Thermoelectric generators (TEGs) are widely used nowadays in heat recovery and power generation applications. TEGs are connected in series and/or parallel configurations in an array to meet the voltage and/or current ...
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Thermoelectric generators (TEGs) are widely used nowadays in heat recovery and power generation applications. TEGs are connected in series and/or parallel configurations in an array to meet the voltage and/or current requirements of electric load. Therefore, it is necessary to examine the electrical performance of different TEG array configurations employed in TEG systems. In the present study, an experimentally validated hydrothermoelectric multiphysics computational model is employed by integrating the computational fluid dynamics (CFD) approach with the TEG model to test the electrical performance of various TEG array configurations and determined load voltage, current, associated power, and conversion efficiency. Each TEGs array configuration's performance is evaluated by varying the hot water temperature from 27 degrees C to 42 degrees C as well as hot and cold water flowrate from 0.5 L/min to 2 L/min. Various configurations including series and a combination of series and parallel connections were designed. The findings show that the series configuration of the TEGs array generates higher electric power than series and parallel combined configurations whereas the latter achieves the maximum power point at a higher electric current than the series configuration. The comparative analysis of CFD model with the experimental results indicates a maximum discrepancy of 7 %. For thermoelectric powergenerating systems, the proposed model might serve as a benchmark for optimizing TEGs array configurations according to the electric load requirements.
An integrated experimental and computational approach was adopted to study the influence of moving laser beam (with lateral and transverse overlap) on the generation of corresponding surface finish//profile/roughness ...
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An integrated experimental and computational approach was adopted to study the influence of moving laser beam (with lateral and transverse overlap) on the generation of corresponding surface finish//profile/roughness during three-dimensional laser machining of structural alumina. A multiphysics-multistep computationalmodel was developed to understand the influence of various physical phenomena such as recoil pressure, Marangoni convection, surface tension, and cooling rates over the surface morphology of alumina and eventually establish the relationship between the surface finish and process parameters of laser machining. Both experimental and computational results evidently revealed that the selection of appropriate laser machining conditions can machine the structural ceramics with higher material removal rates (60 +/- 2.70 mm(3)/min) for initial rough cuts as well as produced higher surface finish (39.9 +/- 2.29 mu m) for final finishing. The results of the computationalmodel are also validated by experimental observations with reasonably close agreement (+/- 6%). (C) 2015 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
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