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Statistical Experimental Methods used to Obtain Edge Control of 300mm Oxide Wafers During Chemical Mechanical Planarization (CMP)

机译:用于在化学机械平面化(CMP)过程中获得300mm氧化硅晶圆边缘控制的统计实验方法

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Statistical experimental methods are a structured approach to experimentation that provides investigators with a powerful tool for maximizing the benefits from experimental projects. These methods have been used in a variety of applications and are most useful in cases where no definite theory exists about the relationship between factors and responses; thus, an empirical approach must be used. The statistically evaluated experiment discussed in this paper was conducted using 300 mm blanket oxide wafers with the objective of obtaining a model for edge control (outer 10 mm) post oxide CMP. An augmented experiment was conducted with 5 factors: ratio of membrane to retaining ring pressure, slurry flow, conditioning down force, head rotation rpm, and platen rotation rpm. Then, the factors were reduced to the four factors that influence the edge range. Next a central composite design was done to investigate these four significant factors, from which models for edge range, removal rate, and % non-uniformity were generated. A verification experiment was run at levels obtained from the analysis of the central composite design.
机译:统计实验方法是一种结构化的实验方法,为研究人员提供了一个强大的工具,可以最大程度地利用实验项目的收益。这些方法已在多种应用中使用,并且在没有明确的因素和响应之间关系的理论的情况下最有用。因此,必须使用经验方法。本文讨论的经统计学评估的实验是使用300 mm覆盖氧化层晶圆进行的,目的是获得氧化CMP后的边缘控制(外部10 mm)模型。进行了5个因素的增强实验:膜与保持环压力之比,浆液流量,调节下压力,喷头旋转rpm和压板旋转rpm。然后,将这些因素归结为影响边缘范围的四个因素。接下来,进行了中央复合设计以研究这四个重要因素,从而生成了边缘范围,去除率和%不均匀性的模型。在从中央复合设计分析获得的水平上运行了验证实验。

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