Laser Cut Surface Roughness Modelling Using Regression Analysis
In the modern industry the use of lasers has proven to be very useful due to the high precision and quality of cut. Important indicators of the cutting surface quality are roughness of the cutting surface and . In this research experiment is performed to analyse the influence of laser power , cutting speed and assist gas pressure as independent variables on dependent variables and during HSG fiber laser cutting of 1.4307 DIN stainless steel plates, 1 mm thick, using nitrogen as assist gas. During the experiment 75 samples are cut and 225 values of each cutting surface roughness and are measured. Data obtained during the experiment are analysed using regression analysis. Mathematical model is developed for each independent variable and depending on the significant independent variables. Surface roughness values are compared and analysed according to the quality categories defined by ISO 9013: 2002 (E). It can be seen that regression analysis is good tool in modelling cutting surface quality and .