Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
---|---|---|
Article Number | 01048 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202018401048 | |
Published online | 19 August 2020 |
Taguchi optimisation of Turning Inconel 600 under dry and MQL condition using uncoated Tool
1 Assoc.Professor, GRIET, Mechanical Engineering Department, Hyderabad, India.
2 UG Student GRIET, Mechanical Engineering Department, Hyderabad, India.
3 PG Student GRIET, Mechanical Engineering Department, Hyderabad, India.
Utilization of super alloys have been prominent in production now-a-days to achieve a superior qualified high strength of low weight products. Advance trends have been performed in order to understand the impact of lubricating and cooling effects while turning these hard to cut alloy steels which produces tremendous amount of heat while machining. Present paper deals with one of those hard-to-cut alloys, Inconel 600 one of the hot working capable nuclear alloy. Turning experiments was performed using an carbide tool insert with varying rake angles (-7, -5 and -3 degrees), speed (50, 75 and 100 mm/min) and feed rate (0.1,0.2 and 0.3 mm/rev). A total of 9 experiments were performed based on the DOE. Surface roughness was measured and comparison of surface roughness is done for both dry and MQL conditions. In order to evaluate the optimum turning condition Taguchi optimisation was employed. It was observed that for dry turning rake angle at -3 degrees, speed at 50m/min and feed at 0.1 mm/rev and rake angle at -3 degree, speed at 50 m/min and feed at 0.3 mm/rev for MQL turning was found to be optimum. A mathematical model for both the cases were also studied for turning operation.
© The Authors, published by EDP Sciences, 2020
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.
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.