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Tensile-Property Characterization of Thermally Aged Cast Stainless Steels using Neural Networks. | ||
| Basrah Journal for Engineering Science | ||
| Article 1, Volume 10, Issue 1, 2010, Pages 145-154 PDF (0 K) | ||
| Author | ||
| Atef Nema | ||
| Abstract | ||
| The effect of thermal aging on tensile properties of cast stainless steels during service in light water reactors has been evaluated and recorded by the Argonne National Laboratory. Tensile data for several experimental and commercial heats of cast stainless steel (CF-8M) are presented for predicting the change in tensile flow and yield stresses and engineering stress-strain curve as a function of time and temperature of service in the light water reactors using Neural Networks. Thermal aging increase the tensile strength of this type of steel. The result and correlation described by this work may be used for assessing thermal embitterment of cast stainless steel components. | ||
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