4.7 Article

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

Journal

ACTA MATERIALIA
Volume 246, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.actamat.2022.118552

Keywords

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

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Non-destructive evaluation techniques can rapidly identify the health of mission-critical nuclear reactor components by inferring material properties of interest based on measurable properties, such as surface acoustic wave peak splitting correlating with embrittlement induced by spinodal decomposition.
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 decompositioninduced 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 delta-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.

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