نویسنده
Abbasi, Ahmad, Firouzi, Behnam, Şendur, Polat
تاریخ انتشار
2021-04
محل انتشار
-
Springer Nature
موضوع
Optimization, Harris hawks optimization (HHO), Entropy generation, Micro-channel heat sink, Knudsen number, Metaheuristic optimization
نوع
دوره ای
زبان
انگلیسی
دیجیتال
بله
نسخه خطی
خیر
کتابخانه
دانشگاه اوزیغین
شناسه دارایی کتابخانه
0177-0667
شماره ثبت
21f4fba8-3c26-4206-a689-4b62c2b60143
محل کتابخانه
Mechanical Engineering
تاریخ
2021-04
متن نمونه
A novel Harris hawks optimization algorithm is applied to microchannel heat sinks for the minimization of entropy generation. In the formulation of the heat transfer model of the microchannel, the slip flow velocity and temperature jump boundary conditions have been taken into account. A variety of materials and fluids have also been evaluated to determine the optimal design of the microchannel. Since the main objective of this paper is to assess the search and exploration ability of the novel Harris Hawks algorithm, results are also benchmarked with those of commonly used particle swarm optimization, bees optimization algorithm, grasshopper optimization algorithm, whale optimization algorithm and dragonfly algorithm. Finally, results are compared to the analytical results and results obtained by the application of genetic algorithms. Results show that the Harris hawks algorithm has a superior performance in minimizing the entropy generation of the microchannel. The algorithm is also more computationally efficient compared to the aforementioned algorithms. Moreover, optimization results indicate that the use of copper for the microchannel and ammonia as the coolant leads to minimal entropy generation and, therefore, is considered as the best design. Considering the poor corrosive characteristics of copper, aluminum as the microchannel material is proposed as an alternative.
DOI
10.1007/s00366-019-00892-0
Cilt
37
