Results 61 to 70 of about 440,511 (349)

Simultaneous density-velocity inversion by extended Gel'fand-Levitan-Marchenko solution in layered acoustic media for oblique incidence [PDF]

open access: yesarXiv, 2020
Original GLM (Gel'fand-Levitan-Marchenko) theory is for scattering potential recovery of Schr\"odinger equation. In this paper, we formulate the GLM impedance solution of oblique incidence for simultaneous inversion of velocity and density including boundary jumps based on acoustic wave equation.
arxiv  

Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

open access: yesAdvanced Engineering Materials, EarlyView.
Ice accretion impacts daily life, renewable energy generation, maintenance, and security in industries and aeronautics. Acoustic waves (AW) are a promising method for ice removal, although de‐icing mechanisms require further investigation to optimize energy efficiency.
Shilpi Pandey   +15 more
wiley   +1 more source

Noise Reduction in Tractor Cabs Using Coupled Resonance Acoustic Materials

open access: yesIEEE Access, 2022
The noise level in a tractor cab directly affects the driving experience. Reducing the noise level in a tractor cab is an important means of improving the image of the product brand and protecting the physical and psychological health of employees.
Zhipeng Wang   +3 more
doaj   +1 more source

Impact tolerant material [PDF]

open access: yes, 1990
A material is protected from acoustic shock waves generated by impacting projectiles by means of a backing.
Heyman, Joseph S.
core   +1 more source

Advances in Hybrid Icing and Frosting Protection Strategies for Optics, Lens, and Photonics in Cold Environments Using Thin‐Film Acoustic Waves

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong   +11 more
wiley   +1 more source

Enhancing Air Traffic Management and Reducing Noise Impact: A Novel Approach Integrating Băneasa Airport with Otopeni RO Airport

open access: yesApplied Sciences, 2023
Over the years, Bucharest’s Henri Coandă International Airport has registered a constant and high increase in air traffic, in terms of both passengers and aircraft movements.
Adina Cristina Toma   +2 more
doaj   +1 more source

Effects of grazing flow on the steady-state flow resistance and acoustic impedance of thin porous-faced liners

open access: yes, 1977
The results of an investigation of the effects of grazing flow on the steady-state flow resistance and acoustic impedance of seven Feltmetal and three Rigimesh thin porous-faced liners are presented.
A. Hersh, B. E. Walker
semanticscholar   +1 more source

AiResearch QCGAT engine: Acoustic test results [PDF]

open access: yes, 1980
The noise levels of the quiet, general aviation turbofan (QCGAT) engine were measured in ground static noise tests. The static noise levels were found to be markedly lower than the demonstrably quiet AiResearch model TFE731 engine.
Kisner, L. S.
core   +1 more source

On the variations of acoustic absorption peak with flow velocity in Micro-Perforated Panels at high level of excitation [PDF]

open access: yes, 2009
The acoustic behavior of micro-perforated panels (MPP) is studied theoretically and experimentally at high level of pressure excitation. A model based on Forcheimer's regime of flow velocity in the perforations is proposed. This model is valid at relatively high Reynolds numbers and low Mach numbers.
arxiv   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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