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Analysis and Prediction of Overlapping Effect on Inherent Deformation During the Line Heating Process

Adan Vega, Alexandra Camaño, Amaly Fong, Sheriff Rashed, Hidekazu Murakawa

Computer Modeling in Engineering & Sciences 2013, 90(2), 147-163. https://doi.org/10.3970/cmes.2013.090.147

Abstract

The inherent deformation produced by two or more overlapped heating lines is not equal to that obtained when individual deformations are simply added. Thus, the effect of overlapping on inherent deformation, need to be clarified in order to achieve full understanding of the phenomenon of plate forming by line heating. In this paper, a 3D thermal-elasto-plastic FEA has been performed to study this problem in details. Using this FEA, the influence of previous heating on the inherent deformation of overlapped heating lines, considering various conditions, is clarified. From the results of this study, a method to determine the overlapping effect is developed. Using this method, the overlapping effect, for a wide range of plate thickness and heating conditions, is easily obtained, been this, another important step toward the automation of the line heating process.

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APA Style
Vega, A., Camaño, A., Fong, A., Rashed, S., Murakawa, H. (2013). Analysis and prediction of overlapping effect on inherent deformation during the line heating process. Computer Modeling in Engineering & Sciences, 90(2), 147-163. https://doi.org/10.3970/cmes.2013.090.147
Vancouver Style
Vega A, Camaño A, Fong A, Rashed S, Murakawa H. Analysis and prediction of overlapping effect on inherent deformation during the line heating process. Comput Model Eng Sci. 2013;90(2):147-163 https://doi.org/10.3970/cmes.2013.090.147
IEEE Style
A. Vega, A. Camaño, A. Fong, S. Rashed, and H. Murakawa, “Analysis and Prediction of Overlapping Effect on Inherent Deformation During the Line Heating Process,” Comput. Model. Eng. Sci., vol. 90, no. 2, pp. 147-163, 2013. https://doi.org/10.3970/cmes.2013.090.147



cc Copyright © 2013 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.
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