Results 111 to 120 of about 179,602 (269)
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 +5 more
wiley +1 more source
Limited by the poor transient response performance of turbochargers, the dynamic performance of aviation piston engines tends to deteriorate. In a bid to enhance the turbocharger's acceleration capabilities, this study scrutinizes various factors ...
Yu Zhou +7 more
doaj +1 more source
Energy efficient aircraft engines [PDF]
The three engine programs that constitute the propulsion portion of NASA's Aircraft Energy Efficiency Program are described, their status indicated, and anticipated improvements in SFC discussed.
Chamberlin, R., Miller, B.
core +1 more source
Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation
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 +11 more
wiley +1 more source
Flight evaluation of an extended engine life mode on an F-15 airplane [PDF]
An integrated flight and propulsion control system designed to reduce the rate of engine deterioration was developed and evaluated in flight on the NASA Dryden F-15 research aircraft.
Conners, Timothy R., Myers, Lawrence P.
core +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
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 +2 more
wiley +1 more source
An engine trade study for a supersonic STOVL fighter-attack aircraft, volume 1 [PDF]
The best main engine for an advanced STOVL aircraft flight demonstrator was studied. The STOVL aircraft uses ejectors powered by engine bypass flow together with vectored core exhaust to achieve vertical thrust capability.
Beard, B. B., Foley, W. H.
core +1 more source
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
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 +2 more
wiley +1 more source
Multi-fuel rotary engine for general aviation aircraft [PDF]
Design studies of advanced multifuel general aviation and commuter aircraft rotary stratified charge engines are summarized. Conceptual design studies were performed at two levels of technology, on advanced general aviation engines sized to provide 186 ...
Ellis, D. R., Jones, C., Meng, P. R.
core +1 more source
Abstract Basking sharks, Cetorhinus maximus (Gunnerus, Brugden [Squalus maximus], Det Kongelige Norske Videnskabers Selskabs Skrifter, 1765, vol. 3, pp. 33–49), feed by gaping their mouths and gill slits, greatly reorienting their cranial skeletons to filter food from water.
Tairan Li +12 more
wiley +1 more source

