Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method

By Siba Sankar Mahapatra, A. Patnaik. 2007

558 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/ee44fae25b92b276009fdba6e3629bddd57f5d6d

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In Electrical and Electronic Engineering

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In Mechanical Engineering

Citations in the corpus

Effects of process parameters on material removal rate in WEDM (2009, background): “To evaluate the effects of machining parameters on performance characteristic (MRR), and to identify the performance characteristic under the optimal machining parameters, a specially designed experimental procedure is required.”
Multiple process parameter optimization of wire electrical discharge machining on Inconel 825 using Taguchi grey relational analysis (2013, unknown): “[2] explained the method of optimization of WEDM process parameters using Taguchi method.”
Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique (2010, methodology): “Mahapatra and Patnaik (2007) applied Taguchi method and Genetic Algorithm to obtain an optimal parametric combination to achieve desired quality of the machined product.”
Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007-2011) (2012, methodology): “Mahapatra and Patnaik (2007) employed GA technique to optimize the process parameters of WEDM with multiple objectives such as discharge current, pulse duration, pulse frequency, wire speed, wire tension, and dielectric flow.”
Study on mechanical and erosion wear behavior of hybrid composites using Taguchi experimental design (2009, unknown): “This procedure has been successfully applied for parametric appraisal in different process optimization problems [18,19].”
Investigation of surface integrity, material removal rate and wire wear ratio for WEDM of Nimonic 80A alloy using GRA and Taguchi method (2014, background): “2 [11] D2 tool steel Taguchi's L27 orthogonal array, Non-linear regression analysis Discharge current, Pulse duration, Pulse frequency, wire feed, wire tension, Dielectric flow rate MRR, Surface roughness, kerf width Discharge current, pulse duration, dielectric flow rate and the interaction between”