Numerical evaluation of pressure drop across orifices for different gas-liquid mixtures

Zurwa Khan, Reza Tafreshi, Matthew Franchek, Karolos Grigoriadis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modeling two-phase flow across orifices is critical in optimizing orifice design and fluid’s operation in countless architectures and machineries. While flow across different orifice geometries has been extensively studied for air-water flow, simulations and experiments on other two-phase flow combinations are limited. Since every fluid mixture has its own physical properties, such as densities, viscosities and surface tensions, the effect of these properties on the local pressure drops across the orifices may differ. This study aims to investigate the effect of different fluid combinations on the pressure drop across sharp-edged orifices with varying gas mass fractions, orifice thicknesses, and area ratios. A numerical model was developed and validated using experimental data for air-water flow. Then, the model was extended to include various gas-liquid flows including gasoil, argon-diesel and fuel oil. The local pressure drops were then estimated and compared with the existing empirical correlations. The developed model presents a unified approach to measure pressure drop across orifices for different fluid mixtures with different geometries and gas-liquid compositions, unlike existing empirical correlations which are applicable for specific orifice geometries. The results showed that Morris correlation, Simpson correlation, and Chisholm correlation are more appropriate for gasoil, argon-diesel and fuel oil mixtures, respectively. They also yielded that for all fluid combinations, increasing orifice thickness and area ratio led to a decrease in local pressure drop, while increasing gas mass fraction led to an increase in local pressure drop. This revealed that, despite having similar responses to changes in orifice geometries and gas fractions, unlike the assumption made by previous works on air-water flow, no empirical correlation is able to predict pressure drops for all flow mixtures, while the presented numerical model can efficiently determine the local pressure drop for all combinations of flow mixtures, orifice geometries and gas mass fractions.

Original languageEnglish
Title of host publicationModeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations
Subtitle of host publicationModeling, Analysis, and Control
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume3
ISBN (Electronic)9780791851913
DOIs
Publication statusPublished - 1 Jan 2018
EventASME 2018 Dynamic Systems and Control Conference, DSCC 2018 - Atlanta, United States
Duration: 30 Sep 20183 Oct 2018

Other

OtherASME 2018 Dynamic Systems and Control Conference, DSCC 2018
CountryUnited States
CityAtlanta
Period30/9/183/10/18

Fingerprint

Orifices
Pressure drop
Liquids
Gases
Fluids
Geometry
Fuel oils
Two phase flow
Argon
Numerical models
Air
Water
Flow simulation
Surface tension
Physical properties
Viscosity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Khan, Z., Tafreshi, R., Franchek, M., & Grigoriadis, K. (2018). Numerical evaluation of pressure drop across orifices for different gas-liquid mixtures. In Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control (Vol. 3). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DSCC2018-9038

Numerical evaluation of pressure drop across orifices for different gas-liquid mixtures. / Khan, Zurwa; Tafreshi, Reza; Franchek, Matthew; Grigoriadis, Karolos.

Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. Vol. 3 American Society of Mechanical Engineers (ASME), 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Khan, Z, Tafreshi, R, Franchek, M & Grigoriadis, K 2018, Numerical evaluation of pressure drop across orifices for different gas-liquid mixtures. in Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. vol. 3, American Society of Mechanical Engineers (ASME), ASME 2018 Dynamic Systems and Control Conference, DSCC 2018, Atlanta, United States, 30/9/18. https://doi.org/10.1115/DSCC2018-9038
Khan Z, Tafreshi R, Franchek M, Grigoriadis K. Numerical evaluation of pressure drop across orifices for different gas-liquid mixtures. In Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. Vol. 3. American Society of Mechanical Engineers (ASME). 2018 https://doi.org/10.1115/DSCC2018-9038
Khan, Zurwa ; Tafreshi, Reza ; Franchek, Matthew ; Grigoriadis, Karolos. / Numerical evaluation of pressure drop across orifices for different gas-liquid mixtures. Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. Vol. 3 American Society of Mechanical Engineers (ASME), 2018.
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