Investigation of the effect of process parameters on the surface roughness of AISI 1040 steel in CNC turning – ANFIS modeling

Authors

  • Sunny V. Patel M.E. (Production Engineering) student, Mechanical Engineering Department, LDRP-ITR,Gandhinagar, Gujarat, India
  • Kiran A. Patel Asst. Professor, Mechanical Engineering Department, LDRP-ITR, Gandhinagar, Gujarat, India

Keywords:

Turning Operation, Surface Roughness, ANFIS, Prediction, CNC

Abstract

Many manufacturing industries involve machining operations. In metal cutting the turning process
is one of the most fundamental cutting processes used. Surface finish and dimensional tolerance, are used to
determine and evaluate the quality of a product, and are major quality attributes of a turned product. In this
paper, an attempt has been made to investigate the effect of cutting parameters cutting speed, feed rate and
depth of cut on surface roughness. The turning operation is carried out on CNC Machine and the workpiece
material used is AISI 1040 Steel. First of all trial experiments are carried out to decide the levels of different
parameters and then L27 orthogonal array has been used for experiments. ANFIS (Adaptive Neuro Fuzzy
Inference System) tool in MATLAB software has been used to predict the surface roughness and results show
good agreement between the measured value and predicted value.

Published

2018-03-25

How to Cite

Sunny V. Patel, & Kiran A. Patel. (2018). Investigation of the effect of process parameters on the surface roughness of AISI 1040 steel in CNC turning – ANFIS modeling. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 1718–1727. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2977