Machine learning assisted identification of fitting process parameters in the crystal plasticity model

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Insinööritieteiden korkeakoulu | Bachelor's thesis
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Date

2022-09-06

Department

Major/Subject

Computational Engineeringn

Mcode

ENG3082

Degree programme

Aalto Bachelor’s Programme in Science and Technology

Language

en

Pages

30

Series

Description

Supervisor

St. Pierre, Luc

Thesis advisor

Lian, Junhe

Keywords

material modeling, crystal plasticity, constitutive law, parameter calibration, DAMASK, genetic algorithm

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