An artificial neural network-based algorithm, which adequately captures the complexity of the temper embrittlement phenomenon in NiCrMoV steels has been developed in order to predict the FATT50% value of material as a function of the chemical composition and serviced time. The model, validated using published data, relies for its training on a very large experimental data set of serviced rotors, aged up to 88, 000 hours, and it captures the interactions between input parameters using complex non-linear functions. The results agree with considerations reported in literature and provide analytical relations between evolution of the FATT50% value at various ageing time for a specific alloy compositions, as well as the influence of the main elements in the alloy composition.
Modelling thermal ageing embrittlement in turbine rotors using neural networks / Zonfrillo, G.; Nappini, D.. - ELETTRONICO. - 3B:(2014), pp. 1-7. (Intervento presentato al convegno ASME Turbo Expo 2014 tenutosi a Düsseldorf (Germany) nel June 16–20 2014) [10.1115/GT2014-25443].
Modelling thermal ageing embrittlement in turbine rotors using neural networks
ZONFRILLO, GIOVANNI;NAPPINI, DUCCIO
2014
Abstract
An artificial neural network-based algorithm, which adequately captures the complexity of the temper embrittlement phenomenon in NiCrMoV steels has been developed in order to predict the FATT50% value of material as a function of the chemical composition and serviced time. The model, validated using published data, relies for its training on a very large experimental data set of serviced rotors, aged up to 88, 000 hours, and it captures the interactions between input parameters using complex non-linear functions. The results agree with considerations reported in literature and provide analytical relations between evolution of the FATT50% value at various ageing time for a specific alloy compositions, as well as the influence of the main elements in the alloy composition.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.