Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals

Computational homogenization permits to capture the influence of the microstructure on the cyclic mechanical behavior of polycrystalline metals. In this work we investigate methods to compute Laguerre tessellations as computational cells of polycrystalline microstructures, propose a new method to as...

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Autor principal: Kuhn, Jannick
Format: Online
Idioma:anglès
Publicat: KIT Scientific Publishing 2023
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Accés en línia:https://library.oapen.org/handle/20.500.12657/62301
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author Kuhn, Jannick
author_browse Kuhn, Jannick
author_facet Kuhn, Jannick
author_sort Kuhn, Jannick
collection Directory of Open Access Books
description Computational homogenization permits to capture the influence of the microstructure on the cyclic mechanical behavior of polycrystalline metals. In this work we investigate methods to compute Laguerre tessellations as computational cells of polycrystalline microstructures, propose a new method to assign crystallographic orientations to the Laguerre cells and use Bayesian optimization to find suitable parameters for the underlying micromechanical model from macroscopic experiments.
format Online
id doab-20.500.12854ir-99178
institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-991782025-05-27T05:57:32Z Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals Kuhn, Jannick Polykristalline Metalle; Ermüdung; Mikromechanische Modellierung; Laguerre-Kachelungen; Texturkoeffizienten-Optimierung; Polycrystalline metals; Fatigue; Micromechanical modeling; Laguerre tessellations; Texture coefficients optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials Computational homogenization permits to capture the influence of the microstructure on the cyclic mechanical behavior of polycrystalline metals. In this work we investigate methods to compute Laguerre tessellations as computational cells of polycrystalline microstructures, propose a new method to assign crystallographic orientations to the Laguerre cells and use Bayesian optimization to find suitable parameters for the underlying micromechanical model from macroscopic experiments. 2023-04-18T09:58:58Z 2023-04-18T09:58:58Z 2023-04-07T10:04:47Z 2023 book https://library.oapen.org/handle/20.500.12657/62301 9783731512721 https://directory.doabooks.org/handle/20.500.12854/99178 eng Schriftenreihe Kontinuumsmechanik im Maschinenbau open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/62301/1/microstructure-modeling-and-crystal-plasticity-parameter-identification-for-predicting-the-cyclic-mechanical-behavior-of-polycrystalline-metals.pdf https://library.oapen.org/bitstream/20.500.12657/62301/1/microstructure-modeling-and-crystal-plasticity-parameter-identification-for-predicting-the-cyclic-mechanical-behavior-of-polycrystalline-metals.pdf https://library.oapen.org/bitstream/20.500.12657/62301/1/microstructure-modeling-and-crystal-plasticity-parameter-identification-for-predicting-the-cyclic-mechanical-behavior-of-polycrystalline-metals.pdf https://library.oapen.org/bitstream/20.500.12657/62301/1/microstructure-modeling-and-crystal-plasticity-parameter-identification-for-predicting-the-cyclic-mechanical-behavior-of-polycrystalline-metals.pdf https://library.oapen.org/bitstream/20.500.12657/62301/1/microstructure-modeling-and-crystal-plasticity-parameter-identification-for-predicting-the-cyclic-mechanical-behavior-of-polycrystalline-metals.pdf KIT Scientific Publishing 10.5445/KSP/1000154640 10.5445/KSP/1000154640 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512721 AG Universitätsverlage 224 open access
spellingShingle Polykristalline Metalle; Ermüdung; Mikromechanische Modellierung; Laguerre-Kachelungen; Texturkoeffizienten-Optimierung; Polycrystalline metals; Fatigue; Micromechanical modeling; Laguerre tessellations; Texture coefficients optimization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
Kuhn, Jannick
Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals
title Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals
title_full Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals
title_fullStr Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals
title_full_unstemmed Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals
title_short Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals
title_sort microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals
topic Polykristalline Metalle; Ermüdung; Mikromechanische Modellierung; Laguerre-Kachelungen; Texturkoeffizienten-Optimierung; Polycrystalline metals; Fatigue; Micromechanical modeling; Laguerre tessellations; Texture coefficients optimization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
topic_facet Polykristalline Metalle; Ermüdung; Mikromechanische Modellierung; Laguerre-Kachelungen; Texturkoeffizienten-Optimierung; Polycrystalline metals; Fatigue; Micromechanical modeling; Laguerre tessellations; Texture coefficients optimization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
url https://library.oapen.org/handle/20.500.12657/62301
work_keys_str_mv AT kuhnjannick microstructuremodelingandcrystalplasticityparameteridentificationforpredictingthecyclicmechanicalbehaviorofpolycrystallinemetals