Focusing on the national strategy of "Artificial Intelligence + Manufacturing", the IMAM Team deeply integrates cutting-edge technologies such as multimodal large models, generative AI, digital twins and physics-informed neural networks. It conducts systematic research in four major directions: intelligent operation and maintenance and health management of high-end equipment, intelligent monitoring and quality control in additive manufacturing processes, laser additive remanufacturing processes and performance evaluation, and multiscale forming mechanisms and defect control. The team focuses on breaking through key technologies including multimodal large model-driven equipment fault diagnosis and life prediction, real-time additive manufacturing defect recognition integrating retrieval-augmented generation and multimodal perception, AI-enabled collaborative evaluation of remanufacturing process-microstructure-performance, and multiphysics coupling defect suppression driven by graph neural networks and physics-constrained deep learning. It further explores industrial multimodal agent systems for equipment-process collaboration and constructs a full-chain intelligent technology system from manufacturing process monitoring to service health management, providing core support for the green, highly reliable and intelligent development of China’s high-end equipment.
Led by Professor Fengtao Wang, the team currently has 10 core researchers, including 2 professors, 3 associate professors and 5 lecturers, as well as more than 50 doctoral and master’s students. In recent years, the team has undertaken dozens of projects funded by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province and enterprise research cooperation projects. It has published more than 100 high-level academic papers in authoritative journals at home and abroad such as Mechanical Systems and Signal Processing, Reliability Engineering & System Safety, Journal of Manufacturing Processes and Journal of Mechanical Engineering, and has been granted more than 50 invention patents.
The team is committed to building an important research base serving major national strategic needs and industrial development in eastern Guangdong. It focuses on key generic technical issues and cutting-edge scientific issues in modern industries, strategic emerging industries, as well as the big health and medical device sectors. It provides basic, strategic and forward-looking knowledge reserves, technical support and talent guarantee for the transformation, upgrading and long-term development of local high-end equipment, new energy (offshore wind power), new materials, high-performance medical devices and traditional characteristic industries (textiles and garments, creative toys).
