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 40 publications

(10 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 advantages of PAC process are the abilities of cutting all electrically conductive materials and high alloy steel materials with medium and large thicknesses at high cutting speed. The design of experiment (DOE) is conducted to study the selection of suitable process variables and their influence in evaluating the part quality commonly [1][2][3][4][5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Parameter Optimization Design of Plasma Arc Machining SS 304 Alloy by Means of Probabilistic Multi – objective Optimization

Zheng¹,

Yu²

2023

Mater. Plus

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Plasma arc machining is an unconventional machining process, which is widely used to machine intricate part profiles of alloys with difficulty in general machine. In general, the surface roughness, kerf ratio, and material removal rate (MRR) are used as evaluation targets of the production process and quality of the machining samples; the plasma arc cutting parameters, such as arc voltage, standoff distance, cutting speed, and plasma offset, are employed as the input parameters for the cutting of SS 304 alloy machined at two different types of nozzles (130 A and 200 A). The parameter optimization design of plasma arc machining is a typical of optimal problem with multiple objectives. The employment of a rational multi – objective approach is quite important to the designers for the parameter optimization design of plasma arc machining. In this article, the probabilistic multi – objective optimization is utilized to conduct the parameter optimization design of plasma arc machining SS 304 alloy of thickness 6 mm, which is designed according to a mixed Taguchi design of L18 orthogonal array. The optimal parameters of plasma arc machining SS 304 alloy from the designed experiment for Nozzle 1 (130 A) are arc voltage at 136V, cutting speed of 2000mm/min, standoff distance of 2mm, and plasma offset of 2.25mm; the optimized parameters of plasma arc in machining SS 304 alloy from the designed experiment for Nozzle 2 (200 A) are arc voltage at 133V, cutting speed of 2000 mm/min, standoff distance of 2 mm, and plasma offset of 1.25mm. The results indicate the reasonability of the approach.

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

Cited by 40 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

Parameter Optimization Design of Plasma Arc Machining SS 304 Alloy by Means of Probabilistic Multi – objective Optimization

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