Multi-response optimization of magnetic field assisted EDM through desirability function using response surface methodology

Abstract

Magnetic field assisted electrical discharge machining (MFAEDM) is the modification of in conventional EDM process by use of magnetic field on EN-31. This article explain the application of response surface methodology to analyzes the effect of various process parameters such as Ton, Toff and Ip on performance measures such as material removal rate (MRR), electrode wear rate (EWR) and overcut (OC). Analysis of variance was used to check the adequacy of response surface model and significance of process parameters on performance measures. Multi-objective desirability function has been applied to obtain the optimal process parameter settings. Thereafter, machined surface of EN-31 characterized through SEM and EDX. The novelty of this paper is to improve the strategies for flushing the debris which remain clogged in standard EDM in-between machining gap that will interrupts the regular discharge conditions and reduces cutting rate as well as deteriorate the surface characteristics.

Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments

“…toughness and hardness of welded joints, are significantly affected by welding parameters and it is very clear from previous research work that toughness and hardness of IS 2062 steel weldments is I considerably influenced by arc voltage and wire feed speed [11]. In regression analysis [12] as expressed by Eq. (1), an experimental mathematical model was generated in between the toughness, hardness, and independents variable [13] and check for its adequacy.…”

Utilizing multiple criteria decision-making optimization methods to machine LM25Al/VC material under electro-discharge machining processes

“…The electro-discharge machining (EDM) process is a non-conventional and non-contact operation that is used in industry for high-precision products, especially in manufacturing industries such as the aerospace and automotive industries, communication, and biotechnology industries [1][2][3]. Most of those industries employed materials with superior properties like high corrosion and wear resistance, low cost, low weight and good strength.…”

A novel TOPSIS linear programming model based on response surface methodology for determining optimal mixture proportions of lightweight concrete blocks containing sugarcane bagasse ash

“…RSM reduces experimental time and expense by systematically discovering the optimal values for independent variables [ 21 , 22 ]. RSM is one of the optimization methods that is widely used to solve MRO problems [ [23] , [24] , [25] ].…”