Experimental Determination of Cutting Forces and Surface Roughness when Turning 50CrV4 Steel (SAE 6150) and Modelling with the Artificial Neural Network Approach


Ulas H. B.

TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, vol.67, no.6, pp.869-879, 2014 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 67 Issue: 6
  • Publication Date: 2014
  • Doi Number: 10.1007/s12666-014-0410-y
  • Title of Journal : TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS
  • Page Numbers: pp.869-879
  • Keywords: Turning, Coated and uncoated carbide cutting tools, Cutting force, Surface roughness, Artificial neural network, TOOL STEELS, MACHINABILITY, PARAMETERS, WEAR, PERFORMANCE, CARBIDE, SPEED

Abstract

In this experimental study, 50CrV4 (SAE 6150) steel parts were subjected to machining test using coated and uncoated carbide cutting tools through single point turning operation. The turning tests were performed at various cutting parameters (cutting speed, feed rate and depth of cut). In the light of these parameters, cutting forces and surface roughness values obtained were determined. A suitable cutting force measurement dynamometer was used for measuring the three cutting force components. The surface roughness values were also measured. The results of experiments were modelled with artificial neural network system. The relation between the cutting forces and surface roughness values was defined.