Yonglin Chen

Dr. Yonglin Chen

Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, China
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 January 2024 in Composites Science and Technology
Verified
Journal Article
Closed access
YCYonglin Chen
Yonglin Chen
ZJZhengyi Jin
Zhengyi Jin
WKWenbin Kang
Wenbin Kang
ZhuangJian LiuZhuangJian Liu
ZhuangJian Liu
Weidong YangWeidong Yang
Weidong Yang
YLYan Li
Yan Li

22 February 2023 in Aerospace
Verified
Journal Article
Open access
PDF file
YCYonglin Chen
Yonglin Chen
JZJunming Zhang
Junming Zhang
ZLZefu Li
Zefu Li
ZHZhang Huliang
Zhang Huliang
JCJiping Chen
Jiping Chen
Yan LiYan Li
Yan Li
Lightweight fiber-reinforced composite structures have been applied in aerospace for decades. Their mechanical properties are crucial for the safety of aircraft and mainly depend on manufacturing technologies such as autoclave, resin transfer molding and automated layup technology. In recent years, the rapid development of intelligent technology such as big data, deep learning, and machine learning has encouraged the development of manufacturing technologies to become low-cost, automatic, and intelligent. However, the current situation and intellectualization of manufacturing technologies is not well summarized. This paper reviews the advances in manufacturing technologies for fiber-reinforced composite structures, including autoclave, out of autoclave, resin transfer molding technologies, automated layup technology and additive manufacturing technology. Then, these technologies are compared in advantages and disadvantages, and their intellectualization development and challenges are also discussed. Finally, the development trend of intelligent manufacturing technologies and intelligent composite structures are discussed. This work can provide a reference for researchers in the related filed.

11 May 2025 in Composites Science and Technology
Verified
Journal Article
Closed access
YDYing Deng
Ying Deng
ZLZefu Li
Zefu Li
Jie ZhiJie Zhi
Jie Zhi
YCYonglin Chen
Yonglin Chen
JCJiping Chen
Jiping Chen
YLYan Li
Yan Li

1 January 2019 in Journal of Engineered Fibers and Fabrics
Verified
Journal Article
Open access
PDF file
YCYonglin Chen
Yonglin Chen
SLShuai Li
Shuai Li
KDKai Ding
Kai Ding
FWFengxin Wang
Fengxin Wang
GFGongyi Fu
Gongyi Fu
This article proposed a new convenient method to obtain tear strength of an airship envelope fabric, which is a laminated plain weave fabric with the ultra-high molecular weight polyethylene fibers. First, a modified formula based on Maekawa’s empirical formula was derived. Uniaxial tear tests were then conducted on three series of single-edge notched specimens with varying widths and their critical tear stresses were measured. The experimental result showed that critical tear stress decreases with the reduction of specimen width when initial crack length is fixed. Afterward, the tear stresses of the fabric were simulated by Maekawa’s empirical formula, the modified formula, and Thiele formula. By comparing the theoretical results with the experimental results, the modified formula was verified to be consistent well with the test data. Finally, an equation was derived, which shows tear strength of this fabric decreases as initial crack length increases. For instance, when the initial crack length is 31.75 mm, the tear strength is only 44.52% of the tensile strength.

24 September 2024 in International Journal of Solids and Structures
Verified
Journal Article
Closed access
WDWenxuan Ding
Wenxuan Ding
YCYonglin Chen
Yonglin Chen
WKWenbin Kang
Wenbin Kang
ZhuangJian LiuZhuangJian Liu
ZhuangJian Liu
PWPeng Wang
Peng Wang
Weidong YangWeidong Yang
Weidong Yang

21 June 2025 in Composites Science and Technology
Verified
Journal Article
Closed access
JZJunming Zhang
Junming Zhang
Weidong YangWeidong Yang
Weidong Yang
PWPeng Wang
Peng Wang
YCYonglin Chen
Yonglin Chen
YMYiu-Wing Mai
Yiu-Wing Mai
YLYan Li
Yan Li