Title :
Two-phase flow pattern identification using a fuzzy methodology
Author :
Le Corre, J.-M. ; Aldorwish, Y. ; Kim, S. ; Ishi, M.
Author_Institution :
Sch. of Nucl. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
A fuzzy methodology for two-phase flow pattern identification based on local time-averaged two-phase parameters (void fraction and interfacial area) obtained from a multi-sensor probe is presented. The experimental data are obtained in a 5.08 cm I.D. vertical co-current air/water loop at an axial location L/D=32. Raw data and trends from the fuzzy system are in good agreement with the experimental observations. Moreover, the method reveals the contribution of each flow regime to the two-phase flow system. As a conclusion, we suggest several ways for improving and using the proposed fuzzy methodology
Keywords :
computational fluid dynamics; flow simulation; fuzzy set theory; identification; knowledge based systems; two-phase flow; axial location; experimental data; flow regime; fuzzy methodology; fuzzy system; interfacial area; local time-averaged two-phase parameters; multi-sensor probe; raw data; two-phase flow pattern identification; two-phase flow system; vertical co-current air/water loop; void fraction; Floods; Phase measurement; Read only memory; Temperature; Velocity measurement; Visualization;
Conference_Titel :
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-0446-9
DOI :
10.1109/ICIIS.1999.810248
