Results 51 to 60 of about 12,206 (226)

TreeSpider: In‐Canopy Exploration With Tether‐Based Aerial Modular Arms

open access: yesAdvanced Robotics Research, Volume 2, Issue 2, April 2026.
A tethered drone with perching arms and a 360° ring enables unprecedented maneuverability within dense forest canopies. By dynamically adjusting tether length and decoupling pitch from the frame, it navigates between branches, senses multiple trees, and interacts physically with foliage.
Luca Romanello   +7 more
wiley   +1 more source

Numerical Investigation of Installed Jet Noise Sensitivity to Lift and Wing/Engine Positioning [PDF]

open access: yes, 2018
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.As the turbofan engines of modern transport aircraft have increasingly larger bypass ratios, by necessity ...
Angelino M.   +5 more
core   +1 more source

Aerospace Engineering Undergraduate Laboratory Courses: A Systematic Review (1990–2025)

open access: yesComputer Applications in Engineering Education, Volume 34, Issue 2, March 2026.
ABSTRACT This review examines the evolution of undergraduate aerospace engineering (AE) laboratories from 1990 to 2025, focusing on course formats, pedagogy, technology, and assessment. Once centered on traditional demonstration‐based exercises, AE laboratories have increasingly shifted toward hands‐on, project‐based, and hybrid physical‐virtual models
Mingtai Chen
wiley   +1 more source

Acoustic Assessment of Twin-engined Turboprop Layout [PDF]

open access: yes, 2018
No abstract ...
Barakos, George N.   +2 more
core  

A weak scattering model for tone haystacking

open access: yes, 2009
The scattering of sound by turbulence in a jet shear layer is considered. Spectral broadening or 'haystacking' is the process whereby the turbulent, time-varying inhomogeneities in the flow scatter tonal sound fields, which decreasesthe level of the ...
McAlpine, A., Powles, C.J., Tester, B.J.
core   +1 more source

Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 2, February 2026.
Quantum algorithms for differential equations are developed with applications in computational fluid dynamics. The methods follow an iterative simulation framework, implementing Jacobi and Gauss–Seidel schemes on quantum registers through linear combinations of unitaries.
Chelsea A. Williams   +4 more
wiley   +1 more source

A benchmark case for aeroacoustic simulations involving fluid-structure-acoustic interaction transferred from the process of human phonation

open access: yesActa Acustica
Modeling fluid-structure-acoustic interaction is a highly challenging task and currently there is a lack of available benchmark datasets. For instance, to understand the processes of human phonation, it is essential to fully understand the fluid ...
Schoder Stefan   +5 more
doaj   +1 more source

Efficient prediction of broadband trailing edge noise and application to porous edge treatment [PDF]

open access: yes, 2018
Trailing edge noise generated by turbulent flow traveling past an edge of an airfoil is one of the most essential aeroacoustic sound generation mechanisms. It is of great interest for noise problems in various areas of industrial application.
Delfs, Jan   +3 more
core   +1 more source

Tutorial Overview: Numerical Synergy in Muffler Acoustic Design A Critical Comparison of TMM, FEM, and CFD Approaches for Transmission Loss Quantification

open access: yesEngineering Reports, Volume 8, Issue 1, January 2026.
Experimental measurements reveal distinct performance boundaries: TMM achieves rapid convergence (< 2 dB error below 2000 Hz) but neglects 3D wave effects; FEA maintains < 10% deviation up to 3500 Hz with 90% reduced computational cost versus CFD; while transient CFD captures broadband attenuation trends despite 10× higher resource demands.
Bin Fang, Tong Wei, Yi Yang, Xintie Wang
wiley   +1 more source

Enhancing Energy Generation While Mitigating Noise Emissions in Wind Turbines Through Multi‐Objective Optimization: A Deep Reinforcement Learning Approach

open access: yesWind Energy, Volume 28, Issue 8, August 2025.
ABSTRACT We develop a torque‐pitch control framework using deep reinforcement learning for wind turbines to optimize the generation of wind turbine energy while minimizing operational noise. We employ a double deep Q‐learning, coupled to a blade element momentum solver, to enable precise control over wind turbine parameters.
Martín Frutos   +3 more
wiley   +1 more source

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