英语翻译The Taguchi method is a robust parameter design technolo

英语翻译
The Taguchi method is a robust parameter design technology that is useful for improving the desired properties of materials by studying the key factors controlling their production and by optimizing the procedure to find the best results.Hence,the Taguchi optimization technique will be used to identify the optimal settings of control factors which would maximize the shear layer thickness in injection-molded fiber-reinforced parts with a minimum variation.The Taguchi experimental method is carried out by utilizing an orthogonal array,the signal-to-noise (S/N) ratio,and the analysis of variance (ANOVA).The fractional experimental design of orthogonal arrays allows one to compute the main and interaction effects by using a minimum number of experiments with a permissive reliability.Then,experimental trials based on orthogonal arrays are conducted to yield the best levels of process parameters associated with the greatest thickness of the shear layer.The S/N ratio is used to identify the quality characteristics which optimize process/product performance.More than 60 different S/N ratios have been established and defined by Taguchi for parameter designs in engineering applications.For the present analysis,the larger-the-better quality characteristic of the S/N ratio is chosen to solve the fiber orientation problem,since the objective is to maximize the shear layer thickness.
The optimal process parameters are determined such that the functional characteristic of
the product,which is the maximal sensitivity to the S/N ratio,is optimized.To determine the influence of process parameters on the shear layer thickness,the ANOVA can be utilized.

田口方法是一种鲁棒的参数设计技术,它通过研究控制生产的关键因素和通过优化程序来找到最佳的结果来提高材料所要求的性能,而在这方面它是有用的.因此,我们将采用田口优化技术来确定控制因素的最佳设置,而这将使注塑成形的纤维增强零件的剪切层厚度最大化而变化最小.田口实验方法是利用正交阵列,信 噪（S / N）比,和方差分析（ANOVA）进行的.正交阵列的小数实验设计允许人们使用最小数量的实验,以允许的可靠性来计算主要的和相互作用的影响.然后,基于正交阵列的实验性试验被进行,以得到与剪切层的最大厚度相关联的最佳水平的工艺参数.信噪比用来确定优化工艺/产品的质量特性.田口已确立和规定了超过60个不同的S / N比,以用于工程应用中的参数设计.对于本分析来说,选择较大-较好的S / N比的质量特性来解决纤维取向的问题,因为目标是使剪切层的厚度最大化.

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