... channel flow flow measurement neural nets probability two-phase flow two-phase flow flow regime annulus boiling neural network Two-phase flow interfacial structure has dynamic nature and it can adopt several topological configurations called flow patterns or flow regimes...

...-turbulent in round pipes. In addition, the two impedance void meters located across a spacer grid, revealed the nature of change in the flow regime across the spacer grid. 10 02 2011 07 08 2011 12 09 2011 12 09 2011 channel flow flowmeters neural nets turbulence two-phase...

.... , Hibiki , T. , and Ishii , M. , 2008 , “ Flow Structure of Gas-Liquid Two-Phase Flow in an Annulus ,” Chem. Eng. Sci. , 63 , pp. 3998 – 4011 . 0009-2509 25 06 2008 24 11 2008 12 01 2009 bubbles external flows flow measurement neural nets pipe flow statistical...

... dimensionless parameter neural network computational fluid dynamics neural nets pipe flow refrigerants 19 11 2006 29 05 2007 A pressure-reducing device is indispensable in every refrigerating system in order to produce large pressure drop and lower the temperature entering...

.... The hybrid method combining the FE and ANN can shorten the time for the predictions drastically and help search out the processing conditions and/or die geometric parameters to obtain optimal parison thickness distributions. 06 09 2005 25 07 2006 neural nets backpropagation...

... measurement aerospace engineering laser Doppler anemometry sprays regression analysis optimisation neural nets computational fluid dynamics Atomization processes are inherently complex involving close coupling of both thermodynamic state of the fluid, as well as the design of the injector...

... Engineering Division for publication in the JOURNAL OF FLUIDS ENGINEERING . Manuscript received by the Fluids Engineering Division August 30, 2001; revised manuscript received July 29, 2002. Associate Editor: B. Schiavello. 30 August 2001 29 July 2002 22 01 2003 pumps neural nets...

... through interpolating between the available curves, are, of course, only approximated. pressure measurement probes calibration aerodynamics neural nets instrumentation 06 Jan 2001 29 July 2002 22 01 2003 Contributed by the Fluids Engineering Division for publication...

... different order of magnitude. Dedicated algorithms are available to solve this nonlinear problem of finding the best solution V app x , r , ξ . Each net parameter is determined during the learning step. This step can be divided into two successive parts: the neural net...