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首页> 外文期刊>Components, Packaging and Manufacturing Technology, IEEE Transactions on >Optimization of Multilayer Probe Card Using Strain Energy-Based Analytical Model and Multiobjective Programming Algorithm
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Optimization of Multilayer Probe Card Using Strain Energy-Based Analytical Model and Multiobjective Programming Algorithm

机译:基于应变能分析模型和多目标规划算法的多层探针卡优化

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摘要

Wafer testing in the semiconductor industry is generally performed using a multilayer probe card. In this paper, Castigliano's second theorem is used to derive analytical formulae for the contact force and scrub mark length generated during the probing test. The formulations are then integrated with a multiobjective programming algorithm to optimize the probe needle parameters in such a way as to ensure a uniform contact force and a minimum scrub mark length. The validity of the analytical model is confirmed by comparing the solutions obtained for the contact force and scrub mark length with the equivalent results obtained from finite element simulations. The effectiveness of the analytical model and optimization procedure is demonstrated by optimizing the needle parameters of a commercial four-layer probe card. It is shown that the optimized probe card not only produces a more uniform contact force than the original probe card but also yields a shorter and more uniform scrub mark length.
机译:半导体工业中的晶圆测试通常使用多层探针卡进行。在本文中,使用Castigliano的第二个定理来推导探查过程中产生的接触力和擦痕长度的解析公式。然后将制剂与多目标编程算法集成在一起,以确保均匀的接触力和最小的擦洗标记长度的方式优化探针参数。通过将获得的接触力和擦洗标记长度的解与从有限元模拟获得的等效结果进行比较,可以确定分析模型的有效性。通过优化商用四层探针卡的针头参数,可以证明分析模型和优化程序的有效性。结果表明,优化的探针卡不仅产生比原始探针卡更均匀的接触力,而且产生更短且更均匀的擦洗标记长度。

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