Application of Taguchi and Grey Relational Analysis for Parametric Optimization of End Milling Process of ASSAB-XW 42
- 10.2991/aer.k.201221.085How to use a DOI?
- ASSAB-XW 42, end mill, grey relational analysis, Taguchi
The quality characteristics of surface roughness and MRR of the end mill process have been considered to be optimized simultaneously. The input parameters that are considered are cutting fluid. cutting speed. feeding speed. and depth of cut. Optimization is carried out using the experimental design of the Taguchi method. the signal-to-noise (S/N) ratio obtained from the Taguchi method is then used in GRA for multi-response optimization. Grey Relational Grade (GRG) results include the prediction of the optimum level of input parameters and their relative significance to several quality characteristics. Based on the results of the analysis of the variance of GRG, it was found that the percentage of contribution was obtained. The results of the process parameters that gave the greatest influence were the feeding speed of 39.8%. followed by a cutting depth of 30.52%, cutting fluid, 11.67%, and cutting speed of 5.13%.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Nuraini Lusi AU - Dian Ridlo Pamuji AU - Anggra Fiveriati AU - Akmad Afandi AU - Galang Sandy Prayogo PY - 2020 DA - 2020/12/22 TI - Application of Taguchi and Grey Relational Analysis for Parametric Optimization of End Milling Process of ASSAB-XW 42 BT - Proceedings of the International Seminar of Science and Applied Technology (ISSAT 2020) PB - Atlantis Press SP - 514 EP - 517 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.201221.085 DO - 10.2991/aer.k.201221.085 ID - Lusi2020 ER -