Study on tool wear and surface roughness in end milling of particulate aluminum metal matrix composite: Application of response surface methodology
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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DOI：
10.22061/jcarme.2012.35
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发表时间：
2012-09
期刊：
影响因子：
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通讯作者：
R. Arokiadass;K. Palaniradja;N. Alagumoorthi
中科院分区：
文献类型：
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作者：
R. Arokiadass;K. Palaniradja;N. Alagumoorthi
金属基复合材料具有优良的工程性能，在工业领域特别是航空航天领域得到了广泛的应用。然而，由于碳化硅颗粒（SiCp）等增强元素的硬度和耐磨性，使其难以加工。研究了搅拌铸造法制备的SiC（S）对LM 25 Al-SiCp金属基复合材料端铣后刀面磨损和表面粗糙度的影响。基于二阶多项式方程的统计模型，开发了不同的响应。进行方差分析（ANOVA），以确定影响刀具后刀面磨损和表面粗糙度的显着因素。生成等值线图以研究工艺参数的影响及其相互作用。工艺参数采用基于响应面法的可行性方法进行优化。
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.