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首页> 外文期刊>International Journal of Statistics and Probability >Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering
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Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering

机译：主成分分析和响应面方法在钢丝回火过程中的应用

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The purpose of this work was the creation of a statistical modeling capable of replacing the process used to set up of the ovens of the quenching and tempering who is traditionally accomplished through adjustments made based on the results of mechanical properties tested in laboratory and required in customer specifications.This study seeks to understand the influence of input variables (factors) on the tensile strength limit, in SAE 9254 draw steel wires, with diameters 2.00 mm and 6.50 mm, used in the manufacture of valve springs and clutch springs for automobiles.The process input variables were investigated: steel wire diameter, processing speed, temper temperature and liquid polymer concentration (which is the tempering medium).Methodologies were used where design of experiments, multiple regression and quadratic regression, principal components analysis (multivariate statistical) and response surface methodology.Results revealed which variables are significant in the process.Also models obtained were validated using appropriate statistical methods.If this study is used, it can provide the automation of this process.It's important to point out that it could impact the increase in productivity and quality of product.
机译：这项工作的目的是创建能够更换用于建立淬火和回火的烤箱的过程的统计建模，该过程是通过基于在实验室中测试的机械性能的结果和客户所需的机械性能的结果而完成的调整来实现的本研究旨在了解输入变量（因子）对拉伸强度极限的影响，在SAE 9254绘制钢丝中，直径2.00 mm和6.50毫米，用于制造阀门弹簧和用于汽车的离合器弹簧。研究了工艺输入变量：钢丝直径，加工速度，调味温度和液体聚合物浓度（即回火介质）。使用实验设计，多元回归和二次回归，主要成分分析（多元统计）和反应的方法中使用了方法。表面方法。结果显示了该过程中的变量很大。使用适当的统计方法验证所获得的模型。如果使用该研究，它可以提供该过程的自动化。重要的是指出它可能会影响产品的增加和产品质量的增加。

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