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Article

Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model

by
Christian Gruber
1,*,
Peter Raninger
1,
Aleksandar Stanojevic
2,
Flora Godor
2,
Markus Rath
3,
Ernst Kozeschnik
3 and
Martin Stockinger
4
1
Materials Center Leoben Forschung GmbH, 8700 Leoben, Austria
2
Voestalpine BÖHLER Aerospace GmbH & Co KG, 8605 Kapfenberg, Austria
3
TU Wien, Institute of Materials Science and Technology, 1060 Vienna, Austria
4
Department for Product Engineering, Montanuniversität Leoben, 8700 Leoben, Austria
*
Author to whom correspondence should be addressed.
Materials 2021, 14(1), 111; https://doi.org/10.3390/ma14010111
Submission received: 1 December 2020 / Revised: 18 December 2020 / Accepted: 23 December 2020 / Published: 29 December 2020
(This article belongs to the Special Issue Forging Processes of Materials)
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Abstract

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.
Keywords: alloy 718; microstructure modeling; multi-class grain size; dynamic recrystallization; meta-dynamic recrystallization; screw press; hammer forging alloy 718; microstructure modeling; multi-class grain size; dynamic recrystallization; meta-dynamic recrystallization; screw press; hammer forging

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MDPI and ACS Style

Gruber, C.; Raninger, P.; Stanojevic, A.; Godor, F.; Rath, M.; Kozeschnik, E.; Stockinger, M. Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model. Materials 2021, 14, 111. https://doi.org/10.3390/ma14010111

AMA Style

Gruber C, Raninger P, Stanojevic A, Godor F, Rath M, Kozeschnik E, Stockinger M. Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model. Materials. 2021; 14(1):111. https://doi.org/10.3390/ma14010111

Chicago/Turabian Style

Gruber, Christian, Peter Raninger, Aleksandar Stanojevic, Flora Godor, Markus Rath, Ernst Kozeschnik, and Martin Stockinger. 2021. "Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model" Materials 14, no. 1: 111. https://doi.org/10.3390/ma14010111

APA Style

Gruber, C., Raninger, P., Stanojevic, A., Godor, F., Rath, M., Kozeschnik, E., & Stockinger, M. (2021). Simulation of Dynamic and Meta-Dynamic Recrystallization Behavior of Forged Alloy 718 Parts Using a Multi-Class Grain Size Model. Materials, 14(1), 111. https://doi.org/10.3390/ma14010111

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