PROCESS PARAMETER OPTIMIZATION ON MQL WITH VEGETABLE GRADE CUTTING OIL-A REVIEW

Mechanical Engineering

Machining with a conventional flood lubrication system is a traditional practice in manufacturing industries. Recently, the application of cutting fluids has gained much attention in the machining of any superalloys due to their good lubricating/cooling properties including thermal conductivity, viscosity, etc. Increasing demand for production, Industrialists increase the speed, feed so produces high temperature, which reduce tool life. There have been continues efforts in developing metal working fluids to replace the conventional mineral oil-based MWF Lubricant with other advanced cooling processes. This paper reviews studies of different MWF formulations including the application of dry machining, wet machining, MQL Process, and Cryogenic cooling process. The result of surface roughness obtained during turning and milling of different alloy material with minimum quantity lubrication of both traditional oil and vegetable oil are compared with each other and it observed that the surface roughness of nonedible oil i.e. Vegetable gives a better surface finish. The Engraving machine gives better results to another machine as regards accuracy and better surface finish. Taguchi methodology is widely used for statistical analysis. ANOVA analysis is also used to determine which parameters are the most significant effect on the selected quality parameters.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.