Productive automation of calibration processes for crystal plasticity model parameters via reinforcement learning

Productive automation of calibration processes for crystal plasticity model parameters via reinforcement learning

Crystal Plasticity Finite Element (CPFE), which merges crystal plasticity principles with finite element analysis, can simulate the anisotropic grain-level mechanical behaviour of polycrystalline materials. Due to the benefit of CPFE, it has been widely utilised to analyse processes such as manufact...

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Bibliographic Details
Main Authors: Jonghwan Lee, Burcu Tasdemir, Suchandrima Das, Michael Martin, David Knowles, Mahmoud Mostafavi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Materials & Design
Subjects:
Machine learning
Reinforcement learning
Crystal plasticity finite element
Calibration
Optimisation
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524008451
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