Multiresponse optimization of performance indicators through Taguchi-grey relational analysis in EDM of cemented carbide

IŞIK, Ahmet Tolunay; Çakıroğlu, Ramazan; Günay, Mustafa

doi:10.1016/j.cirpj.2023.01.012

Cited by 12 publications

(5 citation statements)

References 38 publications

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“…This worked also on titanium alloys, MRR and SR of Grade 5 (Ti-6Al-4V) titanium alloy was optimized through a Taguchi-coupled GRA and ANOVA method, e.g., by [33][34][35][36]. The EDM process was carried out in cemented carbide material and the response parameters MRR, TWR, and SR were optimized by the Taguchi GRA with the ANOVA method [37]. Optimized EDM process parameters for cutting a B 4 C (boron carbide)-reinforced Al7075 metal matrix composite using RSM were elicited, in the sense that current and pulse ON time greatly affected response parameter performance [38].…”

Section: Design Of Experimentsmentioning

confidence: 99%

A Hybrid Design of Experiment Approach in Analyzing the Electrical Discharge Machining Influence on Stir Cast Al7075/B4C Metal Matrix Composites

Mohankumar,

Kapilan,

Karthik

et al. 2024

Metals

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The present work centers on aluminum-based metal matrix composites (AMCs), synthesized via stir casting and then processed by electrical discharge machining (EDM) in the case of Al7075 as a matrix and 6 wt.% boron carbide (B4C) as reinforcement. A design of experiment (DoE) approach, powered by hybrid optimization techniques (such as the entropy weight method (EWM), grey relational analysis (GRA) incorporated Taguchi method) was used to investigate the relationship between current (I), pulse ON time (Ton), pulse OFF time (Toff), and electrode gap (Gap) as input parameters and the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR) as response parameters. The results showed that an I = 140 A, Ton = 120 ms, Toff = 50 ms, and Gap = 0.4 mm combination gives the best response parameters of MRR = 0.5628 mm3/min, TWR = 0.0048 mm3/min, and SR = 4.4034 μs.

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Section: Design Of Experimentsmentioning

confidence: 99%

A Hybrid Design of Experiment Approach in Analyzing the Electrical Discharge Machining Influence on Stir Cast Al7075/B4C Metal Matrix Composites

Mohankumar,

Kapilan,

Karthik

et al. 2024

Metals

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“…GRA has been used in many fields, including engineering, economics, and management, to solve complex problems and optimize systems. In the context of FGMs, GRA can be used to optimize the properties of the material by determining the optimal distribution of the constituent materials along the thickness of the material [53,54]. Functionally graded composites are materials that have varying properties and composition along their length or thickness, which can result in improved performance and functionality [55,56].…”

Section: Grey Relational Analysismentioning

confidence: 99%

Optimization and Characterization of Centrifugal-Cast Functionally Graded Al-SiC Composite Using Response Surface Methodology and Grey Relational Analysis

et al. 2023

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In this study, an optimization approach was employed to determine the optimal main parameters that improve the performance of functionally graded composites manufactured using a combination of stirring and horizontal centrifugal casting. Pure aluminum reinforced with silicon carbide particles was used as the material for the composites. The effects of key input parameters such as mold speed, pouring temperature, stirring speed, and radial distance were optimized using a combination of grey relational analysis and response surface methodology. The statistical significance of the predicted grey relational grade model was assessed through an analysis of variance to identify the appropriate main parameters. The results showed that radial distance had the greatest impact on the performance of the composites, followed by pouring temperature. The optimal combination of main parameters was determined to be a mold speed of 1000 rpm, a pouring temperature of 750 °C, a stirring speed of 150 rpm, and a radial distance of 1 mm. Confirmation tests using these optimal values resulted in a 54.69% improvement in the grey relational grade.

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“…The EDM process was chosen for machining the composite, employing Taguchi-SAW-PCA methods. The Taguchi-SAW-multi optimization yielded the most favourable rank and superior conditions for Ip, Ton, and Işık et al [19] optimized EDM parameters for creating a keyway on WC-15Co. They found 6A discharge current, 25 μs pulse time, and 100 μs pulse interval to be optimal.…”

Section: Introductionmentioning

confidence: 99%

Enhancing machining efficiency in hybrid metal matrix composites through EDM parameter optimization via grey relational analysis

Khare,

Sharma,

Goyal

et al. 2024

Eng. Res. Express

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In summary, this study utilized stir casting to develop three distinct aluminum hybrid composites incorporating boron carbide and alumina. These composites were identified as Al7075 + 12%B4C + 6%Al2O3, Al7075 + 6%B4C + 6%Al2O3, and Al7075 + 6 %B4C + 12%Al2O3. The research focused on machining these composite materials using EDM and employed a Taguchi L27 orthogonal array design to plan the machining tests. Key process parameters considered were gap voltage (V), duty cycle (%), current (A), and different percentages of reinforcement content. The study applied Grey Relational Analysis to evaluate the impact of EDM machining process parameters on critical output responses, specifically material removal rate ( MRR ) and tool wear rate ( TWR ).

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Multiresponse optimization of performance indicators through Taguchi-grey relational analysis in EDM of cemented carbide

Cited by 12 publications

References 38 publications

A Hybrid Design of Experiment Approach in Analyzing the Electrical Discharge Machining Influence on Stir Cast Al7075/B4C Metal Matrix Composites

A Hybrid Design of Experiment Approach in Analyzing the Electrical Discharge Machining Influence on Stir Cast Al7075/B4C Metal Matrix Composites

Optimization and Characterization of Centrifugal-Cast Functionally Graded Al-SiC Composite Using Response Surface Methodology and Grey Relational Analysis

Enhancing machining efficiency in hybrid metal matrix composites through EDM parameter optimization via grey relational analysis

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