Issue |
Manufacturing Rev.
Volume 9, 2022
|
|
---|---|---|
Article Number | 13 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/mfreview/2022010 | |
Published online | 27 June 2022 |
Research Article
Multi-criteria decision making in electrical discharge machining with nickel coated aluminium electrode for titanium alloy using preferential selection index
1
Hanoi University of Industry, No. 298, CauDien Street, Bac TuLiem District, Hanoi, Vietnam
2
Thai nguyen University of Technology, Thai nguyen, Vietnam
3
Department of Mechanical Engineering Department, RIT, Rajaramnagar Affiliated to SUK, Maharashtra, India
* e-mail: ngocvu@tnut.edu.vn
Received:
9
January
2022
Accepted:
10
April
2022
In the present scenario, great effort is expended to improve the machining process by adopting multi-criteria decision making in electrical discharge machining (EDM). In this research article, an attempt was made to optimize the process parameters of EDM with Nickel Coated Aluminium Electrode for machining Titanium Alloy using Preference Selection Index (PSI). The experimental work were performed using Taguchi based L16 orthogonal to solve multi-objective optimization problem. The current (I), voltage (U) and pulse on time (Ton) were used as input response variables for investigation process while material removal rate (MRR) and tool wear rate (TWR) were selected as performance measures. The experimental results show that set of optimized parameters of the multi-objective optimization problem in EDM with nickel coated aluminium electrode could improve the machining with better surface measures with less deviation from the prediction. The combination between PSI and Taguchi method reduced and saved significantly the experimental time and cost and increased accuracy for optimization process.
Key words: EDM / PSI / Taguchi
© N.H. Phan et al., Published by EDP Sciences 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/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.