Optimizing cost and thermal performance: rapid prototyping of a high pin count cavity-up enhanced plastic ball grid array (EPBGA) package

B. Zahn
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引用次数: 6

Abstract

A three-dimensional finite element model of a 420 lead (5 row perimeter) cavity-up enhanced plastic ball grid array (EPBGA) package was developed using the ANSYS/sup TM/ finite element simulation code. The developed model was utilized to perform a sensitivity analysis in order to quantify the effects of varying package and system motherboard designs. Design variables included: (1) chip size; (2) package substrate metallized plane layers; (3) motherboard metallized plane layers; (4) inner solder ball matrix and vias; (5) package aluminum heat spreader thickness; and (6) chip power dissipation. Predicted package junction-to-ambient thermal resistance (/spl theta//sub JA/) values were used in conjunction with a central composite design of experiments to develop a response surface equation which quickly predicts EPBGA package thermal performance as a function of the six design variables. The methodology described allows for rapid analysis of design options in the "dynamic" environment of prototyping, and the implementation of optimized cost effective package designs to meet required standards under multiple customer environments.
优化成本和热性能:高引脚数空腔增强型塑料球栅阵列(EPBGA)封装的快速原型设计
利用ANSYS/sup TM/有限元仿真软件,建立了420引线(5排周长)空腔增强型塑料球栅阵列(EPBGA)封装的三维有限元模型。开发的模型被用来执行灵敏度分析,以量化不同的封装和系统主板设计的影响。设计变量包括:(1)芯片尺寸;(2)封装基板金属化平面层;(3)主板金属化平面层;(4)内焊球基体及通孔;(5)包铝散热器厚度;(6)芯片功耗。预测的封装结对环境热阻(/spl theta//sub JA/)值与实验的中心复合设计相结合,建立了一个响应面方程,该方程可以快速预测EPBGA封装的热性能作为六个设计变量的函数。所描述的方法允许在原型的“动态”环境中快速分析设计选项,并实现优化的成本有效的封装设计,以满足多种客户环境下所需的标准。
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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