Thickness of thermal barrier coatings (TBCs) is closely related to the performance of hot-
section components in aero-engine. In this paper, a model of Elman neural network …

The shear strength of discontinuities with different joint wall compressive strength (DDJCS)
is an important mechanical property. In this paper, the prediction of shear strength of DDJCS …

The service life and structural safety of components are affected by the thermal ageing of
materials; therefore, a non-destructive evaluation of materials is extremely essential and …

The goal of this research is to investigate the ability of the Magnetic Flux Leakage (MFL)
method to characterize the microstructural features and corrosion performance of heat …

Precise evaluation of carburising heat treatment is necessary to avoid failure and
degradation of high-performance industrial mechanical components. In this work, a novel …

Prediction of the case depth is an important indicator to evaluate and control the surface
quality of the mechanical parts. However, a large transition zone with a smooth hardness …

Reinforced concrete structures undergo various degradation processes, mainly rebars
corrosion. Recently, magnetic non-destructive tests have been used to study the steel …

The combination of multifunctional micromagnetic testing and neural network-based
prediction models is a promising way of nondestructive and quantitative measurement of …

The correlation between multiple patterns of micromagnetic signatures and the mechanical
properties (yield strength (Rp) and tensile strength (Rm) of high-strength steel (referred to as …

Based on relationships between electromagnetic properties and microstructural changes in
steel, the current paper describes the development of an electromagnetic technique to …