https://doi.org/10.1140/epjp/s13360-022-03260-y
Regular Article
Optimization of single-obstacle location and distance between square obstacles in a curved channel
Department of Mechanical Engineering, Hakim Sabzevari University, Sabzevar, Iran
Received:
27
June
2022
Accepted:
2
September
2022
Published online:
13
September
2022
It is imperative to optimize the location of the single obstacle and the distance between the obstacles in a curved channel in order to prevent energy loss. In this paper, entropy generation analysis and multi-objective genetic algorithm are conducted to optimize the location of a single obstacle and the distance between two tandem square obstacles in a curved channel in the turbulence flow regime using the k- ω-shear-stress transport model. The aim is to design an optimal obstructed channel with maximum efficiency and minimum entropy and irreversibility. The effects of obstacle location and distance between two tandem square obstacles on efficiency, irreversibility, and local and overall entropy caused by viscous and turbulence dissipation in a curved channel are investigated. The novelty of the study is the analysis of entropy generation using the Bejan relation for the curved obstacle channel. Moreover, the location of a single obstacle and the distance between two tandem square obstacles in a curved channel have not been optimized, which distinguishes this research from previous studies. The results indicate that the entropy generated by viscous and turbulence dissipation decreases by 50 and 58.33% in the optimized single-obstacle channel and by 10 and 27.77% in the optimized double-obstacle channel compared to the base geometries, respectively. Also, the efficiency of the curved channel in the optimal state improves by 55.55% in the presence of a single obstacle and by 63.15% in the presence of two tandem square obstacles compared to the base states.
Copyright comment Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
