To Estimate The Range Of Process Parameters For Optimization Of Surface Roughness & Material Removal Rate In CNC Milling

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-10
Year of Publication : 2013
Authors : Mandeep Chahal , Vikram Singh , Rohit Garg , Sudhir Kumar

Citation 

Mandeep Chahal , Vikram Singh , Rohit Garg , Sudhir Kumar. "To Estimate The Range Of Process Parameters For Optimization Of Surface Roughness & Material Removal Rate In CNC Milling". International Journal of Engineering Trends and Technology (IJETT). V4(10):4556-4563 Oct 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

CNC milling has become one of the most competent, productive and flexible manufacturing methods, for complicated or sculptured surfaces. With the rising demands of modern engineering products, the control of surface texture together with high material removal rate has become more important. In this paper, the effects of various process parameters of CNC Milling like Spindle Speed (N), table feed rate (FR), depth of cut (DOC), step over (SO) and coolant pressure (CP) have been investigated to reveal their impact on surface roughness and material removal rate of hot die steel (H-11) using one variable at a time approach(OFAT). The experimental studies were performed on SURYA VF30 CNC VS machine. The processing of the job has been done by solid carbide four flute end-mill tools under finishing conditions. Prediction of surface roughness is very difficult using mathematical equations. The surface roughness (SR) increases with increase of table feed rate (FR), depth of cut (DOC), step over(SO) and decreases with increase in spindle speed(N) and coolant pressure(CP) & the material removal rate (MRR) directly increases with increase in spindle speed (N), table feed rate (FR) , depth of cut (DOC) and step over(SO).

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Keywords
CNC Milling; OFAT; Step Over; Coolant Pressure; Surface Roughness; Material Removal Rate