Multi-objective optimization of elliptical tube fin heat exchangers based on neural networks and genetic algorithm
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DOI: 10.1016/j.energy.2023.126729
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References listed on IDEAS
- José Luis de Andrés Honrubia & José Gaviria de la Puerta & Fernando Cortés & Urko Aguirre-Larracoechea & Aitor Goti & Jone Retolaza, 2021. "Development and Application of a Multi-Objective Tool for Thermal Design of Heat Exchangers Using Neural Networks," Mathematics, MDPI, vol. 9(10), pages 1-23, May.
- Yue Sun & Xinting Wang & Rui Long & Fang Yuan & Kun Yang, 2019. "Numerical Investigation and Optimization on Shell Side Performance of A Shell and Tube Heat Exchanger with Inclined Trefoil-Hole Baffles," Energies, MDPI, vol. 12(21), pages 1-23, October.
- Zheng, Dan & Du, Jianqiang & Wang, Wei & Klemeš, Jiří Jaromír & Wang, Jin & Sundén, Bengt, 2022. "Analysis of thermal efficiency of a corrugated double-tube heat exchanger with nanofluids," Energy, Elsevier, vol. 256(C).
- Wang, Jin & Yu, Kai & Ye, Mingzheng & Wang, Enyu & Wang, Wei & Sundén, Bengt, 2022. "Effects of pin fins and vortex generators on thermal performance in a microchannel with Al2O3 nanofluids," Energy, Elsevier, vol. 239(PE).
- Chen, Zhanxiu & Zheng, Dan & Wang, Jin & Chen, Lei & Sundén, Bengt, 2020. "Experimental investigation on heat transfer characteristics of various nanofluids in an indoor electric heater," Renewable Energy, Elsevier, vol. 147(P1), pages 1011-1018.
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Cited by:
- Nijie Jing & Yudong Xia & Qiang Ding & Yuezeng Chen & Zhiqiang Wang & Xuejun Zhang, 2023. "Simulation and Optimization Study on the Performance of Fin-and-Tube Heat Exchanger," Sustainability, MDPI, vol. 15(15), pages 1-15, July.
- Wang, Pengfei & Zhu, Ze & Liang, Wenlong & Liao, Longtao & Wan, Jiashuang, 2023. "Hybrid mechanistic and neural network modeling of nuclear reactors," Energy, Elsevier, vol. 282(C).
- Močnik, Urban & Čikić, Ante & Muhič, Simon, 2024. "Numerical and experimental analysis of fluid flow and flow visualization at low Reynolds numbers in a dimple pattern plate heat exchanger," Energy, Elsevier, vol. 288(C).
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Keywords
CFD; Genetic algorithm; Neural networks; Multi-objective optimization;All these keywords.
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