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首页> 外文期刊>Materials and Manufacturing Processes >Surface Finish Optimization of Magnesium Pieces Obtained by Dry Turning Based on Taguchi Techniques and Statistical Tests
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Surface Finish Optimization of Magnesium Pieces Obtained by Dry Turning Based on Taguchi Techniques and Statistical Tests

机译：基于Taguchi技术和统计试验的干车削镁件的表面粗糙度优化。

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Magnesium is one of the lightest metallic materials and is used in industries such as aeronautics or aerospace because of its excellent weight to resistance ratio. The surface finish is a key quality characteristic in dry turning of magnesium pieces and is often affected by multiple factors within the machining process. Factors such as feed rate, cutting speed, tool coatings, and the interactions among these were investigated in this experimental study. The objectives of this work were to identify the main factors that influence the dry turning of magnesium and to select the optimal manufacturing conditions that result in minimum surface roughness. To achieve these objectives, the “smaller-the-better” characteristic from the Taguchi method was applied to the average roughness R a . Using an orthogonal experimental design approach, the signal-to-noise (S/N) ratio was used to quantify the amount of variation present in the surface roughness. Then, graphical exploratory data analysis was conducted, and the variability in the S/N ratio of surface roughness was modeled via analysis of variance (ANOVA) fixed-effect analysis and Snedecor's F-tests. This statistical modeling, together with Least Significant Difference testing permitted different combinations of cutting conditions to be classified into two groups: (I) optimal combinations and (II) the remaining combinations.View full textDownload full textKeywordsANOVA, Least Significant Difference test, Magnesium, Optimization, Signal-to-noise, Snedecor's F-test, Surface finish, Taguchi techniques, TurningRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10426914.2010.544822
机译：镁是最轻的金属材料之一，由于其优异的重量电阻比，因此被用于航空航天等行业。表面光洁度是镁片干法车削的关键质量特征，通常在加工过程中会受到多种因素的影响。在这项实验研究中，研究了诸如进给速度，切削速度，工具涂层以及它们之间的相互作用等因素。这项工作的目的是确定影响镁干法车削的主要因素，并选择能够使表面粗糙度最小的最佳制造条件。为了实现这些目标，将Taguchi方法的“更好”特性应用于平均粗糙度R a 。使用正交实验设计方法，信噪比（S / N）用于量化表面粗糙度中存在的变化量。然后，进行图形化探索性数据分析，并通过方差分析（ANOVA）固定效应分析和Snedecor的F检验对表面粗糙度的信噪比变化进行建模。这种统计模型与最低有效差检验一起，可将切削条件的不同组合分为两类：（I）最佳组合和（II）其余组合。查看全文下载全文关键词，信噪比，Snedecor的F测试，表面处理，田口技术，TurningRelated var addthis_config = {ui_cobrand：“泰勒和弗朗西斯在线”，servicescompact：“ citeulike，netvibes，twitter，technorati，delicious，linkedin，facebook，stumbleupon ，digg，google，more“，发布号：” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10426914.2010.544822

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