Multi-objective optimisation of electrical discharge machining for Inconel 825 using Taguchi-fuzzy approach

Payal, Himanshu; Maheshwari, Sachin; Bharti, Pushpendra S.; Sharma, S.

doi:10.1007/s41870-018-0102-7

Cited by 18 publications

(5 citation statements)

References 16 publications

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“…MRR and Ra. Taking dielectric fluid, pulse-on time, discharge current, duty cycle, gap voltage, tool electrode material and tool electrode lift time as the important parameters of an EDM process, Payal et al [17] applied Taguchi-fuzzy logic approach to obtain the optimal parametric combination in order to increase MRR and decrease Ra. Shrivastava and Pandey [28] adopted Taguchi-based regression analysis and particle swarm optimization technique in a laser cutting process of Inconel-718 sheet.…”

Section: Literature Reviewmentioning

confidence: 99%

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

Protim

Chakraborty

2019

YUGOSLAV J OPERATION

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In order to achieve higher dimensional accuracy along with better surface quality, the conventional machining processes have now-a-days being replaced by nontraditional machining (NTM) processes, because of their ability to generate intricate shape geometries on various advanced engineering materials. In order to exploit their fullest machining potential, it is often recommended to operate those NTM processes at their optimal parametric settings. Several optimization tools and techniques are now available which can be effectively applied to obtain the optimal parametric conditions of those processes. In this paper, Taguchi method and super ranking concept are integrated together to present an efficient optimization technique for simultaneous optimization of three NTM processes, i.e. electro-discharge machining process, wire electro-discharge machining process and electro-chemical discharge drilling process. The derived results are validated with the help of developed regression equations, which show that the proposed approach outperforms the other popular multi-response optimization techniques. Analysis of variance is also performed to identify the most influencing control parameters for the considered NTM processes. The developed response surface plots further help the process engineers in identifying the effects of various NTM process parameters on the calculated sum of squared rank values.

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Section: Literature Reviewmentioning

confidence: 99%

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

Protim

Chakraborty

2019

YUGOSLAV J OPERATION

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“…The optimal result is determined by the ranking method, and the maximum error of the optimal result is equal to 8.88%. and the ranking method is also introduced in many research results using GRA [7][8][9]. The popularity of application optimization techniques in solving multi-objective problems in machining methods has been shown [10] as per GRA technique which is the most popular method.…”

Section: Introdutionmentioning

confidence: 99%

Multi-Objective Decision Making For Z Coordinator and Overcut in µ - EDM process using Tungsten Carbide Electrode for machining of Titanium Alloy

Nguyen¹

2022

Journal of Machine Engineering

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“…The GRA approach was utilized for emphasizing the study for multiple performance characteristics. Payal et al [ 31 ] employed the Taguchi fuzzy integration for parametric optimization of EDM process with multiple response measures. A fuzzy model was formed through which the optimal blend of parameters was obtained on the basis of multi-performance fuzzy index values.…”

Section: Introductionmentioning

confidence: 99%

Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM

et al. 2021

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Titanium and its alloys exhibit numerous uses in aerospace, automobile, biomedical and marine industries because of their enhanced mechanical properties. However, the machinability of titanium alloys can be cumbersome due to their lower density, high hardness, low thermal conductivity, and low elastic modulus. The wire electrical discharge machining (WEDM) process is an effective choice for machining titanium and its alloys due to its unique machining characteristics. The present work proposes multi-objective optimization of WEDM on Ti6Al4V alloy using a fuzzy integrated multi-criteria decision-making (MCDM) approach. The use of MCDM has become an active area of research due to its proven ability to solve complex problems. The novelty of the present work is to use integrated fuzzy analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal situation (TOPSIS) to optimize the WEDM process. The experiments were systematically conducted adapting the face-centered central composite design approach of response surface methodology. Three independent factors—pulse-on time (Ton), pulse-off time (Toff), and current—were chosen, each having three levels to monitor the process response in terms of cutting speed (VC), material removal rate (MRR), and surface roughness (SR). To assess the relevance and significance of the models, an analysis of variance was carried out. The optimal process parameters after integrating fuzzy AHP coupled with fuzzy TOPSIS approach found were Ton = 40 µs, Toff = 15 µs, and current = 2A.

show abstract

Multi-objective optimisation of electrical discharge machining for Inconel 825 using Taguchi-fuzzy approach

Cited by 18 publications

References 16 publications

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

Multi-Objective Decision Making For Z Coordinator and Overcut in µ - EDM process using Tungsten Carbide Electrode for machining of Titanium Alloy

Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM

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