Detecting Thermally-Induced Spinodal Decomposition with Picosecond Ultrasonics in Cast Austenitic Stainless Steels

Saleem Abdulfattah Ahmed Al Dajani; Benjamin Reid Dacus; Cody A. Dennett; M. Grace Burke; Lawrence Waldron; Thak Sang Byun; James J. Wall; Kuba Bar Din Anglin; Omar Abdulfattah Ahmed Al Dajani; Konrad J. Krakowiak; Franz J. Ulm; Alan Schwartzmann; C. Cem Tasan; Peter Hosemann; Michael Philip Short

doi:10.1016/j.actamat.2022.118552

Detecting Thermally-Induced Spinodal Decomposition with Picosecond Ultrasonics in Cast Austenitic Stainless Steels

Saleem Abdulfattah Ahmed Al Dajani, Benjamin Reid Dacus, Cody A. Dennett, M. Grace Burke, Lawrence Waldron, Thak Sang Byun, James J. Wall, Kuba Bar Din Anglin, Omar Abdulfattah Ahmed Al Dajani, Konrad J. Krakowiak, Franz J. Ulm, Alan Schwartzmann, C. Cem Tasan, Peter Hosemann, Michael Philip Short

Radiation Effects and Microstructural An

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

4 Scopus citations

Abstract

Destructive techniques to monitor nuclear reactor component health may not always be available during service, as they are time-consuming and often require pre-installed inspection coupons. Non-destructive evaluation (NDE) techniques can bridge this gap by rapidly identifying the state of mission-critical reactor components, via inference between NDE-measurable material properties and those of ultimate interest, such as ductility and toughness. Here, we demonstrate one such inference about the health of thermally aged cast austenitic stainless steels. Observations of surface acoustic wave peak (SAW) splitting correlate with spinodal decomposition-induced embrittlement as destructively measured by Charpy impact energy. Elastodynamic calculations and molecular dynamics simulations of the effects of spinodal decomposition on elastic moduli support that the new acoustic modes present are due to stiffening in the δ-ferrite domains. This discovery enables one to probe structure-property relationships in materials in a greatly accelerated manner, suggesting that similar inference methods can be used to determine material fitness-for-service, or to quickly uncover new structure-property relationships.

Original language	English
Article number	118552
Journal	Acta Materialia
Volume	246
DOIs	https://doi.org/10.1016/j.actamat.2022.118552
State	Published - Mar 1 2023

Funding

The authors acknowledge generous financial support from the International Design Center (IDC) at the Massachusetts Institute of Technology (MIT) in collaboration with the Singapore University of Technology and Design (SUTD). M.P.S. acknowledges funding from the US Nuclear Regulatory Commission’s MIT Nuclear Education Faculty Development Program under Grant No. NRC-HQ-84-15-G-0045. S.A.A. acknowledges financial support from Raidah Saleem A. Al Baradie, Abdul Fattah Ahmed A. Al Dajani, the Strategic National Advancement (SNA) division at KAUST through the KAUST Gifted Student Program (KGSP) scholarship, as well as the Manson Benedict (1932) Fellowship from the Department of Nuclear Science and Engineering at MIT. C.A.D. acknowledges support through the INL Laboratory Directed Research & Development (LDRD) Program under DOE Idaho Operations Office Contract DE-AC07-05ID14517. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1122374 and 174530. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s), do not necessarily reflect the views of the National Science Foundation.

Funders	Funder number
Department of Nuclear Science and Engineering
National Science Foundation	1122374, 174530
U.S. Department of Energy	DE-AC07-05ID14517
U.S. Nuclear Regulatory Commission	NRC-HQ-84-15-G-0045
Massachusetts Institute of Technology
Laboratory Directed Research and Development
King Abdullah University of Science and Technology
Singapore University of Technology and Design
International Design Centre

Keywords

304-type stainless steel
316-type stainless steel
CF8
CF8M
Cast austenitic stainless steels (CASS)
Non-destructive evaluation (NDE)
Picosecond ultrasonics
SAW Analysis
Spinodal decomposition
Stainless steel
Surface acoustic wave (SAW)
Thermal aging
Thermal damage
Transient grating spectroscopy (TGS)

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10.1016/j.actamat.2022.118552

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Al Dajani, S. A. A., Dacus, B. R., Dennett, C. A., Burke, M. G., Waldron, L., Byun, T. S., Wall, J. J., Anglin, K. B. D., Al Dajani, O. A. A., Krakowiak, K. J., Ulm, F. J., Schwartzmann, A., Tasan, C. C., Hosemann, P., & Short, M. P. (2023). Detecting Thermally-Induced Spinodal Decomposition with Picosecond Ultrasonics in Cast Austenitic Stainless Steels. Acta Materialia, 246, Article 118552. https://doi.org/10.1016/j.actamat.2022.118552

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title = "Detecting Thermally-Induced Spinodal Decomposition with Picosecond Ultrasonics in Cast Austenitic Stainless Steels",

abstract = "Destructive techniques to monitor nuclear reactor component health may not always be available during service, as they are time-consuming and often require pre-installed inspection coupons. Non-destructive evaluation (NDE) techniques can bridge this gap by rapidly identifying the state of mission-critical reactor components, via inference between NDE-measurable material properties and those of ultimate interest, such as ductility and toughness. Here, we demonstrate one such inference about the health of thermally aged cast austenitic stainless steels. Observations of surface acoustic wave peak (SAW) splitting correlate with spinodal decomposition-induced embrittlement as destructively measured by Charpy impact energy. Elastodynamic calculations and molecular dynamics simulations of the effects of spinodal decomposition on elastic moduli support that the new acoustic modes present are due to stiffening in the δ-ferrite domains. This discovery enables one to probe structure-property relationships in materials in a greatly accelerated manner, suggesting that similar inference methods can be used to determine material fitness-for-service, or to quickly uncover new structure-property relationships.",

keywords = "304-type stainless steel, 316-type stainless steel, CF8, CF8M, Cast austenitic stainless steels (CASS), Non-destructive evaluation (NDE), Picosecond ultrasonics, SAW Analysis, Spinodal decomposition, Stainless steel, Surface acoustic wave (SAW), Thermal aging, Thermal damage, Transient grating spectroscopy (TGS)",

author = "{Al Dajani}, {Saleem Abdulfattah Ahmed} and Dacus, {Benjamin Reid} and Dennett, {Cody A.} and Burke, {M. Grace} and Lawrence Waldron and Byun, {Thak Sang} and Wall, {James J.} and Anglin, {Kuba Bar Din} and {Al Dajani}, {Omar Abdulfattah Ahmed} and Krakowiak, {Konrad J.} and Ulm, {Franz J.} and Alan Schwartzmann and Tasan, {C. Cem} and Peter Hosemann and Short, {Michael Philip}",

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year = "2023",

month = mar,

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doi = "10.1016/j.actamat.2022.118552",

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Al Dajani, SAA, Dacus, BR, Dennett, CA, Burke, MG, Waldron, L, Byun, TS, Wall, JJ, Anglin, KBD, Al Dajani, OAA, Krakowiak, KJ, Ulm, FJ, Schwartzmann, A, Tasan, CC, Hosemann, P & Short, MP 2023, 'Detecting Thermally-Induced Spinodal Decomposition with Picosecond Ultrasonics in Cast Austenitic Stainless Steels', Acta Materialia, vol. 246, 118552. https://doi.org/10.1016/j.actamat.2022.118552

TY - JOUR

T1 - Detecting Thermally-Induced Spinodal Decomposition with Picosecond Ultrasonics in Cast Austenitic Stainless Steels

AU - Al Dajani, Saleem Abdulfattah Ahmed

AU - Dacus, Benjamin Reid

AU - Dennett, Cody A.

AU - Burke, M. Grace

AU - Waldron, Lawrence

AU - Byun, Thak Sang

AU - Wall, James J.

AU - Anglin, Kuba Bar Din

AU - Al Dajani, Omar Abdulfattah Ahmed

AU - Krakowiak, Konrad J.

AU - Ulm, Franz J.

AU - Schwartzmann, Alan

AU - Tasan, C. Cem

AU - Hosemann, Peter

AU - Short, Michael Philip

PY - 2023/3/1

Y1 - 2023/3/1

N2 - Destructive techniques to monitor nuclear reactor component health may not always be available during service, as they are time-consuming and often require pre-installed inspection coupons. Non-destructive evaluation (NDE) techniques can bridge this gap by rapidly identifying the state of mission-critical reactor components, via inference between NDE-measurable material properties and those of ultimate interest, such as ductility and toughness. Here, we demonstrate one such inference about the health of thermally aged cast austenitic stainless steels. Observations of surface acoustic wave peak (SAW) splitting correlate with spinodal decomposition-induced embrittlement as destructively measured by Charpy impact energy. Elastodynamic calculations and molecular dynamics simulations of the effects of spinodal decomposition on elastic moduli support that the new acoustic modes present are due to stiffening in the δ-ferrite domains. This discovery enables one to probe structure-property relationships in materials in a greatly accelerated manner, suggesting that similar inference methods can be used to determine material fitness-for-service, or to quickly uncover new structure-property relationships.

AB - Destructive techniques to monitor nuclear reactor component health may not always be available during service, as they are time-consuming and often require pre-installed inspection coupons. Non-destructive evaluation (NDE) techniques can bridge this gap by rapidly identifying the state of mission-critical reactor components, via inference between NDE-measurable material properties and those of ultimate interest, such as ductility and toughness. Here, we demonstrate one such inference about the health of thermally aged cast austenitic stainless steels. Observations of surface acoustic wave peak (SAW) splitting correlate with spinodal decomposition-induced embrittlement as destructively measured by Charpy impact energy. Elastodynamic calculations and molecular dynamics simulations of the effects of spinodal decomposition on elastic moduli support that the new acoustic modes present are due to stiffening in the δ-ferrite domains. This discovery enables one to probe structure-property relationships in materials in a greatly accelerated manner, suggesting that similar inference methods can be used to determine material fitness-for-service, or to quickly uncover new structure-property relationships.

KW - 304-type stainless steel

KW - 316-type stainless steel

KW - CF8

KW - CF8M

KW - Cast austenitic stainless steels (CASS)

KW - Non-destructive evaluation (NDE)

KW - Picosecond ultrasonics

KW - SAW Analysis

KW - Spinodal decomposition

KW - Stainless steel

KW - Surface acoustic wave (SAW)

KW - Thermal aging

KW - Thermal damage

KW - Transient grating spectroscopy (TGS)

UR - http://www.scopus.com/inward/record.url?scp=85145974062&partnerID=8YFLogxK

U2 - 10.1016/j.actamat.2022.118552

DO - 10.1016/j.actamat.2022.118552

M3 - Article

AN - SCOPUS:85145974062

SN - 1359-6454

VL - 246

JO - Acta Materialia

JF - Acta Materialia

M1 - 118552

ER -

Detecting Thermally-Induced Spinodal Decomposition with Picosecond Ultrasonics in Cast Austenitic Stainless Steels

Abstract

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Keywords

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