A5091510097- Vibration and Dynamic Analysis
- Composite Structure Analysis and Optimization
- Bladed Disk Vibration Dynamics
- Magnetic Bearings and Levitation Dynamics
- Structural Analysis and Optimization
- Nonlocal and gradient elasticity in micro/nano structures
- Gear and Bearing Dynamics Analysis
- Mechanical stress and fatigue analysis
- Advanced Materials and Mechanics
- Carbon Dioxide Capture Technologies
- Turbomachinery Performance and Optimization
- Hydraulic and Pneumatic Systems
- Aluminum Alloys Composites Properties
- Vibration Control and Rheological Fluids
- Fluid Dynamics and Vibration Analysis
- Polymer composites and self-healing
- Winter Sports Injuries and Performance
- Cryospheric studies and observations
- Engineering Structural Analysis Methods
- Tribology and Lubrication Engineering
- CO2 Sequestration and Geologic Interactions
- Enhanced Oil Recovery Techniques
- Cellular and Composite Structures
- Sports injuries and prevention
- Mechanical Behavior of Composites
Huazhong University of Science and Technology
2023-2024
Northwestern Polytechnical University
2024
Air Force Medical University
2024
Xijing Hospital
2024
Xi'an Jiaotong University
2024
Northeastern University
2016-2023
Beijing Institute of Technology
2020-2023
Dalian University of Technology
2014-2023
Universidad del Noreste
2013-2022
Harbin Institute of Technology
2022
This paper presents an investigation on vibration characteristics of graphene nanoplatelet (GPL) reinforced disk-shaft rotor with eccentric mass resting elastic supports. The shaft is made common metal material while the disk material. weight fraction nanoplatelets (GPLs) assumed to vary smoothly and continuously along thickness direction disk, which leads a functionally gradient (FG) structure. effective properties are determined via Halpin-Tsai micromechanics model rule mixture. In...
This paper investigated the modeling and free vibration characteristics of a spinning graphene nanoplatelet (GPL) reinforced porous nanocomposite blade. The blade is made foam metal matrix with nanoplatelets (GPLs). Several different GPL distributions porosity in are taken into account. effective material properties blade, determined via open-cell scheme, Halpin-Tsai model, rule mixture, assumed to be varying continuously along its thickness direction. According Kirchhoff’s plate theory,...
In this article, theoretical modeling and vibration characteristics of a spinning double-blade beam assembly restricted by elastic supports are studied. Graphene nanoplatelet (GPL) reinforcement porous foamed metal matrix adopted to make up the structure. Due nonuniformity porosity graphene nanofillers, material properties attached blades considered change along blade thickness radius, respectively. They obtained via rule mixture, open-cell scheme Halpin-Tsai micromechanics model. These...
In recent decades, one of the scientists’ main concerns has been to improve accuracy satellite attitude, regardless expense. The obvious result is that a large number control strategies have used address this problem. study, an adaptive neuro-fuzzy integrated system (ANFIS) for attitude estimation and was developed. controller trained with data provided by optimal controller. Furthermore, pulse modulator generate right ON/OFF commands thruster actuator. To evaluate performance proposed in...
This paper focuses on the prognosis problem in manufacturing of electronic chips for devices. Electronic devices are great importance at present, which popularly applied daily life. The basis supporting device is powerful chip and its technology. Chip has been one most important technologies recent years. etching machine key equipment process wafers manufacturing. Due to high demands precise manufacturing, monitoring health state predicting remaining useful life (RUL) system quite important....
Purpose Extreme vibration environmental poses significant challenges to the fatigue life of aircraft cables. This study aims propose a novel method investigate fretting wear cable under random vibration. Design/methodology/approach In presented method, degradation data and machine learning (ML) are used capture complex, non-linear relationships between rate (Δ s /Δ t ) initial worn thickness. Three ML algorithms – k-nearest neighbor (KNN), support vector regression (SVR) forest (RFR)...