Issue |
MATEC Web of Conferences
Volume 172, 2018
3rd International Conference on Design, Analysis, Manufacturing and Simulation (ICDAMS 2018)
|
|
---|---|---|
Article Number | 04008 | |
Number of page(s) | 6 | |
Section | Manufacturing Engineering | |
DOI | https://doi.org/10.1051/matecconf/201817204008 | |
Published online | 12 June 2018 |
Optimization of WEDM process during machining of Al-Al2O3 composite using Taguchi based Grey Relational Analysis
School of Mechanical Engineering, VIT, Vellore, Tamilnadu, India.
* Corresponding author: rajyalakshmi@vit.ac.in
Aluminium ceramic (Al-Al2O3) is used comprehensively all over the world. In this paper, input parameters on Al-Al2O3 workpiece are applied to investigate the MRR and surface roughness by the process of wire electrical machining (WEDM).Four varying input parameters (Ton, Toff, Wf and Cs%) were tabulated for nine samples using L9 orthogonal array design technique whereas keeping wire tension as constant. Tool wear is calculated as the change in initial thickness and final thickness after cutting operation using screw gauge. The surface roughness is found using surface roughness tester.Minitab is used to plot the graph between input parameters against various output parameters. To find the impact of process parameters, ANOVA (Analysis of Variance) is used .
Key words: Parametric Optimization- 1 / Particulate Reinforced Metal Matrix Composites- 2 / Taguchi- Grey RelationalAnalysis-3 / WEDM-4
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
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.