化工学报2026，Vol.77Issue(5)：2523-2533,11.DOI:10.11949/0438-1157.20251212
基于机器学习的改型歧管式微通道热沉流动传热特性多目标优化
Multi objective optimization of flow and heat transfer characteristics of modified manifold microchannel heat sink based on machine learning
摘要
Abstract
To address the heat dissipation requirements of ultra-high heat flux electronic devices,numerical simulations were conducted to study the flow and heat transfer characteristics of a modified microchannel heat sink.The influence of channel height and width on its overall performance was analyzed.A prediction model based on the genetic algorithm-optimized least squares support vector machine was established,the multi-objective particle swarm optimization algorithm was employed to optimize the geometric configuration of the heat sink,and the grey relational analysis-vlsekriterijumska optimizacija kompromisno resenje(GRA-VIKOR)and entropy-weighted technique for order of preference by similarity to ideal solution(TOPSIS)methods were utilized to screen out the globally optimal design.The results show that:compared with the original MMCHS benchmark model established in this study(geometric parameters:hm1=25 μm,hm2=25 μm,wm1=200 μm,wm2=200 μm),the optimized scheme effectively reduces the peak temperature by enhancing the secondary vortex effect,resulting in a 20.2％increase in the Nusselt number(Nu)and a 10.2％decrease in the pressure drop(Δp).The optimization strategy proposed in this study provides new insights for high-heat-flux thermal management;while ensuring a significant improvement in performance,it greatly reduces the computational cost required by traditional parametric methods and can offer theoretical guidance for the development of novel and high-efficiency microchannel heat sinks.关键词
微通道/传热/流动/深度学习/优化Key words
microchannels/heat transfer/flow/deep learning/optimization分类
能源科技引用本文复制引用
汤松臻,张飞杨,晏稷,张牧樵,郭明..基于机器学习的改型歧管式微通道热沉流动传热特性多目标优化[J].化工学报,2026,77(5):2523-2533,11.基金项目
国家自然科学基金项目(52376078) （52376078）
河南省重点研发专项(241111320900) （241111320900）
