制冷学报2026，Vol.47Issue(1)：80-87,8.DOI:10.12465/issn.0253-4339.20250812002
射流冲击冷却热力-水力性能多目标优化研究
Investigation on Multi-Objective Optimization of Thermal-Hydraulic Performance for Enhanced Heat Transfer in Jet Impingement Cooling
摘要
Abstract
Implementing efficient,clean,and energy-saving cooling solutions is important to decarbonize data centers.This study investigates a variable-spacing multijet direct-chip cooling device that increases the heat-transfer coefficient and improves temperature uniformity.The effects of the coolant flow rate,inlet temperature,pin-fin design parameters,and jet hole spacings on the thermal resistance,pressure drop,standard deviation of temperature,and Nusselt number are investigated.The dataset for the surrogate model construction is obtained based on computational fluid dynamics and Latin hypercube-sampling experimental designs.An artificial neural network model is developed with structural and thermal parameters as inputs and thermal resistance,pressure drop,and temperature uniformity as outputs.An algorithm called constrained multi-objective optimization based on the even search is used to find the solution.The optimization results show that the optimal design outperforms the initial design and has better performance specifications than those of existing studies for both thermal and hydraulic performances.Thus,it has good prospects for engineering applications.Herein,the optimization of variable-spacing multijet direct-chip cooling is investigated,enabling the chip to operate at a higher performance level.关键词
数据中心/射流冲击冷却/高热流密度/代理模型/多目标优化Key words
data center/jet impingement cooling/high heat flux/surrogate model/multi-objective optimization分类
能源科技引用本文复制引用
关苏敏,丁若晨,王宁波,叶青平,郑志美,邵双全..射流冲击冷却热力-水力性能多目标优化研究[J].制冷学报,2026,47(1):80-87,8.基金项目
国家重点研发计划(2020YFF0218601)资助项目.(The project was supported by the National Key Research and Development Program of China(No.2020YFF0218601).)本文受中国长江电力股份有限公司科研项目(Z152402007)资助.(The project was supported by Research project of China Yangtze Power Co.,Ltd. (No. Z152402007). ) （2020YFF0218601）
