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Grey-Taguchi and TOPSIS-Taguchi-Based Optimisation of Performance Parameters of Spark EDM on Heat-Treated AA7050/5 B4C Composite
https://orcid.org/http://orcid.org/0000-0002-2809-6775
EDM is a non-contact type machining process where subsurface damage significantly minimised. The present paper investigates the electro-discharge machinability of AA7050/5 B4C composite in terms of material removal rate, white layer thickness and surface roughness with the concurrent effect of process parameters such as peak current (Ip), pulse on time (Ton) and pulse off time (Toff). The experiments were designed as per Taguchi L9 orthogonal array. The responses parameters are optimised using Grey-Taguchi method and TOPSIS-Taguchi method. The optimum configurations of process parameters are evaluated by both the ways. For the confirmations, new experiments conducted with optimum settings of parameters. The experimental outputs compared with the predicted output. As per Grey-Taguchi, the optimal settings of process parameters are obtained as Ip3Ton3Toff1, where the error estimated between experimental and predicted GRG is 3.4%, whereas the optimal configuration of process parameters obtained from TOPSIS-Taguchi method is Ip1Ton1Toff2, and the error anticipated between experimental and predicted RC is 4.45%. From both optimisation methods, Grey-Taguchi method gives better results than TOPSIS-Taguchi Method.
Grey-Taguchi and TOPSIS-Taguchi-Based Optimisation of Performance Parameters of Spark EDM on Heat-Treated AA7050/5 B4C Composite
https://orcid.org/http://orcid.org/0000-0002-2809-6775
EDM is a non-contact type machining process where subsurface damage significantly minimised. The present paper investigates the electro-discharge machinability of AA7050/5 B4C composite in terms of material removal rate, white layer thickness and surface roughness with the concurrent effect of process parameters such as peak current (Ip), pulse on time (Ton) and pulse off time (Toff). The experiments were designed as per Taguchi L9 orthogonal array. The responses parameters are optimised using Grey-Taguchi method and TOPSIS-Taguchi method. The optimum configurations of process parameters are evaluated by both the ways. For the confirmations, new experiments conducted with optimum settings of parameters. The experimental outputs compared with the predicted output. As per Grey-Taguchi, the optimal settings of process parameters are obtained as Ip3Ton3Toff1, where the error estimated between experimental and predicted GRG is 3.4%, whereas the optimal configuration of process parameters obtained from TOPSIS-Taguchi method is Ip1Ton1Toff2, and the error anticipated between experimental and predicted RC is 4.45%. From both optimisation methods, Grey-Taguchi method gives better results than TOPSIS-Taguchi Method.
Grey-Taguchi and TOPSIS-Taguchi-Based Optimisation of Performance Parameters of Spark EDM on Heat-Treated AA7050/5 B4C Composite
https://orcid.org/http://orcid.org/0000-0002-2809-6775
EDM is a non-contact type machining process where subsurface damage significantly minimised. The present paper investigates the electro-discharge machinability of AA7050/5 B4C composite in terms of material removal rate, white layer thickness and surface roughness with the concurrent effect of process parameters such as peak current (Ip), pulse on time (Ton) and pulse off time (Toff). The experiments were designed as per Taguchi L9 orthogonal array. The responses parameters are optimised using Grey-Taguchi method and TOPSIS-Taguchi method. The optimum configurations of process parameters are evaluated by both the ways. For the confirmations, new experiments conducted with optimum settings of parameters. The experimental outputs compared with the predicted output. As per Grey-Taguchi, the optimal settings of process parameters are obtained as Ip3Ton3Toff1, where the error estimated between experimental and predicted GRG is 3.4%, whereas the optimal configuration of process parameters obtained from TOPSIS-Taguchi method is Ip1Ton1Toff2, and the error anticipated between experimental and predicted RC is 4.45%. From both optimisation methods, Grey-Taguchi method gives better results than TOPSIS-Taguchi Method.
Grey-Taguchi and TOPSIS-Taguchi-Based Optimisation of Performance Parameters of Spark EDM on Heat-Treated AA7050/5 B4C Composite
J. Inst. Eng. India Ser. D
Kumar, Arvind (author) / Rai, Ram Naresh (author)
2020-06-01
9 pages
Article (Journal)
Electronic Resource
English
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