Multi-parametric Optimization of Wire-EDM of Inconel 718 Super Alloy Using Taguchi-Coupled WASPAS Method

Bagal, Dilip Kumar; Mahapatra, Santanu Kumar; Barua, Abhishek; Jeet, Siddharth; Pattanaik, Ajit Kumar; Patnaik, Dulu

doi:10.1007/978-981-15-7779-6_40

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…In essence, for turning process parameter optimization two main approaches can be distinguished: modeless and model-based approaches. The first approach is usually based on the application of Taguchi's robust design methodology (Kumar et al, 2018;Dutta & Narala, 2021;Jadeja & Zala, 2021;Vijay HamaSur & Abdalrahman, 2023) and its hybridization with other methods, such as PCA, GRA, utility concept, etc., for handling multi-response optimization problems (Bagal et al, 2019;Viswanathan et al, 2020;Sristi et al, 2022;Dragičević et al, 2023). Likewise, a number of MCDM and fuzzy MCDM methods are being proposed for determining optimized turning parameters with respect to multiple criteria of different relative importance (Prakash & Krishnaiah, 2017;Thien et al, 2021;Chowdhury et al, 2023;Haoues et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Selection of cutting insert for longitudinal turning of unalloyed steel using robust decision making

Madić,

Trifunović,

Petrović

2024

XIX International May Conference on Strategic Management – IMCSM24 Proceedings - Zbornik Radova

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Cutting tool is a very important element of machining production system. It is primarily responsible for material removal in the form of chips, but also significantly affects multiple machinability characteristics, surface finish, attainable dimensional accuracy, productivity and costs. As for a given machining operation there is a number of alternative cutting tools and inserts from many manufacturers, each characterized by a unique set of characteristics, the selection of a particular cutting tool can be very complex task, yet solvable within the framework of multi-criteria decision making (MCDM) methodology. This study is focused on the development of an MCDM model for selection of the most suitable cutting insert for medium machining of unalloyed structural steel. The model was developed by available information, catalogues of cutting tool manufacturers and machining estimations, and consisted of fourteen alternative cutting inserts from eight well-known cutting tool manufacturers and seven criteria. Initially, the assessment and ranking of alternative cutting inserts was derived by the six multi-criteria decision making (MCDM) methods, however, due to ranking inconsistency, the application of the robust decision making rule was adopted for solving the cutting insert MCDM problem.

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Section: Introductionmentioning

confidence: 99%

Selection of cutting insert for longitudinal turning of unalloyed steel using robust decision making

Madić,

Trifunović,

Petrović

2024

XIX International May Conference on Strategic Management – IMCSM24 Proceedings - Zbornik Radova

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“…There are several other studies to optimise the process parameters where different input parameters were investigated to optimise surface roughness, material removal rate, tool waer etc. [11][12][13][14][15] All these got different kinds of machining set-up and parameters which affected the optimized conditions. Arunachalam et al, 16 investigated the effect of discharge energy on the surface integrity of the wire-EDMed Inconel 718.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on material removal rate, kerf width, surface roughness and the dimensional accuracy the accuracy of hole in Inconel 718 using wire electric discharge

Nair

Pramanik

Basak

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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The main objective of research work to investigates the effects of various process parameters on the material removal rate, kerf width, surface roughness and the dimensional accuracy of Inconel 718 workpiece subjected to wire electrical discharge machining (WEDM). The input parameters of this study were wire speed, wire tension and flushing rate. The individual as well as interacting effect of process parameters on surface roughness, kerf width and dimensional accuracy. It was found that, in order to minimize the diameter error for circular cuts, the flushing rate, wire speed and wire tension should all be held at maximum values. The wire tension and wire speed both exhibited an insignificant effect on the surface roughness. The dimensional accuracy of the machined holes decreased with increasing wire tension and in order to achieve maximum material removal rate, wire tension and wire speed must be around 1400–1600 gf and at 8 m/min respectively. The flushing rates over 5 L/min had a negligible effect on the material removal rate. The highest kerf width and material removal rate were obtained at medium values of wire tension (1400–1600 gf) and wire speed (8 m/min). The lowest diameter error is achieved in a combination of maximum flushing rate, wire speed and wire tension. Factors such as circularity, cylindricity and hole diameter were closely examined in order to gain a deeper understanding of their influence on dimensional accuracy.

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Multi-criteria Decision Making in Wire-EDM Process Using MARCOS Method

Huy¹,

Danh

et al. 2022

Advances in Engineering Research and Application

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Multi-parametric Optimization of Wire-EDM of Inconel 718 Super Alloy Using Taguchi-Coupled WASPAS Method

Cited by 12 publications

References 9 publications

Selection of cutting insert for longitudinal turning of unalloyed steel using robust decision making

Selection of cutting insert for longitudinal turning of unalloyed steel using robust decision making

Experimental investigation on material removal rate, kerf width, surface roughness and the dimensional accuracy the accuracy of hole in Inconel 718 using wire electric discharge

Multi-criteria Decision Making in Wire-EDM Process Using MARCOS Method

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