Multi-Criteria Optimization of Dressing Parameters for Surface Grinding 90CrSi Tool Steel Using Taguchi Method and Grey Relational Analysis-Reference-Cited by-同舟云学术

Multi-Criteria Optimization of Dressing Parameters for Surface Grinding 90CrSi Tool Steel Using Taguchi Method and Grey Relational Analysis

Published:2020-06 Issue: Volume:998 Page:61-68
ISSN:1662-9752
Container-title:Materials Science Forum
language:
Short-container-title:MSF

Author:

Hong Tran Thi¹,Cuong Nguyen Van²,Ky Le Hong³,Nguyen Quoc Tuan⁴,Long Banh Tien⁵,Tung Luu Anh⁶,Nguyen Thanh Tu⁶,Pi Vu Ngoc⁶

Affiliation:

1. Nguyen Tat Thanh University

2. University of Transport and Communications

3. Vinh Long University of Technology Education

4. Ha Noi University of Science and Technology

5. Thai Nguyen University

6. Thai Nguyen University of Technology

Abstract

This paper introduces a study on multi-criteria optimization of the dressing parameters in surface grinding for 90CrSi tool steel. The aim of the study is to minimize the surface roughness, the normal shear force and maximize the grinding wheel life by using Taguchi method and Grey Relational Analysis (GRA). This multi-objective optimization is obtained by optimizing four four-level and two two-level dressing parameters in sixteen experiments based on an orthogonal array L16(44×22). From the results of the study, the optimum dressing parameters were proposed. Also, to evaluate the optimum dressing model, an experiment was performed. The results of the comparison between the predicted model and the experiment show that the proposed model has been proven and it can be used for further applying of surface grinding.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.scientific.net/MSF.998.61.pdf

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