University of Oulu

Ghosh, S., Wang, S., Singh, H., King, G., Xiong, Y., Zhou, T., Huttula, M., Kömi, J., & Cao, W. (2022). Quantitative prediction of yield strength of highly alloyed complex steel using high energy synchrotron X-ray diffractometry. Journal of Materials Research and Technology, 20, 485–495. https://doi.org/10.1016/j.jmrt.2022.07.066

Quantitative prediction of yield strength of highly alloyed complex steel using high energy synchrotron X-ray diffractometry

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Author: Ghosh, Sumit1,2; Wang, Shubo1,3; Singh, Harishchandra1,3;
Organizations: 1Centre for Advanced Steels Research, University of Oulu, FIN-90014, Finland
2Materials and Mechanical Engineering, University of Oulu, FIN-90014, Finland
3Nano and Molecular Systems Research Unit, University of Oulu, FIN-90014, Finland
4Canadian Light Source, 44 Innovation Blvd., Saskatoon, Saskatchewan S7N 2V3, Canada
5School of Materials Science and Engineering, Henan University of Science and Technology, Luoyang, 471023, Henan, China
6Collaborative Innovation Center of Nonferrous Metals, Luoyang, 471023, Henan, China
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022091659241
Language: English
Published: Elsevier, 2022
Publish Date: 2022-09-16
Description:

Abstract

The overwhelming impact of complex-phase microstructures to mechanical response in multiphase steels requires accurate constitutive properties of the individual phases. However, precise prediction of individual phase properties to their mechanical response is critical and sophisticated, and commonly requires multiscale characterizations and numerous approximations. In this work, by employing full phase information and semi-empirical analytical models, we accurately predict the yield strength of deformed variants of Ce-modified SAF2507 super duplex stainless steel (SDSS). High energy synchrotron X-ray diffraction (HE-SXRD) reveals the phase fractions of major phases along with secondary phases of Cr₂N and eutectic CexFey. Average lattice strain/crystallite size of the austenite and ferrite/martensite phases from the measured volume is estimated through the Williamson-Hall method. A unique composite strengthening type analytical model is used to estimate yield strength by taking individual strengthening contributions from all phases, their grain sizes, stored dislocation densities, solid solution, and precipitates. Close agreement between reconstructed and experimental yield strength is observed for several cold and cryogenic rolled SDSS. A combination of HE-SXRD and analytical model offers a time-effective virtual design pathway to engineer high-strength steel.

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Series: Journal of materials research and technology
ISSN: 2238-7854
ISSN-E: 2214-0697
ISSN-L: 2238-7854
Volume: 20
Pages: 485 - 495
DOI: 10.1016/j.jmrt.2022.07.066
OADOI: https://oadoi.org/10.1016/j.jmrt.2022.07.066
Type of Publication: A1 Journal article – refereed
Field of Science: 216 Materials engineering
Subjects:
Funding: The authors acknowledge Academy of Finland grant No. #311934 for the financial support. The research described in this paper was performed at the Canadian Light Source, a national research facility of the University of Saskatchewan, which is supported by the Canada Foundation for Innovation (CFI), the Natural Sciences and Engineering Research Council (NSERC), the National Research Council (NRC), the Canadian Institutes of Health Research (CIHR), the Government of Saskatchewan, and the University of Saskatchewan. The Center for Materials Analysis, University of Oulu is also acknowledged for the in-house characterizations. The authors also acknowledge National Natural Science Foundation of China (# 51801054 and U1804146), Program for Science, Technology Innovation Talents in Universities of Henan Province (# 17HASTIT026), Science and Technology Innovation Team of Henan University of Science and Technology (# 2015XTD006), and Foreign Experts and Wisdom Introduction Program in Henan Province (# HNGD2020009)for the financial support.
Academy of Finland Grant Number: 311934
Detailed Information: 311934 (Academy of Finland Funding decision)
Copyright information: © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
  https://creativecommons.org/licenses/by-nc-nd/4.0/