| Issue |
E3S Web Conf.
Volume 309, 2021
3rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)
|
|
|---|---|---|
| Article Number | 01220 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/e3sconf/202130901220 | |
| Published online | 07 October 2021 | |
Combining Taguchi method and DEAR method for multi-objective optimization of grinding process
1 Ha Noi University of Industry, Vietnam
2 University of Economics - Technology for Industries, Vietnam
3 Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
4 Electric Power University, Vietnam
5 Thai Nguyen University of Technology, Thai Nguyen, Vietnam
In this paper, a study on multi-objective optimization of the cylindrical grinding process is presented. The experimental material used in this study is X12M steel. The two output parameters of the grinding process considered in this study are surface roughness and material removal rate (MRR). The cutting mode parameters including cutting speed, feed rate, and cutting depth have been selected as input parameters of the experimental process. Experimental matrix by Taguchi method has been used to design a matrix with 27 experiments. Analysis of experimental results by Pareto chart has determined the effect of input parameters on output parameters. The Data Envelopment Analysis-based Ranking (DEAR) method has been applied to determine the values of input parameters to simultaneously ensure the two criteria of minimum surface roughness and maximum MRR. Finally, the development direction for further studies has also been recommended in this study.
Key words: cylindrical grinding / X12M steel / surface roughness / MRR / multi-objective optimization / Taguchi / DEAR
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.