Predicting multiaxial fatigue life of FGH96 superalloy based on machine learning models by considering failure process and loading paths

Author:

Xie Ren-Kui,Zhong Xian-CiORCID,Qin Sheng-Huan,Zhang Ke-ShiORCID,Wang Yan-Rong,Wei Da-Sheng

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Modeling and Simulation

Reference61 articles.

1. Powder metallurgy of superalloys;Gessinger,1984

2. Investigations of inhomogeneous mechanical properties and plastic deformations in HIPed P/M nickel-base superalloy FGH96 by using micro-indentation methods;Zhang;Mater Sci Eng A,2012

3. Mechanistic behaviour and modelling of creep in powder metallurgy FGH96 nickel superalloy;Peng;Mater Sci Eng A,2016

4. Microstructural characterization of dislocation movement during creep in powder metallurgy FGH96 superalloy;Peng;Mater Today Commun,2020

5. Status and development of powder metallurgy nickel-based disk superalloys. Int;Yang;J Mater Res,2019

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