MCDM Optimization of Parameters for Wire-EDM Machined Stainless Steel using Hybrid RSM-TOPSIS, Genetic Algorithm and Simulated Annealing

Bagal, Dilip Kumar; Barua, Abhishek; Jeet, Siddharth; Satapathy, Pratyashi; Patnaik, Dulu

doi:10.35940/ijeat.a9349.109119

Cited by 25 publications

(2 citation statements)

References 10 publications

(16 reference statements)

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“…The Response Surface Methodology (RSM) is a collection of computational and numerical techniques that are suitable for exploring and illustrating problems when the result is subject to partiality depending on many input parameters (Bagal et al, 2019), which is explained with the help of Figure 5. The ultimate objective of this methodology, which is based on experimental design, is to assess industrial facilities' optimal performance with the least amount of experimental work.…”

Section: Response Surface Methodsmentioning

confidence: 99%

An Extensive Review of Various Optimization Techniques for Electric Discharge Machining

Singh,

Garg,

Sachdeva

2024

Prabha Materials Science Letters

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In this paper, an investigation of wire and electric discharge machining has been provided. Wider possibilities for the creation of composites and sophisticated materials were made possible by advances in machining science. As research in this area continues, more materials with complicated meteorological structures and strong mechanical resistance capabilities are emerging. Because of the exceptional strength, toughness, and hardness of these materials, advanced machining techniques are replacing traditional machining techniques in this industry. One unique type of advanced machining technique used in this research is electrical discharge machining. It has also been discussed how these machining methods might develop in the future. This paper serves as both a research tool and a step in that direction. The best settings for the processes outlined above will aid in boosting diverse sectors' output. The research on non-conventional machining processes with diverse optimisation strategies is presented in this review. The optimisation techniques taken into account for the current work were Taguchi's, artificial neural networks, particle swarm optimisation, response surface approach, grey connection analysis, and genetic algorithm.

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Section: Response Surface Methodsmentioning

confidence: 99%

An Extensive Review of Various Optimization Techniques for Electric Discharge Machining

Singh,

Garg,

Sachdeva

2024

Prabha Materials Science Letters

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“…A consistent increase in kerf width was observed with the rise in gap voltage for each graphite concentration Ishfaq et al (43) found that the most significant variable on the KW was the current. In another study, the WEDM method limitations influence upon the KW of SS (304) grade was investigated by Bagal et al (44) . According to the ANOVA findings, the most significant factor for the KW was T ON .…”

Section: Kerf Widthmentioning

confidence: 99%

WEDM Process Parameters Analysis and Optimization: A Review

Anwar,

Shather,

Khudhir

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

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Wire Electrical Discharge Machining (WEDM) represents a non-conventional machining approach that harnesses thermal electrical energy for the fabrication of intricate structures. WEDM machines excel in achieving precise dimensions and a polished surface finish. It finds frequent application in the machining of robust materials that pose challenges for conventional manufacturing methods due to issues like vibrations. Within this machining method, numerous process parameters and performance indicators come into play, prompting various studies and investigations into its intricacies. This paper presents a comprehensive overview of current research trends in WEDM, particularly focusing on parameters for enhancing performance, such as surface roughness (SR), material removal rate (MRR), and Kerf width (KW). Notably, several process parameters, including pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), contribute to the WEDM process. Additionally, various optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) are employed across diverse materials, encompassing alloys, superalloys, and composites. The findings of this study suggest the importance of considering various process parameters, such as pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), in the WEDM process. Moreover, the application of optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) is recommended. These recommendations aim to improve the understanding and optimization of WEDM processes, especially when applied to diverse materials, including alloys, superalloys, and composites.

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Parametric Optimization Based on Mechanical Characterization of Fused Deposition Modelling Fabricated Part Using Utility Concept

Bagal

Barua²,

Pattanaik

et al. 2020

Lecture Notes in Mechanical Engineering

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MCDM Optimization of Parameters for Wire-EDM Machined Stainless Steel using Hybrid RSM-TOPSIS, Genetic Algorithm and Simulated Annealing

Cited by 25 publications

References 10 publications

An Extensive Review of Various Optimization Techniques for Electric Discharge Machining

An Extensive Review of Various Optimization Techniques for Electric Discharge Machining

WEDM Process Parameters Analysis and Optimization: A Review

Parametric Optimization Based on Mechanical Characterization of Fused Deposition Modelling Fabricated Part Using Utility Concept

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