Topic: To be announced

Ye Ding

Shanghai Jiao Tong University

Abstract:   To be announced

Biography:   Ye Ding is a professor at the School of Mechanical Engineering and the Director of Institute of Robotics at Shanghai Jiao Tong University. He has been awarded the National Science Fund for Excellent Young Scholars, German Humboldt Research Fellowship, the Shanghai Rising-Star Program, and two First Prizes of the Natural Science Award from the Ministry of Education (2010, 2017). He serves as a member of the Editorial Board for Mechanical Science and Technology, Associate Editor of Frontiers in Manufacturing Technology, and Youth Editorial Board for Scientia Sinica Technologica. His research focuses on Robot Dynamics and Control, Robotic Machining and Manipulation, and Robot Learning. Prof. Ding has published over 70 papers in journals such as Transactions of the ASME, IEEE Transactions, and Scientia Sinica Technologica.

Design Principles of Extreme Mechanical Meta-Structures for Vibration Reduction

Xin Fang

National University of Defense Technology

Abstract:   Many applications including aircraft and spacecraft seek for structures that can bear extreme environments and provide extreme mechanical performances, especially the structures with high strength, robust tunability or small vibration. The emergence of “mechanical metamaterials or meta-structures” composed of artificially designed microstructural units, has opened new avenues for achieving these goals. However, the design principles and methods of meta-structures targeting the desired high strength, robust tunability and small vibration were elusive. The essential limitations from deformation mechanisms, construction patterns or vibration reduction mechanisms. To overcome these limitations, we propose the “chiral-twisting-buckling principle” that achieves combined high stiffness, high strength, large deformability and high energy density; we propose the “geared-based construction pattern” that achieves broad-range, continuous, smooth and robust tunability of stiffness; we propose the “wave insulation vibration isolator” that bridges a critical gap between high load capacity and low-frequency isolation; we discover the “chaotic bands and self-adaptive bandgap” for realizing ultra-low, ultra-broadband and highly efficient vibration reduction, noise radiation suppression and sound insulation. We further studies vibration properties of strongly nonlinear meta-structures immersed in high speed and high temperature fluid. These design principles and theories are general, scalable and manufacturable for practical application, offering extreme mechanical functionalities and opening new avenues in structural mechanics, shock protection, and especially the vibration control.

Biography:   Xin Fang is a Professor of National University of Defense Technology. He is mainly engaged in the research of mechanical metamaterial structures and vibration control. He is the Member of the China Youth Federation, and the Chief Scientist of a National Key Laboratory. He has published 45 Web-of-Science papers, including 18 papers in Nature, Nature Materials, Nature Communications, Physical Review Applied, Physical Review B and other journals as the independent first author. He was awarded the First Prize of Natural Science in Hunan Province. He has presided over the Excellent Youth Program of the National Natural Science Foundation of China (NSFC), the Outstanding Youth Fund of Hunan Province. He serves as the editor of Nonlinear Dynamics, Acta Mechanica Solida Sinica, etc.

Intelligent Operation and Maintenance for High-End Equipment

Yaguo Lei

Xi'an Jiaotong University

Abstract:   High-end equipment plays an important role in the fields such as aerospace, energy and power, and transportation. Faults are the potential threats to their safe and reliable operation. Intelligent operation and maintenance is a vital means to ensure the safe operation of equipment and high-quality production. The speaker will first introduce the methodologies and technologies, like deep learning, transfer learning and large model, established by his research team in the field of intelligent equipment operation and maintenance. Then, the application scenarios and typical cases of the developed intelligent diagnosis and operation and maintenance systems will be shared.

Biography:   Prof. Yaguo Lei is a Full Professor of the School of Mechanical Engineering at Xi'an Jiaotong University. He had held the research position as an Alexander von Humboldt Fellow at the University of Duisburg-Essen, Germany, and as a Postdoctoral Research Fellow at the University of Alberta, Canada. He is a Fellow of ASME, IET, and ISEAM, as well as a Senior Member of IEEE, CAA, ORSC, and CMES. He serves as a Senior Editor for Mechanical Systems and Signal Processing and an Associate Editor for IEEE Transactions on Industrial Electronics. Additionally, he is an editorial board member of over ten leading journals.

His research interests focus on big data-driven intelligent maintenance, intelligent fault diagnostics and prognostics, reliability evaluation and remaining useful life prediction. He has published four monographs and more than 100 peer-reviewed papers, with an H-index of 75 according to Google Scholar. His proposed methodologies and techniques have been widely applied in intelligent condition monitoring and diagnostic systems for renewable energy systems and other industrial domains, such as wind turbines, new-energy vehicles, and high-speed trains, etc.

Prof. Lei has received the Xplorer Prize from the New Cornerstone Science Foundation. He has been recognized as a Global Highly Cited Researcher by Clarivate Analytics and a Chinese Most Cited Researcher by Elsevier.

Dynamic Modeling and Control of Parallel Robot

Qinchuan Li

Zhejiang Sci-Tech University

Abstract:  This presentation introduces advanced methodologies in dynamic modeling and control design for parallel robots. The discussion covers key techniques to improve motion accuracy, operational flexibility, and adaptive control in robotic applications, with emphasis on real-time performance and system stability. Insights derived from research in robotic manufacturing and motion skill learning will be shared, along with recent progress and emerging trends in parallel robotic systems. The content aims to provide meaningful perspectives for advancing robotics research and industrial applications.

Biography:  Qinchuan Li is a professor at Zhejiang Sci-Tech University and dean of the school of Mechanical Engineering, and recipient of both the National science Fund for Distinguished Young scholars and the National May 1st Labor Medal. He serves as the Standing Committee Member of the Robotics Branch, Chinese Mechanical Engineering Society, the Committee Member of the Technical Committee on Collaborative Robotics, Chinese Association of Automation and the editorial board member of the Chinese Journal of Mechanical Engineering (English Edition). His primary research focuses on robotic manufacturing equipment, robot manipulation skill learning and generalization, and legged/humanoid robots. He has published over 100 papers in authoritative journals including IEEE Transactions on Robotics and Mechanism and Machine Theory, authored three academic monographs, and led more than ten national and provincial-level research projects.

Acoustic Black Holes and Their Applications in Vibration and Noise Reduction

Jinhao Qiu

Nanjing University of Aeronautics and Astronautics

Abstract:   The acoustic black hole (ABH) effect utilizes variations in structural parameters or material properties to reduce wave velocity within a structure. The most common approach to creating an ABH involves tailoring the thickness profile to concentrate energy in specific regions. Owing to their high efficiency, broadband performance, and design flexibility, ABH structures show great promise for vibration and noise reduction in thin-walled systems. This talk reviews recent progress in the modeling, analysis, implementation, and experimental characterization of ABH structures, together with their applications in vibration damping, noise control, and energy harvesting. Modeling approaches include semi-analytical wavelet methods for one-dimensional ABHs, finite element methods for two-dimensional ABHs, and wave field visualization via laser ultrasonics. Implementation strategies such as embedded ABHs and add-on ABH-based dynamic vibration absorbers (ABH-DVAs) are presented. The mechanisms of panel vibration damping through embedded ABHs and ABH-DVAs, cavity noise reduction using ABH panels, and enhanced energy harvesting performance are discussed. Finally, applications of ABH technology to noise and vibration mitigation in high-speed trains and helicopters are highlighted.

Biography:   Dr. Jinhao Qiu is currently is the Changjiang Chair Professor at the Nanjing University of Aeronautics and Astronautics. He received the Bachelor and Master degrees in mechanical engineering from Nanjing University of Aeronautics and Astronautics, China, in 1983 and 1986 respectively, and the PhD degree in mechanical engineering from Tohoku University, Japan in 1996. He was a research associate from 1986 to 1989 and lecturer 1990 to 1991 at Department of Mechanical Engineering, Nanjing University of Aeronautics and Astronautics. He was a faculty member at the Institute of Fluid Science, Tohoku University from 1992 to 2006, where he was a full professor from 2004 to 2006. Since March, 2006, he is a Changjiang Chair Professor at the Nanjing University of Aeronautics and Astronautics. In 2011, he was selected to “The Recruitment Program of Global Experts”. His main research interest is smart materials and structural systems, including development of piezoelectric materials and devices, vibration and noise control, structural health monitoring, and non-destructive testing. He has published more than 400 journal papers (including more than 350 SCI-indexed journal papers), 12 review papers, and more than 300 conference papers. He has also received 8 awards, including the 2002 Annual Dynamics, Measurement and Control Awards for Pioneering Achievements in the research of smart materials and structural systems from The Japan Society of Mechanical Engineers. He became the ASME Fellow in 2014.

Mechanical Intelligence for Vibration Energy Harvesting: Theory and Technology

Wenming Zhang

Shanghai Jiao Tong University

Abstract:   Vibration energy harvesting offers a sustainable solution for powering distributed wireless sensors, yet conventional approaches face persistent challenges in efficiency, adaptability, and reliability. To overcome these limitations, this talk introduces the emerging concept of mechanical intelligence for vibration energy harvesting, where adaptive regulation and optimization are achieved through structural design and mechanism-based control rather than electronic circuitry. The presentation will cover three key aspects: (1) the concept, definition and theoretical foundations of mechanically intelligent energy harvesting; (2) design methodologies guided by mechanical intelligence, including dynamic design principles, synergistic modulation mechanisms, and compliant mechanisms; (3) practical demonstrations in vibration energy harvesting. Experimental studies reveal that mechanical intelligence enhances energy output, environmental adaptability, and operational robustness without increasing electronic complexity. This work outlines a pathway toward next-generation vibration energy harvesters that are intelligent, self-regulated, and suitable for real-world engineering applications.

Biography:  Prof. Wenming Zhang is a Distinguished Professor at the School of Mechanical Engineering, Shanghai Jiao Tong University. He has been honored with numerous prestigious awards, including the National Science Fund for Distinguished Young Scholars, the Excellent Young Scientists Fund, and the Fok Ying Tung Young Teacher Award from the Fok Ying Tung Education Foundation. Prof. Zhang has also been recognized as a leading talent in scientific and technological innovation under the Ministry of Science and Technology’s Innovative Talent Promotion Program, a Young Top Talent in the national Ten Thousand Talents Program, and an Outstanding Young Academic Leader in Shanghai. His research focuses on micro/nano electromechanical systems (MEMS/NEMS), energy harvesting, intelligent material structures, and the dynamics and vibration control of functional devices. To date, he has published over 200 peer-reviewed articles in top-tier journals such as Nature Communications, Science Advances, Advanced Materials, National Science Review, and flagship ASME/IEEE journals, accumulating more than 8,000 citations. His contributions have earned him major academic accolades, including the First Prize of the Natural Science Award from the Ministry of Education, and the Youth Science and Technology Award by the Chinese Society for Vibration Engineering.

Quasi-zero-stiffness metamaterials for vibration stop: Mechanism, design and regulation

Jiaxi Zhou

Hunan University

Abstract:   Metamaterials are a kind of artificial composite materials that exhibit physical properties not found in conventional materials in nature, such as vibration stop in a band gap. However, existing Bragg scattering and local resonance mechanisms cannot achieve low-frequency band gaps via small-size structures. Therefore, there are three major challenges facing vibration-stop metamaterials: how to overcome existing mechanisms to enable low-frequency band gaps, how to enable low-frequency band gaps in small sizes, and how to regulate low-frequency band gaps. To address these challenges, we firstly introduced negative stiffness into local resonators, developing a quasi-zero-stiffness local resonance mechanism that reduces the band gap frequency by at least one to two orders of magnitude. Secondly, we proposed an integrated design and fabrication method for quasi-zero-stiffness metamaterials and vibration-stop metastructures, achieving a low-frequency band gap at a magnitude of 10 Hz at the centimetre-scale unit cell level. Finally, we utilize the nonlinear characteristics and combined strategies such as magnetic control and temperature control to regulate the low-frequency vibration-stop band gap.

Biography:   Zhou Jiaxi is a professor at Hunan University, specializing in vibration control theory and its applications. He has published over 130 academic papers, which have received over 5700 citations on Google Scholar. He has also been recognize as both an Elsevier China Highly Cited Scholar and a Stanford/Elsevier Top 2% Scientist in the world. He has led over 30 research projects, including five National Natural Science Foundation Projects. He holds over 20 national patents, and some of his research findings have been applied to reduce low-frequency vibrations in practices. He has received the First Prize of the Hunan Provincial Natural Science Award (Rank 1), and the Second Prize of the Power Construction Science and Technology Progress Award (Rank 2). He is a council member of the Chinese Society of Theoretical and Applied Mechanics, and He also serves as an editorial board member for several academic journals.

Nonlinearity in Vibration Energy Harvesting and Utilization

Shengxi Zhou

Northwestern Polytechnical University

Abstract:   Over the past few decades, there has been remarkable progress in the development of low-powered smart wireless sensors and portable devices. However, a major challenge lies in providing continuous power sources for these sensors and devices. Meanwhile, there are a lot of complex environmental vibrations induced by mechanical equipment, vehicles, wind, ocean waves, etc. Utilizing such vibration energy is of great interest. Vibration energy harvesting which can be considered as new green energy has great potential to solve above challenging issue. How to design, model and test high-performance vibration energy harvesters is of great interest. Based on recent research progress of his group, this presentation will discuss nonlinearity in vibration energy harvesting and utilization for different kinds of excitations.

Biography:   Shengxi Zhou is currently a professor (full) in the School of Aeronautics at Northwestern Polytechnical University, China. He has a wide range of research interests including vibration/flow energy harvesting and utilization, nonlinear dynamics, vibration isolation, piezoelectric robots, signal processing, structural health monitoring, etc. He has published more than 100 academic papers and received more than 10,000 citations in Google Scholar. He has given more than 60 Keynote/Invited Talks in academic conferences/universities/institutes. He is a Member of the Council of Chinese Society of Vibration Engineering (CSVE), and is a Deputy Secretary-General of the CSVE. He is an Associate Editor of Mechanical Systems and Signal Processing, ASME Journal of Computational and Nonlinear Dynamics and ASME Journal of Dynamic Systems, Measurement and Control. He is an Editorial Board Member of Smart Materials and Structures, and Applied Nonlinear Dynamics and Vibrations.

Three-dimensional Sono-elastic Calculation Method for Ships with Vibration Isolation Systems

Mingsong Zou

China Ship Scientific Research Center

Abstract:   In light of the increasingly stringent requirements for vibration/noise suppression and acoustic stealth performance in naval and ocean engineering, the study of fluid-structure interaction vibration and underwater acoustic radiation in ship and marine structures has gained critical importance. Aimed to the challenges of vibration transmission and resultant acoustic issues in marine machinery isolation systems. This study establishes a hybrid analytical-numerical computational method for vibro-acoustic analysis of ship structures. The proposed approach enables efficient integrated vibro-acoustic solving of the "water medium - main hull – foundation - machinery system", offering advantages such as simplified modeling, high computational efficiency, and wide frequency applicability.

Biography:   Prof. Ming-Song Zou, a researcher of China Ship Scientific Research Center, doctoral supervisor, recipient of the National Science Fund for Distinguished Young Scholars. He is mainly engaged in fluid-structure coupling theory and calculation of ship and ocean engineering, acoustic boundary element algorithm, vibro-acoustic research and design, etc. He has hosted a number of research projects in the fields of fluid-structure coupling mechanics and vibration acoustics. Based on the theory of three-dimensional water elasticity mechanics, He led the development of THAFTS-Acoustic software for three-dimensional sono-elastic analysis of ships.