A5101736262- Textile materials and evaluations
- Mechanical Behavior of Composites
- Industrial Vision Systems and Defect Detection
- Vibration and Dynamic Analysis
- Advanced Sensor and Control Systems
- Structural Analysis and Optimization
- Color Science and Applications
- Heat Transfer Mechanisms
- Robotic Mechanisms and Dynamics
- Embedded Systems and FPGA Design
- Smart Materials for Construction
- Advanced Sensor and Energy Harvesting Materials
- Lattice Boltzmann Simulation Studies
- Cellular and Composite Structures
- Mechanical stress and fatigue analysis
- Simulation and Modeling Applications
- Structural Analysis of Composite Materials
- Teleoperation and Haptic Systems
- Iterative Learning Control Systems
- Advanced Algorithms and Applications
- Manufacturing Process and Optimization
- Tactile and Sensory Interactions
- Mechanical Engineering and Vibrations Research
- Advanced Measurement and Detection Methods
- Industrial Automation and Control Systems
Zhejiang Sci-Tech University
2016-2025
Zhejiang Institute of Modern Textile Industry
2022-2024
Civil Aviation University of China
2024
Zhejiang Institute of Mechanical and Electrical Engineering
2002-2024
Shanghai Maritime University
2024
China Aerospace Science and Technology Corporation
2023
Hangzhou Academy of Agricultural Sciences
2020
Zhejiang University of Science and Technology
2006-2010
Zhejiang University
2002-2005
Zhejiang Institute of Science and Technology Information
2001-2004
This paper presents a novel flexible tactile sensor for triaxial force dynamic measurement based on piezoelectric elastomer. The elastomer is composite of polyvinylidene fluoride (PVDF) terpolymer and polydimethylsiloxane (PDMS), multi-wall carbon nanotubes (MWCNTs) are added into the to improve piezoelectricity. placed under PDMS bump divided four sensing units by attaching separated copper electrodes. Electrical charges generated corresponding contact amplitudes component forces in three...
Facing the shift in weaving industry from mass production to a more diversified, small-batch model, traditional scheduling systems are no longer capable of meeting demand for rapid market response. To address this issue, paper first analyzes process workshop, identifying key challenges such as order allocation, equipment selection, and operation sequencing. Based on analysis, flexible job shop multi-objective model tailored workshops is developed. handle multiple constraints optimization...
The diversity of weaving equipment has led to inconsistencies in communication protocols, impeding data collection and interoperability between devices, ultimately reducing production efficiency. Additionally, fabric defects significantly impact product quality, while current visual inspection technologies are primarily reactive traditional quality prediction methods often exhibit considerable errors. This study leverages the standardization features open platform communications unified...
In order to solve the problems of noise, blurring, and loss detail in fabric defect images due camera location factory environments, a image denoising method based on improved generative adversarial network (GAN) is proposed. A mathematical model developed simulate noisy blemishes real environment. GAN, as deep learning widely used field computer vision, generates high-quality data samples through competition between generators discriminators. this study, traditional GAN by introducing...
Abstract. To address the unstructured on-site work requirements in shipyards and large-steel-structure manufacturing plants, this paper develops a 4SRRR (where S is spherical R rotational) quadruped wall-climbing robot, establishes dynamic analytical model, analyzes its natural frequencies. First, Timoshenko beam elements, which consider shear deformation, are used to replace Euler–Bernoulli control equations for each element established. The Lagrangian equation then derive rods. Second,...
Abstract HgTe colloidal quantum dots (CQDs) have gained significant interest due to their extremely wide spectral response and excellent solution processability, making them promising candidates for the next‐generation infrared photodetectors. However, limited availability of p ‐type CQDs poses a challenge device construction. In this study, room‐temperature process is identified – one based on cation exchange preparation Au‐doped CQDs. The resultant exhibit tunable doping, enhanced defect...
This paper proposes a novel flexible tactile sensor array for dynamic triaxial force measurement. Piezoresistive nanofibers, which are fabricated via the electrospinning method and composed of multi-wall carbon nanotubes (MWCNTs) thermoplastic polyurethane (TPU), selected as sensing material. The sensitive piezoresistive layer, has micron-scale thickness, is wrapped in polydimethylsiloxane (PDMS) with bumped surface. structure not only detects forces different magnitudes frequencies, but...
Abstract A decoupling method is proposed for the elastic stiffness modeling of hybrid robots based on rigidity principle, screw theory, strain energy, and Castigliano’s second theorem. It enables parallel serial modules, as well individual contributions each component to mechanism’s performance. The implemented follows: (1) formulate limb constraint wrenches corresponding matrix theory (2) overall modules end principle virtual work, wrench transfer formula, energy methods, (3) obtain...
This study proposes an ensemble differential evolution online sequential extreme learning machine (DE-OSELM) for textile image illumination correction based on the rotation forest framework. The DE-OSELM solves inaccuracy and long training time problems associated with traditional algorithms. First, Grey–Edge framework is used to extract low-dimensional efficient features as (OSELM) input vectors improve speed of OSELM. Since weight hidden-layer bias OSELMs are randomly obtained, OSELM...
The dielectric properties of cotton fabric, polyester and polyester/cotton blended fabrics with different moisture content (MC), grammage, composition ratio were tested under 10-GHz microwave in free space. A uniform padder was developed to ensure a distribution the fabric. power-law mixing model then adopted simplified describe MC dependence constant loss factor. Two equivalent factors K <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub>...
Abstract The wall‐climbing robot is a growing trend for robotized intelligent manufacturing of large and complex components in shipbuilding, petrochemical, other industries, while several challenges remain to be solved, namely, low payload‐to‐weight ratio, poor surface adaptability, ineffective traversal maneuverability, especially on noncontinuous surfaces with internal corners (non‐CSIC). This paper designs high ratio wheeled which can travel non‐CSIC effectively payload capacity up 75 kg,...