(Peer-Reviewed) A unique method for curing composite materials by introducing vibration treatment into the hybrid heating process
Cheng-long Guan 关成龙 ¹, Li-hua Zhan 湛利华 ¹ ², Guang-ming Dai 戴光明 ¹, Xin-tong Wu 吴欣桐 ¹, Yu Xiao 肖瑜 ²
¹ College of Mechanical and Electrical Engineering, Central South University, Changsha, 410083, China
中国 长沙 中南大学机电工程学院
² Light Alloys Research Institute, Central South University, Changsha, 410083, China
中国 长沙 中南大学轻合金研究院
Abstract
Carbon fiber reinforced plastics provide many excellent properties and are widely used in the aerospace industry. However, the existing composites autoclave process still faces difficulties such as high-energy consumption, uneven distribution of temperature field, complications of pressure transmission, and high cost, which limit their application in manufacturing of large complex composites components.
In this study, the vibration treatment was introduced into the composites microwave curing process innovatively. On the basis of giving full play to the uniform heating characteristics of the microwave, the problems of a large number of internal defects and poor molding quality caused by the insufficient curing pressure have been solved.
The results showed that the samples cured by the improved microwave process without external pressure had a few internal voids, excellent interface bonding conditions, and lower residual stress. Their properties were almost consistent with the samples prepared by the standard autoclave process, which provided a new method for the high-performance, efficient, safe, and low-cost manufacturing of large complex composites components.
A 4096-element 3D-integrated Si-SiN optical phased array for high-power coherent LiDAR
Han Wang, Weimin Xie, Xin Yan, Jiaqi Li, Youxi Lu, Ping Jiang, Feng Li, Kai Jin, Xu Yang, Jiali Jiang, Keran Deng, Weishuai Chen, Jing Luo, Li Jin, Junbo Feng, Kai Wei
Opto-Electronic Technology
2026-03-20
High-speed and large-capacity visible light communication for 6G: advances and perspectives
Nan Chi, Zhilan Lu, Fujie Li, Haoyu Zhang, Yunkai Wang, Xinyi Liu, Zhiwu Chen, Zhe Feng, Zhuoran Hu, Zhixue He, Ziwei Li, Chao Shen, Junwen Zhang
Opto-Electronic Technology
2026-03-20
Holotomography-driven learning unlocks in-silico staining of single cells in flow cytometry by avoiding fluorescence co-registration
Daniele Pirone, Giusy Giugliano, Michela Schiavo, Annalaura Montella, Martina Mugnano, Vincenza Cerbone, Maddalena Raia, Giulia Scalia Ivana Kurelac, Diego Luis Medina, Lisa Miccio Mario Capasso, Achille Iolascon, Pasquale Memmolo, Pietro Ferraro
Opto-Electronic Science
2026-02-25