Analysis on the Effect of Machining parameters on MRR Using Different Coolants
Abstract & Details
Research Area
Mechanical Engineering
Keywords
Taguchi Method
EN-36 Steel Alloy
Material Removal Rate (MRR)
Analysis of Variance (ANOVA)
Signal to noise (S/N) ratio etc.
Abstract
In the present paper, by using Taguchi Robust Design methodology, the Turning of EN-36 Steel Alloy is carried out in order to optimize the turning Machining parameters. The present work deals with the optimization of selected Machining parameters, i.e. Type of Lubricant, Cutting Speed, Feed rate and Depth of cut. The experiments are carried out using L9 (34) orthogonal array. Taguchi method stresses the importance of studying the response variation using the Analysis of Variance (ANOVA) and signal to noise (S/N) ratio, resulting the minimization of quality characteristic variation due to uncontrollable parameter. The Material Removal Rate (MRR) is considered as the quality characteristic in the concept of “the Larger the better”. The Material Removal rate (MRR) measured from experiment and their optimum value for MRR are calculated. Analysis of Variance suggests that the selected cutting parameters are significant for the MRR.
License
This work is licensed under a Creative Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | G.Guruvaiah Naidu | Usha Rama College of Engineering & Technology, Vijayawada, A.P., India |
| 2 | A.Venkata Vishnu | NNRG, Hyd, Telangana, India |
| 3 | S.Naveen Kumar | Usha Rama College of Engineering & Technology, Vijayawada, A.P., India |
| 4 | T.Prem Sagar | Usha Rama College of Engineering & Technology, Vijayawada, A.P., India |
| 5 | M.Gopi Srinivas | Usha Rama College of Engineering & Technology, Vijayawada, A.P., India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Naidu, G.Guruvaiah, Vishnu, A.Venkata, Kumar, S.Naveen, Sagar, T.Prem, & Srinivas, M.Gopi (2017). Analysis on the Effect of Machining parameters on MRR Using Different Coolants. International Journal of Advance Research and Innovative Ideas In Education, 2(2), 28-32.
MLA Style
Naidu, G.Guruvaiah, et al. "Analysis on the Effect of Machining parameters on MRR Using Different Coolants." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 2, 2017, pp. 28-32.
IEEE Style
G.Guruvaiah Naidu, A.Venkata Vishnu, S.Naveen Kumar, T.Prem Sagar, and M.Gopi Srinivas, "Analysis on the Effect of Machining parameters on MRR Using Different Coolants," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 2, pp. 28-32, 2017.
Vancouver Style
Naidu G.Guruvaiah, Vishnu A.Venkata, Kumar S.Naveen, Sagar T.Prem, Srinivas M.Gopi. Analysis on the Effect of Machining parameters on MRR Using Different Coolants. International Journal of Advance Research and Innovative Ideas In Education. 2017;2(2):28-32.
Harvard Style
Naidu, G.Guruvaiah, Vishnu, A.Venkata, Kumar, S.Naveen, Sagar, T.Prem, & Srinivas, M.Gopi (2017) 'Analysis on the Effect of Machining parameters on MRR Using Different Coolants', International Journal of Advance Research and Innovative Ideas In Education, 2(2), pp. 28-32.
Chicago Style
Naidu, G.Guruvaiah, et al. "Analysis on the Effect of Machining parameters on MRR Using Different Coolants." International Journal of Advance Research and Innovative Ideas In Education 2, no. 2 (2017): 28-32.
Turabian Style
Naidu, G.Guruvaiah, et al. "Analysis on the Effect of Machining parameters on MRR Using Different Coolants." International Journal of Advance Research and Innovative Ideas In Education 2, no. 2 (2017): 28-32.
Related Research in this Conference
Velocity Effect Investigation on the Flow Parameters in Y-Duct
PDF Unavailable
EXPERIMENTAL STUDY ON MECHANICAL PROPERTIES AND ELECTRICAL CONDUCTIVITY OF NATURAL FIBRE REINFORCED COMPOSITE
PDF Unavailable