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A metaheuristic analysis of heat transfer rates through porous fins of tapered and step profiles: a comparative study
The advanced high-end gadgets and sophisticated machines require effective mechanism of transferring heat away from the sources. In a large number of applications, heat is transferred by employing passive methods through fins. Over the years a lot of research has been done to improve the heat transf...
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Published in: | Neural computing & applications 2021-10, Vol.33 (19), p.12605-12619 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | The advanced high-end gadgets and sophisticated machines require effective mechanism of transferring heat away from the sources. In a large number of applications, heat is transferred by employing passive methods through fins. Over the years a lot of research has been done to improve the heat transfer ability of fins by introducing pores in them. In this work, temperature distribution and heat transfer rates of stepped, convex and triangular profiled porous fins have been studied and compared simultaneously. Two powerful metaheuristic algorithms, particle swarm optimization (PSO) and firefly algorithm (FA) have been used to optimize significant variables that regulate heat transfer through porous step and tapered fins. For the same volume constraint the heat transfer rate through step porous fins have been found to increase by 1.59% and 40.98% as compared to their triangular and convex counterparts. While the heat transfer rates obtained by PSO are marginally better (0.32%) and similar in case of step and triangular porous fins, respectively, as compared to FA, FA has reported better sub optimal points (i.e., 6.91% higher heat transfer rate) in case of convex porous fin. |
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ISSN: | 0941-0643 1433-3058 |
DOI: | 10.1007/s00521-021-05911-0 |