Optimization of Alloy Chemistry for Maximum Stress and Time-To-Rupture at High Temperature

Author:

Yegorov-Egorov Igor,Dulikravich George

Publisher

American Institute of Aeronautics and Astronautics

Reference14 articles.

1. Bayesian Neural Network Analysis of Fatigue Crack Growth Rate in Nickel Base Superalloys.

2. 2Jones, J. and MacKay, D. J. C. "Neural Network Modeling of the Mechanical Properties of Nickel Base Superalloys", 8th Int. Symposium on Superalloys, Seven Springs, PA, eds. R. D. Kissinger et al., published byTMS, 1996,pp.417-424.

3. Tensile properties of mechanically alloyed oxide dispersion strengthened iron alloys Part 1 - Neural networkmodels

4. 4Dulikravich, G. S., Egorov, I. N., Sikka, V. K. and Muralidharan, G. "Semi-Stochastic Optimization of Chemical Composition of High-Temperature Austenitic Steels for Desired Mechanical Properties", 2003 TMS Annual Meeting, Yazawa International Symposium: Processing and Technologies, TMS Publication, (eds: Kongoli, F., Itakagi, K., Yamaguchi, C. and Sohn, H.Y.), Vol.1, 2003, pp.801-814.

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