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

Journal Article · · Acta Materialia
 [1];  [2];  [2];  [3];  [4];  [5];  [6];  [7];  [2];  [2];  [2];  [2];  [2];  [8];  [2]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Univ. of California, Berkeley, CA (United States); King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia)
  2. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  3. Univ. of Manchester (United Kingdom)
  4. Imperial College, London (United Kingdom)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  6. Electric Power Research Inst. (EPRI), Charlotte, NC (United States)
  7. Northeastern Univ., Boston, MA (United States)
  8. Univ. of California, Berkeley, CA (United States)

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. Finally, 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.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE; International Design Center (IDC); Singapore University of Technology and Design (SUTD); USNRC; Raidah Saleem A. Al Baradie; Abdul Fattah Ahmed A. Al Dajani; KAUST; USDOE Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
AC05-00OR22725; AC07-05ID14517
OSTI ID:
1908077
Journal Information:
Acta Materialia, Journal Name: Acta Materialia Journal Issue: 3 Vol. 246; ISSN 1359-6454
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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