A5061732797- Advanced Materials and Mechanics
- Manufacturing Process and Optimization
- Multi-Criteria Decision Making
- Product Development and Customization
- Advanced Sensor and Energy Harvesting Materials
- Quality Function Deployment in Product Design
- Risk and Safety Analysis
- Sustainable Supply Chain Management
- Metal Forming Simulation Techniques
- Soft Robotics and Applications
- Engineering Diagnostics and Reliability
- Additive Manufacturing and 3D Printing Technologies
- Metallurgy and Material Forming
- Modular Robots and Swarm Intelligence
- Probabilistic and Robust Engineering Design
- Fault Detection and Control Systems
- Structural Analysis and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Digital Transformation in Industry
- Robot Manipulation and Learning
- Laser and Thermal Forming Techniques
- Machine Learning and ELM
- Advanced Manufacturing and Logistics Optimization
- Micro and Nano Robotics
- Advanced Battery Technologies Research
Zhejiang University
2013-2024
Ningbo University
2024
Zhejiang Province Institute of Architectural Design and Research
2024
Guizhou University
2024
Ningbo University of Technology
2023
China University of Mining and Technology
2015
Soft grippers based on stimuli‐responsive materials show great promise to perform safe interaction and adaptive functions in unstructured environments. Hence, improving flexibility designability of the soft for better grasping ability are highly desired. Inspired by biological structure octopuses, a class temperature‐driven polylactic acid is fabricated 4D printing this work, which consists two types bilayer structures, separately imitating web tentacles an octopus. Compared with traditional...
Abstract With the increasing attention to state and role of people in intelligent manufacturing, there is a strong demand for human-cyber-physical systems (HCPS) that focus on human-robot interaction. The existing manufacturing system cannot satisfy efficient collaborative work. However, unlike machines equipped with sensors, human characteristic information difficult be perceived digitized instantly. In view high complexity uncertainty body, this paper proposes framework building digital...
Abstract Blank holder force (BHF) is a crucial parameter in deep drawing, having close relation with the forming quality of sheet metal. However, there are different BHFs maintaining best effect stages drawing. The variable blank (VBHF) varying drawing stage can overcome this problem at an extent. optimization VBHF to determine optimal BHF every stage. In paper, new heuristic algorithm named Jaya introduced solve efficiently. An improved “Quasi-oppositional” strategy added for improving...
Industry 5.0 is conceived to achieve the expected high level of smart manufacturing and more proactive adaptive human-robot collaboration (HRC). In particular, handover tasks (HRHTs) are a notably crucial aspect HRC, resolving how motivate robots comprehend human intentions constitutes an exigent issue that demands resolution. To address these problems, A framework integrates hierarchical digital twin (HHDT) deep domain adaptation proposed, where HHDT model built digitise physical...
In the 6G-IoT convergence ecosystem, UAV path planning for static environments is systematically investigated as a resource coordination problem where communication demands and terrain constraints are balanced through intelligent trajectory optimization. The innovation of this paper lies in proposal an interactive cylinder vector teaching–learning-based optimization (ICVTLBO) algorithm, points represented cylindrical coordinates, targeted strategies proposed during teacher learner phases to...
Energy Internet represents a critical breakthrough that allows traditional energy to be transformed into intelligent energy. In this regard, the reliability apportionment technologies for modern products within deserve more attention because they can ensure optimization of different functional modules systems. And growingly serious crisis, environmental protection has become much urgent, which requires industrial friendly. However, methods not do this. First, in design phase product, most...
Abstract Precise customer requirements acquisition is the primary stage of product conceptual design, which plays a decisive role in quality and innovation. However, existing mining approaches pay attention to offline or online comment feedback there has been little quantitative analysis analogical reasoning environment. Latent innovative can be expressed by inspiration distinctly. In response, this paper proposes semantic analysis-driven method for design based on deep transfer learning...
Magnetic liquid metal droplets, featured by unique fluidity, metallic conductivity, and magnetic reactivity, are of growing significance for next-generation flexible electronics. Conventional fabrication routes, which typically incorporate nanoparticles into metals, otherwise encounter the pitfall pertaining to surface adhesivity corrosivity over device modules. Here, an innovative approach synergizing metals with 2D materials is presented, accordingly creating chromium(III)-telluride-coated...
Surface defect detection by machine vision has received increased attention concerning the quality control of universal joint bearings (UJB). The distribution and counting information are important for product optimisation. However, UJB remains a challenging task due to diversity background textures characters on multiple surfaces. In this study, multi-surface (MSDD) method consisting region segmentation, feature extraction is proposed. First, regions accurately localised proposed adaptive...
Adaptable product platforms, which express a platform's modular and scalable combinations, are well suited for representing the complex mechanical composition of series products. Current adaptable platform design methods, however, still have certain limitations, such as an insufficient basis functional modules classification, unstable classified results due to experience-based thresholds, limited scope because reliance on performance mathematical models. Given hierarchical model...
Quality data in manufacture process has the features of mixed type, uneven distribution, dimension curse and coupling. To apply massive manufacturing quality effectively to analysis enterprise, pre-processing algorithm based on equivalence relation is employed select characteristic hybrid preprocess data. KML-SVM (Optimised kernel-based manifold learning support vector machines algorithm) proposed. KML adopted solve problems curse. SVM classify predict low-dimensional embedded data, as well...