Multi-objective optimization of thermo-acoustic devices using teaching-learning-based optimization algorithm (original) (raw)

2017, Science and Technology for the Built Environment

This paper presents three case studies based on a multi-objective optimization approach to optimize the performance of thermo-acoustic devices by obtaining the best possible set of geometrical characteristic parameters. In case study 1, the performance of a thermo-acoustic refrigerator is measured in terms of three objectives namely, acoustic cooling load (, coefficient of performance (COP) and acoustic power loss (). Each objective is assigned a weight to facilitate suitable user-defined significance. The case study 2 aims to optimize a thermoacoustic prime-mover. The influence of stack position and its length, resonator length, plate thickness and plate spacing are considered as design variables. Two objectives namely, pressure amplitude (P) and frequency (f) are considered as objectives for multiobjective optimization of the thermo-acoustic prime-mover. In case study 3, the performance of a thermoacoustic engine is measured in terms of five objectives namely, work output (W), viscous loss (R v), conductive heat loss (Q cond), convective heat loss (Q conv) and radiative heat loss (Q rad).

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