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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Kreyca, Johannes
in Cooperation with on an Cooperation-Score of 37%
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Publications (4/4 displayed)
- 2023In-situ XRD investigation of σ phase precipitation kinetics during isothermal holding in a hyper duplex stainless steelcitations
- 2022Analysis and Modeling of Stress–Strain Curves in Microalloyed Steels Based on a Dislocation Density Evolution Modelcitations
- 2017Flow Stress Modelling and Microstructure Development during Deformation of Metallic Materialscitations
- 2015Modelling Microstructure Evolution in Polycrystalline Aluminium – Comparison between One- and Multi-Parameter Models with Experimentcitations
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article
Modelling Microstructure Evolution in Polycrystalline Aluminium – Comparison between One- and Multi-Parameter Models with Experiment
Abstract
<jats:p>The plastic response of an aluminium alloy type A6061 is modelled using different state parameter‐based approaches. Several of these models (one‐ and two‐parameter models) have recently been implemented into the thermo‐kinetic software package MatCalc. In the present work, a model based on the Kocks-Mecking-law is used to investigate the capabilities of one and two parameter approaches in order to model experimental data. The experimental work presented here is performed on a Gleeble 1500 thermo‐mechanical simulator for different natural ageing times. We demonstrate that one‐parameter models offer a ready‐to‐use and easy‐to‐calibrate solution for a rough correlation between flow‐curve data and microstructure. Such models describe the evolution of the average dislocation density in time. In many practical cases, a single state parameter is insufficient and multi‐parameter models must be utilized, for instance, with consideration of separate populations of dislocations in walls and subgrain interior. These approaches can consistently represent the deformation behaviour of alloys in a variety of conditions with respect to temperature and strain rates.</jats:p>