[1] D. Xu, R. Malhotra, N. V. Reddy, J. Chen, and J. Cao, Analytical prediction of stepped feature generation in multi-pass single point incremental forming, Journal of Manufacturing Processes, 14 (2012) 487–494.
[2] A. Kumar, V. Gulati, P. Kumar, Investigation of Surface Roughness in Incremental Sheet Forming Procedia Computer Science, 133 (2018) 1014–1020.
[3] M. Vahdati, R. A. Mahdavinejad, S. Amini, M. Moradi,Statistical Analysis and Optimization of Factors Affecting the Surface Roughness in the UVaSPIF Process Using Response Surface Methodology,Journal of Advanced Materials and Processing, 3 (2015) 15-28.
[4] M. Vahdati, R. Mahdavinejad and S. Amini, Investigation of the ultrasonic vibration effect in incremental sheet metal forming process, Proc. IMechE, Part B: J Engineering Manufacture, 1–12 IMechE, (2015).
[5] V. Mugendiran, A. Gnanavelbabu, R. Ramadoss, Parameter optimization for surface roughness and wall thickness on AA5052 Aluminium alloy by incremental forming using response surface methodology, Procedia Engineering, 97 (2014) 1991 – 2000.
[6] S. Kurra, N. H. Rahman, S. P. Regalla, A. K. Gupta, Modeling and optimization of surface roughness in single point incremental forming process, J. of Material Research and Technology, 4 (2015) 304-313.
[7] E. Hagan and J. Jeswiet, Analysis of surface roughness for parts formed by computer numerical controlled incremental forming, Proc. Instn Mech. Engrs., 218 (2004) Part B: J. Engineering Manufacture.
[8] V. Mugendiran, A. Gnanavelbabu, R. Ramadoss, Parameter optimization for surface roughness and wall thickness on AA5052 aluminium alloy by incremental forming using response surface methodology, Procedia Eng. 97 (2014) 1991–2000.
[9] S.P. Shanmuganatan, V.S. Senthil Kumar, Experimental investigation and finite element modeling on profile forming of conical component using Al 3003(O) alloy, Mater. Des. 36 (2012) 564–569.
[10] A. Mulay, B. S. Ben, S. Ismail, A. Kocanda, Prediction of average surface roughness and formability in single point incremental forming using artificial neural network, Archives of Civil and Mechanical Engineering, 19 (2019) 1135-1149.