Empirical Modeling of EDM Parameters Using Grey Relational Analysis

Doniavi, A.; Eskandarzade, Mehdi; Abdi, Afshin; Totonchi, Akbarzadeh

doi:10.3923/ajsr.2008.502.509

Cited by 17 publications

(8 citation statements)

References 4 publications

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“…(8). For this study, the value of is selected as 0.5 [3], and the observed values were summarized in Table 4.…”

Section: Optimal Combination Of the Process Parametersmentioning

confidence: 99%

“…So based on experience, related literatures, and the working characteristics of the machine, the prime parameters chosen, in the present study are discharge current, spark on-time, duty cycle (defined as the ratio of pulse on time to the total pulse period) and discharge voltage. The motivation, why these factors have been select is that these are often used among EDM researchers [1,7,8,13,19,22] for the said responses and are found significantly influencing them. Extensive experiments were carried out on the AISI D2 tool steel, and the proposed models used the experimental data.…”

Section: Introductionmentioning

confidence: 97%

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Multi-Objective Optimization of MRR, TWR and Radial Overcut of EDMed AISI D2 Tool Steel Using Response Surface Methodology, Grey Relational Analysis And Entropy Measurement

Pradhan

2012

Journal for Manufacturing Science and Production

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This article illustrates an application of a hybrid optimization approach for the determination of the optimum machining parameters to achieve better productivity without negotiating the qualities and accuracy of the EDMed components. A synergy of Response Surface Methodology (RSM), Grey Relational Analysis (GRA) coupled with Energy measurement method has been applied that maximises Material Removal Rate (MRR) and simultaneously minimises Tool Wear Rate (TWR) & Radial overcut or Gap(G) during Electrical Discharge Machining (EDM) of AISI D2 Tool steel. The input process parameters considered are pulse current (Ip), pulse duration (Ton), duty cycle (Tau) and discharge voltage (V). A face centered Central Composite Design (CCD) has been adopted for conducting the experiments. The designed experimental results were used in grey relational analysis, and the weights of the quality characteristics were decided by utilizing the entropy measurement method. The significant parameters are obtained by accomplishing Analysis of Variance (ANOVA). Based on the RSM results, it is found that the grey relational grades are considerably influenced by the machining parameters and some of their interactions. Ip is found to be most influencing parameter with 35.02% contribution followed by interaction of Ip Ton and Tau with 21.74% and 17.73% contribution respectively. The coefficient of determination (R 2 ) is found to be 91.1% which is quite satisfactory. These results furnish useful information to control the responses and ensure the high productivity and accuracy of the component. This method is simple with easy operability, and moreover the results have also been confirmed by running the confirmation tests.Keywords. Electrical discharge machining, material removal rate, tool wear rate, radial overcut, response surface methodology, central composite design, grey relational analysis, entropy measurement method.

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“…(8). For this study, the value of is selected as 0.5 [3], and the observed values were summarized in Table 4.…”

Section: Optimal Combination Of the Process Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Multi-Objective Optimization of MRR, TWR and Radial Overcut of EDMed AISI D2 Tool Steel Using Response Surface Methodology, Grey Relational Analysis And Entropy Measurement

Pradhan

2012

Journal for Manufacturing Science and Production

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“…ma x Yi -m mYi ma x Yi -Yi ma x Yi -m mYi (20) (21) Table 5 shows the grey relational coefficient for each run using the L27 orthogonal array. The Grey relational grade corresponding to each perfonnance characteristic should then be computed by:…”

Section: Calculate the Grey Relational Coefficient And Gradementioning

confidence: 99%

“…It has been employed by Kopac and Krajnik [19] in order to optimize flank milling parameters. In other work by Doniavi [20], it is used to solve a multi response performance characteristic of EDM process.…”

Section: Introductionmentioning

confidence: 99%

An optimization aproach for design parameters in involute spur gears considering transmission error, gear size and lubrication parameters using Grey Relational Analysis Technique

Mohammadpour

Mirzaee

Eskandarzade

et al. 2010

2010 International Conference on Mechanical and Electrical Technology

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This paper presents an optimal design for gears considering gear transmission error, size and lubrication parameters and using Grey Relational Analysis Technique.For this purpose, a new approach has been utilized in order to calculate the transmission error in involute spur gears to get outputs in the shortest time with a high accuracy. In this model, a statically un-determined problem is considered between each engaged pair. In addition to this factor, a factor that defines a competitive parameter for size of gear sets has been considered as second parameter for optimization. This factor has a great effect on financial matters of gears production and design compactness. The third parameter for consideration is oil film thickness in contact points along the path of contact that has been calculated using experimental equations. Finally, to investigate the accuracy of this model, some competitive parameters have been defined and utilized.

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“…The 6061 aluminum alloy has been used in automotive industry for the fabrication of parts which includes wheel, panels and vehicle structure [5] ZrB 2 is known to have many superior properties such as high melting temperature, hardness, corrosion resistance, oxidation resistance and electrical conductivity, being used for aircraft / rocket components working at special high temperature, cutting tools and cathode material for aluminum refinement furnace [6]. Production of in-situ metal matrix composite by flux assisted synthesis was widely reported in the literatures [7][8]10].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of PCD Insert 1600 Grade on Turning of Al 6061 Reinforced with 7.5% ZrB₂Metal Matrix Composite

Ramanathan¹,

Thanish²,

Raja³

2016

MATEC Web of Conferences

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Abstract. Aluminum matrix composite is the innovation of high performance material technology and it has superior interfacial integrity and thermodynamic stability between the matrix and reinforcement. Making the engineering components from this composite material require subsequent machining operations. This paper presents the detailed experimental investigation of the machining behaviour in turning of Al 6061-7.5% ZrB 2 Metal Matrix Composite (MMC) by using Poly Crystalline Diamond (PCD) insert of 1600 grade. The effect of ZrB 2 reinforcement particles on machinability behaviour need to be studied. It is concluded that the feed rate has great influence on surface roughness and depth of cut has great influence on cutting force. The confirmation experiment indicates that there is a good agreement between the estimated value and experimental Value. Tool wear study also carried out for time duration of 15 minutes.

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Empirical Modeling of EDM Parameters Using Grey Relational Analysis

Cited by 17 publications

References 4 publications

Multi-Objective Optimization of MRR, TWR and Radial Overcut of EDMed AISI D2 Tool Steel Using Response Surface Methodology, Grey Relational Analysis And Entropy Measurement

Multi-Objective Optimization of MRR, TWR and Radial Overcut of EDMed AISI D2 Tool Steel Using Response Surface Methodology, Grey Relational Analysis And Entropy Measurement

An optimization aproach for design parameters in involute spur gears considering transmission error, gear size and lubrication parameters using Grey Relational Analysis Technique

Performance Evaluation of PCD Insert 1600 Grade on Turning of Al 6061 Reinforced with 7.5% ZrB₂Metal Matrix Composite

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Empirical Modeling of EDM Parameters Using Grey Relational Analysis

Cited by 17 publications

References 4 publications

Multi-Objective Optimization of MRR, TWR and Radial Overcut of EDMed AISI D2 Tool Steel Using Response Surface Methodology, Grey Relational Analysis And Entropy Measurement

Multi-Objective Optimization of MRR, TWR and Radial Overcut of EDMed AISI D2 Tool Steel Using Response Surface Methodology, Grey Relational Analysis And Entropy Measurement

An optimization aproach for design parameters in involute spur gears considering transmission error, gear size and lubrication parameters using Grey Relational Analysis Technique

Performance Evaluation of PCD Insert 1600 Grade on Turning of Al 6061 Reinforced with 7.5% ZrB2Metal Matrix Composite

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Product

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Performance Evaluation of PCD Insert 1600 Grade on Turning of Al 6061 Reinforced with 7.5% ZrB₂Metal Matrix Composite