A Review on Experimental Analysis and Optimization of MDF Cutting using Laser and AWJM

Fiber Laser Cutting is non-conventional machining process in which laser is generated and highly intense laser impinge onto the surface of the material to cut. Fiber laser cutting is newly developed process which is modified from simple laser cutting. Due to using fiber optics there is less power loss as compared to the laser cutting. Carbon Dioxide gases are used as the assist gas. This project work focuses on finding out the optimum parameters in CO2 laser cutting for Medium Density Fiber board. Input process parameters that are taken into consideration are operating power, cutting speed and focal point. The effect of input parameters on performance parameters such as surface roughness, kerf width will be experimentally noted and optimization of parameters is done with the help of Genetic Algorithm (GA) for CO2 as the assist gas. Response surface methodology has been used for DOE with Central Composite runs giving 20 runs for CO2 as the assist gas.