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

Xiaoming Zhang, Tao Yang (), Zhenyuan Chang, Liang Xu, Lei Xi, Jianmin Gao, Penggang Zheng and Ran Xu
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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

Energies, 2024, vol. 17, issue 4, 1-18

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.

Keywords: microchannel heat sink; zigzag channel; flow field; heat transfer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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