Optimization of Cutting Conditions for Surface Roughness in VMC 5-Axis

• Published in: Materials science forum Vol. 969; pp. 631 - 636
• Main Authors: Patil, Arun, Rudrapati, Ramesh
• Format: Journal Article
• Language: English
• Published: Pfaffikon Trans Tech Publications Ltd 30.08.2019
• Subjects: Algorithms; Automobile industry; Automotive engineering; Automotive parts; Economic analysis; Five axis; Machine tools; Machining centres; Metal cutting; Milling (machining); Numerical controls; Optimization; Parameters; Response surface methodology; Surface roughness; Vertical milling machines; Milling Parameters; Response Surface Methodology; Milling; VMC Five-Axis; Jaya Algorithm
• ISSN: 0255-5476; 1662-9752; 1662-9752
• DOI: 10.4028/www.scientific.net/MSF.969.631

Vertical machining center (VMC) five-axis is advanced metal cutting process which used tomachine advanced materials for creating parts for industries like die, automotive, aerospace, machinerydesign, etc. Input parameters selection very important in VMC-five axis to obtain better surface finishon milled part and enhanced machining economics. In the present work, experimental analysis has beenplanned to study the significances of milling parameters on quality response, surface roughness (Ra) ofD3 steel. The experiments have been planned on D3 steel in VMC five axis as per Box-Behnken designof response surface methodology (RSM). Modeling and optimization have been done by hybrid RSMand Jaya optimization algorithm. The factor effects on Ra has been studied by analysis of signal-tonoise ratio. The concluding remarks has been drawn from the study