Optical absorptance for materials. The data presented here are from those presented in the original source [39].
\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"Milestone",originalUrl:"/media/original/124"}},components:[{type:"htmlEditorComponent",content:'
Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
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\r\n\tThe word "crisis" can show up anywhere, anytime - it can be an acute urgency or a long-term response; it can happen at an individual level to a global scale. It is an interdisciplinary word that takes into account geographical, demographical, religious, social, and climate differences, and, by how it is managed, consequently, can have a difference in its results. We have seen how seemingly far-away issues became "my problem" in the past.
\r\n\r\n\tThe Subprime Mortgage Crisis affected a credit crash in the international financial market. The Fukushima nuclear power plant accident threatened health problems of the Asian countries, while the radioactivity problem remains an international crisis. The Syrian Civil War, from the country's internal economic recession, job disruptions, poor harvests affected by climate change, has raised a large refugee migration crisis. The COVID-19 pandemic has forced our community, from our small family group to a global scale, to adapt to unprecedented events to the continuing instability, anxiety, and uncertainty in our lives. There is a potential crisis with personal information or identity due to the misuse or insecurity of the data management. At the core of all, these seemingly unrelated types of crises are the resultant risk and burden of consequences that can affect all individuals.
\r\n\r\n\t
\r\n\tThe purpose of this book is to provide the readers with an understanding of the characteristics of the crisis itself, recognize the wide range and multi-layer of the crisis from a real situation, give ideas on how to minimize the damage, and find ways to increase resilience in the future. To adapt to the rapidly and diversely changing world, the necessary experience and appropriate management for all kinds of crisis issues will be discussed as well. At the same time, it is intended to suggest elements such as verified scientific and empirical knowledge and applicable technologies; more effective risk management operation; modeling of the risks, manuals, management plans, and strategies.
\r\n\t
Laser powder bed fusion (LPBF) is an additive manufacturing process that uses a laser beam to fuse powder particles in a layer-by-layer fashion, which allows production of complex three-dimensional (3D) structures. LPBF includes selective laser melting (SLM), where powder is fully melted, and selective laser sintering (SLS) for other cases such as solid state sintering, liquid state sintering, and partial melting [1]. The main advantages of LPBF are time efficiency and the capability to build geometries that would be unattainable through traditional techniques. LPBF has revolutionized manufacturing by offering great design freedom for 3D structures to be built directly from feedstock powders without additional processing. Introduced in the late 1980–1990s [2, 3, 4], the LPBF process was initially applied to metals, and later to polymers, ceramics, and recently, to semiconductors [5, 6].
This chapter focuses on laser powder bed fusion of ceramic materials. Typical ceramics are strongly bonded inorganic and non-metallic solids such as crystalline oxide, nitride and carbide materials. Sometimes non-crystalline or partially crystalline glass is also referred to as glass-ceramic. Ceramics feature excellent strength and hardness, good abrasion resistance, high melting temperature, high chemical stability, low ductility, and low electrical and thermal conductivities.
A classification of processing techniques for ceramic materials is summarized in Figure 1. Ceramics cannot be shaped by the conventional forging and machining formation. They are usually formed through multi-step processes [7]. The shaping process begins with powder mixtures that contain binders and stabilizers. The next step is shape forming which includes extrusion, slip casting, pressing, tape casting, and injection molding. The last step is sintering at high temperatures. These traditional processes involve molding and tooling, have high cost, and limit the device geometry that can be produced.
Additive manufacturing on ceramics has been developed in order to overcome some of subtractive manufacturing’s shortcomings, especially with respect to high tool wear, size shrinkage, and difficulty creating complex structures. Additive manufacturing includes binder-based, extrusion-based, and powder-based (LPBF) techniques. Among these, LPBF offers the opportunity for fast and direct fusion without costly post treatments and toxic binders which are often required by other techniques. LPBF-produced ceramic parts have potential to impact several applications such as medical and dental components [8, 9, 10], metal casting molds [11], thin wall structures, turbine blades, nozzles [12], and thermal or electrical insulation [13].
Classification of processing techniques for ceramic materials. Reprinted from [
While LPBF enables rapid manufacturing of ceramic parts with complex structures, there are two technical limitations. First, ceramic powders, as compared with metals, often flow poorly, resulting in imperfect spreading on the powder bed surface. Second, and more importantly, highly localized heating combined with ceramics’ intrinsic low thermal conductivity often leads to large temperature gradients that result in residual stresses and deformation. Combined with ceramics’ brittleness, the two limitations can result in cracking, lack of fusion, rough surfaces, porosity and less than full density. Due to these challenges, current results for LPBF of ceramics are far from satisfactory.
There are several excellent reviews for SLS/SLM of ceramics [7, 10, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]. However, many of the SLS/SLM processing factors such as laser power, layer thickness, or powder bed preheating are still poorly investigated or need to undergo a systematic review. Key insights about process parameters have not been transferred into industry. This chapter provides an introduction to LPBF of common ceramics. The chapter is organized as follows. The first part introduces the main procedure and tools for LBPF. Following that, the second section introduces laser parameters, powder parameters, and other factors for the LPBF process, as well as a few physical properties concerned in ceramic applications. The third part discusses how the processing parameters and other factors influence the physical properties of the manufactured parts as well as the general rules for parameter selections. Then the fourth part illustrates some of the most widely studied ceramic materials processed by LPBF, including the state of art achievements. The final two sections summarize the perspectives and the common LPBF challenges for ceramics.
A basic LPBF system consists of three parts: laser system, powder bed, and spreading system. The laser system includes a laser and a scanner. In order to heat and melt the material, the laser beam has to focus onto the powder surface and be absorbed by the material. The scanner enables the laser to move in a two dimensional plane. The powder bed is a container for the ceramic powders; it usually has adjustable height to allow laser focusing on the newly formed surface. The spreading system often includes a slot feeder to spread fresh powders and a roller or a scraper blade to flatten the surface.
A typical LPBF setup is illustrated in Figure 2. Powders are spread onto the building platform and flattened by a roller, a scraper blade or a combination moving over the surface. The new powder surface moves down one layer thickness to maintain the desired laser focus. The 3D part is decomposed to a number of planes to be processed; each plane consists of a series of basic elements of laser scanning, called vectors. The scan pattern, or the orientation and distance between vectors, is pre-designed. The laser then scans the flat surface of loose or slightly compacted powders following such patterns and selectively melts the illuminated powders. Those powders are quickly solidified after the laser moves away. After that, another layer of powder is deposited and welded, and the process is repeated until a 3D structure in the desired shape and thickness is formed. During the process, unprocessed powder from each layer fills the empty space in the fabrication chamber and supports the part which has been built; afterwards, this powder is recycled. The basic process flow chart is shown in Figure 3. Depending on the materials to be processed, the fabrication chamber is sometimes heated and maintained at a certain temperature to help the sintering or melting process. The Renishaw-AM125 (Renishaw, Wotton-under-Edge, Gloucestershire, UK), and SLM@250HL (SLM Solutions GmbH) are two examples of commercial additive manufacturing machines used to process ceramic powders.
Illustration for basic LPBF procedure.
Basic process flow chart for LPBF manufacturing.
LPBF can be broadly classified in two types: direct and indirect, depending on whether a binder material is used. An indirect process either mixes binder materials with ceramics or coats the ceramics with a polymer. The mixture can be used as dry powders or as wet slurry from a suspended liquid. The binder materials melt and consolidate the ceramic powders during laser scanning. Then a de-binding process removes the binder, and further sintering of the ceramic part is usually required to increase the final part density. In the direct process, ceramic objects are created by sintering or melting without the aid of any binders. Because of the high melting temperatures of ceramics, indirect processing of ceramics is most common [24].
During the LPBF process, many factors affect the final part. The main laser parameters include wavelength, power, scanning speed, hatch distance, scan pattern, vector length [12], ratio of length to width [25], scan angle [25], beam spatial distribution [26], beam spot size [27], point overlapping [28], and continuous or pulsed laser operation. Although most of the parameters have an effect on some aspects of the final product, currently there are not enough experimental data or calculations to relate all the factors. Some parameters are not always adjustable, for example, the wavelength of a certain laser system. As a result, only some of the most important parameters will be discussed. Key laser parameters are shown in Figure 4.
SLM process parameters: laser power, scanning speed, hatch spacing, and layer thickness.
Laser and powder interactions are fundamental to the LPBF process, and laser selection depends on materials [29, 30, 31]. Due to light-matter interactions, materials only absorb light energy for certain wavelengths based on the optical properties. Optical absorption coefficients for some ceramic materials are listed in Table 1. Common oxide ceramics only weakly absorb in the near infrared region while carbide ceramics absorb the 1.06 μm wavelength. Therefore, the CO2 laser (λ≈ 10.6 μm) is better suited for oxide ceramics due to higher optical absorptivity, while Nd:YAG, Yb:YAG or Nd:YVO4 (λ ≈ 1.06 μm) lasers that are common in commercial selective laser melting machines are more suitable to metals and carbide ceramics. Nonetheless, the YAG laser is often applied to oxide ceramics due to its smaller spot size for higher dimensional accuracy, higher specific power, and larger parameter window [28, 32, 33]. The application of the 1.06 μm laser on oxide ceramics is possible because of two effects. First, the absorption for the powder format is usually much higher than the corresponding smooth bulk surfaces due to the multiple reflections effect [34, 35, 36]. For example, the optical absorption for alumina is increased to ~10% at ~1 μm [35, 37]. Second, impurities often increase the absorption and reduce the melting temperatures. While it is common to apply a continuous wave laser in the LPBF process, a pulsed laser can also be used [38]. Several additional laser parameters can be adjusted such as pulse durations, shapes and frequencies. It has been shown that those parameters affected the surface quality. Finally, the laser beam diameter or spot size (usually tens of micrometers in diameter) sets the theoretical limit of the spatial resolution although usually many other factors would prevent such a resolution.
Materials | Absorptance of Nd-YAG laser (λ = 1.06 μm) | Absorptance of CO2 laser (λ = 10.6 μm) |
---|---|---|
ZnO | 0.02 | 0.94 |
Al2O3 | 0.03 | 0.96 |
SiO2 | 0.04 | 0.96 |
BaO | 0.04 | 0.92 |
SnO | 0.05 | 0.95 |
CuO | 0.11 | 0.76 |
SiC | 0.78 | 0.66 |
Cr3C2 | 0.81 | 0.7 |
TiC | 0.82 | 0.46 |
WC | 0.82 | 0.48 |
Optical absorptance for materials. The data presented here are from those presented in the original source [39].
Laser power, scan speed, and hatch distance are the major adjustable parameters are for a laser system. Laser power and the movement of the focused laser spot onto the powder surface should be adjusted to provide enough heat to melt the powers. The hatch distance is the distance between two neighboring melted lines or vectors; it is usually smaller than the laser spot size. The hatching distance and the spot size decide the overlapping percentage coverage. The three parameters often work together to transfer laser energy to the powder bed. For example, if the absorption coefficient is not very high, it may be compensated for by adjusting one or all of the three parameters. It was reported [40] that a combination of high laser power and low scanning speed helps to reduce balling—the formation of spheroidal beads during the LPBF process due to surface tension and insufficient wetting of the preceding layer [41, 42].
A common practice is to use laser energy density
Scan pattern can be single-scan, repeated scan, or cross-scan, with or without contouring. The scan pattern should be chosen based on the material properties and can affect the surface roughness and the mechanical properties of the final product. For example, it was shown that the repeated scan pattern reduced balling [40]. It was reported that contouring helps to generate the same quality for the beginning and ending of scan lines [47]. Also, the contour forms a barrier that keeps the melt pool of the hatch from exceeding the specimen’s boundaries [48]. The overlapping of the two parallel, consecutive laser scans is defined as
Besides laser factors, powders are also critically affect the LPBF process. Powder size affects laser melting efficiency. Large particles generally reduce the pack density of the powder bed and also require more energy to melt. On the other hand, smaller particles tend to agglomerate, which makes it difficult for powder layering or coating. The typical particle size is in the range of a few to several hundred microns. The ability for powder flow is an important factor to decide the particle distribution on the powder bed. Good powder flow is required to form a flat powder surface and a uniform thickness of powder layers, which are necessary to achieve uniform laser energy absorption. Particle morphology and size distribution affect the powder flow, for example, in general powders flow better with the increase of the sphericity and particle size for particles with a narrow size distribution [9, 12, 49]. The “flowability” in turn significantly affects packing efficiency, mechanical properties, and surface roughness. Powder composition, melting point, optical properties, and heat transfer properties also affect the choice of laser parameters and final product properties. Although these powder factors are important, systematic studies on them are lacking. The powder layer thickness is a very important factor, and it needs to be determined according to the laser beam penetration to the powder bed. Layer thickness also affects the energy density to be applied and can affect the surface roughness [50].
Other factors also significantly affect the LPBF process, including pre- or post-processing, secondary laser assistant, application of protective gas atmosphere, etc. The preheating decides the temperature of the powder bed and is particularly important in the case where binders are used since it affects the wetting and spreading properties. Oxidation usually happens if the process is not in an oxygen-deficit environment, which affects the materials’ structure and properties.
The laser beam characteristics and scanning fashion, together with the optical and thermal properties of the powder layer, govern the balance between heating by the absorption of laser radiation and conductive thermal losses. The thermal absorption and dissipation dictate the temperature of the laser-powder interaction zone [51]. With appropriate combinations of laser parameters and proper powders, the interlayer bonding strength and the mechanical strength of the whole component can be improved [52].
Depending on the purpose of applications, attributes of the final products are assessed to determine part quality. Critical attributes are porosity, relative density, surface roughness, dimensional accuracy, strength, micro hardness, and other mechanical properties.
Pores often form in the LPBF processed products. Porosity, the percentage of void space in a bulk material, is hence an important parameter for the laser treated materials. The porosity content can be determined by an image analysis method [53]. Relative density is the ratio of the LPBF-processed part density to the theoretical density of the bulk material. Relative density is a basic parameter of the product. Because of the direct relation between relative density and porosity, it is common to measure relative density instead of porosity since relative density is easier to measure.
Surface roughness measures the surface irregularities, often expressed as numeric parameters Ra and Rz, where Ra is the arithmetic mean deviation of the roughness profile, and Rz is the maximum roughness, or the maximum height of the profile from peak to valley. LPBF of ceramics often leads to a poor surface finish and high roughness because the melt pool is large, and the molten material has low viscosity and thermal conductivity. It was shown that low viscosity large melt pool wet the powders outside the pool boundary, and led to large grains and rough surfaces [48, 54, 55].
Dimensional accuracy is the measure for the accuracy of the LPBF product to the expected parts. The material’s strength is the measure to withstand an applied maximum stress without failure, including compressive, tensile, and shear strengths. Because of cracks and pores, LPBF ceramics have lower strength than their cast counterparts. An important indicator for the mechanical properties for the LPBF product is the bending strength. A positive linear relationship between bending strength and relative density has been reported [56], so relative density can be an indicator for bending strength. Hardness measures the material’s ability to resist permanent plastic deformation.
Using LPBF as the manufacturing technique, the important difference between ceramics and metals is that ceramic materials are particularly subject to cracks and delamination [21] due to the large thermal gradient resulting from ceramics’ intrinsic very low thermal conductivities and very high melting temperatures. Compared to metals, the LPBF-produced ceramics often display lower relative density and rougher surface. While steels made by SLM process are often mechanically stronger than those made by casting [21], currently SLM-manufactured ceramics are almost always mechanically weaker than their counterparts made from conventional methods. Therefore, applying LPBF to ceramics generally presents more challenges than that to metals.
Both direct and indirect methods are capable of processing ceramics close to a full density. The advantage of the direct process method is that post-processing is not required for the parts manufactured, and it is possible to directly manufacture near crack-free ceramic parts with high densities [9]. However, because of the very high melting point, it is common to coat the pure ceramic powder with binders, to make use of the existing or mixed absorption impurities, or to form some sort of low-melting point eutectics with several ceramics. In those cases, a post-processing thermal treatment is often necessary to obtain denser parts.
Both a CO2 laser and a YAG laser can be used for processing ceramics. On the one hand, the longer wavelength CO2 laser corresponds to higher optical absorptivity. On the other hand, the YAG laser yields better dimensional accuracy due to its much smaller laser spot size. However, in order to use the near-infrared laser, additive materials are often mixed with the ceramics to improve laser absorption. The additives are chosen to strongly absorb the laser beam but not to react with ceramics at high temperatures. Many materials can be used for such a purpose. For example, they can be low-melting-point polymers that are eventually burnt off or inorganic powders such as graphite, and sometimes the existing impurities can work as the absorption medium to increase the laser-material coupling.
A suitable setting of laser processing parameters can improve microstructures and the mechanical quality of the processed parts. However, optimizing one single parameter or process usually accompanies other disadvantages for the ceramic process. The choice of a process for a particular design requirement often involves a compromise of other properties. No universally good parameters or processes exist for ceramics processing at this time. Even for the same material, the most common adjustable parameters, such as laser power, scanning speed, hatch distance, and laser spot size, can vary wildly depending on the requirement of a better mechanical strength or a better surface finish. The parameters are crucially dependent on the existence and variety of additives. For example, very different parameter sets for processing alumina exist (Table 2) [27, 28, 55, 56]. Additionally, the parameters also relied on powder and layer factors as well as preheating conditions. On the other hand, for each individual experiment, there are clear trends regarding the laser parameters. Some of the basic trends are summarized below.
Powder size (μm) | Layer thickness (μm) | Laser wavelength (μm) | Laser beam diameter (μm) | Laser power (W) | Scanning speed (mm/s) | Hatch distance (μm) | Energy density (J/mm2) | Relative density (%) | Other conditions | |
---|---|---|---|---|---|---|---|---|---|---|
Al2O3 coated by PVA + resin E06 [56] | 80 | — | — | — | 15, 18, 21 | 1600, 1800, 2000 | 100, 120, 140 | 0.088 | 94.6 | Postheat @ 1600°C |
Al2O3 + 0.1 vol% graphite, slurry [28] | 106 | 50–100 | 1.064 | 69 | 100–150 | — | 50–400 | 5.1–19.9 | 97.5 | — |
Al2O3 slurry [55] | 0.3 | 50–200 | 10.6 | 400 | 2 | 5.2 | 200 | 1.9 | 85 | Preheat @ 800°C; postheat @ 1600°C |
Al2O3 suspension [27] | 0.45 | — | 10.6 | 1.5–2.5 | 72 | 4 | — | 9 | — | Preheat @ 2000°C |
Parameters for LPBF process on Al2O3.
Powder size (μm) | Layer thickness (μm) | Laser wavelength (μm) | Laser beam diameter (μm) | Laser power (W) | Scanning speed (mm/s) | Hatch distance (μm) | Energy density (J/mm2) | Surface roughness (μm) | Compress strength (MPa) | Dimensional accuracy (mm) | Porosity (%) | Other conditions | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SiO2 [58] | — | 100 | 1.06 | 80 | 100 | 100 | 40–60 | 16.7–25 | — | — | — | — | — |
SiO2 (slurry of 60 wt.% power + 40 wt.% sol) [57] | 10–16 | 100 | 10.6 | — | 6.5 | 120 | 100 | 0.54 | — | — | — | — | — |
Silica sand [11] | — | 200 | 10.6 | 300 | 160 | 120 | 200 | 6.7 | ~36 | — | 0.4 | — | Post process: infiltration |
Silica sand (SiO2 + a little Al2O3) [68] | 50 | 150 | 10.6 | — | 120 | 120 | 200 | 5 | 24.8–28.2 | 11.8–13 | — | — | Preheat @ 400°C |
2% PF + silica sand [46] | 98 | 300 | 1.06 | 50 | 5–8 | 300–500 | — | 10–20 J/m (line energy) | — | 0.8 | — | 25.7–36.9 | — |
8.3% PF + silica sand [52] | — | — | 10.6 | 3000 | 12 | 10.8 | 2500 | 0.44 | — | — | — | — | — |
Parameters for LPBF process on SiO2.
Laser energy density is a very important factor in the LPBF process. In general, the adjustment of parameters that increase the laser energy density results in greater fusion ability as demonstrated by a deeper laser penetration depth or a larger melting pool. Increase of the energy density may be realized through increasing the laser power, decreasing the scanning speed, increasing the hatch distance, using a better focus of the laser beam or changing the laser beam size, or increasing the point overlapping. On the one hand, it was difficult to construct ceramic parts successfully due to insufficient solidification of powders with too low laser energy. On the other hand, high laser energy density induces layer shrinkage because of powder layer overheat or ablation, and the ceramic part warps [57]. Energy density crucially affects the relative density and porosity of the laser processed part [27], but the laser energy density and the relative density of the product do not always follow a positive relation. Wang et al. reported that at the region of low laser energy density, the relative density of the produced part increased with the laser energy density, but after a certain value, a further increase of the laser energy density reduced the relative density of the part [56]. Energy density also severely influences the surface conditions and grain sizes of the laser produced parts. Shishkovsky et al. reported larger mosaics on the surface by reducing the energy density through increasing the laser scan velocity and the hatch distance [13]. Yap et al. reported sunken cores for the samples obtained at higher energy densities, suggesting that vaporization of silica material occurred during the process as the silica material absorbed enough energy to be vaporized [58].
Although the concept of energy density is very useful, practically it has to be adopted with caution because there is sufficient evidence to show inconsistent or controversial results if process optimization is only based on this factor. Wang et al. showed a huge difference in the relative density by similar laser energy density while varying the laser point overlapping [56]. Liu et al. also reported the same energy density led to different relative densities and mechanical properties [59]. The issue of the laser energy density has also been noted by the latest research. Because the laser energy density is insufficient to capture the complex physics of the melt pool, this parameter is identified as an unreliable indicator or not a good design parameter for materials’ synthesis by LPBF methods [38, 60]. Although the energy density remains constant, the variable combination of the laser power, the laser scanning speed, and the laser hatch distance plays a significant role, and the laser power has a dictating influence [38]. Liu et al. noted that the influence for the three adjustable laser parameters are not the same to the manufactured parts, precisely, the laser power has the greatest effect, the laser hatch distance is in the middle, and the laser scanning speed has the least effect [59]. However, the different effects among those parameters are not reflected in the concept of the laser energy density. Therefore, the laser energy density cannot be the only criterion in the optimization of process parameters during the SLS/SLM process. An optimum process has also to involve additional process parameters, such as hatch style, laser spot size and laser offsets, and materials properties, including thermal conductivity and reflectivity [38].
Besides laser parameters, powder factors also play a critical role in reaching a high density part. The size and morphology of the powder particles have strong impacts on the powder bed density and the powder flowability and hence significantly influence the product. In order to uniformly spread powders to a thickness of tens to a few hundred microns at high temperatures, a good flowability is critical, which requires powders of specific size distributions and spherical shape. In general, small particles lead to a better surface, and the spherical shape of particles leads to better flowability and less porosity. Hagedorn et al. reported the surface roughness may be improved by decreasing the particle size from 50 to 30 μm [48]. Wilkes et al. demonstrated that spherically shaped particles significantly improved the relative density and porosity [9]. The method of preparing the powder bed and the layering step are important factors, and optimal processes may lead to sizable improvement of the product. The powder bed should be homogeneous, have high packing density and have a stable layer thickness. Bertrand et al. suggested increasing the powder bed density by compression from the roller [12]. Juste et al. also suggested increasing the powder bed density to decrease the cracks and heterogeneities through the use of more suitable powders and/or by considering specific devices to pre-compact the powder bed [28]. Wang et al. compared the experimental and simulated relative density under different pressures and revealed a positive relation between them, as shown in Figure 5 [56]. Compressing the powder bed or each powder layer to a denser format before or during each laser scan cycle should be considered for future development in the LPBF process.
Comparison between the experimental and simulated results of the relative density under different pressures. The data presented here are extracted from those presented in the original source [
The layering step and the deposition technique are critical parts of direct-layered fabrication technologies. For example, Deckers et al. deposited layers through the electrophoretic deposition (EPD) method to avoid large particle and thermal gradients [55]. They suggested slurry-based processes can produce highly dense ceramic parts more easily. Juste et al. also showed good relative density parts using the slurry process [28]. However, this wet process required additional steps. Finally, in the layer-by-layer method, the thickness of each layer is recommended to satisfy the following requirement for a good fusion. Several researchers noted that particles to be ten times smaller than the layer thickness [12, 61], and Bertrand et al. suggested that each layer allow the laser to penetrate at least through the last and the previous one [12]. A proper combination of laser and powder parameters may lead to the desired properties; for example, the laser power, the layer thickness, and the scanning speed greatly affect shrinkage, distortion and warping, which in turn affect the quality and dimensional accuracy of the parts [62].
Cracks and less than full density are common difficulties in laser processed ceramics. Preheating of the powder bed helps form a denser part and to reduce cracks that are created due to stress and lack of thermal relaxation. Hagedorn et al. reported reaching nearly 100% relative density using a secondary laser as the preheating source [48, 54]. However, this method suffers from bad surface quality for the produced part. Wilkes et al. reported generally crack-free samples through a preheating process showing that powder bed preheating reduces thermal stresses and the formation of cracks [9], but superficial microcracks still existed for large parts during the process [48, 54, 63]. The fine cracks are presumably formed due to thermal stress from the uneven distribution of heat within the laser spot, which induces different volume contractions during the melting and cooling process [64]. Although preheating and secondary laser assistance may reduce the thermal stress and help to reduce cracks, the preheating may decrease the powder flowability and impair the process repeatability [12]. A new preheating strategy to avoid the rapid cooling and the thermal stress requires further technological developments.
Another factor affecting the process is the oxygen environment, and the impact of this factor is strongly material dependent. A low oxygen environment significantly reduces the occurrence of balling [40, 41, 65]. Shishkovsky et al. compared the alumina–zirconium ceramics synthesis in both air and argon environments and found an oxygen-deficit environment clearly affected the light energy absorption, the porosity, and the mechanical strength [13]. Savchenko et al. recommended sintering zirconium in an inert gas environment or in a vacuum for stabilization of the tetragonal phase ZrO2 [66].
Today normal SLS/SLM techniques are capable of achieving near full relative density for ceramics, but the resulting ceramics are often compromised by high surface roughness, poor dimensional accuracy, micro-crack formation problems, and poor mechanical properties. In recent years, new developments in LPBF have shown some improvement in these aspects. Exner et al. demonstrated a laser micro sintering technique using a q-switched pulse laser system with 532 nm wavelength to process silica-alumina (SiO2/Al2O3) powder [67]. The intensity of the laser spot of the q-switched beam is a factor of several orders of magnitude higher than that of continuous wave lasers due to its short intense pulses in a nanosecond regime, and a very high recoil pressure was generated for the sintering process. In order to obtain good accuracy and surface finish, fine powders with particle diameter less than 1 μm were used. The final parts had a high geometric resolution of 40 μm, the best surface quality so far, with an average surface roughness Ra ~ 5 μm, and a maximum relative density of 98%. The produced part still had many small pores and micro cracks inside the sintered body. After thermal treatment, the cracks were annealed, and the number of pores decreased although some bigger pores were left. The heat treatment resulted in nearly no shrinkage (<0.7%) of the specimens. The paper also reported a maximum crushing strength of 1400 MPa, and a low tensile strength of 120 MPa that limited its use in high strength components.
With the principles being discussed, it is useful to look at actual examples for some of the most common ceramics: alumina, silica, and mixture of oxide ceramics. These examples are selected to cover ceramic fusion through both direct and indirect methods, SLM and SLS, short (1.06 μm) and long (10.6 μm) laser wavelengths. They also show comparisons for various conditions such as different sized powders, different laser energy densities, with and without preheating or postheating, in air and oxygen-deficit environment, etc. However, the following exemplars do not constitute a completed survey; rather, representative examples are selected to show some of the best progress in the field so far. Some of the processing parameters are summarized in Tables 2
Aluminum oxide, also known as alumina, is often used as an abrasive or a refractory material due to its high hardness, temperature and electrical resistance. Pure Al2O3 melts at 2072°C. Some research on this material takes the indirect route due to the high melting point, but direct SLS/SLM is also possible although it often requires very fine (sub-micron) powders.
The following discussion illustrates the indirect method, the effect of post-heating, and the choice of laser energy density. Wang et al. reported using the indirect method to process alumina [56]. The sample was α-Al2O3 coated by 1.5 wt.% polyvinyl alcohol (PVA) and then mixed with epoxy resin E06, forming spherical powders with a size of 80 μm. The processing parameters were: laser power between 15 and 21 W, a scanning speed between 1600 and 2000 mm/s, and a scan space between 100 and 140 mm. The paper reported the optimized energy density of 0.088 J/mm2, which resulted in a relative density of 34% with a bending strength of 1.05 MPa. Post-processing sintering was necessary for densification. Post-process sintering helped to increase the migration rate, grain growth and pore exclusion. After 4 h at 1600°C, the relative density reached 94.6%, a 178% improvement. The relative density increased with increasing laser power and decreased with increasing hatch distance.1 The relation of the relative density to the scanning speed was more complex in that it initially decreased and then increased with increasing scan speed. Considering the three separate processing parameters, there was an optimum laser energy density which achieved the largest relative density, as shown in Figure 6.
The laser processed Al2O3-resin E06 composite reached the peak relative density value of 0.34 when the laser energy density was approximately 0.088 J/mm2. The data presented here are extracted from those presented in the original source [
The following example shows the SLM process, the effect related to laser point overlapping and layer thickness. Juste et al. mixed alumina powders with 0.1 vol.% graphite to increase the absorption of the Nd:YVO4 laser (1.064 μm) [28]. Graphite was used as the absorption additive because experiments for the pure alumina were not successful, even with a laser power up to 200 W. The slurry of alumina and graphite-based colloidal suspension mixture was spray-dried and then processed in an Ar environment. By optimizing the parameters, a relative density greater than 90% was achieved. An example of the SLM processed parts is shown in Figure 7. The correlation between the product’s relative density to the laser energy density and point overlapping is shown in Table 5 and Figure 8. Energy density directly affects the relative density; however, it cannot be used as the single laser parameter for SLM/SLS processes. For example, laser point overlapping had a significant influence on the geometrical features and microstructures of the product [69]. Juste et al. [28] further explored the effects of layer thickness and found a relative density increase from 76.9 to 85.1% by decreasing the layer thickness from 100 to 50 μm. The SEM micrograph showed a microstructure with smaller pore size, suggesting a better welding between two consecutive layers from a more homogeneous and efficient melting. Hence, a decrease in layer thickness improved the microstructures and the relative density of parts.
Pure alumina parts processed by SLM. Reprinted from [
Powder size (μm) | Layer thickness (μm) | Laser wavelength (μm) | Laser beam diameter (μm) | Laser power (W) | Scanning speed (mm/s) | Hatch distance (μm) | Energy density (J/mm2) | Relative density (%) | Bending Strength σfM (MPa) | Surface roughness (μm) | Dimensional accuracy (μm) | Other conditions | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SiO2-P2O5-CaO [8] | 5–10 | 50–150 | 10.6 | 300 | 5–25 | 50–300 | — | 1.5 | 72 | 4.7 | 25 | — | Post-heat @ 1200°C |
K2O-Al2O3-SiO2 [59] | 5–25 | 80 | 10.6 | 200 | 21 | 1800 | 100 | 0.1167 | 36.45 | 2.08 | — | — | Preheat@ 30–35°C |
ZrO2-Y2O3 [12] | 1–40 | 30 | 1.064 | — | — | 1250–2000 | 20–40 | — | 56 | — | — | — | — |
YSZ-Al2O3 [48, 54] | — | 50 | 1.06 | 200 | 60 | 200 | — | — | ~100 | 500 | 100 | 150 | 2nd laser, preheat@ 1600–1730°C |
YSZ-Al2O3 [9] | 20–70 | 50 | 1.06 | 200 | 60 | 200 | — | — | ~100 | 538.1 | — | — | 2nd laser, preheat@ 1570–1800°C |
YSZ + Al/Al2O3 [13] | — | — | 1.06 | 80 | 50 | 1500–2000 | 20–40 | 0.625–1.67 | — | — | — | — | In air/Ar environment; laser defocalization ~ 6 μm |
Parameters for LPBF process on ceramic mixtures.
Experiment | Relative density (%) | Energy density, | Point overlapping, |
---|---|---|---|
E2 | 57.2 | 5.1 | −44 |
E5 | 67.3 | 6.3 | −44 |
E8 | 76.9 | 7.6 | −44 |
E3 | 0.0 | 5.3 | −477 |
E6 | 0.0 | 6.6 | −477 |
E9 | 0.0 | 7.9 | −477 |
E1 | 92.9 | 13.3 | 28 |
E4 | 97.5 | 16.6 | 28 |
E7 | 97.3 | 19.9 | 28 |
Relative densities vs. laser energy density and point overlapping. The data presented here are from those presented in the original source [28].
Relative density of laser produced part vs. laser energy density The data presented here are extracted from those presented in the original source [
The following two examples demonstrate the direct method without any binders, and they also show how layer deposition is critical for LPBF technique and the effect of varying laser energy density. Deckers et al. used a CO2 laser for direct SLS/SLM on alumina slurry mixed with very fine (0.3 μm) powders of alumina, denatured ethanol, and HNO3 [55]. The layers were then deposited through electrophoretic deposition (EPD). The combination of small powders, EPD deposition, and high preheating temperatures (800°C) reduced the need for large energy density to process the alumina slurry without binders. This treatment helped to avoid large grain size and high thermal gradients. A relatively high density of 85% was obtained after the post-process heating.
Wu et al. also applied a CO2 laser to process 99.8 wt.% pure alumina [27]. The special treatment here is that the fine particles (0.45 μm) of the alumina powder beds were generated through aerosol assisted spray deposition. The study clearly demonstrated the effect of scanning speed (Figure 9) and laser energy density (Figure 10) on the microstructure of the laser-sintered alumina powder beds. A higher laser power, a lower laser scanning speed or a smaller laser beam size resulted in a higher laser energy density, and the resulting higher temperature promoted the densification of the powder bed. By increasing the energy density, the microstructure of the powder beds varied from open pores to full densification.
SEM micrographs of powder beds densified using laser scanning speeds of (a) 4 mm/s and (b) 2 mm/s. Reprinted from [
Cross-section SEM micrographs of alumina powder beds densified using laser energy densities of (a) 4.0 J mm−2 (b) 7.0 J mm−2 and (c) 8.5 J mm−2. Reprinted from [
Silicon dioxide, also known as silica, is one of the most common ceramic materials. As the major constituent of sand, it is very abundant. Silica is widely used as structural materials, in microelectronics, and in food and pharmaceutical industries due to varies properties such as high melting temperature and very low thermal and electrical conductivity. Most silica is produced by mining such as sand mining and purification of quartz. Silica parts can be laser processed by direct or indirect method.
Yap et al. demonstrated the SLM process using a short wavelength laser. They reported complete melting and forming a 100 μm thick layer of 99.7% pure silica powder in Ar through a good combination of parameters even at very low optical absorption (0.04 for SiO2 @ 1.06 μm) [58]. The laser energy density was between 16.7 and 25 J/mm2***. They also showed that sunken cores formed from high laser energy density, suggesting vaporization of silica material during the process.
Lee et al. showed the indirect SLS process on a slurry-deposited layer. They reported successful sintering slurry of silica powder (60 wt.%) and silica sol (40 wt.%) with a small energy density using a CO2 laser [57]. They also demonstrated a better surface finish and a good edge profile with a proper laser energy density feedback control process.
The following two examples show the direct SLS process, and the relation between laser processing parameters and the surface roughness and dimensional accuracy of the sintered parts. Wang et al. made use of a CO2 laser to directly sinter silica sand, which is a mixture of SiO2 (97.51 wt.%), with small amount of a variety of impurity of elements such as Zr, Ti, Ca, Al, Ba, Fe, Cs, Mg [11]. Pure silica softens at 1500°C and melts at 1600°C [11], but the impurities form a low-melting point eutectic that partially melts at 500–700°C. The existence of impurities therefore facilitates the direct laser sintering of the silica sand. Wang et al. studied the influence of the laser process parameters and concluded that larger power and a smaller scanning speed led to greater strength and thickness, but the process also produced a rough surface finish. To improve the surface conditions, instead of a common polishing process, a simple infiltration post-process improved the roughness of the horizontal surface from Ra = 35.6–25.4 μm. One example of the directly sintered parts in silica sand is shown in Figure 11.
Sand mold built from silica sand powders, using LPBF. Reprinted from [
Tang et al. also directly sintered silica sand with a CO2 laser [68] and preheated the powder bed up to 400°C. The silica sand consisted mainly of SiO2 with a very low percentage of Al2O3, and the small amount of Al2O3 acted with SiO2 to form a low-melting-point eutectic. This eutectic facilitated the melting of the surface of the sand particles under laser heating, although the core of the particle remained at the high melting point. The sand particles bound together through the liquid surfaces when the laser beam struck and then quickly solidified after the laser beam moved away. Tang et al. further studied how the process parameters affected the properties of the laser sintered parts and concluded the compression strength of the products increased when the laser power increased and decreased when the scanning speed increased. The largest compression strength they produced was 15.5 MPa with a laser power of 120 W and a scanning speed of 60 mm/s. They also found the surface roughness of sintered products increased when the laser power increased and decreased when the scanning speed increased. The smallest surface roughness they achieved was Ra = 19 μm at the laser power of 120 W and the scanning speed of 180 mm/s. Finally, the absolute errors (the differences from the actual sizes of sintered parts to the design sizes) ranged from 0.1 to 0.5 mm, depending on the laser process parameters. The best result (0.137 mm in the
Liu et al. exhibited the indirect SLS process with a short wavelength laser, and it also showed the relation between laser line energy and porosity, mechanical strength, and shrinkage depth of the manufactured parts. They reported the indirect laser sintering on polymer coated silica sand composite powders using a 1.064 μm laser [46]. The silica sand they used mainly consisted of SiO2 99%, Al2O3 0.22% and micro-content of TiO2 with a melting point of 1750°C [46]. The silica sand was coated with 1.9-2.1 wt.% of phenol-formaldehyderesin (PF). Liu et al. studied the relation between line energy (power/scanning speed) and properties of the sintered parts. The best line energy was located between 10 and 20 J/m, which resulted in a porosity of 29–32% for the laser sintered parts. Both the porosity and shrinkage depth of the powder bed generally increased with the increase of the line energy in that range, while the shrinkage depth gradually fell after 20 J/m. With a set of optimized parameters (laser power of 7 W, scanning speed of 400 mm/s, and laser beam spot of 50 μm), a compressive strength of 0.8 MPa was obtained. This strength was equivalent to that of sand patterns made by the common method and exhibiting strengths in the range 0.5–2.5 MPa [46].
Song et al. demonstrated the indirect SLS process with a long wavelength laser, and they showed the relation between laser process parameter and the dimensional accuracy of the fabricated parts. They indirectly sintered PF/silica sand compounds using a CO2 laser [52]. They found laser process parameters had important effects on the property and accuracy of the sintered parts. For example, the scanning speed affected the size of the sintered parts: with an increase of the scanning speed from 5 mm/s to 13.3 mm/s, the dimensions of the sintered sample shrank for about 1.5 mm in both length and height, and 1 mm in width.
The following example shows the effect of laser energy density and layer thickness to the mechanical properties of the produced part. Silica can be used as bio-ceramics for tissue scaffolds or dental implants when it is mixed with other ceramics or minerals, such as hydroxyapatite (HA), feldspar, kaolin and alumina [58]. F.-H. Liu performed selective laser sintering on hydroxyapatite-silicate slurry with a CO2 laser [8]. The mixture was comprised of SiO2-P2O5-CaO, materials which had the potential to produce bone scaffolds for tissue engineering applications. An optimized laser energy density was critical to the process. An energy density that was too small would result in an overlap between layers less than 15%, which led to insufficient bonding strength. An excessive energy density would result in warping layers if the overlap exceeds 30%. With an optimized slurry (28 wt.% SiO2, 30 wt.% HA, and 42 wt.% H2O), a laser energy density of less than 1 J/mm2 enabled formation of the bio-ceramic parts. The paper further revealed the significant effect of laser energy density on bending strength, as shown in Figure 12. The maximum strength achieved was 4.7 MPa at 1.6 J/mm2.
Relationship between laser scanning speed and laser energy. The data presented here are extracted from those presented in the original source [
The following example exhibited the indirect SLS process and the effect of the laser process parameters. The mixture K2O-Al2O3-SiO2 shows excellent mechanical properties and biocompatibility which come up to the ISO standards as a dental restoration material [70, 71]. Liu et al. studied the composite powder of an epoxy resin binder E-12 and K2O-Al2O3-SiO2 series of dental glass-ceramics through indirect selective laser sintering [59]. The paper described the effect of the laser processing parameters on the relative density of the sintered parts and concluded that laser power, scan spacing, and scanning speed had different effects to the produced part. Specifically, the factor of laser power had the greatest ability to influence the relative density and the bending strength, the factor of scanning speed had the least effects, and the factor of scan spacing was in between. In order to obtain high density parts, they suggested increasing the laser power and decreasing the scan spacing and the scanning speed. However, the authors suggest other factors such as SLS forming efficiency and forming precision should also be considered for optimizing the processing parameters [59]. An example of the processing parameters and the parts’ properties is illustrated in Table 6. The bending strength was basically proportional to the relative density of the sintered parts. Although in general the relative density followed the laser energy density, this relationship was only approximate. For example, sample numbers 1, 4, and 7 had the same energy density but different relative density and mechanical properties. The paper also noted that the preheating temperature was an important processing parameter that affected the viscous binder’s wetting and spreading characteristics, so it had a considerable influence on the relative density of the sintered parts. The optimized processing parameters, the preheating temperature, the laser power, the scanning speed, the scan spacing and the layer thickness were 30–35°C, 21 W, 1800 mm/s, 100 and 80 μm, respectively. Under such conditions, the relative density and bending strength reached 37.40% and 2.08 MPa, respectively. An example of the indirectly sintered glass-ceramic part is shown in Figure 13.
No. | Laser power (W) | Scan speed (mm/s) | Scan spacing (mm) | Energy density (J/mm2) | Relative density (%) | Bending strength σfM (MPa) |
---|---|---|---|---|---|---|
1 | 15 | 1600 | 0.10 | 0.0938 | 34.59 | 1.63 |
2 | 15 | 1800 | 0.12 | 0.0694 | 33.79 | 1.59 |
3 | 15 | 2000 | 0.14 | 0.0536 | 33.70 | 1.54 |
4 | 18 | 1600 | 0.12 | 0.0938 | 34.83 | 1.66 |
5 | 18 | 1800 | 0.14 | 0.0714 | 33.98 | 1.62 |
6 | 18 | 2000 | 0.10 | 0.0900 | 35.05 | 1.98 |
7 | 21 | 1600 | 0.14 | 0.0938 | 36.59 | 2.01 |
8 | 21 | 1800 | 0.10 | 0.1167 | 37.40 | 2.08 |
9 | 21 | 2000 | 0.12 | 0.0875 | 36.38 | 2.02 |
SLS results for dental glass-ceramic powder. The data presented here are from those presented in the original source [59].
Teeth made by SLS under the optimized technical parameters Reprinted from [
For component mixed ceramic materials, it is common to use additive elements to bind them before the LPBF process. However, a pure mixture without a binder is possible to be processed. For example, Bertrand et al. showed a direct process on pure yttria-zirconia (Y2O3-ZrO2) powders through selective laser sintering/melting using a 1.064 μm fiber laser [12]. The authors studied the influence from the powder and the powder bed and found the properties of particles and powder layers significantly affected the product. For example, they found the best powder for the fiber laser to process was a powder in which all particles have a diameter less than 1 μm. Atomized powders helped to avoid electrostatic charges that led to powder agglomeration. Furthermore, the particle morphology directly affected the powder spreading and the powder bed density in that the more spherical particles improved the results although the authors of the work did not specify the aspects which were improved. The layer thickness is a crucial parameter for a good sintering/melting process. To decide this parameter, the paper suggested that the laser had to penetrate at least through the last powder layer and the previous one. Earlier, Wilkes and Wissenbach suggested that the layer thickness needs to be 10 times greater than the particle size for achieving efficient roller powder layering [61]. To satisfy these requirements, Bertrand et al. reported a 30 μm thick layer in their study. The paper also reported the preheating effect and concluded that, on one hand, the preheating reduced the micro cracks; on the other hand, preheating decreased powder flowability and impaired process repeatability. An example from such a direct laser process is shown in Figure 14.
Pure zirconia 3D objects manufactured by SLS/M technology Reprinted from [
The following discussion shows the effect of preheating and the secondary laser assistance. Oxide ceramics such as zirconia and alumina are widely used in industry and in medical applications such as bearing sleeves and valves, high density grinding media, cutting blades, crowns and bridges in dental restorations. Hagedorn et al. reported direct selective laser melting on an eutectic Al2O3-ZrO2-Y2O3 mixture without any binder materials [48, 54]. The mixture was composed of 58.5 wt.% of Al2O3 (melting point 2072°C) and 41.5 wt.% ZrO2 (melting point 2710°C) where ZrO2 contains 6 wt.% yttria (Y2O3) to form a eutectic powder. It demonstrated a complete melting to the ceramic powders using a low optical absorptive Nd:YAG laser with a wavelength of 1.06 μm. The unique feature here is the work applied a CO2 laser assistant that preheated the powder bed surface above 1600°C, very close to the eutectic mixture melting point of 1860°C. The secondary laser helped to reach the melting temperature of the ceramics and led to a large melting pool. Such a process improved the density of the obtained part. For example, with the optimized process parameters, the laser processed part yielded a relative density of approximately 100% without any post-processing. Such a part showed a fine-grained nano-sized microstructure and flexural strengths of above 500 MPa, sufficient for dental restorations. This value is in the same range but at the lower end compared with conventionally manufactured parts which have flexural strengths of 800–1200 MPa for zirconia [72], 400 MPa for alumina [73] and 480–2400 MPa for mixtures of zirconia and alumina [9, 74]. On the other hand, the second laser assistance negatively affected the surface quality and dimensional accuracy because the low viscosity melt pool flowed outside the boundaries of the scanned part and wet the surrounding powders. The surface roughness was Rz ~ 100 μm, one of the best in SLM-processed high-strength oxide ceramics. The dimensional accuracy reached ~150 μm, which was far below that of the conventionally milled parts of ~50 μm. An example of a direct SLM produced full ceramic framework for a dental restoration is shown in Figure 15. A rough surface may induce stress peaks on mechanical loading, which leads to premature failure and thus affects the mechanical strength. The preheating method may also induce thermal shocks during the deposition of the cold ceramic powder, which can result in fine cracks on the surface of the produced part and hence reduce the mechanical strength, as shown in Figure 16.
Direct SLM produced full ceramic framework for a dental restoration Reprinted from [
Crack formation on the surface of the SLM part due to cold powder deposition onto the preheated area Reprinted from [
The following example showed the effect of particle shapes. Wilkes et al. [9] used the same setups from Refs. [48, 54]. The authors studied how the particle shape (spherical vs. irregular) affected the manufactured parts, and found it had a strong influence on the relative density of the SLM produced parts. There was a significant improvement of the porosity and relative density which was most likely due to the better flowability of spherically shaped particles compared to irregularly shaped particles. A parallel comparison of two cross-sections using different shaped powders is shown in Figure 17. The paper described the effect of preheating and concluded temperature differences and gradients during SLM were reduced through the preheating process. Therefore, mechanical stresses were significantly reduced, and large crack formation could be avoided. As reported in Refs. [48, 54], fine cracks can still be found for building up large parts because of the local rapid cooling from the deposition of the cold powder layers on top of the preheated ceramic. The preheated zone in the SLM machine is shown in Figure 18. A comparison of the product surface without preheating and with preheating at 1715°C is shown in Figure 19.
Cross-sections of two specimens made using different types of powder (a) irregular shaped powder particles (b) spherical powder particles. Reprinted from [
Photo of the preheated zone in the SLM machine. Reprinted from [
Cross-sections of specimens manufactured by SLM (a) cracks formation without preheating and (b) crack-free with preheating at 1715°C. Reprinted from [
Shishkovsky et al. showed the effect of an oxygen-deficit environment. They performed alumina-zirconium ceramics synthesis through selective laser sintering/melting [13]. The ceramic mixture was composed of yttria-stabilized zirconia, called YSZ (ZrO2 90 wt.%, Y2O3 10 wt.%), and aluminum or alumina Al2O3 in the ratio 4:1. They investigated the influence of SLS/SLM processing in air or in a protective gas environment. Laser sintering in argon required scan velocities nearly one order of magnitude smaller than velocities when sintering in air, and the surface temperature of the powder bed was much lower in argon, as well. The thickness of one layer that was sintered in one cycle increased by 1.5–2 times, so the energy needed for sintering in argon gas was much smaller than that in air. When operating in air, they also observed strong sparkling and scattering of the powder material from the interaction zone beyond a certain energy density. SLS in air yields ceramics with a dense structure and a uniform distribution of the stabilizing phases although cracks could happen at high laser powers during high-speed cooling. While sintering in argon, a porous part was developed with pore size >100 μm, and the pore shape was elongated in the laser scan direction. Such a high porosity greatly reduced the relative density and the mechanical strength of the sintered ceramics. The surface comparison of the ceramics sintered in air and in argon is shown in Figure 20. The research also compared the SLS and SLM processes and demonstrated that SLM allows for manufacturing objects with a relatively low porosity and a high geometrical accuracy. Examples of the ceramics manufactured from SLS and SLM techniques are shown in Figure 21. The surface porosity appeared to increase by increasing the laser scan velocity and the hatch distance.
Surface comparison of the sintered YSZ-Al/Al2O3 at P = 24.1 W, V = 3.1 cm/s. Magnification: (a) 50× (in air) and (b) 20× (in argon). Reprinted from [
Manufactured ceramic objects: (a) porous filter element from corundum–zirconium ceramics produced by SLS process; (b) samples produced by SLM process from ZrO2 powder. Reprinted from [
Comparing to metals, laser powder bed fusion of ceramics is relatively new, less studied, and less mature [21, 75, 76, 77]. Ceramics are a large materials family which includes oxides (Al2O3, MgO, ZrO2, FeO, NiO, SiO2, CuO, Ca3(PO4)2, etc.), carbides (BC, SiC, WC, etc.), nitrides (Si3N4, Al6N6O2Si, AlN, etc.), sulfides (Yb3S4, CeS, CaLa2S4, MgYb2S4, MnEr2S4, ZnGa2S4, etc.), fluorides (CaF2, BaF2, SrF2, etc.), and ceramic component mixtures (Al2O3-ZrO2, Al2O3-SiO2, ZrO2-Y2O3, Li2O-Al2O3-SiO2, K2O-Al2O3-SiO2, etc.). However, so far the laser powder bed fusion on ceramics has been studied on only a small fraction of this materials family. Not all of them may be suitable for the current layer-by-layer construction technique due to factors such as high melting temperature, different optical/thermal properties, or availability of suitable powders. Further development may lead to construction of multi-material, multifunctional objects.
To obtain desired structural and physical properties of a fabricated part, an optimized process is required for the laser powder bed fusion technique. However, since the process parameters are completely material-dependent and can be varied largely for different ceramics, it is necessary to optimize the process parameters for each material through series of experiments, theoretical modeling, or a combination of both. The optimization includes powder, laser, and environmental factors, as well as possible pre- and post-processes.
In recent years, new development has been focused on using the laser powder bed fusion technique for different ceramic materials and application of the manufactured parts in various industrial and medical fields. However, detailed process-structure studies are still missing. It is critical to investigate the material’ microstructure and the physical properties of the ceramic parts made from laser powder bed fusion. It is therefore necessary to explore the relation among the process parameters, the size, shape, and boundary conditions of the laser-fused micro-grains, and the macro-properties of the fabricated part. Such study will increase the understanding of the laser powder bed fusion technique from the micro- to the meso-scale.
Laser powder bed fusion enables the production of ceramic parts with very high temperatures and excellent precision in a short time. The process is suitable for processing hard materials with complex geometries. However, due to several intrinsic properties, the LPBF technique for ceramics is far from mature and is still in the research and development phase. Limiting factors include susceptibility to thermal stresses, low fracture toughness, and low optical absorptivity in the near-infrared region for oxide ceramics. As these factors are further investigated, the difficulties related to them may be solved. For example, proper choice of lasers and powders, combined with an optimum process, can compensate for or overcome some of the limitations and produce near 100% relative density. Such near pore-free parts have only micro-cracks or no cracks, and their mechanical properties are close to those manufactured from conventional methods. The LPBF technique therefore shows potential for ceramic fabrication and will continue to attract research and industrial interests in the future.
Peroxisomes are small membrane-bound organelles with simple structures but contain enzymes that display a wide range of metabolic activities. About 50 peroxisomal enzymes have been identified where major [1, 2] pathways for metabolism involve α- and β-oxidation of fatty acids, biosynthesis of ether lipids, polyamines, D-amino acids, glyoxylate, and purines. The synthesis and assembly of peroxisomal proteins occur on free ribosomes which are then imported into these tiny organelles as completed polypeptide chains. The disorders related to peroxisomal functions can be attributed to a disturbance in the formation of the organelles or might be related to defects in either a particular peroxisomal enzyme or a related transporter [3, 4]. The metabolic disorders promote the accumulation of substrates that are usually degraded by specific peroxisomal enzymes. A variety of clinical symptoms has proven to be very severe leading to an early death.
Peroxisome-related homeostatic balance is an indispensable mechanism of health where the removal of worn-out and defective peroxisomes occurs through autophagy. Association with mitochondria is reflected when commotion of peroxisomal function results in disruption of mitochondrial function. The impaired peroxisomal function has been found to be instrumental in special conditions of neurodegenerative disorders and diabetes, while dysregulation in peroxisomal function can result in cancer [5, 6]. There has been increasing evidence linking peroxisomal misregulation to the eruption of several diseases which potentiate an elevated possibility of targeting peroxisomal involvement in disease prevention or treatment.
Peroxisomes are amazingly active organelles, which have an important role in lipid and hydrogen peroxide metabolism making them elemental for human health [7]. Despite great advances in identification of essential components and related molecular mechanisms, an understanding of the process by which peroxisomes are incorporated into metabolic pathways is of elementary importance. The interaction of peroxisomes with other subcellular compartments, metabolic co-operations, peroxisome–peroxisome interactions, and the interaction of peroxisomes with microtubules needs to be addressed to utilize this information directly to combat the process of disease development.
Peroxisomes are consigned to clearing up the reactive oxygen chemical debris cast off by other organelles, where their functions extend far beyond hydrogen peroxide metabolism [8]. Peroxisomes are closely associated with mitochondria, and their ability to carry out fatty acid oxidation and lipid synthesis may be highly implicated in generating cellular signals required for normal physiology. The biology of peroxisomes and their relevance to human disorders, including cancer, obesity-related diabetes, and degenerative neurologic disease cannot be undermined [9].
Peroxisomes are multifarious where they invariably modulate the metabolism of reactive oxygen species and primary homeostatic mechanisms, such as oxidation of fatty acid, synthesis of bile acid, and transport of cholesterol. Henceforth, it is implicative that peroxisomal homeostasis is an important regulator of health, and disruption of peroxisomal function can lead to mitochondrial dysfunction, reflecting the intimate link between the two organelles [10].
The impaired peroxisomal function leads to neurodegenerative disorders and diabetes, but dysregulation may have far-reaching effects, such as the development of cancer [11]. The peroxisomal function is also transformed with aging owing to deviations in the expression and/or localization of peroxisomal matrix proteins.
The homeostatic mechanisms of peroxisomes are undermined by the existence of distressing genetic disorders attributed to impaired peroxisomal function. However, with amplified evidence connecting peroxisomal dysfunction to the pathogenesis of these acquired diseases, it can be utilized as a druggable target in disease prevention or treatment [12].
The immune system evasion is one of the mainstays of cancer, and peroxisomes have an indispensable role in the regulation of cellular immune responses. Investigations of individual peroxisome proteins and metabolites provide for their pro-tumorigenic functions [13]. It is, therefore, important to highlight new advances in our understanding of biogenesis, enzymatic functions, and autophagic degradation of peroxisomes, which shall avail enough evidence to link such activities to tumor development. Such findings shall add to the possibility of exploitation of peroxisome-related processes for efficient battling against cancer.
With the above, emerging evidence, exploring the possible sites of activation of peroxisomal receptors could be intriguing with respect to the benefit and risk ratio.
In this context, it was deduced that activation of peroxisome proliferator-activated receptors (PPARs) can be considered an efficient strategy for the treatment of metabolic dysregulation [14]. An ample of new moieties having the prospects to stimulate peroxisome proliferation have been discovered in the recent past.
The receptor which was cloned from a mouse liver, and titled a peroxisome proliferator-activated receptor (PPAR) could regulate the expression of sizable genes involved in the regulation of glucose and lipid metabolism [15].
Besides, the ligands which activate PPARs lead to the promotion of co-activators and inhibition of co-repressors remodeling the chromatin and initiating transcription [16].
The peroxisome proliferator-activated receptors (PPARs) are a set of nuclear receptors namely PPAR gamma, PPAR alpha, and PPAR delta, encrypted by diverse genes. PPARs are ligand-regulated transcription factors regulating gene expression by binding to specific response elements (PPREs) within promoters. PPARs bind as heterodimers with a retinoid X receptor and, upon binding agonist, interact with cofactors such that the rate of transcription initiation is increased [17].
The PPARs are major regulators of lipid metabolism where fatty acids and eicosanoids have been recognized as common ligands. Synthetic PPAR ligands, such as fibrates and thiazolidinediones, have been effectively used in the treatment of dysregulation of lipids and glucose metabolism.
The discovery of these ligands led to the disclosure of many impending functions for the PPARs in pathological metabolic situations, such as demyelination, atherosclerosis, and cancer [18].
It has been recognized as the nuclear receptor for a class of rodent hepato-carcinogens leading to the proliferation of peroxisomes. PPAR-α is a transcription factor that happens to be the major regulator of lipid metabolism in the liver [19].
It is primarily activated via ligand binding where fatty acids, such as arachidonic acid and their metabolites from the ligand groups. Another category consists of synthetic ligands, such fibrate drugs referred to as peroxisome proliferators [20].
PPAR- δ is a nuclear hormone receptor that manages diverse biological processes involved in the progression of several chronic ailments, viz. obesity, atherosclerosis, and cancer [21].
PPAR-δ act as an integrated unit for transcription regulation and nuclear receptor signaling. It stimulates the transcription of a wide variety of target genes by binding to specific DNA elements.
Many fatty acids and their derivatives induce PPAR δ viz. arachidonic acid and its metabolites [22].
PPAR-γ or the glitazone reverse insulin resistance receptor, is a type II nuclear receptor that is encoded by the PPAR-γ gene in humans [23, 24]. The protein encoded by this gene is PPAR-γ, which regulates the differentiation of adipose cells [25]
When the activity of PPAR-γ is regulated via phosphorylation through the MEK/ERK pathway, it results in decreasing transcriptional activity of PPAR-γ. The result is a loss of insulin sensitivity due to diabetic gene modifications. Owing to the above reasons, PPAR-γ has been implicated in the pathology of numerous diseases, including obesity, diabetes, atherosclerosis, and cancer [26].
PPAR-γ controls fatty acid storage and metabolism of glucose. The genes activated by PPAR-γ stimulate lipid uptake and adipogenesis by fat cells. The agonists have been reported to be used in the treatment of hyperlipidemia and hyperglycemia [27].
PPAR-γ decreases the inflammatory response of many cardiovascular cells. PPAR-γ activates the paraoxonase-1 gene, resulting in an increase of paraoxonase 1 in the liver, which reduces the incidence of atherosclerosis [28].
The prevalence of metabolic syndromes is growing in the adult and pediatric groups which include majorly atherogenic dyslipidemia raised blood pressure, and pre-eminent plasma glucose [29].
Peroxisome proliferator-activated receptors (PPARs) may come up as potential therapeutic targets for the treatment or prevention of metabolic syndromes. Further, there is substantial evidence that its agonists are, therefore, used in the treatment of metabolic syndrome and cardiovascular diseases [30].
Activation of peroxisome proliferators-activated receptor (PPAR) is invariably indulged in varied mechanisms related to lipid profile.
One of the researches in this area confirmed the role of herbs in the stimulation of PPARα. Among the tested plant extracts, about nine had shown moderate PPARα transactivation [31]. The bioactive, piperine, and capsaicin revealed substantial trans-activational activities followed by a moderate activity in chalcones. It was concluded that a diet rich in natural products viz. herbs, act as PPARα agonists improving the lipid profile.
PPAR ligands disturb the survival of cancer cells in such a way that the metabolism enters into complete devastation. Owing to the potential of PPAR ligands, they are been considered a potential source of anticancer agents, with minimal toxicities [32].
PPAR activation disrupts the metabolism of cancer cells mainly by blocking the synthesis of fatty acids and promoting fatty acid oxidation. Owing to nutrient depletion, in the tumor microenvironment, PPAR coordinates with AMP-dependent protein kinase in repressing oncogenic Akt activity, inhibiting cell proliferation, and inducing glycolysis-dependent cancer cells into “metabolic failure” [33].
There is substantial evidence for the antiproliferative role, and prevention of metastatic indulged by PPAR ligands, which prompts a detailed compilation on the possible potential of PPAR in tumor suppression [34].
Suppression of inflammation is another mode contributing to anticancer effects. PPAR takeover the inflammation and activation of uncoupling proteins, which wanes the mitochondrial ROS generation and resultant cell proliferation. PPAR ligands can be considered as a low-toxic and well-tolerated therapeutic moiety to combat cancer [35].
The peroxisome proliferator-activated receptor γ ligands exhibited anticancer activity
At the molecular level, these can decrease the levels of cyclin D1 and E, nuclear factor κB, and inflammatory cytokines. Some relevant data support the fact that PPAR γ might act as a gene for tumor suppression. On the other hand, several captivating pieces of evidence, suggest that under certain specific settings, PPAR γ ligands can lead to cancer [37].
Yet, the bulk of studies still reflects the fact that PPAR γ ligands bear antiproliferative potential against numerous transformed cells and may be applied in adjuvant treatments strategies for several common tumors [37, 38, 39].
As per research by Morinishi et al., activation of PPAR-
Colorectal cancer poses one major threat due to excessive dietary fat posing as a major threat. As it is involved in the regulation of lipid and carbohydrate metabolism, it needs to be studied extensively in this case [41]. Despite the fact, that researchers have scrutinized the expression and clinical repercussions of PPARs in colorectal cancer, the exact mechanism needs to be further explored.
Diverse studies have been undertaken, focusing on the assumed link between the polymorphisms and mutations of the PPAR
Ikezoe et al. [44] analyzed 397 clinical samples and cell lines, including colon, breast, and lung cancers for mutations of the PPAR
There has been substantial experimental data supporting that synthetic PPAR
Specific tumors behave variably in terms of peroxisomal activity. It has been observed, thus, that the enzymatic activities of peroxisomal metabolism decline in the breast [47], colon [48], and hepatocellular carcinomas [49]. Similar observations were recorded in renal cell carcinoma [50]. In a related finding, von Hippel-Lindau (VHL)-deficient clear cell renal carcinoma displayed reduced peroxisomal activity. In contrast to this, some reports reveal that peroxisomal metabolic activities lead to enhancing the growth of tumors [51]. Few cancer cells count on peroxisomal lipid metabolism for energy and support the survival of cancer cells in the tumor microenvironment [52]. This controversial behavior of peroxisome indicates the fact that under a certain specific environment, it promotes or diminishes cancer growth, which may be attributed to the type of tumor. In this regard, it is implicative to further investigate the inducing factors that decide the fate of the metabolism of peroxisomes, closely related to its cancer proliferation effects.
Many studies have been undertaken to study the potential of the combinatorial approach where PPAR agonists can be used for the treatment of resistant cancers [53].
In research by Kaur et al., the probable effect of selective agonism by PPAR gamma receptors was studied for radiation therapy in non-small-cell lung carcinoma [54]. The agonist used was Rosiglitazone. A reasonably significant increase in the intensities of radiation-induced apoptosis was detected in H1299 cells attributed to enhanced PPARG expression. Consequently, it was deduced that PPAR gamma agonism stimulates the radio-sensitizing effect.
Another investigation was undertaken on the expression of PPAR gamma in human normal cervix and cervical carcinoma tissues. The effect of PPAR gamma ligands on the sustenance of cervical cancer cells was also an aim. It was observed that the PPAR gamma protein expression, was lessened in cervical carcinoma in comparison to normal cervical tissues [55].
Similar results were revealed using the effect of Ciglitizone on cell proliferation, which reflected noteworthy growth inhibition on human cervical cancer cell lines, C-33-A and C-4II. It further added to the substantial evidence for the role of PPAR in multiple human cervical cancer tissues and cell lines where a downregulation is encountered [56]. Several
The fact potentiated was that obesity is undoubtedly an important risk factor, resulting in upregulation of PPAR gamma, consequently leading to incidence and progression of PCa [58]. In an interesting work, the expression of PPAR γ was studied in epithelial cells in the colon. There was a differential expression of PPAR in different segments of the colon. Specifically, in the cell lines, Caco-2, and HT-29 human adenocarcinoma cells, PPAR γ expression was amplified upon differentiation. A significant role was observed as reflected in the amplified expression of PPAR γ was observed in the colon (Table 1) [59, 60].
S. No. | Bioactive | Mechanism | References |
---|---|---|---|
1. | Capsaicin | Induction of apoptosis in melanoma, colon, and prostate cancer cells. It was attributed to the activation of the PPAR γ | [61] |
2. | Linoleic acid | It was found to modulate interactions between PPARβ/δ and PPARγ isoforms. Conjugated linoleic acid (CLA) was able to induce apoptosis, upregulate PPARG gene expression and activate PPAR γ protein in certain human cancer cell lines. | [62, 63] |
3. | β-carotene | The chemopreventive activity of β-carotene against breast cancer showed a significant increase in PPAR γ mRNA | [64] |
4. | Carotenoids: Fucoxanthin | Activates PPAR-γ in cancer cells. It was reported that the edible carotenoid fucoxanthin when combined with 6-troglitazone, induced apoptosis of Caco-2 cells. oreover, in epidemiological studies, the consumption of carotenoids was shown to protect against breast cancer. | [65, 66] |
5. | Kaempferol and Apigenin | It was found that flavonoids stimulated PPAR-γ transcriptional activities as allosteric effectors and are beneficial in Prostate cancer. | [67] |
6. | Daidzein | They bind to the estrogen-related receptors but also PPARα and PPARγ. As a result, their biological effects are determined by the balance between activated ERs and PPARγ. | [68] |
7 | Triterpene glycosides: Glycyrrhizin Triterpenoid acid: Betulinic acid | Triterpene glycoside both have shown pro-PPAR-γ activities in cancer cells. | [69] |
8 | Resveratrol | PPAR γ plays a role in Resveratrol-induced apoptosis of colon carcinoma cells. The combination of resveratrol with a PPARγ agonist rosiglitazone proved as an option for colorectal cancer. | [70] |
9 | Genistein | It impedes the OS cell cycle as a nontoxic activator of PPAR γ. It has been shown to lower the production of prostaglandin E2 in MDA-MB-231 human breast cancer cells and to reduce the invasiveness of these cells The effect of eicosapentaenoic and docosahexaenoic acids in activating PPAR | [71, 72] |
10 | Flavone Wogonin | It has been shown that PPARα activation by wogonin downregulates osteopontin a multifunctional protein involved in several physiological and pathological events, such as cancer. | [73] |
11. | Flavanones Hesperetin, Naringenin, and their glycosides Epigallocatechin-3-galllate | Induced expression of PPAR | [74] |
Role of bioactive in the modulation of PPARs for treatment of various cancers.
To exploit the peroxisomal metabolism for anticancer approaches, several constraints need to be addressed in the first place [75]. Foremost, it should be assessed for its possible side effects on non-malignant cells as overhauling the metabolism might result in serious side effects. Next, the concern might be the differential behavior of the diverse cancer cells and their lineage [76].
The tumor heterogeneity is anyhow allied with differential metabolic activities. In this context, the selection of the study group may be very crucial [77]. It may also affect the prerequisite of peroxisomal functions in a specific subset of tumors [78].
PPARs, commonly known as modulators of genetic expression, exhibit variant tissue expression depending upon differential microenvironment and have thus attracted a lot of attention whether singly or in a combination strategy [25, 79].
This process can then activate the transcription of various genes involved in diverse physiological and pathophysiological processes that play main roles in the pathogenesis of several chronic diseases, such as atherosclerosis [80], diabetes [81], liver disease [82], cardiovascular diseases [83], and cancer, involving inflammatory effects and their corresponding clinical implications [84].
Though therapeutic approaches to target peroxisome metabolism in cancer have been on a rise and pursued very closely by keen researchers, not many modulators have been assessed completely. Henceforth, well-defined
Peroxisome metabolism has been invariably linked to the functions of organelles, viz. endoplasmic reticulum and mitochondria [86, 87]. The disruption of the association between the organelles and peroxisomes refurbishes the cancer cell metabolism. Further, it can be ascertained, that probable peroxisome targeting with drugs that inhibit the related organelles may lead to amplified anticancer mechanics [75].
It can be useful where targeting peroxisomes might enhance the targeting of other metabolic pathways in cancer. It, however, remains unveiled whether the alteration of peroxisome metabolism is a consequent event due to alterations in metabolism due to cellular changes during cancer or bears a prime position in the development [88].
However, it can never be disregarded that ample research has substantiated the potential of peroxisomes as absolute cancer targets while further exploration role of peroxisome metabolism in the genesis of tumors might prove to be a curtain-raiser. A rational approach to drug design can be attained by the revelation of the regulatory machinery and transcriptional focus of the PPARs. Focused research in this direction may provide a perfect perception of the development of metabolic diseases including cancer.
The authors are thankful to the Chancellor, Integral University, Lucknow-226026, Uttar Pradesh, India for his sustained encouragement, meticulous supervision, and valuable suggestions at all stages of completion of this chapter. The authors are thankful to the Faculty of Pharmacy, Integral University for providing all the necessary facilities related to the present work. The authors are also thankful for the research cell, Integral University.
The authors declare no conflict of interest.
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