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2021 | OriginalPaper | Buchkapitel

Multi-response Optimization in PMSEDM Process Using Taguchi-Grey Method

verfasst von : Tran Thi Hong, Nguyen Manh Cuong, Tran Ngoc Giang, Nguyen Anh Tuan, Le Thu Quy, Thangaraj Muthuramalingam, Nguyen Thanh Tu, Do Thi Tam

Erschienen in: Advances in Engineering Research and Application

Verlag: Springer International Publishing

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Abstract

The optimization of input parameters on Powder Mixed Sinking Electrical Discharge Machining (PMSEDM) is critical for manufacturing industries for achieving higher productivity and product quality. In this work, a multi-target optimization of input factors for minimizing the surface roughness and maximizing the material removal rate (MRR) in PMSEDM process using Taguchi-Grey approach is presented. The five input parameters including the pulse-on-time (T_on), the pulse-off-time (T_off), the pulse current (IP), the server voltage (SV), and the powder concentration (C_p) are chosen for optimizing two responses i.e. the surface roughness and MRR. The results show that the optimal input parameters are T_on of 6 μs, T_off of 30 μs, IP of 4 A, SV of 5 V, and C_p of 6%. The optimized surface roughness obtained is 3.527 µm and the optimized MRR is 0.0724 g/min. The discovered technology mode has been applied to the real machining process and the outcome shows a considerable improvement in comparison with the default setting modes.

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Nächstes Kapitel Numerical Identification of the Mechanical Behaviour of a Fluoroelastomer (FKM) Using Nanoindentation Test

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Titel: Multi-response Optimization in PMSEDM Process Using Taguchi-Grey Method
verfasst von: Tran Thi Hong
Nguyen Manh Cuong
Tran Ngoc Giang
Nguyen Anh Tuan
Le Thu Quy
Thangaraj Muthuramalingam
Nguyen Thanh Tu
Do Thi Tam
Verlag: Springer International Publishing
Buch: Advances in Engineering Research and Application
Print ISBN: 978-3-030-64718-6

Electronic ISBN: 978-3-030-64719-3

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-64719-3_65

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