A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel

M. Vittorietti; J. Hidalgo Garcia; J. Galan Lopez; J. Sietsma; G. Jongbloed

doi:10.3390/ma15030892

A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel

M. Vittorietti^*, J. Hidalgo Garcia, J. Galan Lopez, J. Sietsma, G. Jongbloed

^*Corresponding author for this work

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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.

Original language	English
Article number	892
Number of pages	20
Journal	Materials
Volume	15
Issue number	3
DOIs	https://doi.org/10.3390/ma15030892
Publication status	Published - 2022

Keywords

synthetic microstructure
stress–strain diagram
FPCA
Voronoi diagrams
Voce law
linear mixed-effects model

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10.3390/ma15030892

materials-15-00892Final published version, 2.77 MBLicence: CC BY

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title = "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. ",

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author = "M. Vittorietti and {Hidalgo Garcia}, J. and {Galan Lopez}, J. and J. Sietsma and G. Jongbloed",

year = "2022",

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journal = "Materials",

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T1 - A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel

AU - Vittorietti, M.

AU - Hidalgo Garcia, J.

AU - Galan Lopez, J.

AU - Sietsma, J.

AU - Jongbloed, G.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - synthetic microstructure

KW - stress–strain diagram

KW - FPCA

KW - Voronoi diagrams

KW - Voce law

KW - linear mixed-effects model

U2 - 10.3390/ma15030892

DO - 10.3390/ma15030892

M3 - Article

SN - 1996-1944

VL - 15

JO - Materials

JF - Materials

IS - 3

M1 - 892

ER -

A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel

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