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Erschienen in:

2021 | OriginalPaper | Buchkapitel

Multi Response Optimization of Dressing Conditions for Surface Grinding SKD11 Steel by HaiDuong Grinding Wheel Using Grey Relational Analysis in Taguchi Method

verfasst von : Tran Thi Hong, Ngo Ngoc Vu, Nguyen Huu Phan, Tran Ngoc Giang, Nguyen Thanh Tu, Le Xuan Hung, Bui Thanh Danh, Luu Anh Tung

Erschienen in: Advances in Engineering Research and Application

Verlag: Springer International Publishing

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Abstract

This paper presents a multi response optimization for dressing parameters for surface grinding SKD11 steel using HaiDuong grinding wheel by grey relational analysis (GRA) in the Taguchi method. The input parameters including feed rate (S), depth of rough dressing (a_r), rough dressing times (n_r), depth of fine dressing (a_f), fine dressing times (n_f) and non-feeding dressing (n_non) to flatness tolerance (Fl) were investigated and optimized to obtain the smallest flatness tolerance and the highest material removal rate (MRR). The experimental results showed that optimum caculation model with dressing process for surface grinding SKD11 steel using Haiduong grinding wheel is suitable.

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Titel: Multi Response Optimization of Dressing Conditions for Surface Grinding SKD11 Steel by HaiDuong Grinding Wheel Using Grey Relational Analysis in Taguchi Method
verfasst von: Tran Thi Hong
Ngo Ngoc Vu
Nguyen Huu Phan
Tran Ngoc Giang
Nguyen Thanh Tu
Le Xuan Hung
Bui Thanh Danh
Luu Anh Tung
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_62

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