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Optimization parameters for electro discharge machining on Nimonic 80A alloy using grey relational analysis
https://orcid.org/http://orcid.org/0009-0001-7649-9085
Abrasive powder-mixed electrode-coated electrical discharge machining (APMEC-EDM) is a hybrid manufacturing process that involves using a abrasive powder mixed dielectric fluid and coated electrodes and combining benefits of both mechanical and thermal interactions. Present study aims to use a new performance assessment technique, gray relational analysis (GRA), to assess the influence of optimizing the APMEC-EDM performance on Nimonic80A Superalloy. Here, five control factors are considered as machining parameters: pulse current (A), pulse on-time (Ton), pulse off-time (Toff), Inter Electrode gap (mm), and aluminum powder concentration (g/L). The GRA L27 Orthogonal Array DOE can determine best parameters for multiple responses. GRA is employed to acquire a single performance index, and gray correlational class is used to optimize the APMEC-EDM process using a gray correlation coefficient with a lower tool wear rate, radial overcut, and higher material removal rate. The multi-objective optimization optimum values are Current at 15 A, Inter Electrode Gap at 2 mm, and Powder concentration in dielectric at 9 g/l, Ton at 300 μs, and Toff at 90 μs.
Optimization parameters for electro discharge machining on Nimonic 80A alloy using grey relational analysis
https://orcid.org/http://orcid.org/0009-0001-7649-9085
Abrasive powder-mixed electrode-coated electrical discharge machining (APMEC-EDM) is a hybrid manufacturing process that involves using a abrasive powder mixed dielectric fluid and coated electrodes and combining benefits of both mechanical and thermal interactions. Present study aims to use a new performance assessment technique, gray relational analysis (GRA), to assess the influence of optimizing the APMEC-EDM performance on Nimonic80A Superalloy. Here, five control factors are considered as machining parameters: pulse current (A), pulse on-time (Ton), pulse off-time (Toff), Inter Electrode gap (mm), and aluminum powder concentration (g/L). The GRA L27 Orthogonal Array DOE can determine best parameters for multiple responses. GRA is employed to acquire a single performance index, and gray correlational class is used to optimize the APMEC-EDM process using a gray correlation coefficient with a lower tool wear rate, radial overcut, and higher material removal rate. The multi-objective optimization optimum values are Current at 15 A, Inter Electrode Gap at 2 mm, and Powder concentration in dielectric at 9 g/l, Ton at 300 μs, and Toff at 90 μs.
Optimization parameters for electro discharge machining on Nimonic 80A alloy using grey relational analysis
https://orcid.org/http://orcid.org/0009-0001-7649-9085
Abrasive powder-mixed electrode-coated electrical discharge machining (APMEC-EDM) is a hybrid manufacturing process that involves using a abrasive powder mixed dielectric fluid and coated electrodes and combining benefits of both mechanical and thermal interactions. Present study aims to use a new performance assessment technique, gray relational analysis (GRA), to assess the influence of optimizing the APMEC-EDM performance on Nimonic80A Superalloy. Here, five control factors are considered as machining parameters: pulse current (A), pulse on-time (Ton), pulse off-time (Toff), Inter Electrode gap (mm), and aluminum powder concentration (g/L). The GRA L27 Orthogonal Array DOE can determine best parameters for multiple responses. GRA is employed to acquire a single performance index, and gray correlational class is used to optimize the APMEC-EDM process using a gray correlation coefficient with a lower tool wear rate, radial overcut, and higher material removal rate. The multi-objective optimization optimum values are Current at 15 A, Inter Electrode Gap at 2 mm, and Powder concentration in dielectric at 9 g/l, Ton at 300 μs, and Toff at 90 μs.
Optimization parameters for electro discharge machining on Nimonic 80A alloy using grey relational analysis
Int J Interact Des Manuf
Rajesh, Maddipati (author) / Sri, M. Naga Swapna (author) / Jeyakrishnan, S. (author) / Anusha, P. (author) / Manikanta, Javvadi Eswara (author) / Sateesh, N. (author) / Nookaraju, B. Ch. (author) / subbiah, Ram (author) / Vijayakumar, S. (author)
2024-04-01
14 pages
Article (Journal)
Electronic Resource
English
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