Fluid Mechanics in Channel, Pipe and Aerodynamic Design Geometries 2

Georgantopoulou, Christina G.; Georgantopoulos, G. A.

doi:10.1002/9781119457008

Cited by 3 publications

(4 citation statements)

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“…In this study, we used model analysis to determine the correlation between the tubular flow rate and microchannel flow rate, followed by recording the pressure range at the selected sites inside the channel. As expected from network piping physics calculations [44], the flow rate in the tube system was proportional to the flow rate in the microfluidic channel, because the total flow rate was equal to the summation of flow rates in the individual branches. Although the results exhibited that the tube flow rate was linearly proportional to the total pressure at the selected locations, in reality, the linear interpolation between velocity and pressure was set in the simulation for obtaining approximate results with less complex computational process and time.…”

Section: Simulation and Modulationmentioning

confidence: 65%

Mechanically Flexible Fluid Flow Sensor for Macro-Tubular Architectures

Nour

Qaiser

Khan

et al. 2021

The 8th International Electronic Conference on Sensors and Applications

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Flow sensors are essential for a variety of applications in fluidic industries. This paper proposes a liquid flow sensor using a microfluidic channel for macrotubular architectures. The sensor comprised a firm poly(methyl methacrylate) (PMMA) microfluidic channel bridge on a mechanically flexible polydimethylsiloxane (PDMS) platform installed on the inner wall of tubular systems. The flexible platform was compatible with various tubular architectures and adopted curvatures. In addition, the microscale fluidic channel surpassed the primary disadvantages of common bulky and rigid flowmeters that cause flow streams disturbance and significant pressure drops in tubular systems. Moreover, the microchannel flow sensor is based on detecting the dominated dynamic pressure generated from the fluid velocity inside the microchannel since the tube flow rate is proportional to the flow velocity inside the channel. The pressure sensors for the microchannel flowmeter displayed a sensitivity of 10 pF/kPa and were fabricated inside the PDMS platform. In particular, the pressure was measured using a capacitive pressure sensor owing to its compatibility with flexible electronics and low power consumption. The capacitive pressure sensor inside the microchannel measures the flowrate based on the force generated on the internal walls from the fluid flow velocity inside the channel. Furthermore, the flow sensor behavior was studied for the overall tubular system and validated using a simulation model for volume flow rate ranging from 500 to 2000 mL/min.

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Section: Simulation and Modulationmentioning

confidence: 65%

Mechanically Flexible Fluid Flow Sensor for Macro-Tubular Architectures

Nour

Qaiser

Khan

et al. 2021

The 8th International Electronic Conference on Sensors and Applications

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“…Based on (4), the possible extracted power will vary for the same WT, depends on the air density. According to Georgantopoulou and Georgantopoulos (2018), the pressure p and standard temperature T are known for a given altitude. With R as the real gas constant, the standard air density can be calculated from the ideal gas law, expressed as…”

Section: Proposed Wra Approach Considering Moist Air Propertiesmentioning

confidence: 99%

“…The water vapor pressure p w , ambient pressure p , and temperature T for a given altitude h alt , standard temperature T 0 , and standard pressure p 0 (Engineering Toolbox, 2004b; Georgantopoulou and Georgantopoulos, 2018) are defined by (10)–(12), respectively.…”

Section: Proposed Wra Approach Considering Moist Air Propertiesmentioning

confidence: 99%

Wind resource assessment considering the influence of humidity

Mubarok

Tian

2022

Wind Engineering

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The current study presents a wind resource assessment (WRA) approach by combining existing approaches, including wind probability density estimation based on hourly wind speed frequency, wind power density (WPD) and wind energy density (WED), wind turbine (WT) power output and power curve modeling, and annual energy production (AEP). Wind probability density investigation employed various probability density functions (PDF), including parametric probability density functions such as Weibull, Normal, and Gamma, and non-parametric distribution, including Kernel Density Estimator (KDE). The present study also models the influence of humidity on air density for estimating WPD, WT power output, and AEP. The current study validated the proposed approach by conducting case studies for selected sites of remote Indonesian archipelago islands. AEP estimation proposed by this study can assist the site-turbine fitting design, especially for relatively moist locations.

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“…The grid methodology is developed using only Cartesiangrid lines, which is quite acceptable for such geometries providing robust results [10]. This method is based on Tseng approach [11], while it has been already applied successfully for pipe flows prediction in our recent research work [12]. A refinement technique is required to be developed, as grid clustering is required only to specific areas with flow interest.…”

Section: Introductionmentioning

confidence: 99%

Recirculating flows analysis and estimation inside channels

Georgantopoulou

Vasilikos

Georgantopoulos

2018

MATEC Web of Conferences

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The recirculation which is developed during the flows inside pipes present a high interest in many industrial applications. In the present paper, a Cartesian grid method is presented which can be applied in pipes geometry approximation, even if the solid bounds are not lying on grid lines. A refinement technique using rectangular nested sub-girds is applied in order to avoid the unnecessary grid cells in the areas with no particular flow interest and cluster the grid when is needed. Important and useful for the industries results are extracted by these numerical simulations and estimations regarding the exact position and extend of the recirculation zones and the relating points. The estimation is taking placefor incompressible laminar, viscous flows inside inclined step channelsfor a range of inclination angles and Reynolds numbers values. The Navier – Stokes equations are solved using the artificial compressibility method according to the necessary boundary conditions arrangement. Flow results are presented for several grid sizes and Reynolds numbers focused on the recirculationzones length, in upper and lower channel’ walls. Accepted accuracy of the flow results is produced using the aforementioned refinement algorithm, while the flow zones can be located according to the inlet flow rate, in order to avoid possible problems in the industries as corrosion or energy losses.

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Fluid Mechanics in Channel, Pipe and Aerodynamic Design Geometries 2

Cited by 3 publications

References 0 publications

Mechanically Flexible Fluid Flow Sensor for Macro-Tubular Architectures

Mechanically Flexible Fluid Flow Sensor for Macro-Tubular Architectures

Wind resource assessment considering the influence of humidity

Recirculating flows analysis and estimation inside channels

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