This project studied the flow structure of a rotating plate to identify conditions that produce a stable leading edge vortex. Dye flow visualization was used to observe the flow at different tip speed ratios and 30 degrees angle of attack. Particle Image Velocimetry will be used in future studies. The parameters were selected based on a previous study. Experimentation varied the tip speed ratio from 1 to 7 while keeping the angle of attack constant. As the tip speed ratio increased, flow separation decreased and occurred closer to the root, and the leading edge vortex grew larger but became unstable at higher speeds. The most stable vortex was at a tip speed ratio of 5.
DSD-INT 2017 WFlow - MODFLOW and Reservoirs - Van VerseveldDeltares
Presentation by Willem van Verseveld (Deltares) at the Symposium on catchment hydrology and WFlow, during Delft Software Days - Edition 2017. Tuesday, 24 October 2017, Delft.
การนำเสนอบทความวิชาการในการประชุมวิชาการวิศวกรรมโยธาแห่งชาติ ครั้งที่ 25
ระหว่างวันที่ 15-17 กรกฎาคม 2563 ในรูปแบบออนไลน์ จังหวัดชลบุรี
หัวข้อ Impacts of Future Climate Change on Inflow to Pasak Jolasid Dam
in Pasak River Basin, Thailand
Lake Teletskoye is a unique natural reservoir in the south of Western Siberia and is connected to the Biya river. This lake is about 70 km by 3 km and has a maximum depth of about 320m. A special version of Delft3D is used for 3D hydrothermodynamic modelling in combination with 2D ice dynamics modelling.
The water motion in the vertical direction largely depends on the characteristics of turbulence. Turbulent viscosity in such a deep lake is dominated by density stratification. For this reason, Delft3D-FLOW has been extended with an extra formula for the equation of state, namely the TEOS-10 formula. Via the Delft3D open source website the source code is available for other users as well.
During winter lake Teletskoye is usually only partially covered with ice. This reservoir is therefore a suitable case study for the calibration of the Delft3D ice dynamics model. In this presentation the model results will be shown.
DSD-INT 2017 WFlow - MODFLOW and Reservoirs - Van VerseveldDeltares
Presentation by Willem van Verseveld (Deltares) at the Symposium on catchment hydrology and WFlow, during Delft Software Days - Edition 2017. Tuesday, 24 October 2017, Delft.
การนำเสนอบทความวิชาการในการประชุมวิชาการวิศวกรรมโยธาแห่งชาติ ครั้งที่ 25
ระหว่างวันที่ 15-17 กรกฎาคม 2563 ในรูปแบบออนไลน์ จังหวัดชลบุรี
หัวข้อ Impacts of Future Climate Change on Inflow to Pasak Jolasid Dam
in Pasak River Basin, Thailand
Lake Teletskoye is a unique natural reservoir in the south of Western Siberia and is connected to the Biya river. This lake is about 70 km by 3 km and has a maximum depth of about 320m. A special version of Delft3D is used for 3D hydrothermodynamic modelling in combination with 2D ice dynamics modelling.
The water motion in the vertical direction largely depends on the characteristics of turbulence. Turbulent viscosity in such a deep lake is dominated by density stratification. For this reason, Delft3D-FLOW has been extended with an extra formula for the equation of state, namely the TEOS-10 formula. Via the Delft3D open source website the source code is available for other users as well.
During winter lake Teletskoye is usually only partially covered with ice. This reservoir is therefore a suitable case study for the calibration of the Delft3D ice dynamics model. In this presentation the model results will be shown.
DSD-INT 2021 Application Of Arabian Gulf Community Model to Dubai Coastal Wat...Deltares
Presentation by Dr. Zongyan Yang, Principal Coastal Modelling Specialist, jointly with Eng. Fadi Makarem, Principal Marine Projects Engineer at Dubai Municipality, at the Gulf Model Community User Day (Delft3D FM Suite, ...), during Delft Software Days - Edition 2021. Tuesday, 12 October 2021.
Comparison of satellite imagery based ice drift with wind model for the Caspi...Sergey Vernyayev
Many factors influencing the movement of ice such as wind, ice concentration, ice thickness,
roughness, water currents, Coriolis force, bathymetry, artificial and natural obstacles in the area. Current speeds in the Caspian Sea are relatively small and so the main driving force for ice movements is wind. Therefore, main goal of this work was to study wind-ice movement velocities dependence in the region and check how ice concentration and thickness influence on the movement of ice. A high number of measurements and observations was made to describe ice drift in the region, although the data was collected areas and usually not publicly available. In our work, we have used timely consequent optical and SAR satellite images to observe ice movements and its displacement over the area. Wind data for the same period and area was taken from wind models. Ice charts were prepared using visual interpretation of satellite imagery. Ice information (concentration, stage of development, floe size) were stored as vector data in SIGRID3 format. The described data has been correlated and analyzed. The analysis provided in the work can be used for the forecast of short term ice drift on the operational basis and can be the first step for creation of ice drift forecast model for the region of North Caspian Sea. The used data, methods and results of the study are described in this paper.
various types of flow meter
1. rotameter
2. venturimeter
3. electromagnetic flow meter
4. positive displacement flow meter
with their working advantage and disadvantages
This presentation covers my undergrad thesis. I performed hydrodynamic analysis on Upper Baral River with a flow diversion to compare the changes in velocities before and after the installation of the diversion.
DSD-INT 2021 Application Of Arabian Gulf Community Model to Dubai Coastal Wat...Deltares
Presentation by Dr. Zongyan Yang, Principal Coastal Modelling Specialist, jointly with Eng. Fadi Makarem, Principal Marine Projects Engineer at Dubai Municipality, at the Gulf Model Community User Day (Delft3D FM Suite, ...), during Delft Software Days - Edition 2021. Tuesday, 12 October 2021.
Comparison of satellite imagery based ice drift with wind model for the Caspi...Sergey Vernyayev
Many factors influencing the movement of ice such as wind, ice concentration, ice thickness,
roughness, water currents, Coriolis force, bathymetry, artificial and natural obstacles in the area. Current speeds in the Caspian Sea are relatively small and so the main driving force for ice movements is wind. Therefore, main goal of this work was to study wind-ice movement velocities dependence in the region and check how ice concentration and thickness influence on the movement of ice. A high number of measurements and observations was made to describe ice drift in the region, although the data was collected areas and usually not publicly available. In our work, we have used timely consequent optical and SAR satellite images to observe ice movements and its displacement over the area. Wind data for the same period and area was taken from wind models. Ice charts were prepared using visual interpretation of satellite imagery. Ice information (concentration, stage of development, floe size) were stored as vector data in SIGRID3 format. The described data has been correlated and analyzed. The analysis provided in the work can be used for the forecast of short term ice drift on the operational basis and can be the first step for creation of ice drift forecast model for the region of North Caspian Sea. The used data, methods and results of the study are described in this paper.
various types of flow meter
1. rotameter
2. venturimeter
3. electromagnetic flow meter
4. positive displacement flow meter
with their working advantage and disadvantages
This presentation covers my undergrad thesis. I performed hydrodynamic analysis on Upper Baral River with a flow diversion to compare the changes in velocities before and after the installation of the diversion.
Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...QuEST Global
Modern aircraft engine designs are driven towards higher operating temperature and lower coolant flow requirements. During the flight mission, the hot gas path components encounter flows at different pressure, temperature and turbulence conditions. During design of such components, there is always an interest towards fundamental understanding of the impact of inlet turbulence on overall performance. The paper presents aerodynamic performance (stage efficiency) impact of stator inlet viscosity ratio, decay rate and length scales in a cooled turbine rig, based on CFD studies only. Through CFD studies, it is observed that an inlet length scale variation by 10 times could impact the aerodynamic efficiency by ~0.5% to 4% depending on the size of the length scale. Efficiency drops with higher flow length scales and turbulence intensity. The length scale effects are observed to be more predominant with high turbulence intensities than at low turbulence intensities. Similarly a viscosity ratio increase by 1000 times can decrease efficiency by < 0.5% in the lower bounds and can drastically increase to ~ 3% at higher bounds. The efficiency drop can be as much as 2.5 % for a decay rate change from 0.01 to 1 for viscosity ratio of 10000.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
lab 4 requermenrt.pdf
MECH202 – Fluid Mechanics – 2015 Lab 4
Fluid Friction Loss
Introduction
In this experiment you will investigate the relationship between head loss due to fluid friction and
velocity for flow of water through both smooth and rough pipes. To do this you will:
1) Express the mathematical relationship between head loss and flow velocity
2) Compare measured and calculated head losses
3) Estimate unknown pipe roughness
Background
When a fluid is flowing through a pipe, it experiences some resistance due to shear stresses, which
converts some of its energy into unwanted heat. Energy loss through friction is referred to as “head
loss due to friction” and is a function of the; pipe length, pipe diameter, mean flow velocity,
properties of the fluid and roughness of the pipe (the later only being a factor for turbulent flows),
but is independent of pressure under with which the water flows. Mathematically, for a turbulent
flow, this can be expressed as:
hL=f
L
D
V
2
2 g
(Eq.1)
where
hL = Head loss due to friction (m)
f = Friction factor
L = Length of pipe (m)
V = Average flow velocity (m/s)
g = Gravitational acceleration (m/s^2)
Friction head losses in straight pipes of different sizes can be investigated over a wide range of
Reynolds' numbers to cover the laminar, transitional, and turbulent flow regimes in smooth pipes. A
further test pipe is artificially roughened and, at the higher Reynolds' numbers, shows a clear
departure from typical smooth bore pipe characteristics.
Experiment 4: Fluid Friction Loss
The head loss and flow velocity can also be expressed as:
1) hL∝V −whe n flow islaminar
2) hL∝V
n
−whe n flow isturbulent
where hL is the head loss due to friction and V is the fluid velocity. These two types of flow are
seperated by a trasition phase where no definite relationship between hL and V exist. Graphs
of hL −V and log (hL) − log (V ) are shown in Figure 1,
Figure 1. Relationship between hL ( expressed by h) and V ( expressed by u ) ;
as well as log (hL) and log ( V )
Experiment 4: Fluid Friction Loss
Experimental Apparatus
In Figure 2, the fluid friction apparatus is shown on the right while the Hydraulic bench that
supplies the water to the fluid friction apparatus is shown on the left. The flow rate that the
hydraulic bench provides can be measured by measuring the time required to collect a known
volume.
Figure 2. Experimental Apparatus
Experimental Procedure
1) Prime the pipe network with water by running the system until no air appears to be discharging
from the fluid friction apparatus.
2) Open and close the appropriate valves to obtain water flow through the required test pipe, the four
lowest pipes of the fluid friction apparatus will be used for this experiment. From the bottom to the
top, these are; the rough pipe with large diameter and then smooth pipes with three successively
smaller diameters.
3) Measure head loss ...
Effect of Turbulence Model in Numerical Simulation of Single Round Jet at Low...ijceronline
Single axi-symmetric round jet flow was analyzed using computational techniques and validated with experimental results to establish the suitable turbulence model for simulation of low Reynolds number jets exiting from fully developed pipe. This work is performed as an initial study before computationally simulating multiple impinging jets. To this end a single round jet at Reynolds number of 7500 exiting from a fully developed pipe and entering into stationary air was modeled. Velocity and turbulence profiles were extracted from the simulation and validated with in-house experimental results. It was observed that although all the four turbulence models studied were able to closely predict the mean velocity field, they were not able to accurately predict the turbulence intensity distributions. From the models studied, it was concluded that SST k- ω model was the best turbulence model for simulating low Reynolds number jet flow exiting from fully developed pipe.
MECHANICAL DAMAGE TO PUMP
IMPELLERS CAUSED BY LOW FLOW
OPERATION. High-cycle fatigue damage imparted on a BB5 pump
impeller operating at low flow operation points was
analyzed via numerical methods.
A 1-way Fluid-Structure interaction approach whereby a
transient CFD subsequently mapped to a structural FEA
showed a significant increase in fluctuating stress
ranges as the flow decreased.
The authors present several mitigation options in the
case where low flow operation cannot be avoided.
1. Project Overview
By reducing or avoiding the flow separation on a rotating wind turbine
blade, the performance is increased producing more lift and energy. For this
reason, the short-term goal for this project consists in studying the flow
structure of a rotating plate and trying to identify when is there a stable leading
edge vortex in the blade. This was executed by using dye flow visualization
methods in a water channel at different tip speed ratios with an angle of attack
of 30 degrees. For future studies, with the results obtained, Particle Image
Velocimetry (PIV) methods will be implemented to achieve a more detailed
understanding of the flow structure, including tests with different angles of
attack.
Experiment Set Up
Test Plate Dimensions - Rectangular with sharp edges, Aspect Ratio – 4,
Span – 4 in., chord – 1 in., radius to tip – 4.25in, Radius to root – 0.25.
Brushless Motor
Galil Tools program
Waterproof nacelle with water suction system.
Motor assembly on top of the water channel.
Lighting from bottom and upstream
Dye Application: Fluoriscine and Elmer’s Multi-Purpose Glue
Parameter Selection
The parameters were chosen based off the data in the research of Flow Structure on a Rotating
Wing: Effect of Steady Incident Flow by M. Bross, C. A. Ozen, and D. Rockwell. When
transforming their parameters to the aspect ratio of the plate used in this project, to achieve the tip
speed ratios and flow velocities, we had to apply these tip speed velocities.
Then, an average of the tip
velocities was taken and with a
MatLab code the free stream
velocity for a specific tip speed
ratio was calculated while
maintaining a similar Reynold’s
number. However, for very low
tip speed ratios, different
parameters were used to because
of the water channel’s pump
limitations.
Bross & Rockwell Paper Transformations to Our Experiment
U Vtip TSR Veff Re Vtip Veff Counts/sec
0 0.618 N/A 0.618 23430 0.805689 0.805689 2387.4
0.05 0.279 5.58 0.28344488 10766 0.385523 0.388751828 4569.49
0.1 0.279 2.79 0.296379824 11257 0.373955 0.387094746 4432.38
0.15 0.279 1.86 0.316766475 12030 0.366819 0.39630314 4347.8
Experimentation with Constant
Angle of Attack of 30 degrees
TSR
Free Stream
Velocity (m/s)
Velocity at
Tip (m/s) Veff m/s Re
1 0.07 0.07 0.09899 2879
1.5 0.07 0.105 0.1262 3669
2 0.1877 0.37543 0.4197 12207
2.5 0.1502 0.37543 0.4044 11759
3 0.1251 0.37543 0.3957 11508
3.5 0.1073 0.37543 0.3905 11355
4 0.0939 0.37543 0.387 11254
4.5 0.0834 0.37543 0.3846 11184
5 0.0751 0.37543 0.3829 11134
5.5 0.0683 0.37543 0.3816 11097
6 0.0626 0.37543 0.3806 11068
7 0.0536 0.37543 0.3792 11029
Results
As the tip speed ratio increases, the flow
separation is smaller and occurs closer to the
root. Also, the leading edge vortex (LEV)
becomes larger with the same increase in tip
speed ratio. However, the most stable LEV is
found with a tip speed ratio of 5. Although, the
vortex is larger with a tip speed ratio of 7, the
vortex sheds almost 3 times faster than the LEV
formed at a tip ratio of 5.
Additionally, more tests with performed with
dye applied at chordwise and spanwise locations
in the plate at different tip speed ratios.
Consequently we are able to obtain a better view
of the flow separation happening in the plate.
Tip Speed Ratio Effects in Flow Separation on a
Rotating Plate
Acknowledgments: Faculty Sponsor, Dr. James Buchholz and Graduate Student Mentor Kevin Wabick.
Reference: Flow structure on a rotating wing: Effect of steady incident flow: M. Bross, C. A. Ozen, and D. Rockwella. Department of Mechanical Engineering and Mechanics, Lehigh University, 356 Packard Laboratory, 19 Memorial Drive
West, Bethlehem, Pennsylvania 18015, USA
(Received 2 November 2012; accepted 8 July 2013; published online 1 August 2013)
By Jan Michael Lopez