Prediction of the yield strength of a secondary-hardening steel

J. S. Wang; M. D. Mulholland; G. B. Olson; D. N. Seidman

doi:10.1016/j.actamat.2013.04.052

Prediction of the yield strength of a secondary-hardening steel

J. S. Wang, M. D. Mulholland, G. B. Olson, D. N. Seidman^*

^*Corresponding author for this work

Materials Science and Engineering

Research output: Contribution to journal › Article › peer-review

149 Scopus citations

Abstract

Based on detailed three-dimensional (3-D) local-electrode atom-probe (LEAP) tomographic measurements of the properties of Cu and M₂C precipitates, the yield strength of a high-toughness secondary-hardening steel, BA160, as a function of aging time is predicted using a newly developed 3-D yield strength model. Contributions from each strengthening constituent are evaluated with the model, and superposition laws are applied to add each contribution. Prediction of the yield strength based entirely on 3-D microstructural information is thus achieved. The accuracy of the prediction depends on the superposition laws and the LEAP tomographic measurements, especially the mean radius and volume fraction of M₂C precipitates.

Original language	English (US)
Pages (from-to)	4939-4952
Number of pages	14
Journal	Acta Materialia
Volume	61
Issue number	13
DOIs	https://doi.org/10.1016/j.actamat.2013.04.052
State	Published - Aug 2013

Funding

This work was supported under the ONR/DARPA D-3-D Digital Structure Consortium Program, N00014-05-C-0241, Dr. Julie Christodoulou, program monitor. Atom-probe tomographic measurements were performed in the Northwestern University Center for Atom-Probe Tomography (NUCAPT). The LEAP tomograph was purchased and upgraded with funding from NSF-MRI (DMR-0420532) and ONR-DURIP (N00014-0400798, N00014-0610539, NOOO14-0910781) grants. The authors also gratefully acknowledge the Initiative for Sustainability and Energy at Northwestern (ISEN) for grants to upgrade the capabilities of NUCAPT. Dr. Dieter Isheim is thanked for stimulating discussions and managing NUCAPT.

Keywords

Atom-probe tomography
Precipitation strengthening
Steel
Strength modeling

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Ceramics and Composites
Polymers and Plastics
Metals and Alloys

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10.1016/j.actamat.2013.04.052

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title = "Prediction of the yield strength of a secondary-hardening steel",

abstract = "Based on detailed three-dimensional (3-D) local-electrode atom-probe (LEAP) tomographic measurements of the properties of Cu and M2C precipitates, the yield strength of a high-toughness secondary-hardening steel, BA160, as a function of aging time is predicted using a newly developed 3-D yield strength model. Contributions from each strengthening constituent are evaluated with the model, and superposition laws are applied to add each contribution. Prediction of the yield strength based entirely on 3-D microstructural information is thus achieved. The accuracy of the prediction depends on the superposition laws and the LEAP tomographic measurements, especially the mean radius and volume fraction of M2C precipitates.",

keywords = "Atom-probe tomography, Precipitation strengthening, Steel, Strength modeling",

author = "Wang, {J. S.} and Mulholland, {M. D.} and Olson, {G. B.} and Seidman, {D. N.}",

note = "Funding Information: This work was supported under the ONR/DARPA D-3-D Digital Structure Consortium Program, N00014-05-C-0241, Dr. Julie Christodoulou, program monitor. Atom-probe tomographic measurements were performed in the Northwestern University Center for Atom-Probe Tomography (NUCAPT). The LEAP tomograph was purchased and upgraded with funding from NSF-MRI (DMR-0420532) and ONR-DURIP (N00014-0400798, N00014-0610539, NOOO14-0910781) grants. The authors also gratefully acknowledge the Initiative for Sustainability and Energy at Northwestern (ISEN) for grants to upgrade the capabilities of NUCAPT. Dr. Dieter Isheim is thanked for stimulating discussions and managing NUCAPT.",

year = "2013",

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AU - Wang, J. S.

AU - Mulholland, M. D.

AU - Olson, G. B.

AU - Seidman, D. N.

N1 - Funding Information: This work was supported under the ONR/DARPA D-3-D Digital Structure Consortium Program, N00014-05-C-0241, Dr. Julie Christodoulou, program monitor. Atom-probe tomographic measurements were performed in the Northwestern University Center for Atom-Probe Tomography (NUCAPT). The LEAP tomograph was purchased and upgraded with funding from NSF-MRI (DMR-0420532) and ONR-DURIP (N00014-0400798, N00014-0610539, NOOO14-0910781) grants. The authors also gratefully acknowledge the Initiative for Sustainability and Energy at Northwestern (ISEN) for grants to upgrade the capabilities of NUCAPT. Dr. Dieter Isheim is thanked for stimulating discussions and managing NUCAPT.

PY - 2013/8

Y1 - 2013/8

N2 - Based on detailed three-dimensional (3-D) local-electrode atom-probe (LEAP) tomographic measurements of the properties of Cu and M2C precipitates, the yield strength of a high-toughness secondary-hardening steel, BA160, as a function of aging time is predicted using a newly developed 3-D yield strength model. Contributions from each strengthening constituent are evaluated with the model, and superposition laws are applied to add each contribution. Prediction of the yield strength based entirely on 3-D microstructural information is thus achieved. The accuracy of the prediction depends on the superposition laws and the LEAP tomographic measurements, especially the mean radius and volume fraction of M2C precipitates.

AB - Based on detailed three-dimensional (3-D) local-electrode atom-probe (LEAP) tomographic measurements of the properties of Cu and M2C precipitates, the yield strength of a high-toughness secondary-hardening steel, BA160, as a function of aging time is predicted using a newly developed 3-D yield strength model. Contributions from each strengthening constituent are evaluated with the model, and superposition laws are applied to add each contribution. Prediction of the yield strength based entirely on 3-D microstructural information is thus achieved. The accuracy of the prediction depends on the superposition laws and the LEAP tomographic measurements, especially the mean radius and volume fraction of M2C precipitates.

KW - Atom-probe tomography

KW - Precipitation strengthening

KW - Steel

KW - Strength modeling

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Prediction of the yield strength of a secondary-hardening steel

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Keywords

ASJC Scopus subject areas

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