Preface
At a Glance
Section titled āAt a Glanceā| Metadata | Details |
|---|---|
| Publication Date | 2025-06-01 |
| Journal | Journal of Physics Conference Series |
| Authors |
Abstract
Section titled āAbstractāThe 6th International Conference on Mechanical Instrumentation and Automation (ICMIA 2025), held from March 21 to 23, 2025, in Hangzhou, China, marked another milestone in advancing interdisciplinary research and industrial applications within the fields of mechanical engineering, instrumentation, and automation. As the world continues to embrace rapid technological evolution, ICMIA 2025 served as a pivotal platform for scholars, engineers, and industry leaders to exchange cutting-edge ideas, present groundbreaking innovations, and foster collaborations aimed at addressing global challenges. This proceedings volume encapsulates the intellectual vibrancy and collaborative spirit that defined the event, offering a comprehensive overview of the latest advancements and future directions in the discipline. The keynote speeches set the tone for the conference by addressing transformative technologies and methodologies. Prof. Yufei Gao (Shandong University) opened the discourse with his presentation on Detection Model of Electroplated Diamond Wire Surface Abrasive Distribution Characteristics based on YOLO-EDW. By integrating computer vision and deep learning, his work offers a novel approach to optimizing abrasive tool performance, with profound implications for precision manufacturing and semiconductor industries. Prof. Jiang Guo (Dalian University of Technology) followed with a compelling exploration of Surface Treatment Technology and Applications for Interface Bonding Performance Oriented Multilayer Additive Hot-Compression Bonding of Large Forgings. His research bridges the gap between material science and industrial applications, proposing scalable solutions for enhancing the durability and reliability of heavy machinery components. Concluding the keynote series, Assoc. Prof. Teng Wang (Northwestern Polytechnical University) presented a pioneering Data-Model-Driven Method for Condition Monitoring of Key Equipment and Its Application in Digital Twin Systems. By merging real-time sensor data with predictive analytics, his framework advances the development of smart maintenance systems, offering a blueprint for Industry 4.0 implementation. The agenda was meticulously structured to maximize engagement and knowledge dissemination. The Opening Ceremony underscored the conferenceās mission through remarks by general chair and a panel discussion on global trends in automation. Subsequent Oral Presentation Sessions spanned topics such as robotics, sensor technologies, and sustainable manufacturing, with presenters showcasing empirical studies and theoretical breakthroughs. A dedicated Award Ceremony honored exceptional papers selected through rigorous peer review, highlighting contributions to AI-driven predictive maintenance and energy-efficient system design. List of Committee Member is available in this Pdf.