Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-53914-5_43
Reference19 articles.
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3. Chatti, S.: Effect of the Elasticity Formulation in Finite Strain on Springback Prediction. Computers and Structures 88(11-12), 796–805 (2010), http://www.sciencedirect.com/science/article/pii/S004579491000074X
4. Chatti, S., Hermi, N.: The Effect of Non-linear Recovery on Springback Prediction. Computers and Structures 89(13-14), 1367–1377 (2011)
5. El-Salhi, S., Coenen, F., Dixon, C., Khan, M.: Identification of correlations between 3d surfaces using data mining techniques: Predicting springback in sheet metal forming. In: Bramer, M., Petridis, M. (eds.) Research and Development in Intelligent Systems XXIX, pp. 391–404. Springer, London (2012)
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1. An intelligent process model: predicting springback in single point incremental forming;The International Journal of Advanced Manufacturing Technology;2014-10-05
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