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摘要

随着智能手机、笔记本电脑和汽车微控制部件等电子产品的日益普及,其尺寸不断减小,也需要在提高其性能的同时减少超薄硅片的体积。目前一般采用后磨,要求将晶圆片置于自转轮的卡盘上,同时控制进给速度,以减小晶圆片厚度。虽然这个过程是高效和有效的,但可能会导致亚表面损伤、表面裂纹、微裂纹、翘曲和其他不良影响。其主要缺点之一是残余应力,这在非常薄的晶圆中变得更加明显,因为这增加了刚性。Stoney方程被广泛应用于硅片背面磨削过程中残余应力和曲率半径的计算。然而,通过仿真分析磨削过程中硅片内残余应力与工艺参数之间的关系却很少。本研究解决了这一差距,采用有限元法(FEM)来研究不同工艺参数以及晶圆厚度对残余应力的影响。由于采用动态仿真,因此可以在运行时调整工艺参数来预测残余应力,而采用Stoney方程来预测不同工艺参数对翘曲的影响。根据得到的结果,可以以可接受的精度预测工艺引起的晶圆翘曲,从而可以用于优化工艺参数值以最小化晶圆翘曲。
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Simulation Method of Ultra-Thin Silicon Wafers Warpage
As the electronic products, such as smart phones, notebooks, and micro-control parts for vehicles, are becoming increasingly popular and their size continues do decrease, there is also a need to reduce the volume of ultra-thin silicon wafers while improving their performance. At present, backside grinding is typically used for this purpose, and requires that the wafer is placed on the chuck of a self-rotating wheel, while controlling the feed rate in order to reduce wafer thickness. Although this process is efficient and effective, it may result in subsurface damage, surface cracks, micro-cracks, warpage, and other undesirable effects. One of its main drawbacks is residual stress, which becomes more pronounced in very thin wafers, as this increases rigidity. Stoney equation is widely used to examine the residual stress and curvature radius in a silicon wafer due to the backside grinding process. However, the relationship between the residual stress generated in the wafer during the grinding process and the process parameters is rarely analyzed through simulations. This gap is addressed in the present study, whereby the finite element method (FEM) is adopted to examine the effects of different process parameters, as well as wafer thickness, on the residual stress. As dynamic simulation is adopted, this allows the process parameters to be adjusted at runtime to predict the residual stress, while Stoney’s equation is employed to predict the influence of different process parameters on warpage. Based on the obtained results, the wafer warpage caused by the process can be predicted with acceptable accuracy, which can in turn be used to optimize the process parameter values to minimize wafer warpage.
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