Scan and paint: theory and practice of a sound field visualization method
Scan and paint: theory and practice of a sound field visualization method
Sound visualization techniques have played a key role in the development of acoustics throughout history. The development of measurement apparatus and techniques for displaying sound and vibration phenomena has provided excellent tools for building understanding about specific problems. Traditional methods, such as step-by-step measurements or simultaneous multichannel systems, have a strong tradeoff between time requirements, flexibility, and cost. However, if the sound field can be assumed time stationary, scanning methods allow us to assess variations across space with a single transducer, as long as the position of the sensor is known. The proposed technique, Scan and Paint, is based on the acquisition of sound pressure and particle velocity by manually moving a P-U probe (pressure-particle velocity sensors) across a sound field whilst filming the event with a camera. The sensor position is extracted by applying automatic color tracking to each frame of the recorded video. It is then possible to visualize sound variations across the space in terms of sound pressure, particle velocity, or acoustic intensity. In this paper, not only the theoretical foundations of the method, but also its practical applications are explored such as scanning transfer path analysis, source radiation characterization, operational deflection shapes, virtual phased arrays, material characterization, and acoustic intensity vector field mapping.
241958-[11pp]
Fernandez Comesana, Daniel
156c0f0a-b641-4b56-8790-ff3d4dcb96fd
Steltenpool, Steven
927e98f1-08fc-448c-a45c-6d2d2b959151
Carrillo Pousa, Graciano
a1b6b8b9-95d2-4f07-a121-5d30057a811c
de Bree, Hans-Elias
6fe193e6-129d-4389-93cb-47d66bdc495f
Holland, Keith R.
90dd842b-e3c8-45bb-865e-3e7da77ec703
27 August 2013
Fernandez Comesana, Daniel
156c0f0a-b641-4b56-8790-ff3d4dcb96fd
Steltenpool, Steven
927e98f1-08fc-448c-a45c-6d2d2b959151
Carrillo Pousa, Graciano
a1b6b8b9-95d2-4f07-a121-5d30057a811c
de Bree, Hans-Elias
6fe193e6-129d-4389-93cb-47d66bdc495f
Holland, Keith R.
90dd842b-e3c8-45bb-865e-3e7da77ec703
Fernandez Comesana, Daniel, Steltenpool, Steven, Carrillo Pousa, Graciano, de Bree, Hans-Elias and Holland, Keith R.
(2013)
Scan and paint: theory and practice of a sound field visualization method.
ISRN Mechanical Engineering, 2013, .
(doi:10.1155/2013/241958).
Abstract
Sound visualization techniques have played a key role in the development of acoustics throughout history. The development of measurement apparatus and techniques for displaying sound and vibration phenomena has provided excellent tools for building understanding about specific problems. Traditional methods, such as step-by-step measurements or simultaneous multichannel systems, have a strong tradeoff between time requirements, flexibility, and cost. However, if the sound field can be assumed time stationary, scanning methods allow us to assess variations across space with a single transducer, as long as the position of the sensor is known. The proposed technique, Scan and Paint, is based on the acquisition of sound pressure and particle velocity by manually moving a P-U probe (pressure-particle velocity sensors) across a sound field whilst filming the event with a camera. The sensor position is extracted by applying automatic color tracking to each frame of the recorded video. It is then possible to visualize sound variations across the space in terms of sound pressure, particle velocity, or acoustic intensity. In this paper, not only the theoretical foundations of the method, but also its practical applications are explored such as scanning transfer path analysis, source radiation characterization, operational deflection shapes, virtual phased arrays, material characterization, and acoustic intensity vector field mapping.
Text
ISRN_Mechanical_Engineering_Journal_Scan and Paint principles.pdf
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Published date: 27 August 2013
Organisations:
Acoustics Group
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Local EPrints ID: 356150
URI: http://eprints.soton.ac.uk/id/eprint/356150
ISSN: 2090-5122
PURE UUID: 7c19b5a9-15d9-4f72-ad8b-25306b202da0
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Date deposited: 11 Sep 2013 11:16
Last modified: 14 Mar 2024 14:45
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Author:
Daniel Fernandez Comesana
Author:
Steven Steltenpool
Author:
Graciano Carrillo Pousa
Author:
Hans-Elias de Bree
Author:
Keith R. Holland
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