Results 51 to 60 of about 35,280 (262)

Numerical Aerodynamic Evaluation and Noise Investigation of a Bladeless Fan

open access: yesJournal of Applied Fluid Mechanics, 2015
Bladeless fan is a novel fan type that has no observable impeller, usually used for domestic applications. Numerical investigation of a Bladeless fan via Finite Volume Method was carried out in this study.
mohammad jafari   +3 more
doaj  

Effect of the load coefficient on the aerodynamic noise of a high-bypass-ratio fan by a numerical approach

open access: yesAdvances in Mechanical Engineering
The fan is one of the main aerodynamic noise sources in a high-bypass-ratio turbofan engine. It is easy to reduce the rotating speed of a geared fan by increasing the reduction ratio of the gear without changing the original structure of the turbofan ...
Enbo Liu, Zhenggui Zhou, Shengshen Song
doaj   +1 more source

Attenuation of Cross-Flow Fan Noise Using Porous Stabilizers

open access: yesInternational Journal of Rotating Machinery, 2011
This paper presents a qualitative analysis of controlling the cross-flow fan noise by using porous stabilizers. The stabilizer was originally a folded plate.
Huanxin Lai   +3 more
doaj   +1 more source

Numerical Prediction of the Aerodynamics and Acoustics of a Tip Leakage Flow Using Large-Eddy Simulation

open access: yesInternational Journal of Turbomachinery, Propulsion and Power, 2021
A Large-Eddy Simulation of the tip leakage flow of a single airfoil is carried out. The configuration consists of a non-rotating, isolated airfoil between two horizontal plates with a gap of 10 mm between the tip of the airfoil and the lower plate.
David Lamidel   +3 more
doaj   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Research on Noise Characteristics and Control Technology of Metro Energy Feedback Converter

open access: yes机车电传动, 2020
The noise characteristics of metro energy feedback converter were experimentally studied to analyze the main noise source, noise transmission rules and the acoustic performance of the inlet/outlet structure.
Zhenpeng LI   +5 more
doaj  

CURRENT STATE OF THE PROBLEM OF THE DEVELOPMENT OF ACOUSTIC LINERS FOR GAS-TURBINE ENGINES

open access: yesАвіаційно-космічна техніка та технологія, 2020
A review of current international aviation noise requirements is provided. It is shown that international requirements for aircraft noise levels are constantly increasing.
Євген Олександрович Римаренко
doaj   +1 more source

Experimental Study of the Leakage Flow in an Axial-Flow Fan at Variable Loading

open access: yesInternational Journal of Turbomachinery, Propulsion and Power, 2021
The present paper reports a 2D-PIV (particle image velocimetry) study of the effect of the operating point on the leakage flow in a low-speed ring fan.
Edward Canepa   +3 more
doaj   +1 more source

Lifting Fan Noise Studies [PDF]

open access: yesASME 1969 Winter Annual Meeting: GT Papers, 1969
The paper reviews the results of an experimental investigation of noise radiated from a VTOL lifting fan inlet under static inflow conditions. The results are discussed in the light of recent theoretical and experimental conclusions on compressor noise radiation, combined with relevant data on the aerodynamic characteristics of the fan. The presence of
G. Krishnappa, G. G. Levy
openaire   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +2 more
wiley   +1 more source

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