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Multi-objective optimization of heat exchanger design by entropy generation minimization / Jiangfeng Guo in Journal of heat transfer, Vol. 132 N° 8 (Août 2010) 

Public ISBD [article]  in Journal of heat transfer > Vol. 132 N° 8 (Août 2010) . - pp. [081801-1/8] Titre : Multi-objective optimization of heat exchanger design by entropy generation minimization Type de document : texte imprimé Auteurs : Jiangfeng Guo, Auteur ; Lin Cheng, Auteur ; Mingtian Xu, Auteur Article en page(s) : pp. [081801-1/8] Note générale : Physique Langues : Anglais (eng) Mots-clés : Heat  exchanger  Heat  and  mass  transfer  Heat  conduction  Genetic  algorithm  Pareto  optimisation Index. décimale : 536 Chaleur. Thermodynamique Résumé : In the present work, a multi-objective optimization of heat exchanger thermal design in the framework of the entropy generation minimization is presented. The objectives are to minimize the dimensionless entropy generation rates related to the heat conduction under finite temperature difference and fluid friction under finite pressure drop. Constraints are specified by the admissible pressure drop and design standards. The genetic algorithm is employed to search the Pareto optimal set of the multi-objective optimization problem. It is found that the solutions in the Pareto optimal set are trade-off between the pumping power and heat exchanger effectiveness. In some sense, the optimal solution in the Pareto optimal set achieves the largest exchanger effectiveness by consuming the least pumping power under the design requirements and standards. In comparison with the single-objective optimization design, the multi-objective optimization design leads to the significant decrease in the pumping power for achieving the same heat exchanger effectiveness and presents more flexibility in the design process. DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...] [article] Multi-objective optimization of heat exchanger design by entropy generation minimization [texte imprimé] / Jiangfeng Guo, Auteur ; Lin Cheng, Auteur ; Mingtian Xu, Auteur . - pp. [081801-1/8]. Physique Langues : Anglais (eng) in Journal of heat transfer > Vol. 132 N° 8 (Août 2010) . - pp. [081801-1/8] Mots-clés : Heat  exchanger  Heat  and  mass  transfer  Heat  conduction  Genetic  algorithm  Pareto  optimisation Index. décimale : 536 Chaleur. Thermodynamique Résumé : In the present work, a multi-objective optimization of heat exchanger thermal design in the framework of the entropy generation minimization is presented. The objectives are to minimize the dimensionless entropy generation rates related to the heat conduction under finite temperature difference and fluid friction under finite pressure drop. Constraints are specified by the admissible pressure drop and design standards. The genetic algorithm is employed to search the Pareto optimal set of the multi-objective optimization problem. It is found that the solutions in the Pareto optimal set are trade-off between the pumping power and heat exchanger effectiveness. In some sense, the optimal solution in the Pareto optimal set achieves the largest exchanger effectiveness by consuming the least pumping power under the design requirements and standards. In comparison with the single-objective optimization design, the multi-objective optimization design leads to the significant decrease in the pumping power for achieving the same heat exchanger effectiveness and presents more flexibility in the design process. DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...]