一种用于GaN功率放大器(PA)芯片连接优化的热应力分析工具

Q. Qi, D. Monthei
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引用次数: 1

摘要

在整个解决方案中,贴片是一个至关重要的组成部分,它可以确保PA器件在目标使用寿命内的峰值功率工作期间能够以可接受的结温运行,同时减轻温度偏移期间GaN器件和衬底材料之间热膨胀系数不匹配所产生的热机械应力。传统上,热分析和应力分析必须分开进行,并使用不同的数值分析工具。这个过程可能是漫长而耗时的,而且通常优化的热解决方案不会与优化的机械解决方案一致。这样的困境提供了什么是在这里报道的动力:一个分析工具的发展,并发热应力分析和快速翻模附件优化。热解决方案基于Muzychka等人报告的方法,该方法考虑了一般器件级的热扩散阻力;无限级数求和解决方案适用于GaN器件配置,允许器件设计和芯片连接优化同时进行,与数值解决方案不同,它显示了影响整体热阻的各个因素。如果特定设备的输入功率水平和用户环境已知,则可以计算结温,并使用高分辨率红外热成像测量或独立有限元分析来校准模型精度。一旦校准得到确认,就可以进行趋势预测,以评估不同设计参数以及模具贴附材料对器件热性能的影响。热机械应力解基于双金属梁理论,最初归因于Timoshenko,后来由Suhir和其他人改进。这种二维方法利用闭合形式的解析解,并捕获了模具附着层内应力分布的主要行为。对于给定的模具附着材料和粘结线厚度(BLT), von Mises应力可以很容易地计算出来,然后可以将模具附着材料的结果与热分析结果并排评估。一个迭代循环可以基于独立但集成的分析方法在这里提出:热分析,以优化器件设计,选择模具附件材料和应力分析,以验证所选择的模具附件在热载荷下不会引起过大的应力。除了成本、保质期、加工条件等方面的考虑外,当所选贴片在可接受的结壳热阻和较低的贴片von Mises应力等因素之间达到平衡时,迭代停止。一个案例研究将展示如何开发的工具可以应用于帮助缩短模具附件选择周期与优化和趋势预测。
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An analytical thermal and stress analysis tool for die attach optimization in GaN power amplifier (PA) applications
Die attach is a crucial ingredient of the overall solution to ensure that a PA device can function with acceptable junction temperature during peak power operation over the target service life, while mitigating thermo-mechanical stresses incurred by the mismatch of coefficients of thermal expansion between GaN device and substrate materials during temperature excursion. Traditionally, thermal and stress analyses must be performed separately and with different numerical analysis tools. This process can be lengthy and time consuming and more often than not an optimized thermal solution will not coincide with an optimized mechanical solution. Such a dilemma provides the impetus for what is reported here: development of an analytical tool for concurrent thermal and stress analyses and quick turn die attach optimization. Thermal solutions are based on the approach reported by Muzychka et al. that accounts for general device level thermal spreading resistance; the infinite series summation solution was adapted to GaN device configurations that allows device design and die attach optimizations at the same time by, unlike numerical solutions, showing the individual contributing factors to the overall thermal resistances. If the input power level and user environment are known for a particular device, junction temperature may be calculated and used to calibrate the model accuracy with, say, high resolution IR thermal imaging measurement or independent FEA analysis. Once calibration is confirmed, trend prediction can then be performed to assess the impacts of different design parameters as well as die attach materials on the device thermal performance. Thermo-mechanical stress solutions are based on the bimetallic beam theories originally attributed to Timoshenko and later improved by Suhir and others. This 2D approach utilizes close-form analytical solutions and captures the dominant behavior of the stress distributions inside the die attach layer. For a given die attach material and bond-line-thickness (BLT), von Mises stress can be readily calculated and results for die attach materials can then be assessed side by side with the thermal analysis results. An iterative loop may be initiated based on the independent but yet integrated analysis methodologies presented here: thermal analysis to optimize the device design with selection of die attaches material and stress analysis to verify the selected die attach does not induce excessive stress under thermal loading. Iteration stops when the selected die attach achieves a balance among factors such as acceptable junction to case thermal resistance and lower die attach von Mises stress, in addition to cost, shelf life, processing condition, etc. considerations. A case study will be demonstrated to show how the developed tool can be applied to help shorten the die attach selection cycle with optimization and trend predictions.
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