A5088671126- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Fault Detection and Control Systems
- Engineering Diagnostics and Reliability
- Microstructure and mechanical properties
- Magnesium Alloys: Properties and Applications
- Mineral Processing and Grinding
- Structural Health Monitoring Techniques
- High Temperature Alloys and Creep
- Ultrasonics and Acoustic Wave Propagation
- Antenna Design and Analysis
- Advanced machining processes and optimization
- Hydrogen Storage and Materials
- Anomaly Detection Techniques and Applications
- Electromagnetic Simulation and Numerical Methods
- Advanced Surface Polishing Techniques
- Antenna Design and Optimization
- Radar Systems and Signal Processing
- Thermography and Photoacoustic Techniques
- Advanced Sensor and Control Systems
- 2D Materials and Applications
- Welding Techniques and Residual Stresses
- Electromagnetic Scattering and Analysis
- Graphene research and applications
- MXene and MAX Phase Materials
Northwestern Polytechnical University
2023-2024
State Key Laboratory of Millimeter Waves
2022-2023
Southeast University
2022-2023
Dalian University of Technology
2020
Brown University
2017-2019
California Institute of Technology
2017
Controlled band gap engineering is crucial to the design of next-generation, flexible, two-dimensional (2D) electronic nanodevices. In 2D materials, defects have shown promise in manipulating properties. Unfortunately, only a small number topological are available leading current open problem overcoming challenges tailoring material We propose exploitation twin boundaries, as they can, principle, be generated under controlled circumstances (e.g. by applying shear deformation or shuffling...
The efficient broadband monostatic radar cross section (RCS) of the electrically large and deep morphing S-shape cavity calculation is a challenge in computational electromagnetic. Moreover, traditional electromagnetic computing method can be very time-consuming because highly complex computations RCS must repeated each time structure modified. To tackle these difficulties, artificial neural networks (ANNs) are proposed to reduce cost conventional methods, data-driven ANNs model trained with...
The vertical surface is a common and typical characteristic structure among Nomex honeycomb core components. However, the conventional high-speed milling ultrasonic cutting struggle to meet high-quality machining requirements of surface. In this study, an trepanning method proposed special tool developed, aiming improve quality further studied from aspects dimensional error incision quality. Based on kinematic characteristics trepanning, theoretical model in established. Meanwhile, influence...
Abstract Skin is an important structural component which covers the surface of aircraft widely, health skin has a great impact on overall safety aircraft. Due to harsh operating environment, complex and changing working conditions, high-intensity service process aircraft, it easy cause damage skin. Thus, in-situ monitoring for effective approach ensure its reliability. Thanks ability Lamb waves propagate over long distances recognize small-scale defects, they have shown potential in...
To expedite the design process of platform-based dual-antenna mutually coupled layout, inverse artificial neural networks(ANNs) model is proposed, which can directly generate layout to match expected electromagnetic response. In this ANNs model, two antenna coupling performance S-parameter regarded as input, and corresponding discrete points are output. Once training completed, proposed provide antennas located point without an optimization process. last, examples presented demonstrate...
Non-contact sensing technology plays an important role in the health monitoring of gearbox. However, a single non-contact measurement is challenging to achieve simultaneous structural and non-structural damage. This paper proposes diagnosis framework based on information fusion infrared thermal (IRT) images acoustic data (AIFN-IA). Firstly, converted into by nonhyperparameter encoding method fused with IRT images. Secondly, shuffle attention module introduced network adaptively focus fault...