Pages: 70-76
Date of Publication: 12-Apr-2018
MILLING OF STIR CAST ALUMINIUM BORON CARBIDE METAL MATRIX COMPOSITE-A LITERATURE REVIEW
Author: S. Mohamed Hussain, P. Muruganantham, R. Rekha
Category: Engineering, Science and Mathematics
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Abstract:
In this study, machining parameters were evaluated and optimized with Genetic Algorithm in milling Al-B4C (with weight composition of Al-85%, B4C-15%) reinforced metal matrix composites (MMCs) produced by stir casting. we found B4C with less composition (10-15%) gives best result. Carbide tools were used under dry cutting conditions for milling. The milling parameters such as feed rate, spindle speed, and depth of cut were optimized based on multiple performance characteristics including MRR, cutting force, and surface roughness. Furthermore, average surface roughness of milled face is good at high cutting speed, low feed rate and high depth of cut. MRR increases with feed rate and depth of cut. Cutting force is optimum at medium factor level.
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