Dynamic conditions of the burner.
\r\n\tA quark exhibits confinement, which means that the quarks are not observed independently but always in combination with other quarks. This makes determining the properties (mass, spin, and parity) impossible to measure directly; these traits must be inferred from the particles composed of them. There are six flavors of quarks: up, down, strange, charm, bottom, and top. The flavor of the quark determines its properties.
\r\n\tThere are three generations of quarks, based on pairs of weak positive/negative, weak isospin. The first generation quarks are up and down quarks, the second-generation quarks are strange and charm quarks, the third generation quarks are top and bottom quarks. The up and down quarks make up protons and neutrons, seen in the nucleus of ordinary matter. They are the lightest and most stable. The heavier quarks are produced in high-energy collisions and rapidly decay into up and down quarks.
\r\n\tThe baryons and mesons known at the time fell into symmetric families of multiplets (octuplets, decuplets) sharing two identical quantum numbers (spin and parity), but differing in an ordered way in others (mass, charge, baryon number and strangeness). The mathematical group to fit this complex situation-SU3, the symmetric, unitary group of dimension 3-was proposed independently by Gell-Mann and Ne'eman. The validity of SU3 was demonstrated by the experiment. A major prediction was that a particle (the omega-minus), an isotopic singlet with spin = 3/2, positive parity, mass of roughly 1,680 MeV, negative charge, baryon number +1, strangeness = -3, and stable to strong decay, should exist to complete the 3/2+ baryon decuplet. It was therefore a major triumph for the scheme when the omega-minus, a baryon with the precise mass, charge, and strangeness predicted, was discovered in 1964. All these facts introduced a quark idea fully into modern physics.
\r\n\r\n\tThis book will be a self-contained collection of scholarly papers targeting an audience of practicing researchers, academics, PhD students and other scientists. The contents of the book will be written by multiple authors and edited by experts in the field.
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Redondo and Manuel Ortega",authors:[null]},{id:"10055",title:"From the Discovery of Students Access Patterns in E-learning Including Web 2.0 Resources to the Prediction and Enhancement of Students Outcome",slug:"from-the-discovery-of-students-access-patterns-in-e-learning-including-web-2-0-resources-to-the-pred",signatures:"Raquel Hijon-Neira and Angel Velazquez-Iturbide",authors:[null]},{id:"10058",title:"Dependable E-learning Systems",slug:"dependable-e-learning-systems",signatures:"Ali Al-Dahoud, Marek Woda and Tomasz Walkowiak",authors:[null]},{id:"10051",title:"Ontology-driven Annotation and Access of Educational Video Data in E-learning",slug:"ontology-driven-annotation-and-access-of-educational-video-data-in-e-learning",signatures:"Aijuan Dong, Honglin Li and Baoying Wang",authors:[null]},{id:"10057",title:"When a Robot Turns into a Totem: the RoboBeggar Case",slug:"when-a-robot-turns-into-a-totem-the-robobeggar-case",signatures:"Gaetano La Russa, Erkki Sutinen and Johannes C. Cronje",authors:[null]},{id:"10056",title:"Virtual Patients as a Practical Realisation of the E-learning Idea in Medicine",slug:"virtual-patients-as-a-practical-realisation-of-the-e-learning-idea-in-medicine",signatures:"Andrzej A. Kononowicz and Inga Hege",authors:[null]},{id:"10053",title:"Data Warehouse Technology and Application in Data Centre Design for E-government",slug:"data-warehouse-technology-and-application-in-data-centre-design-for-e-government",signatures:"Xuanzi Hu",authors:[null]},{id:"10060",title:"The Emergence of the Intelligent Government in the Second Society",slug:"the-emergence-of-the-intelligent-government-in-the-second-society",signatures:"Dennis de Kool and Johan van Wamelen",authors:[null]},{id:"10071",title:"A Lightweight SOA-based Collaboration Framework for European Public Sector",slug:"a-lightweight-soa-based-collaboration-framework-for-european-public-sector",signatures:"Adomas Svirskas, Jelena Isacenkova and Refik Molva",authors:[null]},{id:"10054",title:"Spatial Aided Decision-making System for E-Government",slug:"spatial-aided-decision-making-system-for-e-government",signatures:"Liang Wang, Rong Zhao, Bin Li, Jiping Liu and Qingpu Zhang",authors:[null]},{id:"10072",title:"Evaluating Local E-Government: a Comparative Study of Greek Prefecture Websites",slug:"evaluating-local-e-government-a-comparative-study-of-greek-prefecture-websites",signatures:"Prodromos Yannas and Georgios Lappas",authors:[null]}]}]},onlineFirst:{chapter:{type:"chapter",id:"70901",title:"A New Combustion Method in a Burner with Three Separate Jets",doi:"10.5772/intechopen.90571",slug:"a-new-combustion-method-in-a-burner-with-three-separate-jets",body:'\nThis chapter concerns the numerical simulation and the PIV measurements on oxy-fuel burners with three separated jets. The mixing, dynamic and the temperature fields for both reacting and non-reacting flows are investigated.
\nIndustrial systems with combustion phenomena such as burners, aeronautical engines and gas turbines are subject to increasingly important constraints, both economically (cost reduction, improved performance, etc.) than on the environmental level (reduction of pollutant emissions), requiring the development of new techniques to respond effectively to these industrial constraints. The development passes by new method of combustion in order to reduce pollutant emissions and fuel consumption, as well as by the improvement of flame stability [1, 2]. In previous studies, significant reductions of nitric oxide emissions have been successfully achieved by using low NOx technologies or oxy-combustion systems [3].
\nIn air combustion, nitrogen leads to high fuel consumption and low combustion efficiency because nitrogen in the air acts as energy ballast. The substitution of air with pure oxygen leads to an increase in the laminar combustion rate up to 1300%, improves the thermal efficiency, increases the adiabatic flame temperature (2200 K for CH4-Air, 3090 K in oxy-combustion) reduce fuel consumption by 50% and, from an environmental point of view, reduce the formation of nitrogen oxides by up to 95% [4].
\nThe flames from multiple jets aligned have used in many industrial installation. Several studies have been published on the dynamic properties of non-reacting multiple jets [5, 6, 7, 8, 9]. Lee et al. [10] have studied the geometry parameters of diffusion flames and giving a number of variables such as the number of jets and the distance between the jets. Lenze et al. [11] have studied the influence of three and five non-premixed flames, with town gas and natural gas burners. Their measurements concern flame width, flame length and concentrations in confined and free multiple flames.
\nA new generation of highly separated fuel and oxidant injection burners is of great interest to industrialists. The idea of this burner consists of separating combustible and oxidant to dilute the reactants with combustion products before the mixing of the reactants [12, 13, 14].
\nFor this new combustion in a burner with three separated jets, the separation of jets provides a high dilution of reactants by combustion products in the combustion chamber. Consequently, this dilution decreases the flame temperature and decline in NOx production. In the literature, it has been proven that the separation of reactants are capable to change the flow structure, the flame characteristics, generates a better thermal efficiency and as well as reduction of pollutant emissions [15, 16, 17, 18].
\nSalentey et al. [16] was interested in the characterization the flames from multiple jets aligned through dynamic properties (speed of the jets and distance injectors) and the flame topology (stability, length, blow ...). Lesieur et al. [14] has studied numerically the characteristics of a burner with three jets, focusing on the mixing of the jets, their dynamics and the pollutant emissions. Boushaki et al. [12] was interested on two main areas for flow, passive control with changing the diameter of the burner in order to affecting the dynamics flow; and active control requiring external energy intake through actuators while retaining the geometry of the combustion chamber.
\nThe present chapter reports the results of a numerical and experimental investigation of the dynamic field on a burner with 25 kW power composed of three jets, one central jet of natural gas and two side jets of pure oxygen [19, 20]. One control systems, passive, is added to the basic burner to ameliore the combustion process to ensure the stabilization of flame and as well as pollutant reductions. The passive control is based on the inclined of side oxygen jets towards the central natural gas jet in burner with three separated jets.
\nFew works, are investigated the effect of equivalence ratios (in lean regime) on characteristics of non-premixed oxy-methane flames from burner with separated jets. However, the aim of this contribution is to investigate numerically the effect of different equivalence ratio on the combustion characteristics of a diffusion methane oxy-flame in a stabilized separated burner.
\nThe mixture of hydrogen and natural gas is a new mixed fuel. The use of a mixed mixture of fuel and hydrogen has the advantage of modifying very effectively the properties of the fuel while preserving the distribution facility. Due to this, the high molecular diffusivity of hydrogen, the extended flammability limits, the high laminar flame speed and the low ignition energy, the addition of hydrogen in the fuel makes it possible to work in a combustion poor. Increasing flammability limits in the presence of hydrogen offset the adverse effects of poor combustion such as local extinctions, radiation energy losses, and flame stretching [21].
\nThe configuration of the burner illustrated in Figure 1 consists in separating the fuel and oxygen per injection in order to increase the dilution of the reactants with the combustion products before the mixing of the reagents.
\nSchematic view of the burner.
This burner consists of three non-ventilated jets, one central with internal diameter dg equal 6 mm that contains the fuel and two side jets with internal diameter dox equal 6 mm contain pure oxygen. Boushaki et al. [22] have studied this three-jet burner configuration. The separation distance between the jets (S) used is 12 mm. The gas density equal to 0.83 kg m−3 and the oxygen is supplied by liquid air with a purity of 99.5% with a density of 1.354 kg m−3 (at 1 atm and at 15° C). The thermal power (P) of the burner is equal to 25 kW, therefore the flow rate and the output speed of the natural gas are respectively mng = 0.556 g s−1 and Ung = 27.1 ms −1.
\nThe first study in this document is the control technique, consists in inclining the side oxygen jets towards the natural gas jet as shown in Figure 1. The angle of oxygen jets (ϴ) compared to the vertical direction varies from 0 to 30° (0, 10, 20, and 30°), however, we will present the effect of angle of the side oxygen jets on the dynamic fluid, for many detail you can see [12].
\nThe combustion is carried out inside a square chamber of 60 × 60 cm2 section and a height of 1 m. The side walls are water cooled and refractory lined inside the combustion chamber. a converging 20 cm high and a final section of 12 × 12 cm is placed at the end of the chamber to limit the entry of air from above. In order to allow optical access to all flame zones, six windows are provided in each face of the chamber.
\nThe Particle Image Velocimetry (PIV) was used as a measurement technique to characterize the experimental dynamic field. The PIV technique requires a laser sheet that clarifies the flow area studied a CCD camera, control equipment and an acquisition PC. The laser used is the Nd-YAG Bi-pulse with frequency 10 Hz and wavelength of 532 nm. The laser chain used is composed by a first divergent cylindrical lens and then by a second convergent spherical lens. The Mie signal emitted by the particles is collected by CCD camera of type a Lavision FlowMaster (12-bit dynamic and resolution 1280 × 1024 pixels).
\nThe steady equations for conservation of mass, momentum, energy and species have been used in this numerical simulation. The second order equations for turbulence kinetic energy \n
Here \n
where \n
\n\n
The Finite Eddy Dissipation Model (EDM) is used to simulate the turbulence/chemistry interaction. This model is based on the hypothesis that the chemical reaction is fast in relation to the transport processes of the flow.
\n\nTable 1 summarizes the volumetric flow rates, the velocities, Reynolds number respectively of methane and oxygen of equivalence ratio (0.7, 0.8 and 1).
\nConfiguration | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
---|---|---|---|---|---|---|
Confi 1 | \n1 | \n0.767 | \n1.534 | \n27.13 | \n27.13 | \n12,272 | \n
Confi 2 | \n0.8 | \n0.767 | \n1.917 | \n27.13 | \n33.86 | \n12,272 | \n
Confi 3 | \n0.7 | \n0.767 | \n2.19 | \n27.13 | \n38.69 | \n12,272 | \n
Dynamic conditions of the burner.
Reynolds Number is defined by the following equation:
\nA global equivalence ratio can be defined as the molar ratio of methane and oxidant at the injection to molar ratio methane and oxidant in stoichiometric conditions, as:
\nwhere Q is the volumetric flow rate.
\nThe second numerical study in this document is the effect of hydrogen to dynamic of flame. One of the jet transports the fuel, natural gas + hydrogen, and the other the pure oxygen. The values of the flow rates of fuel and the exit velocities are regrouped in Table 2.
\nΦ =1 | \n|||||
---|---|---|---|---|---|
P=25 kW | \n|||||
\n | \n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
0% H2\n | \n0.49 | \n0 | \n2.07 | \n27.07 | \n27.06 | \n
20% H2\n | \n0.46 | \n0.012 | \n2.03 | \n31.3 | \n26.66 | \n
40% H2\n | \n0.40 | \n0.02 | \n1.98 | \n37.07 | \n25.9 | \n
Flow rates and exit velocities of fuels and oxygen.
We shall consider an overall irreversible reaction between methane/hydrogen and pure oxygen:
\n\n\n
\nTable 2 summarizes the parameters of this numerical study including methane, hydrogen and oxygen flow rates, velocities, percentage of hydrogen and equivalence ratio.
\nFluent 6.3.2 is used to solve the steady equations for conservation of mass, momentum, energy and species. The finite volume method is used with second order upwind. In fact, convergence criterion of residuals for energy equation and for all other equations equal respectively 10−6 and 10−3. The GAMBIT is used to construct the grid; the computational domain has been extended 100 cm in the axial direction and 30 cm in the radial direction. A total number of 28,700 quadrilateral cells were generated using non-uniform grid spacing to provide an adequate resolution near the jet axis and close to the burner where gradients were large.
\nThe axial velocity profile at the inlet, of the methane is supposed constant. At the axis of symmetry, \n
The mean velocity fields carried out by PIV in non-reacting flow are represented on Figure 2. From initial state where ϴ = 0° to inclined state where ϴ = 30°, the dynamic field changes with the change of flow structure. The jets fusion point becomes closer the burner by increasing of the slope of jets. The interaction of jets starts at about 15 mm for ϴ = 0°, at z = 25 mm for ϴ = 30°.
\nMean velocity fields for jet oxygen angle 0° and 30° (longitudinal velocity in color scale) in non-reacting flow.
\nFigure 3 shows the distribution of velocity and the current lines in the combustion chamber near the burner with different inclined jets of oxygen. In the part separating the different jets (dark blue), velocity is negative because of the recirculation of the jets. The existence of two zones of recirculation is observed with different directions of rotation, which explains the appearance of the negative velocity. It is noted on the one hand that the recirculation zone decreases with the increase of Ө from 0 to 20°. This is very remarkable near the jet of oxygen. On the other hand, it can be observed that the recirculation zones appear outside the jet of air (see the lines of currents). The perturbation of velocity distribution increases with the increase of Ө. This perturbation is accompanied by an acceleration of the combination of different jets and consequently a faster combustion reaction, which explains the increase in velocity with the increase of Ө.
\nVelocity distribution and current lines in the combustion chamber.
The distributions of the temperature in the combustion chamber with different inclined jets are represented in Figure 4. It is clear here that the flame exists in the mixing zone of methane and oxygen, which represents the reaction zone. This zone is modified with the variation of the angle Ө. If we assume that the length of the flame is defined by the red color of the flame distribution, we can conclude that the length of the flame decreases with the increase of the angle Ө from 0.44 m for an inclination of 0° to 0.29 m for an inclination of 20° of the jet of oxygen.
\nTemperature distribution in the combustion chamber.
\nFigure 5 represents the evolution of the axial temperature at y = 0 mm with different angles of injection Ө of the oxygen jets. Firstly, it is observed that the temperature increases by moving away from the burner to a maximum value and then begins to decrease. For example for Ө = 0° the temperature increases from 300 K near the burner up to 3500 K at a height of 380 mm. This zone of increase presents the mixing zone of the reactants methane/oxygen. The second zone is the reaction zone where the temperature reaches its maximum. The third zone is where the temperature gradually decreases and which presents the plume of the flame. The second interpretation is that the flame reaches its maximum faster while the angle of injection Ө increases. Indeed, the temperature reaches its maximum at a height of 390 mm for Ө = 0° by contrast, it reaches its maximum at 260 mm for Ө = 30°. This interpretation leads to conclude that the length of the flame decreases with the increase in the angle of the oxygen jets. This result is in good agreement with the result of Boushaki [22], which showed that the average flame length decreases when the angle of oxygen jets increases such that its value is about 500 mm for Ө = 0° and decreases until 220 mm for Ө = 30°.
\nAxial distribution profiles of temperature at y = 0 mm with variation of the angle Ө.
The radial profiles of the mean longitudinal velocity (U) at different section (x/D = 1.66, x/D = 8.33 and x/D = 16.66) and for three equivalence ratios are represented in Figure 6. A classical behavior of the multiple jets is found, one notices that the velocity profile presents maxima and minima corresponding to the three jets. In the initial zone (near the burner) each jet follows its own evolution, further downstream these velocity extremes begin to disappear to form a single maximum located in the middle of the inner mixing layer.
\nRadial profiles of longitudinal velocity at different positions from the burner.
Near the burner (x/D = 1.66) and for the three values of richness (Ф = 1, Ф = 0.8 and Ф = 0.7), we note that the velocity remains constant at the level of the central jet and it increases at the level of the lateral jet (jet of oxygen) with the decrease of the wealth. It should be noted that for Ф = 1 and Ф = 0.7 the mean longitudinal velocities are equal to 27 m/s and 38.57 m/s, mean velocity show an increase of 30%. In the case x/D = 16.66, the velocity profiles are slightly flattened, more open which improves the mixing of the reagents.
\nThe influence of the equivalence ratio on the longitudinal velocity U is significant less. From an aerodynamics point of view, the decrease of equivalence ratio modifies the longitudinal velocity of flow near to the burner but keep the flow velocity behavior in the combination zone.
\n\nFigure 7 shows, the radial profiles of the turbulence intensity, u′/U, on function to the equivalence ratio and on sections different, x/D = 1.66, 8.33 and 16.66. In the case x/D = 1.66 we see two peaks of fluctuations in u′ ‘of the order of 7 m/s, one at the center corresponding to the mixing layer of the central jet and one from the central jet corresponding to the mixture layer of side jet. These peaks of fluctuations fade along the flow with decreasing longitudinal velocity as the jets interpenetrate.
\nTurbulence intensity at different positions from the burner.
The distribution of the temperature in sections different inside the combustion chamber, is shown in Figure 8. In the near of the burner, the temperature present one peak with maximum value equal to 3000°C. For a richness equal to 1 (Ф = 1) the maximum temperature of the adiabatic flame is T = 3000 K and for a richness 0.7 the maximum temperature equals approximately T = 3300 K. Therefore, the peaks represent the zone of the reaction between the fuel and oxidant after mixing and the region between the peaks represents the area of the fuel which is not yet burned and the reaction takes place at the interface of jets between fuel and oxidant. At x/D = 8.33 and for three equivalence ratio the peak temperature is observed equal to 3200°C and the temperature profile keep constant. Far from the burner when the richness decreases, an increase in the temperature in the flame zone is observed from 3000 to 3500°C which makes it possible to improve the heat transfers and makes it possible to have a better thermal efficiency.
\nRadial profiles of temperature at different positions from the burner.
\nFigure 9 shows the longitudinal velocity field for different percentages of hydrogen. By comparing the four fields, the potential cone for three configurations with the addition of hydrogen percentages (\n
Longitudinal velocity field for 0% H2, 20% H2 and 40% H2.\n
\nFigure 10 illustrates the radial temperature profiles for multiple hydrogen percentages in the fuel mixture. This figure shows that the substitution of a fraction of methane with hydrogen promotes the increase of the flame temperature because the calorific value of this compound is much higher than that of methane. For example, the addition of 20% hydrogen increases the temperature 2500–3400 K (up to 900 K), and the addition of 60% hydrogen increases the temperature until 3700 K (1200 K more than in pure methane combustion).
\nRadial profiles of the temperature for 0% H2, 20% H2, 40% H2 and 60% H2.\n
In this chapter, a new combustion technique in a burner with three separated jets is used. The idea of this burner consists of separating combustible and oxidant to dilute the reactants with combustion products before the mixing of the reactants. This type of burner has a great interest for the industry and the sizing of these burners requires a good understanding of the mechanisms controlling the stabilization of the flame, the release of heat and the production of pollutants.
\nThe Particle Image Velocimetry PIV is the technique used in experimental study in non-reacting flow and reacting flow inside the combustion chamber. The Reynolds Average Navier-Stokes (RANS) method is used in this numerical simulation with Realizable k-ε as a turbulence closure model. The eddy dissipation model is applied to take into account the turbulence-reaction interactions.
\nThe passive control added to the basic of the burner is based on the inclined of side oxygen jets towards the central natural gas jet in burner with three separated jets. From ϴ = 0° to inclined state ϴ = 30°, the jets fusion point becomes closer the burner as well as the dynamic field changes. The result shows that the inclination of the jets affects significantly the flow field and consequently the flame behaviour.
\nThe effect of equivalence ratio and hydrogen on characteristics of a non-premixed oxy-methane flame from a burner with separated jets is studied in this document. The velocity fields with different equivalence ratio (0.7, 0.8 and 1) are presented. Near the burner a decrease in the equivalence ratio increases the injection velocity of the lateral jet and keeps a constant velocity in the central jet. For the turbulence intensity, near and far from the burner, an increase in the turbulence intensity is observed in the two layers of internal mixtures, this makes it possible to improve the mixing and increase the stability of the flame. Thus, there is an increase in the adiabatic temperature of the flame, which promotes heat transfer and improves thermal efficiency.
\nThe use of hydrogen solves instability problems of the flame that are related to lean combustion, due to the high diffusivity and reactivity of hydrogen in combustion. The results showed that the addition of hydrogen increased the flame velocity and the temperature while reducing CO2 and CO emissions due to the reduction of the carbon in the fuel.
\n\n Tube internal tube, mm mass flow rate, kg.s−1\n natural gas jet thermal power, W Reynolds number separation distance between the jets, mm nozzle exit velocity of gas, m.s−1\n nozzle exit velocity of oxygen, m.s−1\n longitudinal mean velocity, m.s−1\n longitudinal velocity fluctuation, m.s−1\n radial mean velocity, m.s−1\n radial velocity fluctuation, m.s−1\n radial and longitudinal coordinate, mm dynamic viscosity, kg.m.s−1\n gas density, kg.m−3\n percentage of hydrogen transport terms equivalence ratio transport coefficient
Authors are listed below with their open access chapters linked via author name:
",metaTitle:"IntechOpen authors on the Global Highly Cited Researchers 2018 list",metaDescription:null,metaKeywords:null,canonicalURL:null,contentRaw:'[{"type":"htmlEditorComponent","content":"New for 2018 (alphabetically by surname).
\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nJocelyn Chanussot (chapter to be published soon...)
\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nYuekun Lai
\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nPrevious years (alphabetically by surname)
\\n\\nAbdul Latif Ahmad 2016-18
\\n\\nKhalil Amine 2017, 2018
\\n\\nEwan Birney 2015-18
\\n\\nFrede Blaabjerg 2015-18
\\n\\nGang Chen 2016-18
\\n\\nJunhong Chen 2017, 2018
\\n\\nZhigang Chen 2016, 2018
\\n\\nMyung-Haing Cho 2016, 2018
\\n\\nMark Connors 2015-18
\\n\\nCyrus Cooper 2017, 2018
\\n\\nLiming Dai 2015-18
\\n\\nWeihua Deng 2017, 2018
\\n\\nVincenzo Fogliano 2017, 2018
\\n\\nRon de Graaf 2014-18
\\n\\nHarald Haas 2017, 2018
\\n\\nFrancisco Herrera 2017, 2018
\\n\\nJaakko Kangasjärvi 2015-18
\\n\\nHamid Reza Karimi 2016-18
\\n\\nJunji Kido 2014-18
\\n\\nJose Luiszamorano 2015-18
\\n\\nYiqi Luo 2016-18
\\n\\nJoachim Maier 2014-18
\\n\\nAndrea Natale 2017, 2018
\\n\\nAlberto Mantovani 2014-18
\\n\\nMarjan Mernik 2017, 2018
\\n\\nSandra Orchard 2014, 2016-18
\\n\\nMohamed Oukka 2016-18
\\n\\nBiswajeet Pradhan 2016-18
\\n\\nDirk Raes 2017, 2018
\\n\\nUlrike Ravens-Sieberer 2016-18
\\n\\nYexiang Tong 2017, 2018
\\n\\nJim Van Os 2015-18
\\n\\nLong Wang 2017, 2018
\\n\\nFei Wei 2016-18
\\n\\nIoannis Xenarios 2017, 2018
\\n\\nQi Xie 2016-18
\\n\\nXin-She Yang 2017, 2018
\\n\\nYulong Yin 2015, 2017, 2018
\\n"}]'},components:[{type:"htmlEditorComponent",content:'New for 2018 (alphabetically by surname).
\n\n\n\n\n\n\n\n\n\nJocelyn Chanussot (chapter to be published soon...)
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nYuekun Lai
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nPrevious years (alphabetically by surname)
\n\nAbdul Latif Ahmad 2016-18
\n\nKhalil Amine 2017, 2018
\n\nEwan Birney 2015-18
\n\nFrede Blaabjerg 2015-18
\n\nGang Chen 2016-18
\n\nJunhong Chen 2017, 2018
\n\nZhigang Chen 2016, 2018
\n\nMyung-Haing Cho 2016, 2018
\n\nMark Connors 2015-18
\n\nCyrus Cooper 2017, 2018
\n\nLiming Dai 2015-18
\n\nWeihua Deng 2017, 2018
\n\nVincenzo Fogliano 2017, 2018
\n\nRon de Graaf 2014-18
\n\nHarald Haas 2017, 2018
\n\nFrancisco Herrera 2017, 2018
\n\nJaakko Kangasjärvi 2015-18
\n\nHamid Reza Karimi 2016-18
\n\nJunji Kido 2014-18
\n\nJose Luiszamorano 2015-18
\n\nYiqi Luo 2016-18
\n\nJoachim Maier 2014-18
\n\nAndrea Natale 2017, 2018
\n\nAlberto Mantovani 2014-18
\n\nMarjan Mernik 2017, 2018
\n\nSandra Orchard 2014, 2016-18
\n\nMohamed Oukka 2016-18
\n\nBiswajeet Pradhan 2016-18
\n\nDirk Raes 2017, 2018
\n\nUlrike Ravens-Sieberer 2016-18
\n\nYexiang Tong 2017, 2018
\n\nJim Van Os 2015-18
\n\nLong Wang 2017, 2018
\n\nFei Wei 2016-18
\n\nIoannis Xenarios 2017, 2018
\n\nQi Xie 2016-18
\n\nXin-She Yang 2017, 2018
\n\nYulong Yin 2015, 2017, 2018
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Omar obtained\nhis Bachelor degree in electrical and\nelectronics engineering from Universiti\nSains Malaysia in 2002, Master of Science in electronics\nengineering from Open University\nMalaysia in 2008 and PhD in optical physics from Universiti\nSains Malaysia in 2012. His research mainly\nfocuses on the development of optical\nand electronics systems for spectroscopy\napplication in environmental monitoring,\nagriculture and dermatology. He has\nmore than 10 years of teaching\nexperience in subjects related to\nelectronics, mathematics and applied optics for\nuniversity students and industrial engineers.",institutionString:null,institution:{name:"Universiti Sains Malaysia",country:{name:"Malaysia"}}},{id:"191072",title:"Prof.",name:"A. K. M. Aminul",middleName:null,surname:"Islam",slug:"a.-k.-m.-aminul-islam",fullName:"A. K. M. Aminul Islam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/191072/images/system/191072.jpg",biography:"Prof. Dr. A. K. M. 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