Title: The fuzzy inference system approach to a multi-performance characteristic index for surface quality improvement in CNC end milling
Authors: Saurav Datta; Siba Sankar Mahapatra; Bharat Chandra Routara; Asish Bandyopadhyay
Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela, 769008, India. ' Department of Mechanical Engineering, National Institute of Technology, Rourkela, 769008, India. ' School of Mechanical Engineering, KIIT University, Bhubaneswar, 751024, India. ' Department of Mechanical Engineering, Jadavpur University, Kolkata, 700032, India
Abstract: Utility embedded fuzzy approach has been adopted for multiple surface quality optimisation of 6061 T4 Aluminium in CNC end milling operation. The purpose is to evaluate the most favourable process environment consisting of selected process parameters viz. spindle speed, feed and depth of cut in order to satisfy multiple requirements of surface integrity. Various surface roughness parameters have been taken into account with a focus to minimise all of them simultaneously. Utility concept has been adopted to convert individual surface roughness parameters into corresponding utility value which have been fed to a fuzzy inference system to obtain a multi-performance characteristic index (MPCI). MPCI has been optimised finally using Taguchi method. Detailed methodology of the proposed approach has been presented with an illustrative example followed by satisfactory result of confirmatory test.
Keywords: CNC milling; CNC machining; end milling; utility concept; fuzzy inference systems; FIS; Taguchi methods; surface quality; surface roughness; aluminium; spindle speed; feed; depth of cut; surface integrity.
International Journal of Experimental Design and Process Optimisation, 2011 Vol.2 No.3, pp.265 - 282
Available online: 24 Sep 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article