Results 61 to 70 of about 57,243 (263)

Research on Online Flocculation Purification Method for The Centralized liquid supply and chip removal system [PDF]

E3S Web of Conferences
This work analysed the principle of flocculation purification method and the flocculation purification effect of fully synthesized water-based cutting fluid under experimental conditions, and the anti-corrosion performance of the purified cutting fluid ...
Xu Qiang, Yuan Shihua, Guo Ruihua, Dai Bin, Zhang Weiwei, Dai Liangqiang, Wang Yu   +6 more
doaj   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

Analysis method of flight crew human factors in system safety assessment

Hangkong gongcheng jinzhan
With the improvement of high complexity and automation level of the aircraft systems，pilots are often ill-prepared to cope with an actual emergency or failure，and their corrective actions may be erroneous，delayed or incomplete.
LIU Huixing, RUAN Hongze, LI Xianping, FENG Zhen   +3 more
doaj   +1 more source

Calculation Analysis on the Door’s Contact Force of theFlight Lock Mechanism for Civil Airplane

Hangkong gongcheng jinzhan, 2018
It is of great significance to study the contact force in the aircraft’s flight lock mechanism for the design of the flight lock mechanism of the civil aircraft. The function and main design basis of flight lock are firstly introduced.
Liu Chengye, Huang Zhenting, Zhou Ying
doaj   +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

Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation

Advanced Intelligent Systems, EarlyView.
Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi, Randika K. W. Vithanage, Shaun McKnight, Vedran Tunukovic, Ewan Nicolson, Rylan Gomes, Alastair Poole, Ehsan Mohseni, Stephen Gareth Pierce, Charles MacLoed, Tom O’Hare, Gavin Munro   +11 more
wiley   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Wind tunnel test research for influence of passive flow control technology on low speed characteristics of civil transport aircraft

Hangkong gongcheng jinzhan
In order to optimize the low-speed characteristics of the high-lift configuration of civil transport aircraft and enhance the take-off and landing performance of the aircraft，it is necessary to control the flow separation of the wings.
YAN Wei, WANG Qimin, LI Jinye, XU Huiwen, ZHAO Keliang, BAI Feng, ZHANG Meihong, JIAO Renshan, WANG Fei, ZENG Weiping   +9 more
doaj   +1 more source

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, EarlyView.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source

Acoustic mode detection in an engine nacelle with a scaled rig fan

Advances in Aerodynamics
Acquiring acoustic modes with high quality data in large-scale nacelles is quite challenging in the engine industry because of the complex configuration, high flow speed, tremendous number of acoustic modes, and some other extraordinary interference.
Kangle Xu, Yiang Lyu, Lijuan Feng, Changchun Liu, Jiayuan Ji   +4 more
doaj   +1 more source