Parametric optimization for surface roughness, kerf and MRR in wire electrical discharge machining (WEDM) using Taguchi design of experiment

Ikram, Adeel; Mufti, Nadeem Ahmad; Saleem, Muhammad Qaiser; Khan, Amir

doi:10.1007/s12206-013-0526-8

Cited by 110 publications

(45 citation statements)

References 14 publications

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“…Results revealed that pulse on-time (Pon) and pulse off-time (Poff) were found to be the influential factors for MRR whereas Pon and flushing pressure were the major contributing parameters for Ra. Ikram [6] tried various combinations of seven input WEDM parameters namely; wire feed, flushing pressure, Pon, Poff, open gap voltage, wire tension and servo voltage for cutting of D2 die steel. Pon was found to be the most contributing factor for both MRR and Ra.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, an optimization technique has become an essential tool in finding the exact com-bination of process parameters. Many researchers used various optimization techniques in order to optimize the process parameters of WEDM [6,17,21]. In addition to these, Kumar [8] used taguchi method while investigating the effects of cutting parameters on material removal rate for EN-42 using WEDM process.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Effect of Wire Electric Dischage Machining Process Parameters for the Formation of High Speed Steel Form Tool

Ishfaq¹,

Mufti²,

Ahmad³

et al. 2018

Adv. Sci. Technol. Res. J.

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The use of form tools is growing in industry, owing to their inherent advantage of improving productivity. However, the accurate formation of form tool profile is a really tedious task. In this research work, wire electric discharge machining (WEDM) process has been used for the generation of a form tool. Pulse on-time, pulse off-time, servo voltage, wire tension, flushing pressure have been considered as input parameters, whereas tool geometry (clearance angle, included angle), surface roughness and material removal rate are the selected responses. Response surface methodology (RSM) (Box Bhenken experimental design) technique has been used for design of experiments. Analysis of Variance (ANOVA) has shown that pulse on-time and pulse off-time are the two influential control factors for material removal rate (MRR), surface roughness (Ra), clearance angle and included angle. Contour plot analysis has been performed to find out the optimal ranges of the most influential control factors for each response characteristics.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Effect of Wire Electric Dischage Machining Process Parameters for the Formation of High Speed Steel Form Tool

Ishfaq¹,

Mufti²,

Ahmad³

et al. 2018

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

show abstract

“…They have also concluded that the pulse current has been the most significant parameter that effects MRR and then by the gap voltage and T on. Ikram A et al [13] used ANN to optimize the process parameters while varying T on , T off , wire feed velocity, wire tension, voltage and pressure. Taguchi technique used to optimize the responses like SR, MRR and kerf.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Optimization of Process Parameters in EDM of RENE 80 Using Taguchi Method

Sugunakar¹,

Kumar²,

Markandeya³

2017

BIJIEMS

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“…The results showed that pulse on time is the most significant factors that affects the surface roughness value. Ikram et al [13] investigated WEDM machining parameters which are wire feed velocity, wire tension, pulse on time, dielectric pressure, pulse off time, open voltage and servo voltage, to the surface roughness value using Taguchi approach. The experiment was conducted based on Taguchi L18 orthogonal array and the experiment results were analyzed based on analysis of variance (ANOVA) and signal-to-noise (S/N) ratio analysis.…”

Section: Introductionmentioning

confidence: 99%

Experimental study of surface roughness in Electric Discharge Machining (EDM) based on Grey Relational Analysis

Deris¹,

Zain²,

Sallehuddin³

et al. 2016

MATEC Web Conf.

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Abstract. Electric Discharge Machining (EDM) is one of the modern machining which is capable in handling hard and difficult-to-machine material. The successful of EDM basically depends on its performances such as surface roughness (Ra), material removal rate (MRR), electrode wear rate (EWR) and dimensional accuracy (DA). Ra is considered as the most important performance due to it role as a technological quality measurement for a product and also a factor that significantly affects the manufacturing process. This paper presents the experimental study of surface roughness in die sinking EDM using stainless steel SS316L with copper impregnated graphite electrode. The machining experimental is conducted based on the two levels full factorial design of design of experiment (DOE) with five machining parameters which are peak current, servo voltage, servo speed, pulse on time and pulse off time. The results were analyzed using grey relational analysis (GRA) and it was found that pulse on time and servo voltage give the most influence to the Ra value.

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Parametric optimization for surface roughness, kerf and MRR in wire electrical discharge machining (WEDM) using Taguchi design of experiment

Cited by 110 publications

References 14 publications

Analysis of the Effect of Wire Electric Dischage Machining Process Parameters for the Formation of High Speed Steel Form Tool

Analysis of the Effect of Wire Electric Dischage Machining Process Parameters for the Formation of High Speed Steel Form Tool

Analysis and Optimization of Process Parameters in EDM of RENE 80 Using Taguchi Method

Experimental study of surface roughness in Electric Discharge Machining (EDM) based on Grey Relational Analysis

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