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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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Hidalgo, J.
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Topics
Publications (9/9 displayed)
- 2022A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steelcitations
- 2022A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steelcitations
- 2022Isotonic regression for metallic microstructure data: estimation and testing under order restrictionscitations
- 2022Role of planar faults in martensite formation in nano-polycrystalline iron by molecular dynamics simulationcitations
- 2021The Role of Dimensionality on the Optoelectronic Properties of Oxide and Halide Perovskites, and their Halide Derivatives
- 2021Isotonic regression for metallic microstructure datacitations
- 2020The Doping Mechanism of Halide Perovskite Unveiled by Alkaline Earth Metalscitations
- 2020Influence of M23C6 carbides on the heterogeneous strain development in annealed 420 stainless steelcitations
- 2014Mechanical and functional properties of Invar alloy for µ-MIM
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article
A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel
Abstract
This study proposes a new approach to determine phenomenological or physical relations between microstructure features and the mechanical behavior of metals bridging advanced statistics and materials science in a study of the effect of hard precipitates on the hardening of metal alloys. Synthetic microstructures were created using multi-level Voronoi diagrams in order to control microstructure variability and then were used as samples for virtual tensile tests in a full-field crystal plasticity solver. A data-driven model based on Functional Principal Component Analysis (FPCA) was confronted with the classical Voce law for the description of uniaxial tensile curves of synthetic AISI 420 steel microstructures consisting of a ferritic matrix and increasing volume fractions of M23C6 carbides. The parameters of the two models were interpreted in terms of carbide volume fractions and texture using linear mixed-effects models.