Analysis of process parameters in wire electric discharge machining of gear cutting process using entropy grey relational analysis approach. (2017)

• Record Type: Journal Article
• Authors: Mohapatra, Kasinath Das; Dash, Rupalika; Sahoo, Susanta Kumar
• Is Part Of: International journal of manufacturing research. Volume 12:Number 4(2017)
• Page Start: 423
• Page End: 443
• Publication Date: 2017
• Subjects: brass -- entropy -- factorial -- gear -- Kerf -- wear -- wire EDM -- Titanium; Manufacturing processes -- Periodicals; Manufacturing processes -- Automation -- Periodicals; Production engineering -- Periodicals; Factory management -- Periodicals; 670.5
• Languages: English
• ISSNs: 1750-0591

Abstract

The present paper focuses on optimisation of response parameters in a gear cutting process by wire EDM using a hybrid entropy GRA approach. The objective of the present work is to analyse the process parameters and to study the effects and optimise the process in order to produce high quality gears. The experiment was conducted in wire EDM machine by full factorial design of experiments having 64 numbers of combinations. Titanium was taken as the work-piece material with brass as the tool electrode and distilled water as dielectric. The experiment was carried out by taking three process parameters at four different levels each. Four response parameters, i.e., MRR, kerf width, wire wear rate and tooth width error (TWE) were obtained from the experiment and the outputs were optimised by using the hybrid approach to get an optimum setting from these combinations. The optimum settings obtained endorses to produce high quality gears in near future. [Received 9 August 2016; Revised 29 March 2017; Accepted 29 March 2017]