Optimal design of plate-fin heat exchangers by particle swarm optimization

M. Yousefi; A. N. Darus

doi:10.1117/12.920912

12 January 2012 Optimal design of plate-fin heat exchangers by particle swarm optimization

M. Yousefi, A. N. Darus

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83500R (2012) https://doi.org/10.1117/12.920912
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

This study explores the application of Particle Swarm Optimization (PSO) for optimization of a cross-flow plate fin heat exchanger. Minimization total annual cost is the target of optimization. Seven design parameters, namely, heat exchanger length at hot and cold sides, fin height, fin frequency, fin thickness, fin-strip length and number of hot side layers are selected as optimization variables. A case study from the literature proves the effectiveness of the proposed algorithm in case of achieving more accurate results.

Citation Download Citation

M. Yousefi and A. N. Darus "Optimal design of plate-fin heat exchangers by particle swarm optimization", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83500R (12 January 2012); https://doi.org/10.1117/12.920912

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