Parameteric Optimization of Surface Roughness in End Milling of Aluminium Rock Dust Composite

Abstract:

Recent developments in the composite materials with high performance increase its range of application most widely but the major disadvantage of these novel materials is machining. The selection of proper process parameters plays an important role in distinguishing machining quality. This work mainly concentrates on the selection of process parameter for minimizing the surface roughness in end milling operation for the newly developed aluminium rock dust metal matrix composite. Taguchi method is used to design and accordingly L27 orthogonal array with five factors viz particle size, weight percentage, cutting speed, feed and depth of cut each at three levels is employed. The experiments were performed in a CNC vertical machining center and corresponding surface roughness values are measured. From the collected data, ANOVA is performed and observations reveal that feed rate influence more on surface roughness followed by particle size, depth of cut, weight percentage and cutting speed.

• Periodical: Applied Mechanics and Materials (Volumes 813-814)
• Pages: 382-387
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.813-814.382
• Online since: November 2015
• Authors: SOORYA PRAKASH K*, S. Sudhagar, M. Sakthivel, P.M. Gopal
• Keywords: ANOVA, Composites, End Milling, Optimization, Taguchi

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