ORIGINAL ARTICLE

The International Journal of Advanced Manufacturing Technology

, Volume 32, Issue 11, pp 1115-1124

First online:

A surface roughness prediction model for hard turning process

  • Dilbag SinghAffiliated withMechanical Engineering Department, Indian Institute of Technology, Delhi
  • , P. Venkateswara RaoAffiliated withMechanical Engineering Department, Indian Institute of Technology, Delhi Email author 

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Abstract

An experimental investigation was conducted to determine the effects of cutting conditions and tool geometry on the surface roughness in the finish hard turning of the bearing steel (AISI 52100). Mixed ceramic inserts made up of aluminium oxide and titanium carbonitride (SNGA), having different nose radius and different effective rake angles, were used as the cutting tools. This study shows that the feed is the dominant factor determining the surface finish followed by nose radius and cutting velocity. Though, the effect of the effective rake angle on the surface finish is less, the interaction effects of nose radius and effective rake angle are considerably significant. Mathematical models for the surface roughness were developed by using the response surface methodology.

Keywords

Effective rake angle Hard turning Nose radius Surface finish