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工业控制器多层级散热优化仿真与实验

Simulation and Experiment of Multi-level Heat Dissipation Optimization for Industrial Controllers

  • 摘要: 针对高功率密度工业控制器散热瓶颈问题,提出一种基于Icepak仿真平台的多层级散热优化方案。结合实验验证,从组件级与系统级两个层面开展散热优化研究。组件层面,创新设计外延式散热器结构,构建并联导热路径,CPU与FPGA芯片结温温升分别降低26.6%和16.2%。系统层面,基于流场分析诊断屏柜内气流滞留问题,设计导流风机方案,CPU与FPGA芯片结温温升分别降低36.9%和28.8%。研究结果表明,协同散热优化可有效提升工业控制器的热管理性能,具有较强的工程应用价值。

     

    Abstract: To address the heat dissipation bottleneck of high power density industrial controllers, this paper proposes a multi-level heat dissipation optimization design based on the Icepak simulation platform. Both component-level and system-level optimizations are conducted with experimental validation. At the component level, an innovative extended heat sink structure is designed to build parallel thermal conduction paths. The junction temperature rise of the CPU and FPGA chips is reduced by 26.6% and 16.2%, respectively. At the system level, based on the flow field analysis to diagnose the air stagnation problem inside the cabinet, a ducted fan solution is designed. The junction temperature rise of the CPU and FPGA chips is reduced by 36.9% and 28.8%, respectively. The study shows that collaborative heat dissipation optimization can effectively improve the thermal management performance of industrial controllers and has strong engineering application value.

     

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