Date Received: Jun 18, 2020
Date Published: Dec 31, 2020
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An investigation on the effect of cutting parameters in CNC plasma cutting process for carbon steel
Keywords
Manufacturing, plasma cutting, surface roughness, Taguchi method
Abstract
The effect of technological parameters such as gas pressure, cutting current, standoff distance, and cutting speed on the cutting surface quality of CNC plasma cutting process was investigated. The experiment was carried out by Bruco CNC plasma cutting machine for CT3 steel with different thicknesses. The quality characteristics examined included the ability to cut out samples, the slag formation on the surface, the surface roughness, and the cut angle. The analysis of the results was made using the Taguchi method in order to determine the contribution of each-individual parameter to the cutting quality, especially surface roughness. The obtained results show that the value of cutting current should be set up at a real value in order to cut out of the sample. The air pressure strongly affected the slag formation. The surface roughness was mainly affected by the standoff distance and air pressure, whereas the cutting speed and cutting current were the minor influencing parameters.
References
Arakerimath R. & Kumar V. (2015). Taguchi based parametric analysis and optimization of power consumption and kerf in plasma arc machining. International Journal of Engineering and Management Research. Special Issue: 12-16.
Bahram A. (2009). Optimising the automated plasma cutting process by design of experiments. International Journal of Rapid Manufacturing. 1(1): 19-40.
Bhowmicka S., Basub J., Majumdarc G. & Bandyopadhyayc A. (2018). Experimental study of plasma arc cutting of AISI 304 stainless steel. Materials Today: Proceedings. 5: 4541-4550.
Colombo V., Concetti A., Dallavalle S., Fazziioli R., Ghedini E. & Vancini M. (2009). Optimization of plasma arc cutting of mild steel thin plates. Journal of High Temperature Material Processes. 13(3): 267-285.
Guo S., Zhou Q., Guo W. & Xu P. (2010). Computational analysis of a double nozzle structure plasma cutting torch. Plasma Chemistry and Plasma Processing. 30: 121-140.
Ilii S. M., Coteata M. & Munteanu A. (2010). Experimental results concerning the variation of surface roughness parameter (Ra) at plasma arc cutting of a stainless steel workpiece. International Journal of Modern Manufacturing Technologies. 2(1): 31-36.
Kechagias J., Stavropoulos P., Maropoulos S. & Salonitis K. (2014). On the multi-parameter optimization of CNC plasma-arc cutting process quality indicators using Taguchi Design of Experiments. The 13th International Conference on Instrumentation, Measurement, Circuits and Systems - IMCAS '14. December 15-17, 2014. Istanbul, Turkey. 128-133.
Kumar S. (2018). Experimental study on parameters optimization in CNC plasma arc cutting (AISI 206 steel) using Taguchi approach. International Journal of Technical Research and Science. 3(6): 198-205.
Losub A., Nagit G. & Neguescu F. (2008). Plasma cutting of composite materials. International Journal of Material Forming Supply. 1: 1347-1350.
Ozek C., Caydas U. & Unal E. (2011). A fuzzy model for predicting surface roughness in plasma arc cutting of AISI 4140 stell. Materials and Manufacturing Processes. 27(1): 95-102.
Salonitisa K. & Vatousianosb S. (2012). Experimental investigation of the plasma arc cutting process. Procedia CIRP. 3: 287-292
Patela P., Sonia S., Kotkundeb N. & Khannaa N. (2018). Study the effect of process parameters in plasma arc cutting on Quard-400 material using analysis of variance. Materials Today: Proceedings. 5: 6023-6029.
Teja S. S., Karthik G., Sampath S. & Shai M. (2015). Experimental investigation to study the impact of machining parameters on mild steel using plasma arc cutting. International Journal of Engineering Research and Applications. 5(8): 83-88.
Tsiolikas A., Kechagias J. & Salonitis K. (2016). Optimization of cut surface quality during CNC plasma arc cutting process. International Journal of Systems Application, Engineering and Development. 10: 305-308.