Abstract
This paper presents the optimization of parameters considering multiple response characteristics during turning of Ti6Al7Nb under the Minimum Quantity Lubrication (MQL) conditions by Grey Relational Analysis (GRA) based on Taguchi. The parameters chosen in this study are type of cutting oil, flow rate of cutting fluid and cutting speed. Response characteristics selected to evaluate the machining performance are tool flank wear and surface roughness. Firstly, the experiments designed on Taguchi L9 orthogonal array (OA) are conducted and then grey relational analysis is used to optimize both the tool flank wear and surface roughness simultaneously. Further, Analysis of Variance (ANOVA) has been carried out to find significant process parameters. All the three process parameters are found significant and the most significant factor found is cutting oil with 66.37% contribution towards grey relational grade.
| Original language | English |
|---|---|
| Article number | 012121 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1240 |
| Issue number | 1 |
| DOIs | |
| State | Published - 7 Aug 2019 |
| Externally published | Yes |
| Event | 2nd International Conference on New Frontiers in Engineering, Science and Technology, NFEST 2019 - Kurukshetra, Haryana, India Duration: 18 Feb 2019 → 22 Feb 2019 |
Bibliographical note
Publisher Copyright:© 2019 IOP Publishing Ltd. All rights reserved.
Keywords
- Machining
- Minimum quantity lubrication
- cuttingoil
- wetlubrication