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Model Reduction for Cold Rolling Processes
Author(s) -
Seidel Jens,
Ernst Oliver G.
Publication year - 2014
Publication title -
steel research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.603
H-Index - 49
eISSN - 1869-344X
pISSN - 1611-3683
DOI - 10.1002/srin.201300220
Subject(s) - reduction (mathematics) , proper orthogonal decomposition , nonlinear system , interpolation (computer graphics) , acceleration , hardening (computing) , mathematics , flow (mathematics) , strain hardening exponent , degrees of freedom (physics and chemistry) , mechanics , computer science , materials science , geometry , physics , classical mechanics , thermodynamics , motion (physics) , quantum mechanics , layer (electronics) , artificial intelligence , turbulence , composite material
The numerical simulation of rolling processes and its acceleration by model reduction techniques is considered. The physical model is based on minimizing the deformation power by using a flow formulation and the equivalent stress and strain. The reduction uses proper orthogonal decomposition (POD) for linear terms together with the discrete empirical interpolation method (DEIM) for nonlinear terms. In particular, the hardening can be accelerated considerably. The solution can be represented by substantially fewer degrees of freedom while maintaining acceptable accuracy.