Multi-objective genetic optimization of the heat transfer from longitudinal wavy fins |
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| Authors: | Diego Copiello Giampietro Fabbri |
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| Affiliation: | 1. Università di Bologna Seconda Facoltà di Ingegneria, via Fontanelle 40, 47100 Forlì, Italy;2. Dipartimento di Ingegneria Energetica Nucleare e del Controllo Ambientale, Università di Bologna, Via Zannoni 45/2, 40134 Bologna, Italy;1. Department of Mechanical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran;2. Department of Mechanical Engineering, Golestan University, P.O. Box 155, Gorgan, Iran;3. Department of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran;1. Department of Mechanical Engineering, Indian Institute of Technology Ropar, 140001 Punjab, India;2. Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India;3. School of Mechanical Engineering, Hanyang University, Seoul, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, South Korea;1. School of Mechanical Engineering, Xi’an Shiyou University, Xi’an 710065, China;2. Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China |
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| Abstract: | In the present work, we investigate the optimization of the heat transfer from wavy fins cooled by a laminar flow under conditions of forced convection and from a multi-objective point of view. The problem is addressed by means of a finite element method which allows to compute the velocity and the temperature distributions in a finned conduit cross section under conditions of imposed heat flux. Thereafter, the fin profile is optimized by means of multi-objective genetic algorithm which aims to find geometries that maximize the heat transfer and, at the same time, minimize the hydraulic resistance. The geometry of the fins is parameterized by means of a polynomial function and several order are investigated and compared. |
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