Taguchi optimization of bismuth-telluride based thermoelectric cooler

Abstract

In the last few decades, considerable effort has been made to enhance the figure-of-merit (ZT) of thermoelectric (TE) materials. However, the performance of commercial TE devices still remains low due to the fact that the module figure-of-merit not only depends on the material ZT, but also on the operating conditions and configuration of TE modules. This study takes into account comprehensive set of parameters to conduct the numerical performance analysis of the thermoelectric cooler (TEC) using a Taguchi optimization method. The Taguchi method is a statistical tool that predicts the optimal performance with a far less number of experimental runs than the conventional experimental techniques. Taguchi results are also compared with the optimized parameters obtained by a full factorial optimization method, which reveals that the Taguchi method provides optimum or near-optimum TEC configuration using only 25 experiments against 3125 experiments needed by the conventional optimization method. This study also shows that the environmental factors such as ambient temperature and cooling coefficient do not significantly affect the optimum geometry and optimum operating temperature of TECs. The optimum TEC configuration for simultaneous optimization of cooling capacity and coefficient of performance is also provided.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 12, 2017
Source ID
10.1063/1.4990992

Entities

People

  • Mohan Sanghadasa
  • Prashant Kumar
  • Ravi Anant Kishore
  • Shashank Priya

Organizations

  • Defense Advanced Research Projects Agency
  • United States Army
  • Virginia Tech

Tags

Fields of Study

  • Materials science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Inertial Navigation Systems.
  • Thermal Physics or Thermal Science.