High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Optimization of Process Parameters on Laser Beam Cutting Machining

Author(s):

Pandya Nilesh Pankajbhai , SWARNIM STARTUP AND INNOVATION UNIVERSITY ; Vikrant Mahajan, SWARNIM STARTUP AND INNOVATION UNIVERCITY; Gautam S Parmar, SWARNIM STARTUP AND INNOVATION UNIVERCITY; Kiran Patoliya, AASHIRWAD LASER TECH; Nairut M Shah, SWARNIM STARTUP AND INNOVATION UNIVERCITY

Keywords:

Laser Beam Machining (LBM), Surface Roughness (SR), Kerf Width, Taguchis Orthogonal Array, Laser Power, Cutting Speed, Analysis of Variance (ANOVA)

Abstract

Laser cutting of medium density fibreboard (MDF) is a complicated process and the selection of the process parameters combinations is essential to get the highest quality of the cut section. This paper presents laser cutting of MDF based on design of experiments (DOE). CO2 laser was used to cut three thicknesses 4, 6 and 9 mm of MDF panels. In this process 4mm thickness to be cut. The process factors investigated are: laser power, cutting speed. In this work, cutting quality was evaluated by measuring, kerf width, surface Roughness. The analysis of variance (ANOVA) was carried out for study the effect of process parameters on process performance. In addition mathematical models have also been developed for response parameter. Properties of the machined surface have been examined by surface roughness tester. For the different values of the two input parameters developed L9 orthogonal array by taguchi method. The surface roughness of MDF material is measure with the surface roughness tester SJ-410 to measure accurate value of roughness. To measure kerf width of digital vernier calliper used. The effect of each factor on the quality measures was determined and special graphs were drawn for this purpose. The optimal cutting combinations were presented in favours of high quality process output and in favours of low cutting cost.

Other Details

Paper ID: IJSRDV7I40211
Published in: Volume : 7, Issue : 4
Publication Date: 01/07/2019
Page(s): 69-73

Article Preview

Download Article