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Multi-Objective Optimization of the Microchannel Heat Sink Used for Combustor of the Gas Turbine

Author

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  • Xiaoming Zhang

    (Shaanxi Special Equipment Inspection and Testing Institute, Xi’an 710049, China)

  • Tao Yang

    (Shaanxi Special Equipment Inspection and Testing Institute, Xi’an 710049, China)

  • Zhenyuan Chang

    (Shaanxi Special Equipment Inspection and Testing Institute, Xi’an 710049, China)

  • Liang Xu

    (School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Lei Xi

    (School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Jianmin Gao

    (School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Penggang Zheng

    (Shaanxi Special Equipment Inspection and Testing Institute, Xi’an 710049, China)

  • Ran Xu

    (Shaanxi Special Equipment Inspection and Testing Institute, Xi’an 710049, China)

Abstract

This research presents a surrogate model and computational fluid dynamic analysis-based multi-objective optimization approach for microchannel heat sinks. The Non-dominated Sorting Genetic Algorithm is suggested to obtain the optimal solution set, and the Kriging model is employed to lower the simulation’s computational cost. The physical model consists of a coolant chamber, a mainstream chamber, and a solid board equipped with staggered Zigzag cooling channels. Five design variables are examined in relation to the geometric characteristics of the microchannel heat sinks: the length of inlet of the cooling channels, the width of the cooling channels, the length of the “zigzag”, the height of the cooling channels, and the periodic spanwise width. The optimal geometry is established by choosing the averaged cooling effectiveness and coolant mass flow rate which enters the mainstream chamber through the microchannel heat sinks as separate objectives. From the Pareto front, the optimal microchannel heat sinks structures are obtained. Three optimized results are studied, including the maximum cooling effectiveness, minimum coolant mass flow rate, and a compromise between the both objectives; a reference case using the median is compared as well. Numerical assessments corresponding to the four cases are performed, and the flow and cooling performance are compared. Furthermore, an analysis is conducted on the mechanisms that impact the ideal geometric parameters for cooling performance.

Suggested Citation

  • Xiaoming Zhang & Tao Yang & Zhenyuan Chang & Liang Xu & Lei Xi & Jianmin Gao & Penggang Zheng & Ran Xu, 2024. "Multi-Objective Optimization of the Microchannel Heat Sink Used for Combustor of the Gas Turbine," Energies, MDPI, vol. 17(4), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:4:p:818-:d:1335906
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    References listed on IDEAS

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    1. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
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