Investigation of cutting parameters of surface roughness for brass using artificial neural networks in computer numerical control turning

Abstract

Surface roughness, an indicator of surface quality, is one of the most specified customer requirements in a machining process. For efficient use of machine tools, optimum cutting parameters (speed, feed and depth of cut) are required. So it is necessary to find a suitable optimisation method that can find optimum values of cutting parameters for minimising surface roughness. The turning process parameter optimisation is highly constrained and non-linear. In this work, the machining process has been carried out on brass C26000 material in a dry cutting condition in a computer numerical control turning machine. Surface roughness has been measured using a surface roughness tester. To predict the surface roughness, an artificial neural network (ANN) model has been designed through a back propagation network using Matlab 7 software for the data obtained. Comparison of the experimental data and ANN results show that there is no significant difference, and the ANN has been used confidently. The results obtained conclude that the ANN is reliable and accurate for solving the cutting parameter optimisation.

Keywords:

• CNC turning process
• non-ferrous material
• surface roughness
• artificial neural network (ANN)
• optimisation

Additional information

Notes on contributors

C Natarajan

Chinnasamy Natarajan is currently working as Assistant Professor in the department of Mechanical Engineering in Sri Ramakrishna Engineering College, India. He has 15 years of teaching experience, and his areas of interests are machining, metrology and optimisation. He has published three papers and communicated two papers in international journals.

S Muthu

Dr S. Muthu completed his BE in Production Engineering in 1983, ME in Production Engineering in 1985 and PhD in Mechanical Engineering in 2003. He has 25 years of teaching experience in various positions. He has 40 publications in international journals, national journals, conferences and seminars to his credit. He is a life member of Institution of Engineers, Indian Society for Technical Education and Indian Institution of Industrial Engineering. Currently he is working as Professor in Sri Eshwar College of Engineering, Coimbatore, India.

P Karuppuswamy

Dr P. Karuppuswamy completed his BE in Mechanical Engineering in 1994, ME in Production Engineering in 2001 and PhD in Mechanical Engineering in 2009. He has 14 years of teaching and 7 years of industrial experience. He has published 10 papers in international journals, and 18 papers in national and international conferences. He is a certified Lead Auditor for QMS 9001:2008. Currently he is working as Professor and Head in Sri Ramakrishna Engineering College, India.