Process Parameter Optimization On Micro-Machining(Engraving)-A Review

Mechanical Engineering

Day by day increasing demand of production, Industrialist 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. This paper reviews recent developments in Cutting fluids performance and tribological studies of different MWF formulation including the application of dry machining, wet machining, MQL Process and Cryogenic cooling process. In this paper, a comprehensive and in-depth review on optimization of different process parameters were carried out using different optimization tools. Engraving machine is superior to other machine as regards accuracy and better surface finish. Every manufacturing industry is trying to achieve the high quality products in a very short period of time with less input. In engraving machine, there are many process parameters like spindle speed, feed rate, depth of cut, coolant, tool geometry which affected on required quality parameters. So, selections of process parameters are the important phenomena. It is first optimizing for required quality parameters while selection. By using different Software we can evaluate the process parameter. Taguchi methodology is widely used for single optimization. But, sometime multi objective quality parameters are required to be optimized. For multi objective optimization Utility concept, Grey relation analysis, PCA etc. are widely used. ANOVA analysis is also used to determine which parameters is the most significant effect on the selected quality parameters.

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