2018
DOI: 10.1007/s11664-018-6369-4
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Design Optimization of a Thermoelectric Cooling Module Using Finite Element Simulations

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Cited by 9 publications
(2 citation statements)
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“…The relationship between the actual cooling performance of TEC and the input current is basically the same as the relationship between the cooling capacity and input current reported in the literature. [ 36,37 ] Based on the results, we can say that the relationship between T and I actually means that the cooling capacity of the TEC device first increases and then decreases with the increase in I . The trend of quadratic function presented by the simulation results fits quite well with that of Equation (), T ( x ).…”
Section: Resultsmentioning
confidence: 94%
“…The relationship between the actual cooling performance of TEC and the input current is basically the same as the relationship between the cooling capacity and input current reported in the literature. [ 36,37 ] Based on the results, we can say that the relationship between T and I actually means that the cooling capacity of the TEC device first increases and then decreases with the increase in I . The trend of quadratic function presented by the simulation results fits quite well with that of Equation (), T ( x ).…”
Section: Resultsmentioning
confidence: 94%
“…Huang et al [13] selected the number of thermoelectric legs, leg height and fill ratio of the thermoelectric pairs as optimization variables and used a simplified conjugated-gradient algorithm to obtain the maximum cooling capacity of the TEC. Abid et al [14] altered the height and cross-sectional area of the legs to optimize cooling performance of TECs by simulation and experimental verification. Gong et al [15] found a smaller leg height and larger cross-sectional area of the leg are conducive to enhancing cooling performance and reliability of rectangular TECs.…”
Section: Introductionmentioning
confidence: 99%