Multi-response optimization of duplex turning of Nickel alloy using grey relational analysis with entropy measurement

Kumar, Sunil; Yadav, Ravindra Nath; Kumar, Rajneesh

doi:10.1088/2631-8695/ab47ab

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…Generally, GRG has been calculated by aggregating all values of grey relational coefficient (GRC). But the responses show distinct behaviour concerning process factors variation, therefore grey entropy weight measurement techniques had been utilise by few researchers (Rao and Yadava, 2009;Sharma and Yadava, 2011;Kumar et al, 2019). Pradhan (2018) utilised entropy-weight with GRA in EDM process.…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Kumar¹,

Yadav²,

Kumar³

2020

IJPTECH

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In present work, the effect of turning parameters like cutting velocity, feed rate, primary depth of cut (DOC) and secondary-DOC on responses like primary cutting force (Fp), secondary cutting force (Fs) and surface roughness (Ra) using duplex turning process are observed. The preliminary experiments and entropy-grey relational analysis (GRA) has been utilised to plan the experiment. Analysis of variance (ANOVA) analyses the influence of each parameter on the responses. It is observed that feed rate has more effect as compared to other parameters. The confirmation experiment at GRA optimal condition shows the improvement in all responses as Fp = 15.34%, Fs = 17.20% and Ra = 10.14% positively.

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Section: Literature Reviewmentioning

confidence: 99%

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Kumar¹,

Yadav²,

Kumar³

2020

IJPTECH

Self Cite

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“…Here, traditional approaches, mainly scratch tester and Vickers hardness, are used to fabricate the texture on the WC tool. Several researchers [26][27][28] worked on machining Nickel-based Inconel alloys, but limited research has been observed on X-750 Nickel alloy. Table 1 depicts the recent work published by researchers on Nickel-based alloys.…”

Section: Introductionmentioning

confidence: 99%

Investigation of parameters and morphology of coated WC tool while machining X-750 using NSGA-II

Bohat

Sharma

2023

Eng. Res. Express

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Nickel-based superalloys have numerous applications in automobile, aerospace, turbine blades, nuclear, oil refinery etc., due to their excellent properties like strength, wear resistance, corrosion resistance and higher creep strength. Because of these properties, modern manufacturing industries need help with the machining of nickel-based superalloys, i.e. hard-to-machine materials. In the present research, Ni-based X-750 alloy is machined with turning operation by a conventional lathe machine using a TiAlN PVD coated tungsten carbide tool at different rotational speed (TRS), depth of cut (DoC) and feed (F) values as input parameters whereas material removal rate (MRR) and tool wear (TW) are the responses of the study. The design of experiments (DoE) is prepared by response surface methodology-based Box-Behnken Design. Analysis of variance (ANOVA) was applied to investigate the percentage contribution of each machining parameter on responses. Non-dominated Sorting Genetic Algorithm-II (NSGA-II) simultaneously optimizes the developed empirical models of MRR and TW. The predicted solutions suggested by NSGA-II are the best solution, and confirmation experiments are conducted on randomly selected parametric settings from these solutions. The optimized set presented by NSGA-II is TRS: 900RPM; DoC: 0.06mm; F: 0.1mm/rev, and the maximum relative error in the case of MRR and TW is in the permissible limit. Scanning electron microscopy (SEM) and Energy dispersive spectroscopy (EDS) are used to investigate the morphology of tool insert before and after machining at optimized value TRS: 900 RPM; DoC: 0.1 mm; F: 0.06 mm/rev, and it shows the wear marks on the tool, and the Energy dispersive spectroscopy confirms the presence of coating and WC. SEM is used to investigate the morphology of chips formed at different optimized parametric settings.

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“…This can be successfully overcome by applying the entropy measurement technique offered by Wen et al [20]. Kumar et al [21] tested entropy weighted grey based TM to optimize the cutting parameters for duplex turning of Inconel 718 by allocating the calculated entropy-weight to each criterion. Their results showed an improvement in the surface roughness, and primary and secondary cutting force in the optimal state.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Optimization of Turning of Martensitic Stainless Steel for Sustainability

Valić¹,

Cukor²,

Jurković³

et al. 2019

Int. j. simul. model.

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A modern production strategy faces the increasing challenges of practicing green production without sacrificing machining performance. Thus, this paper compares emulsion cooling, minimum quantity lubrication without and with a Ranque-Hilsch vortex tube when turning martensitic stainless steel X20Cr13. Experimental tests were organized corresponding to Taguchi orthogonal array L 27 (3 4 ). The Taguchi based entropy weighted grey relational analysis was exploited to acquire the optimum combination of cutting speed, feed, depth of cut and cooling method that concurrently minimize surface roughness and tool life while maximizing material removal rate. The combination of minimum quantity lubrication with Ranque-Hilsch vortex tube confirmed to be the best cooling method. Hence, the use of classic metalworking fluids when turning martensitic stainless steels can be excluded, which is important for reducing environmental pollution and hence for machining sustainability.

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Multi-response optimization of duplex turning of Nickel alloy using grey relational analysis with entropy measurement

Cited by 4 publications

References 31 publications

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Investigation of parameters and morphology of coated WC tool while machining X-750 using NSGA-II

Multi-Criteria Optimization of Turning of Martensitic Stainless Steel for Sustainability

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