Wire electrical discharge machining (WEDM) review on current optimization research trends

Ukey, Kamal; Sahu, Anil R.; Gajghate, Sameer Sheshrao; Behera, Ajit; Limbadri, C.; Majumder, Himadri

doi:10.1016/j.matpr.2023.06.113

Cited by 8 publications

(2 citation statements)

References 50 publications

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“…Wire of predetermined diameters serves as the electrode in the WED machine. The non-stationary electric discharge that forms between the travelling wire and the work piece is what causes the material to be removed from the work piece (Ukey et al, 2023). The WEDM method involves applying an appropriate voltage across a tool and work piece that are separated by a dielectric fluid.…”

Section: Wire Electric Discharge Machiningmentioning

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: Wire Electric Discharge Machiningmentioning

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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“…Wire electrical discharge machining (WEDM) is one of the key thermoelectric processes of cutting materials, irrespective of their high hardness and strength properties [5,6], such as high-carbon steels [7,8], stainless steel 316 (AISI 316) [9], etc. In WEDM, the cutting process is carried out by means of eroding the workpiece (as a cathode) with a travelling thin wire tensioned between two guide rollers (as an anode) by initiating a series of sparks between the electrodes in the presence of a dielectric medium [10,11]. One of the advantages of WEDM is to process difficult-to-cut materials, irrespective of their hardness, with acceptable surface properties and accurate dimensions, which promotes WEDM as a prime cutting method to produce punch dies and molds of high-strength materials [1,8,10].…”

Section: Introductionmentioning

confidence: 99%

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

Aboueleaz,

Naeim,

Abdelgaliel

et al. 2023

JMMP

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This research investigates the multi-response of both material removal rate (MRR) and surface roughness (Ra) for the wire electrical discharge machining (WEDM) of two stainless steel alloys: AISI 304 and AISI 316. Experimental results are utilized to compare the machining responses obtained for AISI 316 with those obtained for AISI 304, as previously reported in the literature. The experimental work is conducted through a full factorial experimental design of five running parameters with different levels: applied voltage, transverse feed, pulse-on/pulse-off times and current intensity. The machined workpieces are analyzed using an image processing technique in order to evaluate the size of cut slots to allow the calculation of the MRR. Followed by the characterization of the surface roughness along the side walls of the slots. Different mathematical regression techniques were developed to represent the multi-response of both materials using the MATLAB regression toolbox. It was found that WEDM process parameters have a fuzzy influence on the responses of both material models. This allowed for multi-objective optimization of the regression models using four different techniques: multi-objective genetic algorithm (MOGA), multi-objective pareto search algorithm (MOPSA), weighted value grey wolf optimizer (WVGWO) and osprey optimization algorithm (OOA). The optimization results reveal that the optimal WEDM parameters of each response are inconsistent to the others. Hence, the optimal results are considered a compromise between the best results of different responses. Noteworthily, the multi-objective pareto search algorithm outperformed the other candidates. Eventually, the optimal results of both materials share the high voltage, high transverse feed rate and low pulse-off time parameters; however, AISI 304 requires low pulse-on time and current intensity levels while AISI 316 optimal results entail higher pulse-on time and current levels.

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Comparison of MRR of different WEDM-machined materials

Mouralova,

Benes,

Fries

2024

Int J Adv Manuf Technol

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Wire electrical discharge machining (WEDM) review on current optimization research trends

Cited by 8 publications

References 50 publications

An Extensive Review of Various Optimization Techniques for Electric Discharge Machining

An Extensive Review of Various Optimization Techniques for Electric Discharge Machining

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

Comparison of MRR of different WEDM-machined materials

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