Results 141 to 150 of about 2,136,117 (274)

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

open access: yesMaterials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li   +8 more
wiley   +1 more source

Detecting Loosening of Bolt‐Flanged Pipe Using Smoothed Pseudo Wigner–Ville Distribution: Digital Twin‐Based Approach Using Convolution Neural Networks

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this paper, an integrated digital twin‐based fault‐diagnosis framework is proposed to detect bolt loosening in flanged pipe connections. The approach combines finite element‐based numerical modeling, experimental modal analysis, and advanced signal processing‐assisted deep learning to achieve reliable loosening detection under operational ...
Milad Shabani Yousefabad   +4 more
wiley   +1 more source

Dynamic Analysis of Electrically Assisted Turbocharger Rotor Considering Contact Effects in Nut Structures

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The rotor system of an electrically assisted turbocharger (EAT) is composed of multiple shaft components; The nonlinear connection and contact effects make it difficult to determine the system dynamic characteristics. To improve the modeling accuracy of EAT rotor system and evaluate the influence of contact between multi‐axis components and ...
Wenchao Liang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy