An intelligent data acquisition system for fluid mechanics research

E. R. Cantwell; G. Zilliac; Y. Fukunishi

doi:10.1007/BF00195801

An intelligent data acquisition system for fluid mechanics research

E. R. Cantwell, G. Zilliac, Y. Fukunishi

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A new approach to experimental data acquisition has been demonstrated. The results of the proof-of-concept experiment show that by incorporating a degree of specific fluid dynamics knowledge to the data acquisition process, it is possible to increase the resolution of the experiment, or alternately, reduce the total number of data points required to achieve parity with the results of most conventional data acquisition approaches.

Original language	English (US)
Pages (from-to)	233-236
Number of pages	4
Journal	Experiments in Fluids
Volume	8
Issue number	3-4
DOIs	https://doi.org/10.1007/BF00195801
State	Published - Dec 1989
Externally published	Yes

ASJC Scopus subject areas

Computational Mechanics
Mechanics of Materials
General Physics and Astronomy
Fluid Flow and Transfer Processes

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10.1007/BF00195801

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title = "An intelligent data acquisition system for fluid mechanics research",

abstract = "A new approach to experimental data acquisition has been demonstrated. The results of the proof-of-concept experiment show that by incorporating a degree of specific fluid dynamics knowledge to the data acquisition process, it is possible to increase the resolution of the experiment, or alternately, reduce the total number of data points required to achieve parity with the results of most conventional data acquisition approaches.",

author = "Cantwell, {E. R.} and G. Zilliac and Y. Fukunishi",

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AB - A new approach to experimental data acquisition has been demonstrated. The results of the proof-of-concept experiment show that by incorporating a degree of specific fluid dynamics knowledge to the data acquisition process, it is possible to increase the resolution of the experiment, or alternately, reduce the total number of data points required to achieve parity with the results of most conventional data acquisition approaches.

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An intelligent data acquisition system for fluid mechanics research

Abstract

ASJC Scopus subject areas

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