TY - JOUR
T1 - Void fraction measurement in two-phase flow processes via symbolic dynamic filtering of ultrasonic signals
AU - Chakraborty, Subhadeep
AU - Keller, Eric
AU - Talley, Justin
AU - Srivastav, Abhishek
AU - Ray, Asok
AU - Kim, Seungjin
PY - 2009
Y1 - 2009
N2 - This communication introduces a non-intrusive method for void fraction measurement and identification of two-phase flow regimes, based on ultrasonic sensing. The underlying algorithm is built upon the recently reported theory of a statistical pattern recognition method called symbolic dynamic filtering (SDF). The results of experimental validation, generated on a laboratory test apparatus, show a one-to-one correspondence between the flow measure derived from SDF and the void fraction measured by a conductivity probe. A sharp change in the slope of flow measure is found to be in agreement with a transition from fully bubbly flow to cap-bubbly flow.
AB - This communication introduces a non-intrusive method for void fraction measurement and identification of two-phase flow regimes, based on ultrasonic sensing. The underlying algorithm is built upon the recently reported theory of a statistical pattern recognition method called symbolic dynamic filtering (SDF). The results of experimental validation, generated on a laboratory test apparatus, show a one-to-one correspondence between the flow measure derived from SDF and the void fraction measured by a conductivity probe. A sharp change in the slope of flow measure is found to be in agreement with a transition from fully bubbly flow to cap-bubbly flow.
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U2 - 10.1088/0957-0233/20/2/023001
DO - 10.1088/0957-0233/20/2/023001
M3 - Article
AN - SCOPUS:63749113548
SN - 0957-0233
VL - 20
JO - Measurement Science and Technology
JF - Measurement Science and Technology
IS - 2
M1 - 023001
ER -