Investigation on flow forming process using Taguchi-based grey relational analysis (GRA) through experiments and finite element analysis (FEA)

Bhatt, Ravi J.; Raval, Harit K.

doi:10.1007/s40430-018-1456-2

Cited by 7 publications

(5 citation statements)

References 51 publications

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“…Optimization results obtained confirmed the effective use of GRA [24]. Bhatt and Rawal [27] reported that many researchers have used GRA as a multi-response optimization in traditional and non-traditional machining processes. Rastee et al [4] used response surface methodology (RSM) for optimizing DSS wet turning for responses such as tool wear, cutting forces and effective power.…”

Section: Introductionsupporting

confidence: 61%

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

Sonawane

Sargade

2019

J Braz. Soc. Mech. Sci. Eng.

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Dual-phase structure with 1:1 ratio of austenite and ferrite is termed as "Duplex". Lower cost of duplex stainless steel (DSS) with a combination of good strength and corrosion resistance in a critical environment is captivating many applications. This research work highlights the experimental study of effect of cutting parameters such as cutting speed, feed rate, AlTiN and AlTiCrN-coated tools on response parameters, viz. tool life, surface roughness and cutting forces. Multi-objective optimization using grey relation analysis (GRA) was done to optimize quality response characteristics. High-power impulse magnetron sputtering was used to deposit AlTiN and AlTiCrN coatings on tungsten carbide substrate. Performance measures such as tool life, surface roughness and cutting forces were measured during dry turning of DSS2205 and optimized using Taguchi's GRA technique. AlTiCrN-coated tools exhibited the best results followed by AlTiN-coated tools and uncoated tools. Tool life achieved with AlTiCrN-coated tools is 7 times more than uncoated tools, in which surface roughness was found to be reduced by 67% and cutting forces by 25%. Weighted GRG grade shows that for all the tools used, a cutting speed of 100 m/ min and feed rate of 0.12 mm/rev provided optimum results for response parameters. For change in weightage to response characteristics, different optimum conditions were found for all the tools used. AlTiCrN-coated tool with 100 m/min cutting speed and 0.12 mm/rev feed rate performed better with the highest tool life, the least surface roughness and cutting forces. The results were confirmed by S/N ratio plots. Keywords DSS2205 • HiPIMS • Characterization • Dry turning • GRA • S/N ratio List of symbols X i (k) Sequence after the data preprocessing Δ 0i (k) Deviation sequence of the reference sequence i (k) Grey relation coefficient T s Deposition temperature of the coating X 0 i (k) Original sequence Identification coefficient i

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Section: Introductionsupporting

confidence: 61%

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

Sonawane

Sargade

2019

J Braz. Soc. Mech. Sci. Eng.

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“…Taguchi-based single-objective optimization technique has been reported by many researchers. However, the literature in optimization of micro-EDM process by simultaneously optimizing more than one performance measures is found very limited [24][25][26][27][28][29][30][31][32]. Only few papers are available in the field of advanced machining process, especially on micro-EDM processes with an application in Taguchi approach.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on drilling micro-hole through micro-EDM and optimization of multiple performance characteristics

Singh

Patowari

Chandrasekaran

2020

J Braz. Soc. Mech. Sci. Eng.

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Drilling of micro-hole with fine edges and smooth internal surfaces finds numerous applications in manufacturing industries; holes drilled in injection nozzles, drug delivery orifices and spinneret holes are some of examples. This work carries out an experimental investigation and parametric optimization on micro-hole drilling using micro-electrical discharge machining (µ-EDM) process. The machining experiments are conducted employing Taguchi L16 orthogonal array for evaluating machining time (t) average overcut (AOV), taper angle (TA), entry overcut (EnOV), exit overcut (ExOV) and material removal rate (MRR) as process performances, while voltage (V), capacitance (pF) and feed rate (µm/s) are considered as process parameters. The influence of process parameters on the responses is studied at different cutting conditions. The drilled microholes profile is studied in terms of burrs, craters, spots on the edges and internal surfaces using micrographs obtained with optical and scanning electron microscopes. The ANOVA result reveals that capacitance is the most significant parameter for t, AOV, TA, MRR, EnOV and ExOV. For simultaneous optimization of three performance measures (i.e., t, AOV and TA), an overall evaluation criterion has been evaluated and optimum cutting conditions such as voltage: 80 V, capacitance: 100 pF and feed rate: 15 µm/s are obtained. The expected outcome obtained at the optimum condition is improved by 10.57% (36.934 to 40.839) over the grand average of performance. The confirmation experimental result at optimum cutting condition (i.e., 39.378) is comparable with the expected result (i.e., 40.839).

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“…GRA technique is necessary to fulfil all the output variables with the optimum variable condition and to evaluate the performance of variation of composite optimization usually GRA is useful. Awale and Inamdar, 52 Bhatt and Raval, 53 Pandey and Gautam, 54 Ghetiya et al 55 and Eskandari et al 56 performed the GRA to optimize the response variables.…”

Section: Resultsmentioning

confidence: 99%

Experimental investigation to study the effect of synthesized and characterized monotype and hybrid nanofluids in minimum quantity lubrication assisted turning of bearing steel

Junankar

Yashpal

Purohit

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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A minimum quantity lubrication system using biodegradable cutting fluids has facilitated the excellent machining performance and is observed as more sustainable. In the view of enhancement of machining performance, the utilization of nanofluids with a minimum quantity lubrication system as a cutting fluid delivered noteworthy outcomes. For the present experimental investigation, the monotype nanofluids (copper oxide and zinc oxide) and a hybrid nanofluid (copper oxide/zinc oxide) were synthesized by using a two-step method. Scanning electron microscopy and energy dispersive X-ray analysis were performed to characterize the synthesized nanoparticles. A vegetable oil was utilized as a base fluid and three types of nanofluids were prepared by the addition of a surfactant (butenol). Also, ultrasonication has been performed to avoid the agglomeration of nanoparticles into the base fluid. The thermal conductivity evaluation of prepared nanofluids was carried out by using a hot wire method. The effects of three nanofluids were investigated by considering three machining input variables (cutting speed, feed rate and depth of cut) on response variables (surface roughness and cutting zone temperature) during bearing steel turning under nanofluid minimum quantity lubrication cooling conditions. The multi-objective optimization was performed by using grey relational analysis and found that the hybrid nanofluid (copper oxide/zinc oxide) was noted as the highly effective cooling condition as equated to copper oxide and zinc oxide monotype nanofluid. The hybrid nanofluid (copper oxide/zinc oxide) shows a 65% and 60% reduction in surface roughness on comparing with copper oxide and zinc oxide nanofluids, respectively. Also, the minimization of cutting zone temperature was observed under the hybrid nanofluid (copper oxide/zinc oxide) by 11% and 13% on equating with copper oxide and zinc oxide nanofluids, respectively.

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Investigation on flow forming process using Taguchi-based grey relational analysis (GRA) through experiments and finite element analysis (FEA)

Cited by 7 publications

References 51 publications

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

Experimental study on drilling micro-hole through micro-EDM and optimization of multiple performance characteristics

Experimental investigation to study the effect of synthesized and characterized monotype and hybrid nanofluids in minimum quantity lubrication assisted turning of bearing steel

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