Proceedings Paper
Optimal design of plate-fin heat exchangers by particle swarm optimization| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 12 January 2012
PDF: 6 pages
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); doi: 10.1117/12.920912
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
PDF: 6 pages
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); doi: 10.1117/12.920912
Show Author Affiliations
M. Yousefi, Univ. Teknologi Malaysia (Malaysia)
A. N. Darus, Univ. Teknologi Malaysia (Malaysia)
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
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