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Fatigue modeling using neural networks: A comprehensive review
Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …
communities and are expected to increase rapidly due to the recent advancements in …
Simulation of residual stress and micro-plastic deformation induced by laser shock imprinting on TC4 titanium alloy aero-engine blade
In laser shock processing (LSP) of aero-engine blades, overlap marks due to spot
overlap** cause irregular surface morphology that becomes a source of cracks under …
overlap** cause irregular surface morphology that becomes a source of cracks under …
Collaborative improvement of profile accuracy and aerodynamic performance in robotic grinding of transonic compressor blade leading edge
Blade machining accuracy is critical to engine service performance. However, the intricate
curvature characteristics and exceedingly thin dimensions of the leading edge present …
curvature characteristics and exceedingly thin dimensions of the leading edge present …
Deep learning for compressed sensing-based blade vibration reconstruction from sub-sampled tip-timing signals
Blade tip-timing (BTT) signals are always seriously under sampled, so reconstruction is
much needed for vibration analysis. Blade vibration responses are sparse in order domain …
much needed for vibration analysis. Blade vibration responses are sparse in order domain …
Reliability analysis of aero-engine compressor rotor system considering cruise characteristics
B Zhao, L **e, H Li, S Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper develops an improved dynamic reliability model for compressor rotor system,
defined as a “unconventional active system” here. First, regarding to the variety of system …
defined as a “unconventional active system” here. First, regarding to the variety of system …
Damage and fracture mechanism of a nickel-based single crystal superalloy during creep at moderate temperature
S Tian, X Ding, Z Guo, J **e, Y Xue, D Shu - Materials Science and …, 2014 - Elsevier
By means of creep properties measurement, microstructure and fracture morphology
observation, an investigation has been made into the damage and fracture mechanism of a …
observation, an investigation has been made into the damage and fracture mechanism of a …
Fatigue life prediction of gray cast iron for cylinder head based on microstructure and machine learning
X Teng, J Pang, F Liu, C Zou, X Bai, S Li… - Acta Metallurgica Sinica …, 2023 - Springer
Conventional fatigue tests on complex components are difficult to sample, time-consuming
and expensive. To avoid such problems, several popular machine learning (ML) algorithms …
and expensive. To avoid such problems, several popular machine learning (ML) algorithms …
Importance measure for K-out-of-n: G systems under dynamic random load considering strength degradation
Taking the importance analysis of the compressor rotor system as an opportunity and
combining the structural characteristics of the blade, this paper proposes a dynamic …
combining the structural characteristics of the blade, this paper proposes a dynamic …
Surface residual stress detection method for aero-engine blades based on active thermal deformation excitation
Surface residual stress is made on the aero-engine blades by shot peening to improve the
fatigue life of the blades. As the service time increases, the surface residual stress is …
fatigue life of the blades. As the service time increases, the surface residual stress is …
Rheological properties of surrounding rock in deep hard rock tunnels and its reasonable support form
H Wang, W Chen, Q Wang, P Zheng - Journal of Central South University, 2016 - Springer
Second lining stability, which is the last protection in tunnel engineering, is critically
important. The rheological properties of the surrounding rock heavily affect second lining …
important. The rheological properties of the surrounding rock heavily affect second lining …