Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\n
Throughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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\r\n\tThis book aims to provide readers with the basic concept of drug development are scientific formulations based on preformulation data. The pure bioactive obtained from the natural sources and their developed formulations are characterized using various techniques such as FTIR, Mass Spectroscopy, NMR, HPLC/HPTLC, etc. The formulations so obtained may be optimized for stability studies as per ICH guidelines. In preclinical study developed formulations could be screened by appropriate animal models of diseases. The safe and effective doses of medicaments and their formulations could be determined based on acute and chronic toxicity studies. The in vitro methods and the data so obtained will be further analyzed and will be interpreted with non-clinical data. The in vitro in vivo correlation (IVIVC) studies will help for further clinical studies. Various regulatory aspects and approval processes for marketing authorization for both generic and patented molecules are helpful for commercialization. The data obtained from the clinical drug development phases will further help the clinician in dose adjustment for both acute and chronic conditions.
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1. Introduction
\n
From the exponential popularity of Internet and its derived new services, recently deployed communication networks should be capable to provide more information throughput than ever. On a recent study [1], CISCO has estimated that global Internet traffic has increased by a factor of height over the past five years and will increase nearly by a factor of four over the next five years, with an annual global Internet protocol (IP) traffic exceeding the tens of zettabyte mark by the end of 2017.
\n
High definition (HD) streaming video and peer-to-peer applications use the majority of bandwidth in most broadband networks today. When we add the bandwidth requirements of online social networks, Internet browsing or online gaming, broadband service providers have to supply an increasingly larger amount of bandwidth. Besides human-made Internet traffic, machine-to-machine (M2M) communications [2], fostered by smart city applications [3] and the opening of new radio channel opportunities [4] are spreading globally. The Internet of things (IOT) [5] will contribute even more to increase the quantity of data exchanged in communication networks, and especially on optical communication networks, used both by wireless and cable communications.
\n
Photonics technologies have largely contribute to the considerable development of telecommunication networks, since they appearance 30 years ago, and one can predict that they will serve as ground for most of the network revolutions still to come. A recent study [6] of the drivers of photonics suggests that its future development will be made along four main paths: to make optical networks faster, more transparent, more dynamic and greener. With current technology, it may be difficult to follow simultaneously all four path, which is a major constrain to implement a novel generation of optical networks. However, these difficulties may be relieved by recent developments in the field of wavelength conversion, all-optical signal processing and flexible techniques to generate enhanced modulation formats in optical signals.
\n
In this context, this chapter presents several techniques on format conversion of modulated signals, using Mach-Zehnder interferometers with semiconductor optical amplifiers (MZI-SOA). The MZI-SOA show very attractive properties, and therefore, the goal is to investigate their potential as an optical node for the dynamic conversion and generation of optical signals. As such, two techniques to implement all-optical modulation format conversion are explored. These techniques, when applied in interconnection nodes between different optical networks with variable bit rates and modulation systems, allow a better efficiency and scalability of the network.
\n
\n
2. MZI-SOA features
\n
This section presents an experimental methodology to study the static and dynamic properties of the MZI-SOA. The device under test is a commercial hybrid-integrated device, manufactured by the centre for integrated photonics (CIP) [7], consisting of a passive, planar silica balanced MZI with nonlinear SOAs and phase shifters (PSs) assembled in each interferometer arm. Sections 2.1 and 2.2 describe the characterization of active and passive components of the MZI-SOA, in static operational conditions. The methodology uses simple optical power measurements to extract operative parameters. Then, section 2.3 investigates the dynamic properties of the MZI-SOA as an optical gate. Overall conclusions about this topic are presented at the end.
\n
2.1. Static properties
\n
MZI-SOAs are devices with a small footprint, but a huge potential for application in many optical domains. They can be used in optical gates [8], digital phase and amplitude modulation [9], wavelength conversion and switching [10], signal regeneration and all-optical processing [11], among others. In all these applications, the operational parameters of MZI-SOA active elements (SOA and PSs) must be previously calibrated, to set an optimal setting point in terms of power/phase variations and mean output power, according to the available inputs and the expected application. The majority of the biasing point procedures require extensive and complex initial setup stage, which changes from device to device, due to their intrinsic production yields.
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Figure 1 show a photograph of the MZI-SOA under test in this experimental study. The package contains two MZI-SOA structures on a single chip [12]. The MZI-SOA is hybridly incorporated with a silica substrate (motherboard) that contains the optical waveguides, such as Y junctions and couplers; the SOAs are built-in on an independent silicon board, which is passively assembled in the motherboard; the active elements, i.e. the PSs and the SOAs, are assembled in the daughterboard; a Vgroove to simplify fibre pigtailing of the motherboard [13]. MZI-SOA with hybrid integration result in more flexibility but increased yields, where each active and passive element has its own asymmetries and tolerances (e.g. asymmetric splitting ratio of the couplers). These issues have various implications in some MZI-SOA functionalities, for example, on the maximization of extinction ratio (ER) between the output ports. For experimental testing, the chip was installed on a prototype box that included SOA current and phase shifter voltage electronics together with temperature control. A temperature control system takes measurements from a thermistor and actuates on a Peltier cell to keep the chip temperature constant at the desired value. All measurements were made at a temperature of 25°C.
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Figure 1.
Twin MZI-SOA device used for experimental measurements. A strip of eight fibres enters the MZI-SOAs on the right (four fibres per MZI-SOA), and a strip of four fibre exits on the left (two fibres per MZI-SOA).
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Due to the interferometric configuration of the MZI-SOA, the power distribution along the interferometer arms will affect the interference strength at the output and its eventual optimization. Thus, it is essential to characterize all passive parts. To execute the experimental analysis on the device asymmetry, we use the setup depicted in Figure 2. Each arm of the MZI incorporates one SOA and one PS. For each input-output path, two sets of switches are used, as seen in Figure 2. This configuration allows measurements of the gain of one of the arms when the other arm is blocked by a switched off SOA, and the SOA gain dependence on the biasing current.
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Figure 2.
Experimental setup used to characterize the MZI-SOA with power measurements.
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A distributed feed-back (DFB) laser with wavelength 1546.12 nm is used as the input signal and will be kept fixed in all upcoming experimental tests (The wavelength was chosen according to the MZI-SOA manufacturer specifications). All power measurements were obtained through a power meter (PM).
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2.1.1. Internal couplers
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In order to carry out the analysis of all MZI-SOA internal couplers, and their asymmetry properties, each input-output path is analysed independently, biasing one SOA at time accordingly to the path. For all coupling factor measurements, continuous wave (CW) laser input power is constant at 3 dBm. When simply biased, the SOAs current value is set to 200 mA. PS1 and PS2 are always switched off, with voltage source = 0 V, since a PS has little impact on couplers characterization, and only one SOA is biased at each measurement.
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Figure 3.
Setup for the characterization of K1 coupling factor.
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Coupling factor of coupler K1 is characterized using the setup depicted in Figure 3. SOA1 is biased at 200 mA and SOA2 is switched off, i.e. with 0 mA current.
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Port #I is used as the input, but port #J could also be used as well. Power measurements must be carried out at ports #A, #B and #C, with a PM. Coupling factor α1 is obtained as
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α1=P#A(P#A+P#B+P#C)E1
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using a linear scale to express power values.
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With SOA1 unbiased (0 mA) and SOA2 biased at 200 mA, K2 coupling factor is measured when light is injected through MZI-SOA port #J and optical power measurements are made at ports #B, #C and #D, as depicted in Figure 4.
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Figure 4.
Setup for the characterization of K2 coupling factor.
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Coupling factor α2 is computed as,
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α2=P#D(P#B+P#C+P#D).E2
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Figure 5.
Setup for the characterization of K3 coupling factor.
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The coupling factor of coupler K3 is computed from two power measurements, at port #B and port #C, as shown in Figure 5. Either SOA1 or SOA2 could be biased at 200 mA, but one SOA must be switched off.
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Input power can be injected from port #I or port #J. Coupling factor α3 is obtained through the following expression,
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α3=P#B(P#B+P#C).E3
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At last, K4 coupling factor calculation follows the setup depicted in Figure 6. When the input optical power is injected on Port #D, then we should bias SOA2, and SOA1 should remain unbiased. If the selected input is port #A, then SOA1 should be biased and SOA2 switched off. If the input is either port #B or #C, then anyone of the two SOAs can be used.
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Figure 6.
Setup for the characterization of K4 coupling factor.
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Power measurement is taken at ports #I and #J. Coupling factor α4 is given by,
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α4=p#I(p#I+p#J).E4
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From the measurement results presented in Table 1, we conclude that couplers are not symmetrical, as ideally would be expected on this device. Furthermore, splitting factors are all different. This asymmetry induces an uneven power distribution along the interferometer arms that in any operational point will cause side effects, such as different saturation levels of the SOAs from each arm.
From here, we can observe the coupling factor of all passive couplers inside the interferometric structure and compute the overall asymmetry on the power distribution along the interferometer arms.
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2.1.2. SOA
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The next stage of the interferometer characterization is the analysis of SOA output power dependence on input power and SOA bias current. These measurements were realized, considering the two arms individually, first with a light path from input #B to output #J and SOA1 unbiased; then, with a light path from input #A to output #I and SOA2 unbiased, as depicted, respectively, in Figures 7 and 8. It is important to emphasize that this analysis refers to the whole light path where the optical wave propagates, so it includes all power losses and any other type of asymmetry of the interferometer chip.
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Figure 7.
Setup for the characterization of SOA1.
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Figure 8.
Setup for the characterization of SOA2.
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For the evaluation of the SOA dependence from bias current, the injected power of CW power is set previously at a low value and the bias current is swept from 150 to 400 mA. For each current step, the optical power value on the output port is first measured and then saved. Then, input power is gradually increased, respecting the maximum permissible power given by the device specifications, and the previous process and measurements are repeated. Figure 9 shows the results of the dependence of the SOA output power as a function of the SOA bias current.
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To characterize the influence of the input power on the SOA gain, the power of a CW laser is gradually increased from 1 to 10 mW, while the SOA bias current is kept constant. The output power is then recorded for each measurement. From Figure 10, we observe the SOA output power dependence on the input power, for both SOAs and several bias currents. From the resulting curves, we obtain the necessary setting points (input power and SOA bias) when the SOA gain begin to saturate.
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Figure 9.
MZI-SOA output power at port #I (full line) and #J (dashed line), as a function of SOA1 and SOA2 bias current, respectively. Input power equal to −8, −2 and 10 dBm (asterisks, circles and squares, respectively). The lines are guides for the eyes.
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Figure 10.
MZI-SOA output power at port #J (dashed line) and port #I (full line), vs. input CW power at ports #D and #A, respectively. SOA bias currents are adjusted to 100, 200 and 300 mA (asterisks, circles and squares, respectively). The lines are guides for the eyes.
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2.1.3. Extinction ratio characterization
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The power at each output ports of the MZI-SOAs under test (ports #I and #J) is a result of an interference process taking place in coupler K4. The intensity and phase of the optical signal of coupler K4 inputs will set the conditions for the measured outputs. In particular, when used as an intensity modulator, one key factor to take into account is the ER between the output signals. By definition, the ER is the ratio of the optical power levels measured at output ports #J and #I,
The ER value is given in dB and power P#I and P#J are given on a linear scale.
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As an example, the power distribution on the MZI-SOA internal waveguides can be varied even more, through SOAs current variation, leading to the subsequent change of the interference settings on coupler K4. To observe the effect of bias currents on the ER, we employ the setup from Figure 11. Port #B receives a CW signal, and both PSs of the MZI-SOA remains unbiased (voltage set to 0 V).
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Figure 11.
Setup for the characterization of ER dependence on bias current.
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In Figure 12, we observe the dynamic of both the constructive and destructive interference, respectively, at the output port #J and #I, by gradually increasing SOA1 bias current, with SOA2 current constant at a reference value (200 mA).
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This process is repeated with SOA1 bias current constant at 200 mA, while SOA2 current is swept, using a CW laser beam connected at input port #B. With this methodology and after measuring the power at the output port #I and #J, we observe in Figure 11 that there is a misalignment between #J and #I maximum and minimum power levels. This is caused by the gain variation in the SOA with the varying bias current, together with the asymmetrical coupling factors of the couplers and the phase shift of the electromagnetic field. The best operational point, without phase shifters corrections, is established searching for SOA1 bias current for the maximum ER.
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Figure 12.
MZI-SOA output power at port #I (squares) and port #J (circles), as a function of SOA1 (dashed line) and SOA2 (full line) bias current. Input power is injected at port #B. The lines are guides for the eyes.
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2.2. Dynamic characterization
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After the static characterization, this section investigates the dynamic properties of the MZI-SOA. This study is focused on the properties of the MZI-SOA as an optical gate.
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2.2.1. Experimental setup
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Figure 13 shows the proposed setup to characterize the dynamic properties of the MZI-SOA. The setup follows the wavelength conversion design presented in Ref. [14], in a co-propagation design. This setup implements an all-optical exclusive OR (XOR) logical gate using a single MZI-SOA chip. From the MZI arms, both optical signals are launched into the SOAs, where their carrier densities and thereby the refractive index are modulated. This result in a phase modulation of the CW probe signal propagating through the SOAs by cross-phase modulation (XPM), according to the intensity variations of the input control signals. By carefully setting the input optical powers and controlling the SOA bias current, the control signal from the two SOAs interferes either destructively or constructively at the output of the MZI in order to provide the logical XOR operation of the two data sequences on the optical probe signal. From the XOR truth table, when both data signals injected at ports #D and #A are time synchronized, no pulses are observed on the probe signal at the MZI-SOA output (port #I). On the other hand, as the data signals give up time overlapping, some pulses with increasing intensity will appear on the probe signal, at the same MZI-SOA output.
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The experimental setup consists of an external cavity laser peaking at 1549.32 nm (λ1), followed by a polarization controller (PC) and an external Mach-Zehnder modulator (MZM). The non-return-to-zero (NRZ) data signal generated by a serial bit error rate tester (ref. Agilent N4901B) is then optically amplified by an erbium-doped fiber amplifier (ref. IPG-EAD-500-C3-W) and divided into two identical signals using a 50:50 coupler (COUPLER1) with symmetrical outputs. Both optical signals coming from COUPLER1 are synchronized using optical delay lines. Polarization controllers are inserted on the light path to ports #D and #A of the MZI-SOA (ref. CIP 40G-2R2-ORP), to optimize the destructive interference at port #I. The probe signal, a CW light beam with 0 dBm and lasing at 1546.12 nm (λ2), is launched into port #B of the MZI-SOA in a co-propagating direction with the data control signals. Different data patterns may be obtained by delaying signals at port #A and port #D. Finally, the probe signal is recovered at port #J, using a filter with a 40 GHz bandwidth (X-tract Net Test). The setup uses two instruments to analyse and measure the optical output signal: an optical complex spectrum analyser (OCSA) (APEX AP 2441A) to gather power and phase information of the output signal for time domain characterization and a sampling oscilloscope (Agilent 86100A) connected through a photodiode (HP-11982A).
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Figure 13.
All-optical XOR gate setup, based on a MZI-SOA, in a co-propagation scheme.
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Figure 14.
Wavelength and format conversion setup in counter propagation scheme.
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The setup for the counter-propagation scheme uses the same probe signal, but now the signal is injected into port #I. As shown in Figure 14, the output signal is recovered at the constructive interference output (port #B). An isolator is placed at ports #I, #D and #A to protect all laser sources from back propagation signals.
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2.2.2. Experimental results and discussion
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Figure 15 shows the data input signals (λ1) injected into the arms #A and #D of the MZI-SOA, each with 2 dBm mean power, and the corresponding XOR gate output (λ2), at 10 Gbps at port #J, in a co-propagating scheme. In this experimental scenario, the results are in conformity with the truth table of an XOR gate: the output presents a logical zero (0) if both the operands have identical value and a logical one (1) otherwise.
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Figure 15.
Optical sequences at MZI-SOA input ports #D and #A (first two signals from top) and resulting XOR output at port #J (bottom sequence). Horizontal scale: 500 ps/div. Vertical scale is arbitrary.
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Figure 16.
Experimental measurements of the ER of the output signal, as a function of the input power for co-propagation (+ sign) and counter-propagation (× sign) schemes.
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Figure 16 shows the dependence of the ER at the output signal as a function of the power of the NRZ input signals, varying from 0 to 4 dBm. We set the CW probe signal power at 0 dBm. For both co- and counter-propagation proposals, we observe that changes on the input power do not affect the overall performance of the all-optical logical XOR gate, since the power variation of the two control signals involved in the assessment process is equivalent. But when compared with the co-propagation scheme, the counter-propagation scheme present better results, increasing the ER from 0.72 to 1.64 dB and improving the performance of the MZI-SOA as an optical gate. These results are in line with other experimental studies [15].
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\n
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2.3. Summary
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Having in mind next generation optical networks, which are meant to be as flexible and transparent as possible, this section has characterized the static properties and the operating conditions of the MZI-SOA working as an optical gate, which results will be useful for the following section, dealing with phase modulation and other advanced modulation format conversion techniques.
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\n
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3. All-optical format conversion techniques
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In the last two decades, the information volume flowing on communication networks increased exponentially, fostering the search for fast optical switching, gating and transmission techniques, along with equipment with integration facilities and low power consumption. Among those techniques, phase modulation of optical signals is an option that allows greater transmission distances in both analogue and digital transmission systems. Other method for more advanced modulation format conversion based on interferometric techniques will be also briefly described.
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3.1. Format conversion from amplitude to phase modulation
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Phase modulation generates signals with logical value 0 or 1, by varying the phase of light, while allowing it to be in the ON position. As opposed to intensity modulation, phase modulation has superior bandwidth efficiency and is not easily affected by signal distortions caused by relay nodes and transmission fibres. Several techniques have already been proposed to implement optical phase modulators, based on frequency shifters [16], lithium niobate (LiNbO3) waveguide [17], gain transparent SOA [18] or using highly nonlinear fiber (HNLF) as the optical medium to phase modulate a CW laser [19].
\n
Following the experimental findings with the XOR gate, this section characterizes the phase modulation properties of a MZI-SOA, using both interferometric arms, in co-propagation schemes. The setup is the same as the XOR gate of Figure 13, with MZI-SOA operational parameters (SOA bias current, input optical power) tuned to create a destructive output at port #I. When both control signals are synchronized, the optical CW coming out of the output of the two SOAs have opposite phases and interfere destructively when combined at COUPLER4. According to the XOR truth table in Figure 17, the resulting optical signal at port #I has no observable amplitude variation [20]. Though, the phase φ of the probe signal λ2 will vary in accordance to the input pattern, as depicted in Figure 17 [21].
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Figure 17.
Principle of operation diagram of the conversion technique.
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3.1.1. Experimental results and discussion
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To investigate the phase modulation performance of an MZI-SOA for different bit rates, the operational parameters and the input power were optimized according to the phase eye diagram opening, also called phase span in the subsequent paragraphs. BER measurements were not performed due to setup limitations imposed by the coherent receiver. The OCSA limits the size of the data sequence length to 4 bits at 2.5 Gbps or 16 bits at 10 Gbps [22], thus BER measurements are not feasible.
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In order to confirm the feasibility of the interferometer as a phase modulator, experiments were carried out at bitrates of 2.5 and 10 Gbps. Data signals are launched into ports #D and #A with 2.5 dBm mean power and an average ER of 11.3 dB. The bias currents of both SOAs (ISOA) were increased at the same time, from 150 to 300 mA at 2.5 Gbps and from 150 to 400 mA at 10 Gbps bit rate. For each bias value, the mean power of the control signal (PCW) was swept from −6 to 2 dBm. The voltage applied to the PS was set to maximize the destructive interference at output port #I.
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Figure 18 (left) presents a 4 bit pattern signal injected at ports #D and #A. Figure 18 (right) shows the output signal at port #I, when control signal mean power is −4 dBm and SOA bias current is 250 mA. The phase variation associated to different logic levels is well pronounced but reversed when compared with the control signal intensity. Phase span and the mean power on the output signal are also proportional to the power of the CW probe signal and the bias current of the SOASs, as long as the SOAs are not in the saturated regime [9].
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Figure 18.
Left—Input sequence “0100”; Right—Phase and power output, with SOA input current ISOA equal to 250 mA and input laser power PCW equal to −4 dBm.
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The proposed optical phase modulator was also characterized at 10 Gbps, and the tests were performed using data sequences 16 bits long [22]. Figure 19 (left) shows the bit pattern launched at the input ports (#D and #A) of the interferometer. With SOA biased at 150 mA and control signal power launched at 0 dBm, the resulting output signal is depicted in Figure 19 (right). Output power fluctuations are primarily due to noise. Similar to the previous experiments at 2.5 Gbps, phase shifts are inverted when compared with the logic levels of the data (control) signals. However, due to the carrier recovery time and the dynamics of the SOA, output phase levels are less pronounced at 10 Gbps when fast transitions occurs at the MZI-SOA input signals. Moreover, if the power of the probe signal is increased above 0 dBm, the SOAs saturates and the conversion process is less efficient, which reduces the output mean power and phase span [9].
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Figure 19.
Left—Input sequence “1110010010101100”; Right—Phase and power output, with SOA input current ISOA equal to 150 mA and input laser power PCW equal to 0 dBm.
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\n
3.1.2. Summary
\n
We have presented a method to perform optical phase modulation, from an all-optical XOR gate configuration. We measure the influence of input CW power and SOAs bias current on the signal phase at the MZI-SOA output port. We verify that an increase in the SOA bias current produces higher values of the mean power and the phase span of the output signal, but SOAs gain saturation has an inverse result on the same output signal. Overall, the experimental results show the viability of the MZI-SOA as device capable of all-optical modulation and format conversion.
\n
\n
\n
3.2. Other advanced format conversions techniques
\n
Higher order all-optical modulation formats can be generated using the phase modulator setup of Figures 15 and 16 as a building block. For example, all-optical OOK to quadrature phase shift keying (QPSK) converter can be constructed with nested amplitude to binary phase shift keying (BPSK) converter pairs [23]. When the overall phase difference between the two nested BPSK pairs is set to π/2 rad, a QPSK signal is generated. Kang et al. [24] demonstrate the viability of this conversion scheme to generate a QPSK signal with 173 Gbps.
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Furthermore, one may build a modulator for generating even higher order modulation formats, including quadrature amplitude modulation (QAM), following a similar method by which the amplitude to QPSK format converter is constructed [25]. Other methods of all-optical format conversion techniques using MZI-SOA are subject of further research in Ref. [26].
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\n
\n
4. Conclusions
\n
A MZI-SOA is a compact semiconductor device capable of performing many different all-optical modulations format conversion and generation functions. Its use has a building block for future all-optical networks can avoid the electronic bottleneck affecting opaque optical network nodes. It is estimated that 80% of the traffic flowing into a node is a pass-through traffic, with a destination located in another node of the network [27]. It is then particularly efficient to maintain that traffic flow in the optical domain, without optoelectronic conversion or packet processing. Transparent optical systems have the advantage of contributing to more energy-efficient networking without decreasing flexibility and agility. This clear and challenging objective is mandatory to cope with the traffic increase, while maintaining the cost and energy of the transported bit at an acceptable level.
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\n\n',keywords:"all-optical networks, signal processing, Mach-Zehnder interferometer",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/53050.pdf",chapterXML:"https://mts.intechopen.com/source/xml/53050.xml",downloadPdfUrl:"/chapter/pdf-download/53050",previewPdfUrl:"/chapter/pdf-preview/53050",totalDownloads:1544,totalViews:161,totalCrossrefCites:0,totalDimensionsCites:0,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:49,impactScoreQuartile:2,hasAltmetrics:0,dateSubmitted:"June 1st 2016",dateReviewed:"October 4th 2016",datePrePublished:null,datePublished:"February 15th 2017",dateFinished:"November 18th 2016",readingETA:"0",abstract:"Throughout the years, the expanded search and flow of information led to an expansion of traffic intensity in today’s optical communication systems. Coherent communications, using the amplitude and phase of the optical wave, resurface as one of the transmission methods to increase the effective bandwidth of optical channels. In this framework, this chapter presents a study on all-optical format conversion of modulated signals, using exclusively interferometric techniques through wavelength conversion, based on Mach-Zehnder interferometers with semiconductor optical amplifiers (MZI-SOA). This technique, when applied in interconnection nodes between optical networks with different bit rates and modulation formats, allows a better efficiency and scalability of the network. The chapter presents an experimental characterization of the static and dynamic properties of the MZI-SOA and explores all-optical techniques for the conversion from amplitude modulation to phase modulation. Finally, it briefly presents the potential of MZI-SOAs for the conversion of amplitude signals to more advanced modulation formats, such as quadrature phase shift keying (QPSK) and quadrature amplitude modulation (QAM) signals.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/53050",risUrl:"/chapter/ris/53050",book:{id:"5601",slug:"optical-interferometry"},signatures:"Rogerio Pais Dionisio",authors:[{id:"192887",title:"Dr.",name:"Rogerio",middleName:null,surname:"Dionisio",fullName:"Rogerio Dionisio",slug:"rogerio-dionisio",email:"rdionisio@ipcb.pt",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192887/images/4843_n.png",institution:{name:"Polytechnic Institute of Castelo Branco",institutionURL:null,country:{name:"Portugal"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. MZI-SOA features",level:"1"},{id:"sec_2_2",title:"2.1. Static properties",level:"2"},{id:"sec_2_3",title:"Table 1.",level:"3"},{id:"sec_3_3",title:"2.1.2. SOA",level:"3"},{id:"sec_4_3",title:"2.1.3. Extinction ratio characterization",level:"3"},{id:"sec_6_2",title:"2.2. Dynamic characterization",level:"2"},{id:"sec_6_3",title:"2.2.1. Experimental setup",level:"3"},{id:"sec_7_3",title:"2.2.2. Experimental results and discussion",level:"3"},{id:"sec_9_2",title:"2.3. Summary",level:"2"},{id:"sec_11",title:"3. All-optical format conversion techniques",level:"1"},{id:"sec_11_2",title:"3.1. Format conversion from amplitude to phase modulation",level:"2"},{id:"sec_11_3",title:"3.1.1. Experimental results and discussion",level:"3"},{id:"sec_12_3",title:"3.1.2. Summary",level:"3"},{id:"sec_14_2",title:"3.2. Other advanced format conversions techniques",level:"2"},{id:"sec_16",title:"4. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'CISCO. The ZettabyteEra [Internet]. May 2012. Available from: http://www.cisco.com'},{id:"B2",body:'G. 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Simulation and analysis of gain-transparent SOA used as optical phase-modulator in DPSK applications. SPIE. 2007;6782:67.'},{id:"B19",body:'V. Marembert, C. Schubert, C. Weinert, H. G. Weber, K. Schulze, F. Futami and S. Watanabe. Investigations of fiber Kerr switch: nonlinear phase shift measurements and optical time division demultiplexing of 320 Gbit/s DPSK signals. In: Conference on Lasers and Electro-Optics CLEO 2005; 24–26 May 2005; Baltimore, USA. 2005. pp. 1432–1434.'},{id:"B20",body:'R. Vilar, J. M. Martinez, F. Ramos and J. Marti. All-optical DGD monitor for packet-switched networks based on an integrated active Mach-Zehnder interferometer operating as logic XOR gate. Optics Communications. 2008;281(21):5330–5334.'},{id:"B21",body:'S. C. Cao and J. C. Cartledge. Measurement-based method for characterizing the intensity and phase modulation properties of SOA-MZI wavelength converters. IEEE Photonics Technology Letters. 2002;14(11):1578–1580.'},{id:"B22",body:'APEX, editor. APEX Optical Spectrum Analyzer AP2041B. November 2009.'},{id:"B23",body:'K. Mishina, S. M. Nissanka, A. Maruta, S. Mitani, K. Ishida, K. Shimizu, T. Hatta and K. I. Kitayama. All-optical modulation format conversion from NRZ-OOK to RZ-QPSK using parallel SOA-MZI OOK/BPSK converters. Optics Express. 2007;15(12):7774–7785.'},{id:"B24",body:'I. Kang, M. Rasras, L. Buhl, M. Dinu, S. Cabot, M. Cappuzzo, L. Gomez, Y. Chen, S. Patel, N. Dutta, A. Piccirilli, J. Jaques, and C. Generation of 173-Gbits/s single-polarization QPSK signals by all-optical format conversion using a photonic integrated. In: ECOC 09—European Conference on Optical; September; p. 1.'},{id:"B25",body:'R. Dionisio, R. Nogueira and A. Teixeira. Advanced optical modulation and format conversion. In: SPIE, editor. AOP 2013—Conference on Application of Optics and Photonics; 26 May 2014; Aveiro, Portugal. doi:10.1117/12'},{id:"B26",body:'R. Dionisio, R. Nogueira and A. Teixeira. 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1. Introduction
Semi-solid processing as the name suggests is the processing of non-dendritic material between its liquidus and solidus temperatures. In recent years, much work has been conducted in exploring this field with respect to understanding the mechanisms involved. The inherent properties of semi-solid materials at the semi-solid processing temperature such as lower heat content, relatively higher viscosity comparable to liquids and low flow stresses, enables the semi-solid process to show distinct advantages over fully liquid and/or fully solid-state processes. Some of the important benefits of this technique are low mold erosion, low energy consumption, improved die filling, less gas entrapment, lower solidification shrinkage, reduced macro-segregation and fine microstructure. Therefore, this process is rapidly gaining commercial importance [1, 2, 3]; A non-dendritic microstructure can be obtained by stirring, either mechanically or electro-magnetically; grain refining; low superheat melt processing; solid state mechanical treatment and reheating [4, 5, 6, 7]; The manufacturing industries widely focused on the semi solid routes to produce components with superior mechanical and metallurgical properties. Slope casting process is one of the simplest techniques to produce semi solid slurry [8]. Slope cating process is pouring of molten metal through a slope channel into a mold. This slope channel help as a site for nucleation and fragmentation of dendrites due to shearing force between different layers of flowing stream [9]. Slope casting process depends on different process parameters like slope length, slope angle, pouring temperature etc. [10, 11, 12, 13, 14]. In recent years Aluminum alloys are using mostly in the automotive industries. Among the Aluminum alloys, the Al-Si alloys have good casting characteristics like high fluidity and good cast-ability which makes them advantageous for both small and complicated castings. Every year lakhs of Aluminum alloy components are produced through semi solid processing route. The present study mainly focuses on review of various explorations made by researchers with different process parameters of the Slope casting process and explain the mechanisms that lead to microstructural changes which leads to good mechanical properties.
2. Semi-solid casting
The processing of alloy between liquidus and solidus (mushy zone) range is known as the semi solid process, it was first discovered in 1970s, by spancer at Massachusetts Institute of Technology (MIT); found that at semi solid range of alloy behaves thixotropically (Decreases in viscosity if it is sheared but it will thicken again if it is allowed to stand)and by applying continuous stirring on the semi solid state produced no dendritic and spheroidal microstructure [15, 16, 17, 18, 19]. The semi solid casting route gives enormous advantages like dendritic free structure leads to globular structure as seen in Figure 1, less defects such as porosity, shrinkage, gas entrapment and macro-segregation. Better advantages than conventional casting that superior quality, low forming temperature, superior mechanical properties with microstructural refinement. The semi-solid process results in a non-dendritic microstructure due to forming at a temperature between solidus and liquidus temperature as shown in phase diagram, Figure 2. In semi solid process, temperature has a pivotal role on the resultant microstructure like orientation of grain, morphology of grain during solidification of alloys [22, 23, 24]. Semi-solid processing is used for all the shape forming processes which take advantage of the semi-solid range of the alloys for processing. Rheology and Thixotropy, two basic phenomena play a major role, In semi-solid processing. The apparent viscosity of a material in the liquid state varies with change in shear rate In Rheology. This gives the liquid like slurry to be processed even at sufficiently high solid fraction [25]. Thixotropy, is the ability of a material to Decreases in viscosity if it is sheared but it will thicken again if it is allowed to stand [26]; A material with a non-dendritic structure is the best suitable material for semi-solid processing. it is believed that, in the semi-solid state, the non-dendritic equiaxed grains easily slide/glide on each other on the application of a shear force [27].
Figure 1.
Using semi solid process technique dendritic structure changes to globular [20].
Figure 2.
Phase diagram of Al-Si alloy [21].
Thixotropy behavior can be define as when the material state is partially solid with 40–50% solid fraction and is sheared applied by external force, then its viscosity will decrease due to the break/detachment of the coalescence material, and it will flow like a liquid, for a certain time if it is allowed to stand, equiaxed coalescence will increase the viscosity of the material, by that it being able to support its own weight in the same way as if it was solid [28].
2.1 The mechanism of non-dendritic structure
To describe mechanism for non-dendritic structure in semi solid process many theories have been proposed. These mechanisms include dendrite arm fragmentation, dendrite arm root re-melting, and growth control mechanism. Hv Atikson et al. [20], Vogel et al. [29]; proposed that under shearing forces dendrite arms bends due to its plasticity, which introduce large misorientations inside the dendrite arms and dislocations introduced; rearrangements of dislocations occur to form grain boundaries at the melting temperature. The energy of the grain boundaries becomes more than twice the liquid/solid interfacial energy when the misorientations between grain boundaries are more than 20°, then separation of the dendritic arms observes due to wetting of the grain boundaries by liquid metal. Schematically illustrated in Figure 3.
Figure 3.
Schematic illustration of the steps of the mechanism of dendrite fragmentation: (a) undeformed dendrite; (b) after bending; (c) formation of high-angle boundary; and (d) fragmentation through wetting of grain boundary by liquid metal [22].
Hellawell et al. [30]; proposed grain multiplication theory, Thermal convention and shearing force have a direct effect at the roots of secondary dendrite arms, melting off rather than breaking off secondary arms observed, and grain multiplication, schematically illustrated in Figure 4. Evolution of structure during solidification with shear force depends on the cooling rate and shear rate, with increase in shear and cooling rate gives non dendritic/globular structure that that the particle shape and size vary irreversibly with shear and colling rate. Illustrate in in Figure 5.
Figure 4.
Schematic diagram of dendrite multiplication theory [22].
Figure 5.
Evolution of structure during solidification with shear force: (a) initial dendritic fragment; (b) dendritic growth; (c) rosette; (d) ripened rosette; and (e) spheroid [20].
2.2 Classification of semi solid process
The semi solid casting process mainly classified into the thixo casting and rheo casting and these processes are farther divided into many process techniques show in below (Figure 6).
Figure 6.
Classification of semi solid processes [31].
2.2.1 Thixo casting
Thixo casting mainly consists of three separate stages the production of a pre-cast billet having the special equiaxed microstructure, the re heating of these billets to the semi-solid temperature and the casting of the components 3. Illustrated in Figure 7.
feedstock preparation;
Reheating of the billet; and
The casting process.
Figure 7.
Thixo casting and thixo forging [2].
2.2.2 Rheo-casting
Rheo-casting is single step process to produce semi solid alloy start with liquid alloy, introduced directly into a mold without any intermediate solidification step. The semisolid slurry produced by means of different process like slope casting, new rheo casting etc. and directly introduced into a die. While thixo-forming is a route consists of reheating and forming process (Figure 8).
Figure 8.
Rheo casting process [2].
3. Slope casting process
Slope casting process is a rheo casting process used for the produce semi solid slurry, it consists with simple equipment and operation technique, the process carried out by pouring molten metal through channel with certain angle into a die where subsequent solidification takes place [32]. The solidification of molten alloy along a slope channel involves heat transfer, fluid flow, adhesion behavior. When the molten metal flowing through the slope channel with an angle and length [33, 34, 35, 36, 37], heat transfer takes between the slope channel wall and melt in contact, where generation of nuclei takes places, due to the effect of gravitation force and flow of stream the nuclei produced on slope wall are detached from the slope plate and subsequently flow through the melt stream, solid fraction of metal(semi solid slurry) observed at end of slope channel [38, 39, 40, 41, 42]. shear stress acting on the slurry layers and melt flow inertia restricted dendritic growth usually observed in conventional casting alloys. Illustrated in Figure 9. Slope casting process is a simple technique, but it can be prone to gas pick up and oxide formation which will impact negatively on mechanical properties [44, 45].
Figure 9.
Line illustration of slope casting process [43].
3.1 Mechanisms involved in slope casting process
Two mechanisms have been suggested to explain the formation of non-dendritic microstructure during flow along slope casting process. According to Haga and Kapranos et al. [46, 47], dendritic fragmentation mechanism plays an important role in slope casting process during microstructural evolution. The fragmentation of weak dendritic arms observed when the partially solidified melt collides under gravitational forces on the inclined/slope channel. Motegi et al. [48] proposed, crystal separation theory, where granular crystals nucleate and grow on the slope wall and are washed away from the wall by fluid motion illustrated in Figure 10.
Figure 10.
Crystal separation theory (a). The generation of nuclei at slope plate wall (b). Segregation of granular crystal (c) flow through the melt [30].
The shear force is main factor for dendritic arm fragmentation but its effect is related to the velocity boundary layer [21] as shown in Figure 11.
Figure 11.
Schematic diagram of the shear stress variation and velocity distribution inside the boundary layer during the flow of melt in cooling slope casting process [38].
3.2 Parameters effect the slope casting process
The process parameters in the slope casting of semisolid slurry preparation are [21, 31, 43, 44, 45, 46, 47, 48, 49]:
Pouring temperature,
Slope angle,
Slope length,
Slope plate temperature,
Vibration of slope,
Mold vibration etc.
3.2.1 Effect of pouring temperature
It is the most influencing parameter in slope casting process, T hogo et al. [36] investigated the effect of melt temperature and mold material found that pouring temperature have the great effect on the microstructure and it accounts nearly 35% of the total effect. Y Birol et al. [37] investigated the effect of pouring temperature and slope length, reported that the melt superheat required longer cooling lengths for higher pouring temperatures. Pouring with lower temperature causes formation of solid shell (formation of a thin layer of metal due to the primary nuclei that stick to the slope channel that reduces the effectiveness of the slope channel in generating nuclei) and pouring with the super-heated temperature may not get sufficient time to cool to range to produce solid nuclei on the slope plate, the main reason is that each parameter corelate each. Similar observation reported by Wen Liu et al. [39], if pouring temperature is too high a small number of primary α-aluminum phase will precipitate and some coarse primary α-aluminum phase. If the pouring temperature is too low the melt will cool rapidly and solidify. P. das et al., the temperature of the cooling plate has no prominent effect on microstructure, nevertheless a slurry with approximately 10% fraction solid can easily be obtained at the end of the plate.
3.2.2 Effect of slope length
Most of studies, slope length ranges from 200 to 800 mm, H. bidhiman et al. [41]. reported that increase in slope length that means melt flow time through channel increases it may cause the temperature drop and formation of the oxidation and solid shell as we above discussed it causes decrease in rate of heat transfer which leads to the decrease of the nucleation rate of primary solid phase, too short length does not give the proper nuclei formation and the time for the dendritic fragmentation. Slope length and slope angle are interrelated. If slope angle high need slope length should be more otherwise melt does not get sufficient time for shearing. The slope length effect on final microstructure accounts nearly 30% from studies. P. das et al. [40].
3.2.3 Effect of the slope angle
Most studies the angle ranges from 15 to 60°, the small angle is unable to give the melt to flow and shear effect on the slope plate will be less and the higher angle may cause the high velocity which does not give time to melt formation semi solid slurry and dendritic fragmentation. Farshid Taghavi and Ghassemi [42] reported the angle of slope channel had remarkable effects on the size and morphology of α-Al phase. By increasing the angle of the slope channel, the effect of shear stress and the rate of heat transfer increase. As a result, more solid particles are detached from the layer of slope channel. On the other part, duration time of shear stress and heat transfer between the melt and surface of inclined plate decrease by increase in the angle. As we above discussed in 3.2.2. the slope length and slope angle corelated to each other.
3.2.4 Effect of the slope vibration
Very few studies on effect of vibration slope on microstructural changes. Slope vibration frequency ranges from 10 to 60 Hz. Studies by Shaya Safari et al. [44], Wen Liu et al. [39] conclude that There was no solid shell formation on the surface of slope channel by using slope vibration. The combine effect of vibration and slope channel causes increase in the amount of nucleation and nuclei due to uniform cooling rate. The mechanism in vibration slope channel is proposed that vibrating force and gravity result in Bending stress introduced in between the growing dendritic and liquid. Because of the viscous resistance of liquid, with respect to the dendritic particles and liquid phase there is a difference of the transport velocity, which causes crash among the grains and the scrub of the liquid on dendritic particles. The weak dendrite arms breakoff and form fine grains. Vibration helps the heat transfer mechanism in possible direction. The stirring caused by vibration gives rise to local temperature fluctuation of liquid phase around the primary α-al phase and Re melting of dendritic arms at the necks occurs. Which favorable to form short and homogenous small primary dendrites, equiaxed and rosette non dendritic grains.
3.2.5 Heat treatment by reheating
Researchers extended work on Slope casting process by subsequent heat treatment of casts after slope casting for better mechanical properties through spheroidization of grains and removal of defects like internal stress and porosity. Yucel Birol et al. [37] worked on the cooling slope casting and thixo forming of hypereutectic A390 alloy. Reported that The thixoformed part after slope casting process was metallurgically sound, free from porosity and revealed a uniform dispersion of fine Si particles in a homogeneous matrix. Increase mechanical properties observed. Nursen Saklakoglu et al. [33]: investigated on the microstructural evolution of ETIAL 160 aluminum feed stock produced by the cooling slope casting process experiments done with pouring temperatures of 605 and 615°C respectively subsequent isotheral heating at 565°C at 5 and 10 mins respectively, slope casting process results the primary α-aluminum dendrites has changed into α-aluminum rosette. Subsequent heat treatment helps to modify the rosette to globular structure. P das et al. [40]; too long a heating time will cause structural coarsening, while too short a heating time will lead to incomplete spheroidization of solid particles. Thus, there is a need to get optimum reheating parameters of the semi-solid alloys processed via slope casting.
3.3 Composites by slope casting
Composite materials produced using slope casting technique were reported by researchers. P. Das, [40] has studied about the semi solid microstructure of Mg2 Si/Al composite by cooling slope casting process, reported that, the morphology of primary Mg2Si obtained non-dendritic and size of α Al was changed to 10 from 200 μm, Toshio Haga et al. [36]. Reported that slope casting has a significant influence on the shape and grain morphology of the Metal matrix composites (MMCs). The properties of the MMCs produced by slope casting were found to be higher than those of the MMCs produced by using conventional stirring.
Distinguished the literature into table according to the optimum process parameters used in Slope Casting Process of Semi-Solid Alloys and Composites shown inTable 1 and post parameters in Table 2.
Author & year
Alloy
Process parameters
Length of slope in (mm)
Slope angle in (degrees)
Pouring temperature in (centi grade)
Slope material, coating material and cooling medium
Stir casting and cooling slope casting (SC/CSC) exhibited higher Porosity and water-cooling using SC/CSC technique effect the average size of the α-Al grains.
The hardness and wear resistance of the MMC s produced by cooling slope casting were found to be higher those of MMCs produced by using conventional stirring.
925 K pouring temperature, 60 slope angle, 500 mm cooling length and wall temperature of 333 K has been identified as the ideal processing condition, which is in good correlation with the numerical findings
Cooling slope does not given substantial changes in friction characteristics compared to gravity casting, isothermal treatment reduced after cooling slope casting decreased the friction.
Optimum globular microstructure with uniform distribution of A356 alloy is obtained with slope angle 45, plate length 500 mm and pouring temperature 650
The cooling distance affects the cooling of the melt and adhesion of solidified metal. The melt temperature becomes lower as distance becomes longer. The adhesion of the solidified metal occurs when the cooling distance becomes longer than the suitable distance.
with increase in the isothermal holding time from 30 to 600 min the mean size of alpha-aluminum grains increases and its morphology becomes more globular
Most of the nucleation has occurred in the upper part of the slope, the area of the impact zone plays an important role in determine the resulting microstructure and that this dominate over the cooling length
The dissipation of the melt superheat required longer cooling lengths for higher pouring temperatures.
Table 2.
Post process parameters.
4. Conclusions
A considerable review of the literature on slope casting of semisolid Aluminum alloys suggest the following:
The slope casting process is a simple and cost-effective way of producing feed stock material (non-dendritic or globular) microstructure.
slope casting process mainly depends on the process parameters like slope length, slope angle which mainly controls the shear force on metal flow subsequently the better morphology structure obtained.
Reheating and isothermal holding temperature after slope casting observed better mechanical properties from different studies.
Using slope casting process feed stock material produced with globular microstructure is not only in cast aluminum alloys but also in aluminum metal matrix composites.
slope casting is best and simple process to produce the semi solid material and by using subsequent process after slope casting technique can play a prominent role in foundry industries.
Due to vibration on slope plate, multiple nucleations and dendritic fragmentation occur which leads to spheroidization.
\n',keywords:"semi-solid process, thixo casting, Rheo casting, slope casting, aluminum alloys, non dendritic structure, slope length, slope angle, slope plate temperature, slope vibration",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/82145.pdf",chapterXML:"https://mts.intechopen.com/source/xml/82145.xml",downloadPdfUrl:"/chapter/pdf-download/82145",previewPdfUrl:"/chapter/pdf-preview/82145",totalDownloads:2,totalViews:0,totalCrossrefCites:0,dateSubmitted:"January 5th 2022",dateReviewed:"January 18th 2022",datePrePublished:"June 30th 2022",datePublished:null,dateFinished:"June 8th 2022",readingETA:"0",abstract:"Semi solid processing is a near net shape casting process and one of the promising techniques to obtain dendritic free structure of metals. Semi solid casting gives numerous advantages than solid processing and liquid processing. Semi solid casting process gives, Laminar flow filling of die without turbulence, Lower metal temperature, Less shrinkage, Less porosity, Higher mechanical properties. Semi solid casting process is industrially successful, producing a variety of products with good quality. Slope Casting process is a simple technique to produce semi solid feed-stoke with globular microstructure and dendrite free structure castings. Slope casting process depends on different process parameters like slope length, slope angle, pouring temperature etc. The present study mainly focuses on review of various explorations made by researchers with different process parameters of the Slope casting process and explain the mechanisms that lead to microstructural changes which leads to good mechanical properties.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/82145",risUrl:"/chapter/ris/82145",signatures:"Mukkollu Sambasiva Rao and Amitesh Kumar",book:{id:"11119",type:"book",title:"Casting Processes",subtitle:null,fullTitle:"Casting Processes",slug:null,publishedDate:null,bookSignature:"Prof. Thoguluva Raghavan Vijayaram",coverURL:"https://cdn.intechopen.com/books/images_new/11119.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-496-9",printIsbn:"978-1-80355-495-2",pdfIsbn:"978-1-80355-497-6",isAvailableForWebshopOrdering:!0,editors:[{id:"139338",title:"Prof.",name:"Thoguluva",middleName:"Raghavan",surname:"Vijayaram",slug:"thoguluva-vijayaram",fullName:"Thoguluva Vijayaram"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Semi-solid casting",level:"1"},{id:"sec_2_2",title:"2.1 The mechanism of non-dendritic structure",level:"2"},{id:"sec_3_2",title:"2.2 Classification of semi solid process",level:"2"},{id:"sec_3_3",title:"2.2.1 Thixo casting",level:"3"},{id:"sec_4_3",title:"2.2.2 Rheo-casting",level:"3"},{id:"sec_7",title:"3. Slope casting process",level:"1"},{id:"sec_7_2",title:"3.1 Mechanisms involved in slope casting process",level:"2"},{id:"sec_8_2",title:"3.2 Parameters effect the slope casting process",level:"2"},{id:"sec_8_3",title:"3.2.1 Effect of pouring temperature",level:"3"},{id:"sec_9_3",title:"3.2.2 Effect of slope length",level:"3"},{id:"sec_10_3",title:"3.2.3 Effect of the slope angle",level:"3"},{id:"sec_11_3",title:"3.2.4 Effect of the slope vibration",level:"3"},{id:"sec_12_3",title:"3.2.5 Heat treatment by reheating",level:"3"},{id:"sec_14_2",title:"3.3 Composites by slope casting",level:"2"},{id:"sec_16",title:"4. 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Transactions of the Indian Institute of Metals. 2015;68:1075-1080'},{id:"B52",body:'Acharya M, Deepak Kumar S, Mandal A. Effect of cooling slope angle on microstructure of Al-7Si alloy. Transactions of the Indian Institute of Metals. 2015;68:1095-1099'},{id:"B53",body:'Abdelsalam A, Mahmoud T, El-Betar A, El-Assal A. A study of microstructures characteristics of A356-Al2O3 composites produced by cooling slope and conventional stir cast. International Journal of Current Engineering and Technology. 2015;15:3560-3571'},{id:"B54",body:'Saffari S, Akhlaghi F. New semisolid casting of an Al-25Wt. % Mg2Si composite using vibrating cooling slope. Diffusion and Defect Data Pt.B: Solid State Phenomena. 2015;217-218:389-396'},{id:"B55",body:'Deepak Kumar S, Mandal A, Chakraborty M. Effect of thixoforming on the microstructure and tensile properties of A356 alloy and A356-5TiB2 in-situ composite. 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Low-convection-cooling slope cast AlSi7Mg alloy: A rheological perspective. Journal of Materials Engineering and Performance. 2013;22:2487-2492'},{id:"B61",body:'Budiman H, Omar MZ, Jalar A, Junaidi S. Investigation on cooling slope and conventional stir cast A356/Al2O3 metal matrix composites. Advanced Materials Research. 2010;154-155:1284-1287'},{id:"B62",body:'Haga T, Nakamura R, Tago R, Watari H. Effects of casting factors of cooling slope on semisolid condition. Transactions of Nonferrous Metals Society of China. 2010;20'},{id:"B63",body:'Gencalp S, Saklakoglu N. Semisolid microstructure evolution during cooling slope casting under vibration of A380 aluminum alloy. Materials and Manufacturing Processes. 2010;25(9):943-947'},{id:"B64",body:'Wierzchowski W. Semi-solid processing method for cast iron. Archives of Foundry Engineering. 2010;10(3):149-154'},{id:"B65",body:'Legoretta EC, Atkinson HV, Jones H. Cooling slope casting to obtain thixotropic feedstock II: observations with A356 alloy. Journal of Materials Science. 2008;43:5456-5469'},{id:"B66",body:'Muumbo A, Takita M, Nomura H. Processing of semi solid gray cast iron using the cooling plate technique. Materials Transactions. 2003;44:893-900. DOI: 10.2320/matertrans.44.893'},{id:"B67",body:'Haga T. Semisolid strip casting using a twin roll caster equipped with a cooling slope. Journal of Materials Processing Technology. 2002;130-131:558-556'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Mukkollu Sambasiva Rao",address:"samba.siva129@gmail.com",affiliation:'
National Institute of Advanced Manufacturing Technology, Ranchi, India
National Institute of Advanced Manufacturing Technology, Ranchi, India
'}],corrections:null},book:{id:"11119",type:"book",title:"Casting Processes",subtitle:null,fullTitle:"Casting Processes",slug:null,publishedDate:null,bookSignature:"Prof. Thoguluva Raghavan Vijayaram",coverURL:"https://cdn.intechopen.com/books/images_new/11119.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-496-9",printIsbn:"978-1-80355-495-2",pdfIsbn:"978-1-80355-497-6",isAvailableForWebshopOrdering:!0,editors:[{id:"139338",title:"Prof.",name:"Thoguluva",middleName:"Raghavan",surname:"Vijayaram",slug:"thoguluva-vijayaram",fullName:"Thoguluva Vijayaram"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},profile:{item:{id:"289803",title:"Dr.",name:"José Alberto",middleName:null,surname:"Dias Leite",email:"josealberto_leite@hotmail.com",fullName:"José Alberto Dias Leite",slug:"jose-alberto-dias-leite",position:null,biography:"José Alberto Dias Leite graduated in Medicine from the Rio de Janeiro School of Medicine and Surgery. He has a master\\'s degree and doctorate in Medicine from the Federal University of Rio de Janeiro and a degree in Teaching from the State University of Rio de Janeiro. He is currently a full professor at the Department of Surgery at the Federal University of Ceará, Head of the Orthopedics and Traumatology Service at the Walter Cantídio University Hospital at the Federal University of Ceará, Vice-Coordinator of the Postgraduate Program in Medical and Surgical Sciences, School of Medicine, Federal University of Ceará, and Professor of Orthopedics at UNICHRISTUS. He has experience in medicine, focusing on orthopedic surgery, especially osteoarticular stress.",institutionString:"Programa de Pós Graduação em Cirurgia da Faculdade de Medicina da Universidade Federal do Ceara",profilePictureURL:"https://mts.intechopen.com/storage/users/289803/images/system/289803.jpeg",totalCites:0,totalChapterViews:"0",outsideEditionCount:0,totalAuthoredChapters:"0",totalEditedBooks:"0",personalWebsiteURL:null,twitterURL:null,linkedinURL:null,institution:{name:"State University of Ceará",institutionURL:null,country:{name:"Brazil"}}},booksEdited:[],chaptersAuthored:[],collaborators:[]},generic:{page:{slug:"OA-publishing-fees",title:"Open Access Publishing Fees",intro:"
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As a gold Open Access publisher, an Open Access Publishing Fee is payable on acceptance following peer review of the manuscript. In return, we provide high quality publishing services and exclusive benefits for all contributors. IntechOpen is the trusted publishing partner of over 140,000 international scientists and researchers.
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The Open Access Publishing Fee (OAPF) is payable only after your book chapter, monograph or journal article is accepted for publication.
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OAPF Publishing Options
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850 GBP Chapter - Book Series Topic (Annual Volume)
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4,000 GBP Compacts Monograph - Short Form
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850 GBP Journal Article (Across Portfolio)
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During the launching phase journals do not charge an APC, rather they will be funded by IntechOpen.
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*These prices do not include Value-Added Tax (VAT). Residents of European Union countries need to add VAT based on the specific rate in their country of residence. Institutions and companies registered as VAT taxable entities in their own EU member state will not pay VAT as long as provision of the VAT registration number is made during the application process. This is made possible by the EU reverse charge method.
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Services included are:
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An online manuscript tracking system to facilitate your work
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Personal contact and support throughout the publishing process from your dedicated Author Service Manager
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English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
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XML Typesetting and pagination - web (PDF, HTML) and print files preparation
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Discoverability - electronic citation and linking via DOI
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Permanent and unrestricted online access to your work
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What isn't covered by the Open Access Publishing Fee?
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If your manuscript:
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Exceeds the number of pages defined by the publishing guidelines, an additional fee per page may be required
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If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
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Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
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Open Access Funding
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To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at funders@intechopen.com for further details or assistance.
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For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
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Added Value of Publishing with IntechOpen
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Choosing to publish with IntechOpen ensures the following benefits:
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Indexing and listing across major repositories, see details ...
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Long-term archiving
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Visibility on the world's strongest OA platform
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Live Performance Metrics to track readership and the impact of your chapter
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Dissemination and Promotion
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Benefits of Publishing with IntechOpen
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Proven world leader in Open Access book publishing with over 10 years experience
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+5,700 OA books published
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Most competitive prices in the market
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Fully compliant with OA funding requirements
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Optimized processes that assure your research is made available to the scientific community without delay
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Personal support during every step of the publication process
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+184,650 citations in Web of Science databases
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Currently strongest OA platform with over 175 million downloads
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Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. 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