Date of Award
Spring 2000
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Computer Engineering
Committee Director
John W. Stoughton
Committee Member
James F. Leathrum, Jr.
Committee Member
Linda L. Vahala
Call Number for Print
Special Collections LD4331.E55 N68
Abstract
Pressure measurements on wind tunnel models provide an important aid to overall aerodynamic analysis and design of aircraft and vehicles. Most pressure measurements in wind tunnels are made using analog pressure sensors with interfacing electronics that connect to an external data acquisition unit. Some of desirable features of an improved pressure measurement system are that it be: 1) model embeddable, 2) inherently digital in nature, 3) intelligent, and 4) controllable by a remote computer.
An intelligent, model-embedded, eight-channel digital pressure sensor system has been developed and tested in a wind tunnel. The implemented system consists of Micro-Electro-Mechanical System (MEMS) digital pressure sensors that are controlled by a small, Embedded Programmable Logic Device (EPLD)-based electronics module. This module outputs standard RS-232 signals that can be easily read and interpreted by a remote host computer.
This system has been tested in the 16 foot Transonic Tunnel at NASA Langley Research Center with a wireless and hard-wire data transfer system. This implementation requires minimal set-up time and provides a small, reconfigurable and fully self-contained digital pressure measurement system. The sensors, electronics, and host configuration/control PC have performed according to the design specifications in the severe conditions of wind tunnel testing.
Details of the digital pressure sensor system and results of the tunnel and laboratory tests are presented in this thesis.
Rights
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DOI
10.25777/ttkq-ap37
Recommended Citation
Novakoski, John J..
"A Digital Pressure Sensor Data Acquisition System in a Wind Tunnel Model"
(2000). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/ttkq-ap37
https://digitalcommons.odu.edu/ece_etds/463
Included in
Computational Engineering Commons, Computer Engineering Commons, Computer Sciences Commons