A visual experimental technique for planing craft performance
A visual experimental technique for planing craft performance
The understanding and quantification of hydrodynamic lift requires a full appreciation of the phenomena associated with high-speed planing. Repeatability of results is a major problem with planing craft experiments due to the complexity of fluid flows; wetted lengths, for example, are difficult to measure because of the obscurity created by spray-jets. This difficulty in measurement can produce subjective interpretation.
Therefore, reducing hydrodynamic lift using uncertainly defined factors, such as wetted data, can be misleading. This paper outlines an experimental method, Computer Vision Data Acquisition (CVDA), that can remove questions of uncertainty regarding dynamic phenomena by remotely capturing large amounts of planing data for immediate and archival use. An example of the importance of this form of data capture and analysis is described by the ability to validate predictive formulae for planing performance in calm water, and to further advance these formulae for predictions outside their designed realms: in waves.
393-404
Blake, J.I.R.
6afa420d-0936-4acc-861b-36885406c891
Wilson, P.A.
8307fa11-5d5e-47f6-9961-9d43767afa00
1 December 2001
Blake, J.I.R.
6afa420d-0936-4acc-861b-36885406c891
Wilson, P.A.
8307fa11-5d5e-47f6-9961-9d43767afa00
Blake, J.I.R. and Wilson, P.A.
(2001)
A visual experimental technique for planing craft performance.
Transactions of The Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, 143 (285), .
Abstract
The understanding and quantification of hydrodynamic lift requires a full appreciation of the phenomena associated with high-speed planing. Repeatability of results is a major problem with planing craft experiments due to the complexity of fluid flows; wetted lengths, for example, are difficult to measure because of the obscurity created by spray-jets. This difficulty in measurement can produce subjective interpretation.
Therefore, reducing hydrodynamic lift using uncertainly defined factors, such as wetted data, can be misleading. This paper outlines an experimental method, Computer Vision Data Acquisition (CVDA), that can remove questions of uncertainty regarding dynamic phenomena by remotely capturing large amounts of planing data for immediate and archival use. An example of the importance of this form of data capture and analysis is described by the ability to validate predictive formulae for planing performance in calm water, and to further advance these formulae for predictions outside their designed realms: in waves.
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Submitted date: 1 May 2001
Published date: 1 December 2001
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Local EPrints ID: 27818
URI: http://eprints.soton.ac.uk/id/eprint/27818
ISSN: 1479-8751
PURE UUID: 41ff10e3-cef7-41cb-8338-8a5bffeb8918
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Date deposited: 27 Apr 2006
Last modified: 16 Mar 2024 02:58
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