Mazdak Parsi
DNV GL
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Featured researches published by Mazdak Parsi.
Volume 1D, Symposia: Transport Phenomena in Mixing; Turbulent Flows; Urban Fluid Mechanics; Fluid Dynamic Behavior of Complex Particles; Analysis of Elementary Processes in Dispersed Multiphase Flows; Multiphase Flow With Heat/Mass Transfer in Process Technology; Fluid Mechanics of Aircraft and Rocket Emissions and Their Environmental Impacts; High Performance CFD Computation; Performance of Multiphase Flow Systems; Wind Energy; Uncertainty Quantification in Flow Measurements and Simulations | 2014
Mazdak Parsi; Ronald E. Vieira; Carlos F. Torres; Netaji R. Kesana; Brenton S. McLaury; Siamack A. Shirazi; Uwe Hampel; Eckhard Schleicher
A wire mesh sensor (WMS) is a device used to investigate multi-phase flows. The WMS measures the instantaneous local electrical conductivity of multiphase flows at different measuring points. There is a significant difference in the electrical conductivity of the employed fluids (in this work air and water, conductivity of water is much higher than that of air). Using the difference in the electrical conductivity, the WMS provides the local void fraction. The WMS utilized in this work includes two identical planes of parallel 16×16 grid of wires. The separation distance between these two planes is 32 mm. The WMS was installed in a 76.2 mm (3-inch) diameter vertical pipe to extract information such as void fraction distribution, structure velocity, and slug/churn flow structure. The superficial gas (air) velocity (VSG) ranged from 10 to 38.4 m/s. Liquid (water) superficial velocities (VSL) of 0.30, 0.46, 0.61 and 0.76 m/s were employed. To study the effects of viscosity on the slug/churn flow structure, Carboxyl Methyl Cellulose (CMC) was added to water to increase the liquid viscosity without altering its density. Each experiment was performed for 60 seconds. An operation frequency for the WMS of 10 kHz (totaling 600,000 frames of void fraction measurement per experiment) was used for all experiments.Copyright
ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels | 2014
Ronald E. Vieira; Mazdak Parsi; Carlos F. Torres; Siamack A. Shirazi; Brenton S. McLaury; Eckhard Schleicher; Uwe Hampel
In gas well production, liquid is produced in two forms, droplets entrained in the gas core and liquid film flowing on the tubing wall. For most of the gas well life cycle, the predominant flow pattern is annular flow. As gas wells mature, the produced gas flow rate reduces decreasing the liquid carrying capability initiating the condition where the liquid film is unstable and flow pattern changes from fully co-current annular flow to partially co-current annular flow. The measurement and visualization of annular flow and liquid loading characteristics is of great importance from a technical point of view for process control or from a theoretical point of view for the improvement and validation of current modeling approaches. In this experimental investigation, a Wire-Mesh technique based on conductance measurements was applied to enhance the understanding of the air-water flow in vertical pipes. The flow test section consisting of a 76 mm ID pipe, 18 m long, was employed to generate annular flow and liquid loading at low pressure conditions. A 16×16 wire configuration sensor is used to determine the void fraction within the cross-section of the pipe. Data sets were collected with a sampling frequency of 10,000 Hz. Physical flow parameters were extracted based on processed raw measured data obtained by the sensors using signal processing. In this work, the principle of Wire-Mesh Sensors and the methodology of flow parameter extraction are described. From the obtained raw data, time series of void fraction, mean local void fraction distribution, characteristic frequencies and structure velocities are determined for different liquid and gas superficial velocities that ranged from 0.005 to 0.1 m/s and from 10 to 40 m/s, respectively. In order to investigate dependence of liquid loading phenomenon on viscosity, three different liquid viscosities were used. Results from the Wire-Mesh Sensors are compared with results obtained from previous experimental work using Quick Closing Valves and existing modeling approaches available in the literature.Copyright
ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels | 2014
Hamidreza Karami; Carlos F. Torres; Mazdak Parsi; Eduardo Pereyra; Cem Sarica
Low Liquid Loading is a very common occurrence in wet gas pipelines where very small amounts of liquid flow along with the gas, mainly due to condensation of hydrocarbon gases and water vapor. The effects of low liquid loading on different flow characteristics, and flow assurance issues such as pipe corrosion prove the necessity of analyzing the flow behavior in more depth. In this study, CFD simulations are conducted for a horizontal pipe where liquid and gas are supplied at separate constant rates at the inlet. The liquid is introduced at the bottom to help shorten the developing section. The simulations are conducted with Ansys Fluent v14.5 using Volume Of Fluid (VOF) as the multiphase model. The analysis targets, mainly, the shape of the interface, velocity fields in both liquid and gas phases, liquid holdup, and shear stress profile. On the other hand, experiments are conducted in a 6-inch ID low liquid loading facility with similar testing condition. Experiments are conducted with water or oil as the liquid phase for a liquid volume fraction range of 0.0005–0.0020 of the inlet stream. For all cases, several flow parameters are measured including liquid holdup and interface wave characteristics. A comparison is conducted between CFD simulation results, model predictions, and experimental results, and a discussion of the sources of discrepancy is presented. Overall, the results help understand the low liquid loading flow phenomenon.Copyright
ASME 2013 Fluids Engineering Division Summer Meeting | 2013
Mazdak Parsi; Mohammad Mahdavimanesh; Aminreza Noghrehabadi; Goodarz Ahmadi
Motion of spherical solid particles in a fully developed turbulent channel flow is numerically simulated. This study presents a computational model for Lagrangian simulation of particle transport, dispersion and deposition. The instantaneous fluctuating velocities are simulated using a Langevin model. Finite volume method is used to solve the steady state conservation of mass, momentum and RNG k-e equations. The DNS data for the anisotropic turbulent intensities are used in the analysis. The particle equation of motion takes into account the Stokes drag, Saffman lift force, the Brownian and gravitational forces. The Brownian diffusion is simulated as a white noise process. Starting with an initially uniform concentration near the wall, an ensemble of particle trajectories is generated. The computational model predictions for particle deposition velocity are compared with the existing experimental data and earlier simulation results and good agreement was achieved.Copyright
Journal of Natural Gas Science and Engineering | 2014
Mazdak Parsi; Kamyar Najmi; Fardis Najafifard; Shokrollah Hassani; Brenton S. McLaury; Siamack A. Shirazi
International Journal of Multiphase Flow | 2015
Mazdak Parsi; Ronald E. Vieira; Carlos F. Torres; Netaji R. Kesana; Brenton S. McLaury; Siamack A. Shirazi; Eckhard Schleicher; Uwe Hampel
Wear | 2015
Mazdak Parsi; Ronald E. Vieira; Netaji R. Kesana; Brenton S. McLaury; Siamack A. Shirazi
Journal of Natural Gas Science and Engineering | 2015
Mazdak Parsi; Madhusuden Agrawal; Vedanth Srinivasan; Ronald E. Vieira; Carlos F. Torres; Brenton S. McLaury; Siamack A. Shirazi
Experimental Thermal and Fluid Science | 2015
Ronald E. Vieira; Mazdak Parsi; Carlos F. Torres; Brenton S. McLaury; Siamack A. Shirazi; Eckhard Schleicher; Uwe Hampel
Chemical Engineering Science | 2015
Mazdak Parsi; Ronald E. Vieira; Carlos F. Torres; Netaji R. Kesana; Brenton S. McLaury; Siamack A. Shirazi; Eckhard Schleicher; Uwe Hampel