Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model
Dynamic and meta-dynamic recrystallization occur during forging of alloy 718 aircraft parts and thus change the microstructure during a multistep production route. Since the prediction of the resulting grain structure in a single grain fraction is not able to describe microstructures with bimodal or...
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MDPI AG
2020-12-01
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Online Access: | https://www.mdpi.com/1996-1944/14/1/111 |
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author | Christian Gruber Peter Raninger Aleksandar Stanojevic Flora Godor Markus Rath Ernst Kozeschnik Martin Stockinger |
author_facet | Christian Gruber Peter Raninger Aleksandar Stanojevic Flora Godor Markus Rath Ernst Kozeschnik Martin Stockinger |
author_sort | Christian Gruber |
collection | DOAJ |
description | Dynamic and meta-dynamic recrystallization occur during forging of alloy 718 aircraft parts and thus change the microstructure during a multistep production route. Since the prediction of the resulting grain structure in a single grain fraction is not able to describe microstructures with bimodal or even multimodal distributions, a multi-class grain size model has been deployed to describe the recrystallization mechanisms during thermomechanical treatments and predict the resulting grain size distributions more accurately. As forging parameters, such as temperature, strain rate and maximum strain influence the flow curve and consequently the recrystallization behavior, a series of double cone compression experiments has been carried out and used to verify and adapt the material parameters for the multi-class grain size model. The recrystallized fractions of the numerical and experimental results are compared and differentiated in view of the recrystallization mechanism, i.e., dynamic and meta-dynamic recrystallization. The strong dependence of the recrystallization kinetics on the initial grain size is highlighted, as well as the influence of different strain rates, which shall represent typical forging equipment. |
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institution | Directory Open Access Journal |
issn | 1996-1944 |
language | English |
last_indexed | 2024-03-10T13:41:50Z |
publishDate | 2020-12-01 |
publisher | MDPI AG |
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spelling | doaj.art-92a3abb719f34e47bee4b6873abb16a82023-11-21T02:59:49ZengMDPI AGMaterials1996-19442020-12-0114111110.3390/ma14010111Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size ModelChristian Gruber0Peter Raninger1Aleksandar Stanojevic2Flora Godor3Markus Rath4Ernst Kozeschnik5Martin Stockinger6Materials Center Leoben Forschung GmbH, 8700 Leoben, AustriaMaterials Center Leoben Forschung GmbH, 8700 Leoben, AustriaVoestalpine BÖHLER Aerospace GmbH & Co KG, 8605 Kapfenberg, AustriaVoestalpine BÖHLER Aerospace GmbH & Co KG, 8605 Kapfenberg, AustriaTU Wien, Institute of Materials Science and Technology, 1060 Vienna, AustriaTU Wien, Institute of Materials Science and Technology, 1060 Vienna, AustriaDepartment for Product Engineering, Montanuniversität Leoben, 8700 Leoben, AustriaDynamic and meta-dynamic recrystallization occur during forging of alloy 718 aircraft parts and thus change the microstructure during a multistep production route. Since the prediction of the resulting grain structure in a single grain fraction is not able to describe microstructures with bimodal or even multimodal distributions, a multi-class grain size model has been deployed to describe the recrystallization mechanisms during thermomechanical treatments and predict the resulting grain size distributions more accurately. As forging parameters, such as temperature, strain rate and maximum strain influence the flow curve and consequently the recrystallization behavior, a series of double cone compression experiments has been carried out and used to verify and adapt the material parameters for the multi-class grain size model. The recrystallized fractions of the numerical and experimental results are compared and differentiated in view of the recrystallization mechanism, i.e., dynamic and meta-dynamic recrystallization. The strong dependence of the recrystallization kinetics on the initial grain size is highlighted, as well as the influence of different strain rates, which shall represent typical forging equipment.https://www.mdpi.com/1996-1944/14/1/111alloy 718microstructure modelingmulti-class grain sizedynamic recrystallizationmeta-dynamic recrystallizationscrew press |
spellingShingle | Christian Gruber Peter Raninger Aleksandar Stanojevic Flora Godor Markus Rath Ernst Kozeschnik Martin Stockinger Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model Materials alloy 718 microstructure modeling multi-class grain size dynamic recrystallization meta-dynamic recrystallization screw press |
title | Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model |
title_full | Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model |
title_fullStr | Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model |
title_full_unstemmed | Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model |
title_short | Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model |
title_sort | simulation of dynamic and meta dynamic recrystallization behavior of forged alloy 718 parts using a multi class grain size model |
topic | alloy 718 microstructure modeling multi-class grain size dynamic recrystallization meta-dynamic recrystallization screw press |
url | https://www.mdpi.com/1996-1944/14/1/111 |
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