Thermal characteristic analysis of integrated circuit package design and silicon chip health status evaluation considering the inverter heat source

Feijie Huang, Zhijie Ruan, Jiahe Wang, Qiulei Hu, Qihui Zuo, Yonghu Ma
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Abstract

The problem of thermal characterization planning of integrated circuits (ICs) is the key to limiting the further improvement of chip function and performance. However, as a commonly used frequency control device in ICs, inverters are also one of the main factors affecting the thermal characteristics of integrated circuit chips. Their improper packaging methods will increase the burden of thermal characteristic planning schemes. Therefore, this paper establishes the heat transfer model of integrated circuit packaging based on considering the heat source of the inverter and uses the finite element method to simulate and analyze the influence of the inverter on the chip temperature in different mounting areas and under different operating conditions. Based on the model simulation data, the thermal state of the chip was evaluated by a support vector machine (SVM) optimized by the Sparrow Search Algorithm (SSA). The evaluation results show that the optimal package location of the inverter should be as far away from the chip and benign thermally conductive materials as possible, and the computational efficiency and classification accuracy of SSA-SVM are improved by 147.67% and 20%, respectively, compared with traditional SVM.
考虑逆变器热源的集成电路封装设计热特性分析及硅片健康状态评估
集成电路的热特性规划问题是制约芯片功能和性能进一步提高的关键。然而,逆变器作为ic中常用的频率控制器件,也是影响集成电路芯片热特性的主要因素之一。它们的不当包装方法将增加热特性规划方案的负担。因此,本文在考虑逆变器热源的基础上,建立了集成电路封装的传热模型,并采用有限元法对不同安装区域和不同工作条件下逆变器对芯片温度的影响进行了仿真分析。基于模型仿真数据,采用基于麻雀搜索算法(SSA)优化的支持向量机(SVM)对芯片的热状态进行评估。评估结果表明,逆变器的最佳封装位置应尽可能远离芯片和良性导热材料,SSA-SVM的计算效率和分类精度较传统SVM分别提高了147.67%和20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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