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The document discusses aging kinetics of 17-4 PH stainless steel. It analyzes the effects of aging temperature and time on strengthening behavior using artificial neural networks (ANNs). ANN modeling was able to determine hardening, overaging, and softening behaviors according to aging reactions like precipitation and coarsening of copper, recovery, and reversion of martensite to austenite. Johnson–Mehl–Avrami–Kolmogorov analysis characterized precipitation kinetics, finding time exponents around 0.465 cons

Author

Cristiano Viva

Language

EN