Optimization of Plasma Cutting Parameters on Dimensional Accuracy and Machining Time for Low Carbon Steel
Engineering and Technology Journal,
2020, Volume 38, Issue 8, Pages 1160-1168
AbstractThis work aims to study the influence of plasma arc cutting parameters on dimensional accuracy and machining time for mild steel (1010) material with the thickness (4 mm). Selected three cutting parameters (arc current, cutting speed, and arc distance) or the experimental work. 12 tests have been performed at each test one parameter has been changed with four various levels and other parameters are constant. The influence of the cutting parameters on response results (dimensional accuracy and machining time) have been studied and analyzed by using response surface methodology (RSM) using the second-order model and main effect plot have been generated of each parameter on response results by using ANOVA depended on results of response surface analysis. The results of the response surface analysis showed that the important influencing parameters on dimensional accuracy were cutting speed and arc current as well as on deviation of dimensional accuracy, and the machining time is further affected with the current more than the cutting speed and the standoff distance. The outcomes of response surface analysis showed that the optimal setting of the cutting parameters to obtain at high dimensional accuracy were (arc current= 110 A, cutting speed = 4000 m/min, arc distance = 2mm) and to obtain on less machining time was (arc current= 110 A, cutting speed = 4000 m/min, arc distance = 5mm)
 D. M. Pandya, V. M. Patel, and K. B. Patel, “A Review paper on study and optimization of process parameter in plasma arc cutting,” International Journal for Research in Applied Science and Engineering Technology (IJRASET), Vol. 7, Issue I, Jan 2019.
 K. Rana, P. Kaushik, and S. Chaudhary, “Optimization of plasma arc cutting by applying Taguchi method,” International Journal of Enhanced Research in Science Technology & Engineering, ISSN, pp. 2319-7463, 2013.
 D. Begic, M. Kulenovic, A. Cekic, and E. Dedic, “Some experimental studies on plasma cutting quality of low alloy steel,” Annals and Proceedings of DAAAM International, Vol. 23, No.1, pp. 183-186, 2012.
 H.A.G. EL-Hofy, “Advanced machining processes,” McGraw-Hill, Production Engineering Department Alexandria University, Egypt, 2007.
 M. Harnicarova, J. Zajac, and A. Stoic., “A Comparison of different material cutting technologies in terms of their impact on the cutting quality of structural steel,” Technical Gazette, 17, Vol. 3, pp. 371–376, 2010.
 M. Kenan, B. Derzija, P. Mugdim, and C. Ahmet, “Optimization of process parameters in plasma arc cutting using Tosi’s method, ” Proceedings of the 29th DAAAM International Symposium, pp. 0202-0209, B. Katalinic (Ed.), Vienna, Austria, 2018.
 P. Ivan, N. Bogdan, D. Aleksandar, and V. Ivica, “Modeling of kerf width in plasma jet metal cutting process using ANN approach,” Tehnički vjesnik , Vol. 25, pp. 401-406, Croatia , 2018.
 S. B. Patel, T. K. Vyas, “Parametric investigation of plasma arc cutting on aluminum alloy 6082,” ICIIIME, Vol. 5, Issue 6, 2017.
 D. k. Naik, and K.P. Maity, “Optimization of dimensional accuracy in plasma arc cutting process employing parametric modelling approach,” IOP Conf. Series: Materials Science and Engineering, NCPCM 2017, Vol. 338, pp. 12-39, 2018.
 D. Kountouras, S. Papanikolaou, P. Intzevidou, J. Kechagias, and S. Maropoulos, “The Influence of micro structural aspects on a parameter design of carbon steel plate CNC plasma arc-cutting,” Scientific Works of University of Food Technologies, Vol. lxi, 2014.
 R. Adalarasan, M. Santhanakumar, and M. Rajmohan, “Application of grey Taguchi-based response surface methodology (gt-rsm) for optimizing the plasma arc cutting parameters of 304l stainless steel,” Int. J. Advanced Manufacturing Technology, Springer-Verlag, London, 2014.
 K. Kadirgama, M. M. Noor, W. S. W. Harun, and K. A. Aboue-El-Hossein, “Optimization of heat affected zone by partial swarm optimization in air plasma cutting operation,” J. of Scientific and Industrial Research, Vol. 69, pp. 439-443, June, 2010.
- Article View: 15
- PDF Download: 4