Abstract
Samples of mild steel have been cut on a CO2 laser machine using the principle of laser assisted oxygen cutting (LASOX). The combined effects of input process parameters (cutting speed, gas pressure, laser power and stand off distance) on cut quality (heat affected zone (HAZ) width, kerf width and surface roughness) have been studied. Regression analysis has been used to develop models that describe the effect of the independent process parameters on cut quality. Using the developed model, we attempted to optimize the input parameters that would improve the cut quality (minimization of HAZ width, kerf width and surface roughness), increase the productivity and minimize the total operation cost. We found from the study that the gas pressure and cutting speed had pronounced effect on cut quality. Low gas pressure produces lower HAZ width, lower kerf width and good surface finish whereas increase in speed results in higher HAZ width, lower kerf width and good surface finish.
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References
Steen WM (1991) Laser materials processing. Springer, London
Powell J (1998) CO2 Laser cutting. Springer, London
Neill WO, Gabzdyl JT (2000) New developments in laser-assisted oxygen cutting. Opt Lasers Eng 34:355–367
Steen WM, Kamalu JN (1983) Laser materials processing. North Holland, New York
Decker RJ, Atzert U (1984) Physical models and technological aspects of laser gas cutting. Proceedings of SPIE - The International Society of Optical Engineering, Industrial Applications of High Power Lasers, Austria 81–87
Ivarson PJ, Kamalu J, Magnusson C (1994) The oxidation dynamics of laser cutting of mild steel and the generation of striations on the cut edge. J mater Process Technol 40:359–374
Karatasa C, Kelesb O, Uslanb I, Usta Y (2006) Laser cutting of steel sheets: Influence of workpiece thickness and beam waist position on kerf size and striation formation. J Mater Process Technol 172:22–29
Lamikiz A, López de Lacalle LN, Sánchez JA, del Pozo D, Etayo JM, López JM (2005) CO2 laser cutting of advanced high strength steels. Appl Surf Sci 242:362–368
Gunaraj V, Murugan N (1999) Application of response surface methodology for predicting weld bead quality in SAW of pipes. J Mater Process Technol 88:266–275
Allen TT, Richardson RW, Tagliable DP, Maul GP (2002) Statistical process design for robotic GMA welding of sheet metal. Welding Journal 69–77, May
Dongcheol K, Rhee S, Park H (2002) Modelling and optimisation of a GMA welding process by genetic algorithm and response surface methodology. Int J Prod Res 40:1699–1711
Design-Expert Software (2000) Version 6, User’s Guide, Technical Manual, Stat-Ease Inc., Minneapolis, MN
Montgomery DC (1984) Design and analysis of experiments. Wiley, New York
Khuri AI, Cornell JA (1996) Response surfaces design and analysis. Marcel Dekker, New York
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Sundar, M., Nath, A.K., Bandyopadhyay, D.K. et al. Effect of process parameters on the cutting quality in lasox cutting of mild steel. Int J Adv Manuf Technol 40, 865–874 (2009). https://doi.org/10.1007/s00170-008-1413-9
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DOI: https://doi.org/10.1007/s00170-008-1413-9