As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

The hot deformation behaviors of FGH98 nickel-based powder superalloy were
experimentally investigated and theoretically analyzed by Arrhenius models and machine …

Abstract Al 2 O 3/Al 6 Ti 2 O 13 composite ceramics with low thermal expansion properties
are promising for the rapid preparation of large-scale and complex components by directed …

Additive manufacturing technology is highly regarded due to its advantages, such as high
precision and the ability to address complex geometric challenges. However, the …

Accurate prediction of the creep life is important during the alloy design and optimization of
nickel-based single crystal superalloys, especially for those with expensive alloying …

After shot peening, single crystal superalloy specimens were subjected to thermal aging at
different temperatures for 4 h. The surface layer structures were observed, and the rotary …

With the aim of further improvement of the high temperature creep resistance performance of
Ni-based superalloys, the composition optimization of Mo, W and Ti elements in second …

A machine learning strategy is proposed based on the demand for prediction of solid-liquid
phase transition temperature properties of multi-component precious metal alloys. Firstly, the …

Gaussian process regression machine learning with a physically-informed kernel is used to
model the phase compositions of nickel-base superalloys. The model delivers good …

A machine learning (ML) process on composition optimization was performed to design Ni-
based turbine disc superalloys with improved yield strength. Based on published data of …