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首页> 外文期刊>Journal of Computational and Applied Research in Mechanical Engineering (JCARME) >Study on tool wear and surface roughness in end milling of particulate aluminum metal matrix composite: Application of response surface methodology
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Study on tool wear and surface roughness in end milling of particulate aluminum metal matrix composite: Application of response surface methodology

机译:颗粒铝金属基质复合材料底铣床磨损和表面粗糙度研究:响应面方法的应用

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Metal matrix composites have been widely used in industries, especially aerospace industries, due to their excellent engineering properties. However, it is difficult to machine them because of the hardness and abrasive nature of reinforcement elements like silicon carbide particles (SiCp).In the present study, an attempt has been made to investigate the influence of spindle speed (N), feed rate (f), depth of cut (d) and various %wt. of silicon carbide (S) manufactured through stir cast route on tool flank wear and surface roughness during end milling of LM25 Al-SiCp metal matrix composites. Statistical models based on second order polynomial equations were developed for the different responses. Analysis of variance (ANOVA) was carried out to identify the significant factors affecting the tool flank wear and surface roughness. The contour plots were generated to study the effect of process parameters as well as their interactions. The process parameters are optimized using desirability-based approach response surface methodology.
机译:由于其优秀的工程特性,金属基质复合材料已广泛用于行业,尤其​​是航空航天等行业。然而,由于碳化硅颗粒(SICP)等加强元件的硬度和磨蚀性,难以加工它们。在本研究中,已经尝试研究主轴速度(n),进料速率的影响( f),切割深度(d)和各种%wt。通过在LM25 Al-SiCP金属基质复合材料的端铣床上通过搅拌铸件制造的碳化硅通过搅拌浇注和表面粗糙度制造。基于二阶多项式方程式的统计模型用于不同的反应。进行了方差分析(ANOVA),以确定影响工具侧翼磨损和表面粗糙度的重要因素。生成轮廓图以研究过程参数的影响以及它们的相互作用。使用基于期望的方法响应表面方法进行优化过程参数。

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