Process Optimization and Intelligent Decision-Making for Key Aircraft Components in Wire and Arc Additive Manufacturing

Guest Speaker：Research Fellow Runsheng Li，The Hong Kong Polytechnic University, China

Inviter: Ass.Prof. Lianghua Xiong

Date&Time: Thursday, 19th June, 11:00-12:00

Venue: Meeting Room 308, Xu Zuyao Building 

Biography:

Li Runsheng, Ph.D. in Mechanical Engineering, Huazhong University of Science and Technology; Research Fellow in Aviation Service Research Center (Polyu-Boing lab), The Hong Kong Polytechnic University; Specializing in wire and arc additive manufacturing. In the past 5 years, he has published 20+ SCI papers as first/corresponding author, such as Prog Mater Sci; Int J Mach Tool Manuf; Addit Manuf, 5 papers; Virtual Phys. Prototyping; Rob. Comput. Integr. Manuf., 10 papers with IF >10, 5 ESI Highly Cited Papers and 3 Hot Papers. Citations: 1300+ and h-index >20; Holds 10+ Chinese invention patents; Led/participated in 5 national additive manufacturing standards. Young editorial board member of four journals.

Abstract:

This research focuses on the wire arc additive manufacturing process of key aircraft components such as aluminum alloy load-bearing frames, ultra-high-strength steel landing gears, and superalloy casings. Through optimization of multi-physics field hybrid processes, multi-heat source collaborative deposition strategies, and the design of gradient heat input deposition paths, it enhances forming quality and manufacturing efficiency. Simultaneously, an online monitoring system based on multi-sensor fusion is established to identify molten pool morphology anomalies, interlayer defects, and temperature field deviations in real time using deep learning algorithms, enabling intelligent decision-making and closed-loop feedback during manufacturing. The research outcomes provide theoretical support and key technologies for efficient, high-performance additive manufacturing of high-end aerospace components.