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首页> 外文期刊>Components, Packaging and Manufacturing Technology, IEEE Transactions on >Study of Response Surface Methodology in Thermal Optimization Design of Multichip Modules
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Study of Response Surface Methodology in Thermal Optimization Design of Multichip Modules

机译:多芯片模块热优化设计中的响应面方法学研究

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摘要

A 3-D model of multichip module (MCM) is built with ANSYS and the temperature field distribution is studied. A regression equation describing the relationship of structure parameters and material properties with the maximum chip junction temperature of MCM is made, which integrates the response surface methodology and ANSYS. Quantitative analysis of the effect of four design parameters on the maximum chip junction temperature of MCM is studied. The four design parameters are the thickness of the substrate, thermal conductivity of the substrate, thermal conductivity of the thermal grease, and convection heat transfer coefficient, respectively. The accuracy and validity of the regression equation are validated by simulation with ANSYS. In addition, the maximum error between the calculation value of the regression equation and the simulation value with ANSYS is 0.541$^{circ}{rm C}$. With the regression equation, the thermal optimization design results of the four parameters are $K_{tg}=5~{rm W}/{rm m}~^{circ}{rm C}$, $delta=2.5~{rm mm}$, $K_{s}=290~{rm W}/{rm m}~^{circ}{rm C}$, and $h=55~{rm W}/{rm m}^{2}~^{circ}{rm C}$, which lead to the maximum chip junction temperature $T_{j{rm max}}=89.172^{circ}{rm C}$ as the minimum value.
机译:利用ANSYS建立了多芯片模块(MCM)的3-D模型,研究了温度场分布。给出了描述结构参数和材料特性与MCM最高芯片结温之间关系的回归方程,该方程将响应面方法和ANSYS集成在一起。定量分析了四个设计参数对MCM芯片最大结温的影响。四个设计参数分别是基板的厚度,基板的导热系数,导热油脂的导热系数和对流传热系数。通过ANSYS仿真验证了回归方程的准确性和有效性。此外,回归方程的计算值与ANSYS的模拟值之间的最大误差为0.541 $ ^ {circ} {rm C} $。利用回归方程,四个参数的热优化设计结果为$ K_ {tg} = 5〜{rm W} / {rm m}〜^ {circ} {rm C} $,$ delta = 2.5〜{rm mm} $,$ K_ {s} = 290〜{rm W} / {rm m}〜^ {circ} {rm C} $和$ h = 55〜{rm W} / {rm m} ^ {2 }〜^ {circ} {rm C} $,这导致最大芯片结温$ T_ {j {rm max}} = 89.172 ^ {circ} {rm C} $作为最小值。

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