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Multi-objective optimization of the TPMS-Fin three-fluid heat exchanger for vehicles using RSM-NSGA-III

Author

Listed:
  • Wei, Xiaofei
  • Qian, Yejian
  • Li, Yao
  • Yao, Mingyao
  • Qian, Duode
  • Gong, Zhen

Abstract

A novel TPMS-Fin three-fluid heat exchanger was developed by integrating TPMS with fins. The TPMS enables three isolated flow paths for simultaneous heat exchange between air and two liquid streams, while fins enhance air-side performance. The heat exchanger was fabricated using 3D printing and experimentally tested. A validated CFD model was established, and response surface methodology (RSM) combined with Non-dominated Sorting Genetic Algorithm III (NSGA-III) was employed for multi-objective optimization. Five design variables—hydraulic diameter (d), volume fraction (V), fin area percentage (Fs), fin pitch ratio (w) and inlet velocity (u)—were investigated with respect to unit length pressure drop (ΔP/L), volumetric heat transfer rate (Qv) and j/f. The manufacturing and testing parameters were established, including scanning speed of 1400 mm/s and fill area offset of 0.13 mm. The design variables exhibit nonlinear and strongly coupled spatial synergistic effects on the flow and heat transfer performance. Based on NSGA-III and TOPSIS, the optimal design achieved ΔP/L = 2.038 kPa/m, Qv = 2271 kW/m3 and j/f = 0.1032, corresponding to d = 6.11 mm, V = 11.16 %, Fs = 51.06 %, w = 0.16 and u = 4.04 m/s. Compared to the orginal design, Qv and j/f increased by 7.4 % and 6 %, respectively. The results offer insights into variable interactions and support future development of multi-fluid heat exchangers.

Suggested Citation

  • Wei, Xiaofei & Qian, Yejian & Li, Yao & Yao, Mingyao & Qian, Duode & Gong, Zhen, 2025. "Multi-objective optimization of the TPMS-Fin three-fluid heat exchanger for vehicles using RSM-NSGA-III," Energy, Elsevier, vol. 328(C).
  • Handle: RePEc:eee:energy:v:328:y:2025:i:c:s0360544225021048
    DOI: 10.1016/j.energy.2025.136462
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    References listed on IDEAS

    as
    1. Zhan, Yuanhang & Zhu, Jun, 2024. "Response surface methodology and artificial neural network-genetic algorithm for modeling and optimization of bioenergy production from biochar-improved anaerobic digestion," Applied Energy, Elsevier, vol. 355(C).
    2. Li, Jing & Zuo, Wei & E, Jiaqiang & Zhang, Yuntian & Li, Qingqing & Sun, Ke & Zhou, Kun & Zhang, Guangde, 2022. "Multi-objective optimization of mini U-channel cold plate with SiO2 nanofluid by RSM and NSGA-II," Energy, Elsevier, vol. 242(C).
    3. Jradi, Rania & Marvillet, Christophe & Jeday, Mohamed Razak, 2025. "Robust intelligent paradigms for estimating fouling in phosphoric acid / steam heat exchanger," Energy, Elsevier, vol. 315(C).
    4. Huang, W.S. & Ning, H.Y. & Tang, G.H., 2025. "Investigation of high-compactness and high-efficiency TPMS precoolers for precooled aero-engine," Energy, Elsevier, vol. 319(C).
    5. Chen, Wei-Hsin & Carrera Uribe, Manuel & Kwon, Eilhann E. & Lin, Kun-Yi Andrew & Park, Young-Kwon & Ding, Lu & Saw, Lip Huat, 2022. "A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface methodology (RSM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    6. Ma, Jing & Sun, Yongfei & Zhang, Shiang, 2023. "Experimental investigation on energy consumption of power battery integrated thermal management system," Energy, Elsevier, vol. 270(C).
    7. Azizi, Saeid & Shakibi, Hamid & Shokri, Afshar & Chitsaz, Ata & Yari, Mortaza, 2023. "Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system," Applied Energy, Elsevier, vol. 332(C).
    8. Zhu, Chen & Mou, Xiaofeng & Bao, Zewei, 2024. "Optimization of tree-shaped fin structures towards enhanced discharging performance of metal hydride reactor for thermochemical heat storage based on entransy theory," Renewable Energy, Elsevier, vol. 220(C).
    9. Wang, Jinghan & Chen, Kai & Zeng, Min & Ma, Ting & Wang, Qiuwang & Cheng, Zhilong, 2023. "Assessment of flow and heat transfer of triply periodic minimal surface based heat exchangers," Energy, Elsevier, vol. 282(C).
    10. Xu, Hong & Yu, Wenhui & Zhang, Yuan & Ma, Suli & Wu, Zhiyuan & Liu, Xiaohu, 2023. "Flow and heat transfer performance of bionic heat transfer structures with hybrid triply periodic minimal surfaces," Applied Energy, Elsevier, vol. 351(C).
    11. Khalatbarisoltani, Arash & Han, Jie & Saeed, Muhammad & Liu, Cong-zhi & Hu, Xiaosong, 2025. "Privacy-preserving integrated thermal and energy management of multi connected hybrid electric vehicles with federated reinforcement learning," Applied Energy, Elsevier, vol. 385(C).
    12. Fu, Zhiao & Zuo, Wei & Li, Qingqing & Zhou, Kun & Huang, Yuhan & Li, Yawei, 2025. "Multi-objective optimization of liquid cooling plate partially filled with porous medium for thermal management of lithium-ion battery pack by RSM, NSGA-II and TOPSIS," Energy, Elsevier, vol. 318(C).
    13. Zhang, Zhiqing & Liu, Hui & Yang, Dayong & Li, Junming & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Performance enhancements of power density and exergy efficiency for high-temperature proton exchange membrane fuel cell based on RSM-NSGA III," Energy, Elsevier, vol. 301(C).
    14. Wei, Xiaofei & Qian, Yejian & Li, Yao & Gong, Zhen & Yao, Mingyao & Qian, Duode & Hu, Biqian, 2025. "Investigation on the flow and heat transfer of a novel three-fluid heat exchanger based on TPMS," Energy, Elsevier, vol. 314(C).
    15. Zhuang, Weichao & Li (Eben), Shengbo & Zhang, Xiaowu & Kum, Dongsuk & Song, Ziyou & Yin, Guodong & Ju, Fei, 2020. "A survey of powertrain configuration studies on hybrid electric vehicles," Applied Energy, Elsevier, vol. 262(C).
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