Polymer molding simulation–a mathematical imaging approach based on propagation of discrete distances
Computational materials science, 2000•Elsevier
A new approach to polymer molding simulation is presented, based on a mathematical
imaging algorithm (F. Darsonville, P. Michoud, G. Courbebaisse, M. Jourlin, R. Favier, JC
Charpentier, Entropy Revue 206 (1998) 61–64). A model is elaborated using discrete
propagation of distances as a tool to simulate dynamic injection. The present objective
involves the examination of this approach based on mathematical metrics. This paper
concerns recent progress in the formulation of this problem.
imaging algorithm (F. Darsonville, P. Michoud, G. Courbebaisse, M. Jourlin, R. Favier, JC
Charpentier, Entropy Revue 206 (1998) 61–64). A model is elaborated using discrete
propagation of distances as a tool to simulate dynamic injection. The present objective
involves the examination of this approach based on mathematical metrics. This paper
concerns recent progress in the formulation of this problem.
A new approach to polymer molding simulation is presented, based on a mathematical imaging algorithm (F. Darsonville, P. Michoud, G. Courbebaisse, M. Jourlin, R. Favier, J.C. Charpentier, Entropy Revue 206 (1998) 61–64). A model is elaborated using discrete propagation of distances as a tool to simulate dynamic injection. The present objective involves the examination of this approach based on mathematical metrics. This paper concerns recent progress in the formulation of this problem.
Elsevier
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