A5100405327- Manufacturing Process and Optimization
- Optical measurement and interference techniques
- Gear and Bearing Dynamics Analysis
- Adhesion, Friction, and Surface Interactions
- Simulation and Modeling Applications
- Image and Object Detection Techniques
- Additive Manufacturing and 3D Printing Technologies
- Mechanical Behavior of Composites
- Industrial Vision Systems and Defect Detection
- Advanced Vision and Imaging
- Mechanical stress and fatigue analysis
- Industrial Technology and Control Systems
- Robot Manipulation and Learning
- Robotic Path Planning Algorithms
- Additive Manufacturing Materials and Processes
- Robotic Mechanisms and Dynamics
- Advanced Measurement and Metrology Techniques
- Advanced Manufacturing and Logistics Optimization
- Image Processing Techniques and Applications
- Epoxy Resin Curing Processes
- Innovations in Concrete and Construction Materials
- Soft Robotics and Applications
- Tribology and Lubrication Engineering
- Ultrasonics and Acoustic Wave Propagation
- High Entropy Alloys Studies
Beijing Institute of Technology
2016-2025
Fujian University of Technology
2025
Tangshan College
2023-2024
Hunan University of Technology
2024
Changchun University of Science and Technology
2023
Beijing University of Posts and Telecommunications
2022
North China University of Water Resources and Electric Power
2022
University of Shanghai for Science and Technology
2021
Shanghai University of Electric Power
2021
Guangzhou Automobile Group (China)
2021
Robotic manipulation of deformable linear objects (DLOs) is important in many applications such as the assembly wire harnesses and cables manufacturing. Despite some relevant work modeling, few studies have studied comprehensive dynamic modeling precise automatic control DLOs using robots due to their high degrees freedom flexibility. To fill this gap, single-arm dual-arm robot article. First, a more model established based on discrete elastic rod model, which takes into account twisting...
Alloys produced by the selective-laser-melting process have excellent mechanical properties and their microstructures are significantly different from conventional cast alloys. In this paper, a model for predicting alloy microstructure coupling with heat transfer moving molten pool was developed using cellular automata method, morphology formation mechanism were numerically investigated. The growth kinetics of solid/liquid interface is driven thermodynamic, composition curvature...
In the present work single-lap-joint specimens with an adhesive layer of micron-scale thickness were prepared, and effects surface treatments (Milling, SAA, PAA, SB + SAA) on bond strength investigated by tensile tests analyses. The shear increases increase for milling surface, while it is not presented other treated surfaces. PAA treatment can significantly improve strength, sandblasting cannot despite roughness greatly increased. depends many characteristics, such as peak density,...
A multiphase and multi-physics model is developed for the selective laser melting process, where fluid flow, solidification, heat transfer are included. The discrete-element volume-of-fluid methods applied to generate powder bed capture free surface of melts, respectively. Physical behaviors like tension, Marangoni effect, vapor recoil, radiation considered. strategy that source allowed adaptively following a molten pool along with power leakage-free moving laser. fundamental characteristics...
Contact between solids is a ubiquitous phenomenon in engineering and an enduring topic tribology. However, material yield plateau strain hardening are common ductile metals but rarely considered contact mechanics. This work develops three-phase constitutive model that accurately describes the elastic plastic behaviors considering both hardening, then constructs finite element for of rigid flat corresponding elastoplastic hemisphere. The Taguchi method employed to conduct numerical...
Many deep learning based railway defect detection methods have been proposed in recent years. They greatly improved the efficiency and accuracy of defects detection. However, remains challenging because limited number types samples, thus, general cannot be applied. In this paper, we designed a "Perceptually Constrained Single Image Generative Adversarial Network" (PCSGAN) to expand image samples. PCSGAN uses pyramidal structure learn internal features single image. addition, masking...
Abstract In recent years, addressing ill-posed problems by leveraging prior knowledge contained in databases on learning techniques has gained much attention. this paper, we focus complete three-dimensional (3D) point cloud reconstruction based a single red-green-blue (RGB) image, task that cannot be approached using classical techniques. For purpose, used an encoder-decoder framework to encode the RGB information latent space, and predict 3D structure of considered object from different...
Surface topography of sealing interface is a key factor affecting performance. In industry, it has always been desirable to optimize the performance static seals by optimizing surface topography. The evolution leak channels and quantitative effects on rates are expected be clarified. This paper proposes novel approach calculate between surfaces for specific topographies, based three-dimensional (3D) finite-element contact analysis. First, macromechanical analysis entire structure conducted...
The medical surgical mask (MSM) has been the essential protective equipment in people's daily work. experimental purpose is to explore effects of wearing MSM on human thermal sensation, comfort, and breathing comfort office buildings summer. A total 30 healthy college students were recruited for testing. experiment was carried out a climate chamber, which can simulate collects subjects' skin temperature, microclimate mask, subjective votes, including sensory votes (TSV), (TCV), respiratory...