Archivio Istituzionale della RicercaDie life estimation in hot forging processes is a compelling challenge, due to the number of factors, mainly wear and plastic deformation induced by thermal effects (tempering). The extent of the heating-cooling cycle and the steady state die temperature are known only after hundredth of work cycles. In the paper a realistic work sequence of repeated forging is simulated by the Finite Elements Method on a symmetrical workpiece geometry, for ease of calculation. Tool wear and tempering-induced deformation are estimated along the complete die life cycle, with the help of Neural Network Regression.
Application of numerical simulation for the estimation of die life after repeated hot forging work cycles / D'Addona, Doriana; Antonelli, Dario. - 79:(2019), pp. 632-637. (Intervento presentato al convegno 12th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018) [https://doi.org/10.1016/j.procir.2019.02.063].
Application of numerical simulation for the estimation of die life after repeated hot forging work cycles
Dario Antonelli
2019
Abstract
Die life estimation in hot forging processes is a compelling challenge, due to the number of factors, mainly wear and plastic deformation induced by thermal effects (tempering). The extent of the heating-cooling cycle and the steady state die temperature are known only after hundredth of work cycles. In the paper a realistic work sequence of repeated forging is simulated by the Finite Elements Method on a symmetrical workpiece geometry, for ease of calculation. Tool wear and tempering-induced deformation are estimated along the complete die life cycle, with the help of Neural Network Regression.
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https://hdl.handle.net/11583/2729715
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