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2021 | OriginalPaper | Chapter

Multi-objective Optimization of Surface Roughness and MRR in Surface Grinding of Hardened SKD11 Using Grey-Based Taguchi Method

Authors : Tran Thi Hong, Do The Vinh, Tran Vinh Hung, Tran Ngoc Giang, Nguyen Thanh Tu, Le Xuan Hung, Bui Thanh Danh, Luu Anh Tung

Published in: Advances in Engineering Research and Application

Publisher: Springer International Publishing

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Abstract

The dressing plays an important role in wheel preparation in the grinding process. In this study, Grey Relational Analysis (GRA) based Taguchi method is applied to optimize the dressing parameters for minimizing the surface roughness and maximizing the material removal rate (MRR) in surface grinding of hardened SKD 11 steel. The Taguchi technique L16 is used to organize experiments that include six input parameters of the dressing process. There are two two-level parameters and four 4-level parameters including dressing feed rate, rough dressing depth, rough dressing times, fine dressing depth, fine dressing times, and non-feeding dressing. As shown in the result, the optimal dressing process for the minimum surface roughness and maximum MRR consists of 2 times of the rough dressing with a depth of 0.015 mm/stroke, a feed rate of 1.6 mm/min, 3 times non-feeding dressing, and no fine dressing was performed. Also, the dressing feed rate has the strongest impact on multiple performance characteristics (with 43.24% contribution), followed by the rough dressing depth (with 26.20% contribution). A verification experiment has demonstrated the appropriateness of the predictive model to the measurement data.

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previous chapter Multi-objective Optimization of Process Parameters During Electrical Discharge Machining of Hardened 90CrSi Steel by Applying Taguchi Technique with Grey Relational Analysis
next chapter Multi-response Optimization in PMSEDM Process Using Taguchi-Grey Method
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Metadata
Title
Multi-objective Optimization of Surface Roughness and MRR in Surface Grinding of Hardened SKD11 Using Grey-Based Taguchi Method
Authors
Tran Thi Hong
Do The Vinh
Tran Vinh Hung
Tran Ngoc Giang
Nguyen Thanh Tu
Le Xuan Hung
Bui Thanh Danh
Luu Anh Tung
Copyright Year
2021
Book
Advances in Engineering Research and Application

Print ISBN: 978-3-030-64718-6

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

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-64719-3_64

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