Special Session 3

 

State Analysis and Performance Evaluation in Aerospace Assembly Systems

 

The assembly process is the final part of mechanical equipment manufacturing. As the increase in the stability, reliability and safety of mechanical equipment, the impact of assembly results on equipment performance has become a research hotspot. In aerospace equipment, there are many types of assembly systems such as bolted structures and riveted structures. During the assembly process, the system achieves the designed position, shape, and mechanical conditions and forms the assembly state. During service, the assembly state of the system gradually evolves with time and load changes. By establishing assembly system state analysis and performance evaluation methods, we are able to provide an effective way for assembly process design, structural performance evaluation, and equipment reliability optimization. This special session aims to provide a platform for researchers, engineers, and industry professionals to exchange knowledge, ideas, and best practices related to assembly system state analysis and performance evaluation in aerospace engineering. Through this session, we hope to create a collaborative environment that will drive progress and innovation in the field of aerospace assembly system analysis.

 

Academics working on the following topics (not limited to) are very much welcomed:

 

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=meae2026
Please choose "Special Session 3"

 

Organizers:

 

Qingyuan Lin, Shanghai Jiao Tong University, China

Qingyuan Lin received his M. S. degree in mechanical design and theory from Dalian University of Technology, Dalian, China, in 2020. He graduated with a PhD from Shanghai Jiao Tong University, School of Mechanical Engineering, and is working as an assistant researcher. His research interests include aerospace and aviation bolted joint, composite connect structure, digital twin, and structural health monitoring. He has authored or coauthored more than 20 papers and acted as reviewer of Mechanical Systems and Signal Processing, Journal of Manufacturing Systems, et al.

Xiaokai Mu, Dalian University of Technology, China

Xiaokai Mu is an associate professor and doctoral supervisor at the School of Mechanical Engineering, Dalian University of Technology, and a senior member of the Mechanical Engineering Society. His research interests include high-performance assembly technology of complex equipment, digital assembly technology, digital twin technology, intelligent testing and equipment technology, which mainly involves hypersonic vehicles, aero-engines and high-precision laser equipment. He has presided over more than 10 national vertical projects, provincial and ministerial projects and enterprise horizontal projects. He has published more than 50 academic papers and served as a reviewer for journals such as Assembly Automation, Tribology International, et al.

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