Jianrong Tan (谭建荣)

PhD, Professor. Academician of the Chinese Academy of Engineering. 

Head of Department of Design Engineering and Automation

Mechanical engineering experts, master of engineering and doctor of science, distinguished professor of Zhejiang University. Mainly engaged in mechanical design and digital manufacturing research, and put forward the combination of batch and custom mass customization design technology, engineering transition state, fuzzy state, random state model and digital prototype integrated simulation technology, combination of numerical and geometric complicated equipment multi-unit association, multi-level configuration and parameter matching analysis technology, won 7 national awards, including national science and technology progress second prize 4 items, the national outstanding teaching achievements first prize 1 item, second prize 2 items, awarded provincial scientific and technological progress first prize seven items; Put into use the proposed technique in software, develop and access 12 computer software copyright which have successful applications in a number of manufacturing enterprises. Published 8 books, 142 papers in SCI/EI.

In 2007, was elected to the Chinese Academy of Engineering.

Shuyou Zhang (张树有)

PhD, Professor. Qiushi Distinguished Professor of Zhejiang University

Director of Institute of Design Engineering

Shuyou Zhang, PhD, professor, doctoral supervisor, administer of Institute of Design Engineering, assistant director of Computer Graphics Professional Committee for China Engineering Graphic Society, member of Product Digital Design Professional Committee, chairman of Zhejiang Engineering Graphic Society, engaged in the research work for the technology of product digital design, technology of design and stimulation for complex equipments, engineering and computer graphics and the key technology for enterprise informatization, the visiting scholar of the University of California at Davis, rewarded as the outstanding youth team of Zhejiang Training Young Scientist Foundation, obtained the first level key funding of Zhejiang Province ‘151 Talent Project’, honored as ‘Aged and Young Experts with Outstanding Contributions in Zhejiang Province’, gain the State allowance.

As a project principal, Dr. Zhang undertook one National Natural Science Foundation project, two National Sci-Tech Support Plan subjects, three National 863 Plan projects, 6 Zhejiang Provincial Natural Science Foundation projects, 6 Zhejiang Key Scientific and Technological projects, over 20 cooperation and development programs for enterprises. He has published over 100 academic papers in which over 70 papers are collected in SCI/EI journals. He got one paper of 100 the most excellent papers in China Science journals, and three excellent papers of Zhejiang Natural Science. He has one academic book (coauthor) published in center press and two textbooks (one of chief editors) aimed at the 21st century. it has been awarded the Second Prize of National Science & Technology Progress， 4 first Prizes of Zhejiang Provincial and Ministry of Education Science & Technology Progress. He also got the national outstanding teaching achievements prize (once First Class and twice Second Class).

Zili Wang (王自立)

PhD, Associate Researcher. Founder and Director of the ZJU-Tube Lab

Principle Investigator

He is mainly engaged in the research of design and manufacturing methods of metal plastic forming equipment, multidisciplinary coupled equipment shape optimization design, and design theory for the integration of equipment and process. As the person in charge, he presided over more than ten projects including the National Natural Science Foundation (Youth, General) Project, the National Key R&D Program Sub-Project, the Zhejiang Province Pioneer Leading Goose Project, the Zhejiang Province Basic Public Welfare Project, and the Enterprise Horizontal Project. He has published more than 80 SCI papers, including more than 40 as the first author/corresponding author, and has authorized 2 US invention patents, 1 Japanese invention patent, and more than 30 Chinese invention patents. The research results have been successfully applied in the design and manufacturing of major national equipment such as difficult-to-process metal pipe forming equipment, high-end CNC machine tools, 1,000-ton injection molding equipment, and ultra-high-speed escalators, and won 1 provincial and ministerial first prize and 3 second prizes. He serves as a member of the Computer Graphics Professional Committee of the Chinese Society of Graphics, a young editorial board member of the Journal of Intelligent Manufacturing and Special Equipment, a guest editor of the Applied Science Special Issue "AI-Enhanced Metal/Alloy Forming", and a reviewer for more than 20 international journals including IEEE Transactions on Neural Networks and Learning Systems, Materials & Design, International Journal of Mechanical Sciences, Future Generation Computer Systems, Engineering Applications of Artificial Intelligence, and won the 2023 FGCS Outstanding Reviewer Award.

lew@zju.edu.cn

3D point cloud deep learning techniques such as completion, registration, and controlled generation for shape prediction and process optimization in spatial metal tube manufacturing.

jieli_me@zju.edu.cn

Specializing in tube bending equipment design and digital twin modeling, with expertise in AI techniques like deep learning and optimization algorithms to advance intelligent manufacturing.

12425135@zju.edu.cn

High-fidelity springback prediction of RDB-tube and FB-tube using graph neural networks and transfer learning, and learning-based free pipe routing in aero engines.

xyz2022@zju.edu.cn

Bent tube flexible forming theory, knowledge-based defect prediction and optimization, and digital design of tube bending equipment.

12225058@zju.edu.cn

RDB cross-section prediction, small sample prediction, and pipe-in-pipe interlayer configuration design, with vibration damping structures.

cassandra_fumengyu@vip.163.com

Energy absorption and auxetic behavior in tubular metamaterials, utilizing optimization algorithms, geometric parameter studies, and FE simulation to enhance mechanical performance.

RDB thermal-assisted process quality prediction, process parameter optimization, and pipeline routing design and accuracy allocation, utilizing  deep learning and optimization algorithms.

12425111@zju.edu.cn

RDB mandrel structure parameters optimization, pipeline routing design, and proficiency in using various deep learning and optimization algorithms.

yuezong@zju.edu.cn

Simulation analysis of the free bending process, springback prediction, and optimization algorithms. Trajectory planning for composite winding forming.

12325137@zju.edu.cn

22325105@zju.edu.cn

RDB visual recognition, online measurement, defect prediction, and digital twin, with various deep learning algorithms.

22325204@zju.edu.cn

Multi-roller bending process spatial tube axial accuracy prediction, using deep neural networks and intelligent optimization algorithms for improved precision and process reliability.

497549626@qq.com

Predicting and compensating for springback in the bending of tubes with spatially varying curvature.

Received master's degree in 2020.

cassandra_fumengyu@vip.163.com

RDB springback prediction, cross-section deformation analysis, and bending optimization for bi-layered metallic tubes, utilizing advanced neutral layer extraction methods, composite material modeling, and FE simulations.

Received master's degree in 2021.

sun_chang@zju.edu.cn

RDB product monitoring, springback prediction, and process parameters optimization, with various machine learning, optimization algorithm and explainable methods.

Received master's degree in 2023.

Dynamic predictions of tube cross-sectional defects and optimizing sequential predictions to enhance accuracy and robustness in high-end engineering applications, with Bo-LSTM networks integrated with Bayesian optimization.

Received master's degree in 2023.

A mysterious predecessor—always delivering progress and feedback in ways that are as surprising as they are mind-boggling.

Received master's degree in 2022.

1748545908@qq.com

Real-time stress-strain field reconstruction and spatio-temporal wrinkling factor prediction for tube bending driven by real-time data and FE data, based on GAN and Informer.

Received master's degree in 2024.