DocumentCode :
3189073
Title :
Identification of secondary flow pattern in a heated curved rectangular channel using image processing technique
Author :
Fung, Chun Che ; Chung, Kien-Ping ; Chandratilleke, Tilak ; Eren, Halit
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
2093
Abstract :
This paper introduces a new application of pattern recognition techniques to the problem of automatic identification of secondary flow patterns in heated curved rectangular channels. The proposed algorithm is based on two observations. Firstly, in the study of secondary flow patterns, it is found that a smaller pair of secondary vortices is generated when the flowrate of a fluid in a curved passage is beyond certain threshold value. Secondly, humans can easily identify the centre of the vortex by visual inspection. This paper proposes an algorithm that can automatically realise the existence and location of such vortices. Such information can be used to provide a feedback signal for the control of the flow within the channel
Keywords :
channel flow; closed loop systems; edge detection; feature extraction; feedback; flow control; heat exchangers; identification; image classification; process control; vortices; automatic identification; edge detection; feature extraction; feedback signal; flow control; heat exchangers; heated curved rectangular channel; image classification; image processing technique; pair of secondary vortices; pattern recognition technique; process flow; secondary flow pattern identification; threshold value; vision-based closed-loop control system; Feedback; Fluid flow control; Heat engines; Heat recovery; Heat transfer; Image processing; Pattern recognition; Process control; Resistance heating; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
Conference_Location :
Budapest
ISSN :
1091-5281
Print_ISBN :
0-7803-6646-8
Type :
conf
DOI :
10.1109/IMTC.2001.929566
Filename :
929566
Link To Document :
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