Multi-objective optimization in WEDM of D3 tool steel using integrated approach of Taguchi method &amp; Grey relational analysis

Shivade, Anand S.; Shinde, Vasudev D.

doi:10.1007/s40092-014-0081-7

Cited by 53 publications

(24 citation statements)

References 16 publications

(15 reference statements)

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“…The F-ratio value indicates the significance of process parameters. Larger the value of F-ratio represent most significance process parameter [11][12]. Here, Welding current is most significant process parameter followed by weld time and electrode force.…”

Section: Anova For Grey Relational Gradementioning

confidence: 98%

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Optimization of Resistance Spot Welding of 304 Steel Using GRA

Rawal¹,

Kolhapure²,

Sutar³

et al. 2016

ijcert

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Abstract-Resistance spot welding (RSW) quality is mainly depends upon the parameters and their levels selected, like welding current, electrode force and welding time etc. So selection of optimal parameter levels plays an important role. Therefore, optimization of weld tensile strength and nugget diameter is selected for study. In this paper, use of Taguchi with Grey relational analysis (GRA) method to determine significant process parameters and their levels for optimal tensile shear strength (T-S) and nugget diameter (N-D) is reported. Taguchi based L27 (33) orthogonal array is selected for experimentation. Experiments are carried out on Stainless Steel 304. The level of importance of the welding parameters on the tensile shear strength and nugget diameter is determined by using analysis of variance (ANOVA) using Minitab 16 software. To improve the spot weld quality (i.e. T-S and N-D) multi objective process parameter optimization is performed using grey relational analysis.

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Section: Anova For Grey Relational Gradementioning

confidence: 98%

“…The optimal Grey relational grade ηopt is predicted as follows [10][11][12]. The results of confirmation experiment obtained by grey relation analysis are as shown in Table 6.…”

Section: Prediction Of Grg Under Optimum Parametersmentioning

confidence: 99%

Optimization of Resistance Spot Welding of 304 Steel Using GRA

Rawal¹,

Kolhapure²,

Sutar³

et al. 2016

ijcert

View full text Add to dashboard Cite

show abstract

“…Taguchi-based Grey relational analysis, to find the optimal process parameter setting for multi-matrix composite using molybdenum wire of 0.18 mm diameter, as electrode is applied by Lal et al (2015). Similar technique for optimisation was used by Shivade and Shinde (2014) for D3 tool steel material. Nayak and Mahapatra (2016) applied an artificial neural network (ANN) model to determine the relationship between input parameters and performance characteristics for taper cutting of deep cryo-treated Inconel 718 with cryo-treated coated Bronco cut-W.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of wire-cut EDM process parameter by Grey-based response surface methodology

2018

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Wire electric discharge machining (WEDM) is one of the advanced machining processes. Response surface methodology coupled with Grey relation analysis method has been proposed and used to optimise the machining parameters of WEDM. A face centred cubic design is used for conducting experiments on high speed steel (HSS) M2 grade workpiece material. The regression model of significant factors such as pulse-on time, pulse-off time, peak current, and wire feed is considered for optimising the responses variables material removal rate (MRR), surface roughness and Kerf width. The optimal condition of the machining parameter was obtained using the Grey relation grade. ANOVA is applied to determine significance of the input parameters for optimising the Grey relation grade.

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“…Bobbili [1] reported that Pon, Poff and servo voltage were the significant factors for Ra and MRR for cutting armor tool steel. Shivade and Shinde [17] evaluated the cutting performance of WEDM for D3 tool steel. The results showed that MRR increases with the increase in Pon and peak current and decreases with the increase in Poff .…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, an optimization technique has become an essential tool in finding the exact com-bination of process parameters. Many researchers used various optimization techniques in order to optimize the process parameters of WEDM [6,17,21]. In addition to these, Kumar [8] used taguchi method while investigating the effects of cutting parameters on material removal rate for EN-42 using WEDM process.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Effect of Wire Electric Dischage Machining Process Parameters for the Formation of High Speed Steel Form Tool

Ishfaq¹,

Mufti²,

Ahmad³

et al. 2018

Adv. Sci. Technol. Res. J.

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The use of form tools is growing in industry, owing to their inherent advantage of improving productivity. However, the accurate formation of form tool profile is a really tedious task. In this research work, wire electric discharge machining (WEDM) process has been used for the generation of a form tool. Pulse on-time, pulse off-time, servo voltage, wire tension, flushing pressure have been considered as input parameters, whereas tool geometry (clearance angle, included angle), surface roughness and material removal rate are the selected responses. Response surface methodology (RSM) (Box Bhenken experimental design) technique has been used for design of experiments. Analysis of Variance (ANOVA) has shown that pulse on-time and pulse off-time are the two influential control factors for material removal rate (MRR), surface roughness (Ra), clearance angle and included angle. Contour plot analysis has been performed to find out the optimal ranges of the most influential control factors for each response characteristics.

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Multi-objective optimization in WEDM of D3 tool steel using integrated approach of Taguchi method & Grey relational analysis

Cited by 53 publications

References 16 publications

Optimization of Resistance Spot Welding of 304 Steel Using GRA

Optimization of Resistance Spot Welding of 304 Steel Using GRA

Optimisation of wire-cut EDM process parameter by Grey-based response surface methodology

Analysis of the Effect of Wire Electric Dischage Machining Process Parameters for the Formation of High Speed Steel Form Tool

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