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ABSTRACT
An optimal pre-stress die design of cold backward extrusion by RSM method
The International Conference on Computational & Experimental Engineering and Sciences 2011, 18(1), 1-2. https://doi.org/10.3970/icces.2011.018.001
Abstract
In this paper, a pre-stress die design method for cold backward extrusion with a non simple hollow cylinder die by using response surface method is proposed. The radius of the interface and the absolute interference in the interface of a prestress die are chosen as the design variables. Both the two design variables are set at four levels, and then 16 combinations of design parameters are constituted totally. A finite element based code is utilized to investigate the elastic deformation characteristic under different design parameters, and the response surface method is then employed to synthesize the data sets obtained from the numerical analysis, thus establishing a maximum die effective stress prediction mode. By using the prediction model, the optimum radius and the optimum absolute interference in the interface under a certain inner pressure can be determined.Cite This Article
APA Style
Kwan, C., Wang, C. (2011). An optimal pre-stress die design of cold backward extrusion by RSM method. The International Conference on Computational & Experimental Engineering and Sciences, 18(1), 1-2. https://doi.org/10.3970/icces.2011.018.001
Vancouver Style
Kwan C, Wang C. An optimal pre-stress die design of cold backward extrusion by RSM method. Int Conf Comput Exp Eng Sciences . 2011;18(1):1-2 https://doi.org/10.3970/icces.2011.018.001
IEEE Style
C. Kwan and C. Wang, “An optimal pre-stress die design of cold backward extrusion by RSM method,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 18, no. 1, pp. 1-2, 2011. https://doi.org/10.3970/icces.2011.018.001
Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.