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Data Mining Approach for Identifying Optimal Process Parameters in Micro-Manufacturing

机译:用于识别微制造中最佳过程参数的数据挖掘方法

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Micro-manufacturing processes are often characterized by unknown correlations between process parameters and quality characteristics. Due to the large amount of process data a systematic approach is needed. This paper describes an approach to use data mining methods on production data from micro manufacturing processes. A micro powder injection molding process is used as an example to validate the approach and the results of an initial analysis are presented.
机译:微制造过程通常是过程参数与质量特征之间未知的相关性的特征。由于大量的过程数据需要系统的方法。本文介绍了一种在微型制造过程中使用数据挖掘方法的方法。使用微粉注射成型工艺作为验证方法的示例,并提出了初始分析的结果。

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