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首页> 外文期刊>Quality Control and Applied Statistics >Process optimization of a superfinishing machine through experimental design and mixed response surface models
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Process optimization of a superfinishing machine through experimental design and mixed response surface models

机译：通过实验设计和混合响应面模型优化超精加工机的工艺

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The problem of finding optimal settings for superfinishing process through use of mixed response surface models is considered. This setting is, in fact, aimed to obtain the best levels of the abrasive component mixture and time process to minimize the final roughness for a centrifugal compressor impeller. In this regard, the technological problem that concerned with the reduction of the surface roughness of centrifugal compressor impellers through a new technology called superfinishing is taken up and is studied through statistical methods in order to achieve a minimum of the final roughness according to the best set of levels for the abrasive component mixture and the time process. For this purpose, an experimental design is planned for three different materials and then the mixed response surface models are applied. In fact, the mixed surface models helped to estimate random effects, useful for better controlling the process variance in a robust design approach. The results obtained for the case study are illustrated in which the outcomes and results are reported for each material. The outcomes are then discussed and compared with other methods and solutions aimed with similar purposes. (23 refs.)
机译：考虑了通过使用混合响应曲面模型为超精加工找到最佳设置的问题。实际上，此设置旨在获得最佳含量的磨料成分混合物和时间过程，以最大程度地减小离心式压缩机叶轮的最终粗糙度。在这方面，解决了与通过一种称为超精加工的新技术降低离心式压缩机叶轮的表面粗糙度有关的技术问题，并通过统计方法进行了研究，以便根据最佳设置使最终粗糙度最小。磨料成分混合物的含量和时间过程。为此，计划了针对三种不同材料的实验设计，然后应用了混合响应曲面模型。实际上，混合表面模型有助于估计随机效应，有助于以可靠的设计方法更好地控制工艺差异。说明了从案例研究获得的结果，其中报告了每种材料的结果和结果。然后讨论结果，并将其与针对类似目的的其他方法和解决方案进行比较。 （23篇）

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