Experimentally accurate void fraction measurements are a challenge in an air/water, two-phase flows through an industrial nozzle assembly, as a highly non-uniform void fraction exists in the feeding conduit prior to the nozzle. In this study, average void fractions were measured by isolating a section in the feeding conduit of a horizontal nozzle assembly, termed as the quick-closing-valve (QCV) technique. A high-speed video camera was utilized to capture the asynchronization closing time, tac. The average closing time and asynchronization for the pneumatically controlled valves were 200 ms and 2 ms, respectively. Based on the equation of 100umtac (1−α)/αlc, the synchronization error between the two valves was 1.12%, 1.26%, and 1.79% for the 1%, 2% and 4% ALR cases, respectively; here um is the mixture velocity, α is the void faction, and lc is the closing length. Higher synchronization error at 4% ALR occurs due to enhanced momentum in the flow regime. Experimental results indicate that the average α over the 33.4 cm feeding conduit (6.25 mm ID) was 76% (αtheoretical = 75%) for the 2% ALR, and 85% (αtheoretical = 83%) for the 3.3% ALR. In the two-phase, two-component flow the α affects the drop size and stability of the spray produced from an industrial nozzle assembly. Learning from this study will yield insights and conceptual understanding of two-phase flow phenomena in conduit, which would affect stability, pulsation tendency, and possibly atomization performance of the nozzle downstream. Two-phase flow nozzles have wide applications in the industries, e.g. petrochemical, pharmaceutical, and others.
Skip Nav Destination
ASME 2008 Fluids Engineering Division Summer Meeting collocated with the Heat Transfer, Energy Sustainability, and 3rd Energy Nanotechnology Conferences
August 10–14, 2008
Jacksonville, Florida, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-4841-8
PROCEEDINGS PAPER
Estimation of Average Void Fraction for Gas-Liquid, Two-Phase Flow in an Industrial Nozzle Assembly Using a Quick-Closing-Valve Available to Purchase
Mohammad A. Rahman,
Mohammad A. Rahman
University of Alberta, Edmonton, Alberta, Canada
Search for other works by this author on:
Johana Gomez,
Johana Gomez
University of Alberta, Edmonton, Alberta, Canada
Search for other works by this author on:
Ted Heidrick,
Ted Heidrick
University of Alberta, Edmonton, Alberta, Canada
Search for other works by this author on:
Brian A. Fleck,
Brian A. Fleck
University of Alberta, Edmonton, Alberta, Canada
Search for other works by this author on:
Jennifer McMillan
Jennifer McMillan
Syncrude Canada Research Centre, Edmonton, Alberta, Canada
Search for other works by this author on:
Mohammad A. Rahman
University of Alberta, Edmonton, Alberta, Canada
Johana Gomez
University of Alberta, Edmonton, Alberta, Canada
Ted Heidrick
University of Alberta, Edmonton, Alberta, Canada
Brian A. Fleck
University of Alberta, Edmonton, Alberta, Canada
Jennifer McMillan
Syncrude Canada Research Centre, Edmonton, Alberta, Canada
Paper No:
FEDSM2008-55334, pp. 433-439; 7 pages
Published Online:
June 30, 2009
Citation
Rahman, MA, Gomez, J, Heidrick, T, Fleck, BA, & McMillan, J. "Estimation of Average Void Fraction for Gas-Liquid, Two-Phase Flow in an Industrial Nozzle Assembly Using a Quick-Closing-Valve." Proceedings of the ASME 2008 Fluids Engineering Division Summer Meeting collocated with the Heat Transfer, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. Volume 2: Fora. Jacksonville, Florida, USA. August 10–14, 2008. pp. 433-439. ASME. https://doi.org/10.1115/FEDSM2008-55334
Download citation file:
15
Views
Related Proceedings Papers
Related Articles
Jet Impingement Boiling From a Circular Free-Surface Jet During Quenching: Part 2—Two-Phase Jet
J. Heat Transfer (October,2001)
Application of Preconditioning Method to Gas-Liquid Two-Phase Flow Computations
J. Fluids Eng (July,2004)
Related Chapters
PVDF/CO 3 O 4 Nanocomposites: Porosity, Crystallinity and Conductivity
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Fractal Analysis of CT-Measured Porosity for Claypan Soils
Intelligent Engineering Systems through Artificial Neural Networks
Assessment of CT-Measured Porosity in Russian Soils Using Fractal Dimension and Lacunarity
Intelligent Engineering Systems through Artificial Neural Networks