Parametric optimization of non-traditional machining processes using multi-criteria decision making techniques: literature review and future directions

Kalita, Kanak; Chakraborty, Santonab; Ghadai, Ranjan Kumar; Chakraborty, Shankar

doi:10.1007/s41939-022-00128-7

Cited by 21 publications

(4 citation statements)

References 196 publications

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“…The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach was created on the premise that the ideal alternative should be the furthest away from a matching negative-ideal solution while still being the closest to the ideal solution. 41 Both hypothetical positive and negative answers are calculated using the technique. The TOPSIS method was improved due to the concept of relative closeness determination.…”

Section: Methodsmentioning

confidence: 99%

Optimal shape selection of pseudo-rigid-body model compliant centrifugal clutch manufactured by thermoplastics using TOPSIS approach

Pon

Subramanian

Gopal

et al. 2023

Journal of Thermoplastic Composite Materials

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This paper discusses and analyses a compliant centrifugal clutch with different materials. Compliant centrifugal clutch specimens required for investigation are prepared by an injection moulding process. Experiments are conducted based on the experiments designed as per Taguchi’s Design of Experiment (DoE); an L27 Orthogonal Array (OA) is formulated and a multi-response optimisation approach Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) is adopted for optimising torque carrying capacity, wear rate and, contact temperature. Experiments are conducted for three different polymer materials viz., polypropylene (PP), Delrin (DE) and polyurethane (PU) with three different profiles, circular (CR), elliptical (EL) and square fillet (SF), along with varying rotating speeds. The outcome shows that by changing the clutch material and flexure profiles, a substantial variation in torque carrying capacity, wear rate and contact temperature is observed.

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Section: Methodsmentioning

confidence: 99%

Optimal shape selection of pseudo-rigid-body model compliant centrifugal clutch manufactured by thermoplastics using TOPSIS approach

Pon

Subramanian

Gopal

et al. 2023

Journal of Thermoplastic Composite Materials

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“…They are mathematically quite simple and easy to implement helping the concerned engineers in optimizing the processes. Kalita et al (2022) recently reviewed the applications of various MCDM techniques for solving parametric optimization problems of many of the nontraditional machining processes and identified GRA and TOPSIS as the two most popular tools employed for the said purpose. A separate literature review of the MCDM applications for optimizing only EDM processes along with identification of the experimental design plans employed, work materials machined, dielectrics used, process parameters considered along with their operational settings, measured response values and MCDM tools deployed is really scarce.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive review of parametric optimization of electrical discharge machining processes using multi-criteria decision-making techniques

Pendokhare,

Kalita,

Chakraborty

et al. 2024

Front. Mech. Eng.

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Optimization of electrical discharge machining (EDM) processes is a critical issue due to complex material removal mechanism, presence of multiple input parameters and responses (outputs) and interactions among them and varying interest of different stakeholders with respect to relative importance assigned to the considered responses. Multi-criteria decision making (MCDM) techniques have become potent tools in solving parametric optimization problems of the EDM processes. In this paper, more than 130 research articles from SCOPUS database published during 2013–22 are reviewed extracting information with respect to experimental design plans employed, materials machined, dielectrics used, process parameters and responses considered and MCDM tools applied along with their integration with other mathematical techniques. A detailed analysis of those reviewed articles reveals that the past researchers have mostly preferred Taguchi’s L9 orthogonal array as the experimental design plan; EDM oil as the dielectric fluid; medium and high carbon steels as the work materials; peak current and pulse-on time as the input parameters; material removal rate, tool wear rate and surface roughness as the responses; and grey relational analysis as the MCDM tool during conducting and optimizing EDM operations. This review paper would act as a data repository to the future researchers in understanding the stochastic behaviour of EDM processes and providing guidance in setting the tentative operating levels of varying input parameters along with achievable response values. The extracted dataset can be treated as an input to any of the machine learning algorithms for subsequent development of appropriate prediction models. This review also outlines potential future research avenues, emphasizing advancements in EDM technology and the integration of innovative multi-criteria decision-making tools.

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“…The workpiece and the tool are submerged in dielectric fluid while being separated by a very small gap during EDM cutting. The material on the workpiece’s surface reaches extreme temperatures due to the discharge energy during the spark, which causes the material to burn [ 8 , 9 ]. The residue is then flushed away by the dielectric medium.…”

Section: Introductionmentioning

confidence: 99%

Electric Discharge Machining on Stainless Steel Using a Blend of Copper and Fly Ash as the Electrode Material

et al. 2022

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In the current work, several composites made with fly ash reinforcements are used to conduct electrical discharge machining (EDM) on stainless steel that is commercially accessible. Four composites were prepared with 2.5 to 10% reinforcement of fly ash with steps of 2.5%, copper is used as the matrix material. The specimens were created using the powder metallurgy method, which involved compaction pressures of 450 MPa and 900 °C for 90 min of sintering. The prepared composites are used as the electrode tool for EDM. EDM studies were carried out at two different current amplitudes (5A and 15A) by maintaining the Pulse on time (100 µs), Pulse off time (50 µs), and the depth of machining as 2 mm. The findings show that the addition of more fly ash to the copper matrix increased the material removal rate when cutting the SS304 plate and had a negative impact on the tool. The composite loses its ability to transfer heat during machining as the level of fly ash increases, raising the temperature in the copper matrix and causing the copper to melt more quickly at the electrode interface during machining, leading to increased electrode wear. While tool life was reduced because of the increase in current amplitude, machinability was enhanced.

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Parametric optimization of non-traditional machining processes using multi-criteria decision making techniques: literature review and future directions

Cited by 21 publications

References 196 publications

Optimal shape selection of pseudo-rigid-body model compliant centrifugal clutch manufactured by thermoplastics using TOPSIS approach

Optimal shape selection of pseudo-rigid-body model compliant centrifugal clutch manufactured by thermoplastics using TOPSIS approach

A comprehensive review of parametric optimization of electrical discharge machining processes using multi-criteria decision-making techniques

Electric Discharge Machining on Stainless Steel Using a Blend of Copper and Fly Ash as the Electrode Material

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