Impacts of Process Parameters on the Substrate Distortion of PAW-Based Rapid Prototyping

Article Preview

Abstract:

A low-cost direct metal RP process based on the plasma arc welding (PAW) is presented. The impacts of two important process parameters (pulse current and wire-feeding speed) on the distortion of the substrate are investigated. The temperature field and the distortion of the depositing process are simulated by finite element analysis. The results show that the heat input and the quantity of the metal fed into the molten pool influence the distortion of the substrate. Higher pulse current and wire-feeding speed will bring on larger distortion.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 462-463)

Pages:

1002-1007

Citation:

Online since:

January 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D. King and T. Tansey: Rapid tooling: Journal of Materials Processing Technology Vol. 132, Iss. 1-3 (2003), p.42.

Google Scholar

[2] J.C. Ferreira: Journal of Materials Processing Technology Vol. 155-156, Iss. 1-3 (2004), p.1111.

Google Scholar

[3] D. Cormier, O. Harrysson and H. West: Rapid Prototyping Journal Vol. 10, No. 1, (2004), p.35.

Google Scholar

[4] J. Rabinovich: Advanced Materials and Processes Vol. 161, No. 1 (2003), p.47.

Google Scholar

[5] J. Mazumder, D. Dutta, N. Kikuchi and A. Ghosh: Optics and Lasers in Engineering Vol. 34, Iss. 4-6 (2000), p.397.

Google Scholar

[6] F.G. Arcella and F.H. Froes: Journal of the Minerals Metals & Materials Society Vol. 52. No. 5 (2000), p.28.

Google Scholar

[7] Y. A. Song, S. Park, D. Choi and H. Jee: International Journal of Machine Tools and Manufacture Vol. 45, No. 9 (2005), p.1057.

Google Scholar

[8] J.D. Spencer, P.M. Dickens and C.M. Wykes: Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture Vol. 212, No. 3 (1998), p.175.

Google Scholar

[9] H. Wang, W. Jiang, J. Ouyang and R. Kovacevic: Journal of Materials Processing Technology Vol. 148, No. 1 (2004), p.93.

Google Scholar

[10] D. Dean and M. Hidekazu: Computational materials science No. 37 (2006), p.269.

Google Scholar