Results 41 to 50 of about 165,973 (305)

Graphene‐Skinned Alumina Fiber: Continuously Scalable Fabrication and Its Electrothermal Application in Fiber‐Reinforced Polymer Composites

Advanced Science, EarlyView.
Graphene‐skinned alumina fiber (GAF) is a new composite with graphene conformally grown on individual alumina fibers via chemical vapor deposition (CVD). GAF's dynamic, continuous and scalable production is achieved by using a home‐made roll‐to‐roll (RTR) CVD system featuring integrated degumming and growth chambers. GAF possesses tunable conductivity,
Xiaobai Wang, Wenjing Jiang, Jingnan Wang, Yuejie Zhao, Enshan Liu, Fushun Liang, Yixin Zhang, Qingqing Liu, Kangyi Zheng, Yuyao Yang, Fan Yang, Xiao Jiang, Yue Qi, Zhongfan Liu   +13 more
wiley   +1 more source

Study on the Dynamic Magnification Effect of Structure Stiffness Based on the Gust Coupling Analysis of Civil Aircraft

Aerospace
Regarding the dynamic magnification effect of structure stiffness on the gust analysis of civil aircraft, the following three methods are presented: rigid modes analysis, secondary processing based on elastic modes, and analysis with enlarged stiffness ...
Yingying Liu, Kaiping Yu, Jinze Li
doaj   +1 more source

Scalable Laser Processing Enables Transparent, Accretion Scale‐Independent, Ice‐Shedding Glass

Advanced Science, EarlyView.
We demonstrate a scalable laser‐based method to create wave‐like micro‐patterns on glass surfaces that counter the conventional view that roughness increases ice adhesion. These patterns direct crack propagation at the ice–glass interface, enabling low‐force, multi‐directional ice detachment while maintaining substrate transparency. A theoretical model
Fan‐Wei Wang, Anish Pal, Arani Mukhopadhyay, Constantine M. Megaridis, Anish Tuteja   +4 more
wiley   +1 more source

Electrostatic Self‐Assembly Induced Nest‐Like MXene Networks on Fabric for Ultra‐Broadband Flexible Absorption

Advanced Science, EarlyView.
In this study, an electrostatically self‐assembled WPU‐MXene@FC flexible fabric constructs a “nest‐like” structure on fibers, building construct MXene multiple loss paths, achieving ultra‐wideband absorption of 25.3–1200 GHz in a thickness of 1.8 mm, while also exhibiting superhydrophobicity, acid and alkali resistance, and bending resistance ...
Min Luo, Zihao Chen, Haotian Li, Kexun Li, Wei Wang, Weishi Jiao, Donghong Wang, Qiye Wen   +7 more
wiley   +1 more source

Aeroelastic scaling of flying demonstrators: mode tracking technique

Mechanics & Industry, 2022
Aeroelastic scaling theory shows that the design problem of aeroelastically equivalent scaled aircraft can be treated as a structural-only design problem if the aerodynamic shape and airflow properties of the full scale aircraft are preserved.
Mas Colomer Joan, Bartoli Nathalie, Lefebvre Thierry, Morlier Joseph   +3 more
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Further tests of a model-based scheme for predicting pilot opinion ratings for large commercial transports [PDF]

, 1981
A methodology was demonstrated for assessing longitudinal-axis handling qualities of transport aircraft on the basis of closed-loop criteria. Six longitudinal-axis approach configurations were studied covering a range of handling quality problems that ...
Levison, W. H., Rickard, W. W.
core   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Analysis and Design of Bat-Like Flapping-Wing Aircraft

Aerospace
As the only flying mammal in nature, bats have superb flight skills and aerodynamic characteristics that have been the subject of research by scholars from all over the world.
Fan Wang, Xinbiao Pei, Guangxin Wu, Yue Bai   +3 more
doaj   +1 more source

Finite Element Analysis Of Airfield Flexible Pavement

Archives of Civil Engineering, 2014
The paper presents a numerical study of an aircraft wheel impacting on a flexible landing surface. The proposed 3D model simulates the behaviour of flexible runway pavement during the landing phase.
Leonardi G.
doaj   +1 more source