JoVE Journal > Engineering
Summary
Abstract
Introduction
Protocol
Results
Discussion
Disclosures
Acknowledgements
Materials
References
공학

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published: February 22, 2018
doi:
10.3791/57238
, , , , , , , ,
1Institute of Fluid Mechanics, FAU Busan Campus,University of Erlangen-Nuremberg, 2Institute of Chemical Reaction Engineering, FAU Busan Campus,University of Erlangen-Nuremberg, 3Institute of Bioprocess Engineering, FAU Busan Campus,University of Erlangen-Nuremberg, 4Institute of Fluid Mechanics,Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Summary

Two different methods for characterizing the incipient particle motion of a single bead as a function of the sediment bed geometry from laminar to turbulent flow are presented.

Abstract

Two different experimental methods for determining the threshold of particle motion as a function of geometrical properties of the bed from laminar to turbulent flow conditions are presented. For that purpose, the incipient motion of a single bead is studied on regular substrates that consist of a monolayer of fixed spheres of uniform size that are regularly arranged in triangular and quadratic symmetries. The threshold is characterized by the critical Shields number. The criterion for the onset of motion is defined as the displacement from the original equilibrium position to the neighboring one. The displacement and the mode of motion are identified with an imaging system. The laminar flow is induced using a rotational rheometer with a parallel disk configuration. The shear Reynolds number remains below 1. The turbulent flow is induced in a low-speed wind tunnel with open jet test section. The air velocity is regulated with a frequency converter on the blower fan. The velocity profile is measured with a hot wire probe connected to a hot film anemometer. The shear Reynolds number ranges between 40 and 150. The logarithmic velocity law and the modified wall law presented by Rotta are used to infer the shear velocity from the experimental data. The latter is of special interest when the mobile bead is partially exposed to the turbulent flow in the so-called hydraulically transitional flow regime. The shear stress is estimated at onset of motion. Some illustrative results showing the strong impact of the angle of repose, and the exposure of the bead to shear flow are represented in both regimes.

Introduction

Incipient particle motion is encountered in a wide range of industrial and natural processes. Environmental examples include the initial process of sediment transport in river and oceans, bed erosion or dune formation among others 1,2,3. Pneumatic conveying4, removal of pollutants or cleaning of surfaces5,6 are typical industrial applications involving the onset of particle motion.

Due to the broad range of applications, the onset of particle motion has been extensively studied over a century, mostly under turbulent conditions7,8,9,10,11,12,13,14,15. Many experimental approaches have been applied to determine the threshold for the onset of motion. The studies include parameters such as the particle Reynolds number13,16,17,18,19,20, the relative flow submergence21,22,23,24 or geometrical factors as the angle of repose16,18,25, exposure to the flow26,27,28,29, relative grain protrusion29 or streamwise bed slope30.

The current data for the threshold including turbulent conditions are broadly scattered12,31 and the results often seem inconsistent24. This is mostly due to the inherent complexity of controlling or determining flow parameters under turbulent conditions13,14. Besides, the threshold for sediment motion strongly depends on the mode of motion, i.e. sliding, rolling or lifting17 and the criterion to characterize the incipient motion31. The latter may be ambiguous in an erodible sediment bed.

During the last decade, experimental researchers have studied incipient particle motion in laminar flows32,33,34,35,36,37,38,39,40,41,42,43,44, where the wide spectrum of length scales interacting with the bed is avoided45. In many practical scenarios implying sedimentation, the particles are quite small and the particle Reynolds number remains lower than about 546. On the other hand, laminar flows are able to generate geometric patterns as ripples and dunes as turbulent flows do42,47. Similitudes in both regimens have been shown to reflect analogies in the underlying physics47 so important insight for the particle transport can be obtained from a better controlled experimental system48.

In laminar flow, Charru et al. noticed that the local rearrangement of a granular bed of uniformly sized beads, so-called bed armouring, resulted in a progressive increase of the threshold for the onset of motion until saturated conditions were achieved32. Literature, however, reveals different thresholds for saturated conditions in irregularly arranged sediment beds depending on the experimental set-up36,44. This scattering may be due to the difficulty of controlling particle parameters such as orientation, protrusion level and compactness of the sediments.

The main goal of this manuscript is to describe in detail how to characterize the incipient motion of single spheres as a function of geometrical properties of the horizontal sediment bed. For that purpose, we use regular geometries, consisting of monolayers of fixed beads regularly arranged according to triangular or quadratic configurations. Regular substrates similar to that we use are found in applications such as for the template-assembly of particles in microfluidic assays49, self-assembly of microdevices in confined structured geometries50 or intrinsic particle-induced transport in microchannels51. More importantly, using regular substrates allows us to highlight the impact of local geometry and orientation and to avoid any dubiety about the role of the neighborhood.

In laminar flow, we observed that the critical Shields number increased by 50% only depending on the spacing between the substrate spheres and thus on the exposure of the bead to the flow38. Similarly, we found that the critical Shields number changed by up to a factor of two depending on the orientation of the substrate to the flow direction38. We noticed that immobile neighbors only affect the onset of the mobile bead if they were closer than about three particle diameters41. Triggered by the experiment findings, we have recently presented a rigorous analytical model that predicts the critical Shields number in the creeping flow limit40. The model covers the onset of motion from highly exposed to hidden beads.

The first part of this manuscript deals with the description of the experimental procedure used in previous studies at shear Reynolds number, Re*, lower than 1. The laminar flow is induced with a rotational rheometer with a parallel configuration. In this low Reynolds number limit, the particle is not supposed to experience any velocity fluctuation20 and the system matches the so-called hydraulically smooth flow where the particle is submerged within the viscous sublayer.

Once incipient motion at laminar flow is established, the role of turbulence can become clearer. Motivated by this idea, we introduce a novel experimental procedure in the second part of the protocol. Using a Göttingen low-speed wind tunnel with open jet test section, the critical Shields number can be determined in a wide range of Re* including the hydraulically transitional flow and the turbulent regime. The experimental results can provide important insight about how forces and torques act on a particle due to the turbulent flow depending on the substrate geometry. Besides, these results can be used as a benchmark for more sophisticated models at high Re* in a similar way that past work in laminar flow has been used to feed semi probabilistic models52 or to validate recent numerical models53. We present some representative examples of applications at Re* ranging from 40 to 150.

The incipient criterion is established as the motion of the single particle from its initial equilibrium position to the next one. Image processing is used to determine the mode of onset of motion, i.e. rolling, sliding, lifting39,41. For that purpose, the angle of rotation of mobile spheres that were manually marked is detected. The algorithm tracks the position of the marks and compares it with the center of the sphere. A preliminary set of experiments was conducted in both experimental set-ups to clarify that the critical Shields number remains independent of finite size effects of the set-up and relative flow submergence. The experimental methods are thus designed to exclude any other parameter dependent on the critical Shields number beyond Re* and geometrical properties of the sediment bed. The Re* is varied using different fluid-particle combinations. The critical Shields number is characterized as a function of the burial degree, Equation 01, defined by Martino et al.37 as Equation 02 where Equation 03 is the angle of repose, i.e. the critical angle at which motion occurs54, and Equation 04 is the exposure degree, defined as the ratio between the cross-sectional area effectively exposed to the flow to the total cross-sectional area of the mobile bead.

Protocol

1. Incipient Particle Motion in the Creeping Flow Limit.

NOTE: The measurements are conducted in a rotational rheometer that has been modified for this specific application.

  1. Preparing the Rheometer.
    1. Connect the air supply to the rheometer in order to avoid damaging the air bearings. Open the valve besides the air filters until a pressure of approximately 5 bars in the system is achieved.
    2. Connect the fluid circulator to the measuring plate. Ensure that the hoses of the Peltier element are connected to the rheometer. Switch on the fluid circulator and set the desired temperature (20 °C).
    3. Mount the customized container containing the regular substrate on the rheometer.
      1. Take the regular substrate out of the container and clean the surface carefully with distilled water. Dry the surface with a lens cleaning cloth and remove possible residual dust with a blower.
        NOTE: The regular substrates are monolayers of 15 x 15 mm2 built from spherical soda-lime glass beads of (405.9 ± 8.7) µm.
      2. Using 0.4 mm thickness double-sided tape, fix the regular substrate into the container ensuring that the substrate center is at a distance of 21 mm from the turning axis.
      3. Place the customized adapter on the rheometer plate.
      4. Mount the customized circular container into the plate ensuring that the flat front section is facing the imaging system designed for side recording.
        NOTE: Ensure that the container is completely horizontal with the water level (0.6 mm/m). For that purpose, place the water level on the container parallel to the back of the device and level it with the rheometer adjustable feet. Repeat the procedure turning the water level by 90 degrees.
    4. Switch on the rheometer. Wait until the boot procedure is finished and the status "ok" appears on the device screen.
    5. Start the computer and the rheometer software. Initialize the rheometer and set the temperature control from the control panel of the software to the desired value (20 °C).
    6. Mount the customized measuring system. Set-up the zero gap from the software.
      NOTE: Before setting the zero gap, ensure that there are no mobile beads on the substrate and that the substrate borders are not bent. An error in setting the zero-gap will lead to a systematic error in the calculation of the shear rate and therefore in the subsequent measurement of the critical Shields number. An absolute uncertainty of 0.05 mm is assumed in the gap width when calculating the critical Shields number.
    7. Lift the measuring plate to 30 mm and remove it.
    8. Fill the container with approximately 70 mL of 100 mPa·s silicon oil. Ensure that the level of the fluid in the container remains above 2 mm. The silicon oil should not cover the upper part of the transparent plate. Wait approximately 15-20 min for the thermal equilibrium. During that time, adjust the imaging systems (see step 2 from the protocol).
      NOTE: The temperature that is fixed to (295.15 ± 0.5) K here, is controlled with a Peltier element connected to the rheometer and measured with an external thermometer. Fluctuations of less than 0.5 K are observed during the experiments.
  2. Adjusting the imaging system.
    1. Switch on the 300 W Arc Xenon Lamp. Adjust the flexible light guide to illuminate the bead from the side through the transparent walls of the container.
    2. Adjust the LED light intensity to avoid strong light reflection on the substrate.
    3. Adjust the imaging system designed for recording the particle motion from the top through the transparent measuring plate.
      1. Start-up the imaging software from the computer and choose the monochrome profile from the start dialog.
      2. Open the 768 x 576 CMOS camera of the imaging system installed on the top of the container. Start up the live video.
      3. Adjust the horizontal positioning stage until the reference position that has been previously marked in the center of the substrate appears in the center of the image.
      4. Adjust the vertical positioning stage to focus on the substrate.
      5. Place carefully a marked soda-lime glass sphere of (405.9 ± 8.7) µm.
      6. Ensure that at least one of the marks is placed at a distance of approximately 75% of the bead radius or larger from the axis of rotation. If this is not the case, move manually the measuring plate to achieve the motion of the bead to the next equilibrium position (see Figure 2(a) as a reference).
        NOTE: To ensure proper monitoring during motion the mobile beads are marked with several spots separated by about 45° (see Figure 3(a)). The code includes a simple control flow statement to minimize mark misassignment in order to calculate the angle of rotation. For further details, we refer to Agudo et al. 201739.
      7. Open the dialog box for setting the camera parameters and adjust the frame rate to 30 fps. Adjust the exposure time to ensure that the marks are properly distinguished from the bead perimeter.
        NOTE: The soda-lime glass sphere submerged into a silicon oil of 100 mPa·s requires about 4 seconds to move from its initial position to the watershed to the neighboring equilibrium position. Hence, a framerate of 30 fps permits an uncertainty of less than 1%.
    4. Mount the measuring plate to the rheometer.
    5. Set the measuring distance to 2 mm.
      NOTE: The focus of the top camera must be slightly readjusted due to the presence of the Plexiglas plate.
    6. Adjust the imaging system designed for recording the particle motion from the side through the transparent microscope slide.
      1. Open the 4912 x 3684 CMOS camera of the imaging system installed at the front of the container and start up the live video.
      2. Adjust the vertical and the horizontal positioning stage placed parallel to the rheometer until the marked bead appears in the center of the image.
      3. Adjust the modular zoom lens until the field of view includes the upper surface of the substrate, the bead, and the bottom part of the measuring disk.
      4. Adjust the horizontal positioning stage placed perpendicular to the rheometer to focus on the bead.
      5. Open the dialog box for setting the camera parameters and adjust the frame rate to 30 fps.
  3. Determine the critical rotating speed for the onset of motion.
    1. Increase linearly the rotational speed, n, from 0.02 to 0.05 revolutions per second in small increments of 0.00025 revolutions per second using the rheometer software.
      1. In the measurement window, double-click the cell for the control type and edit the range of the speed from 0.02 to 0.05 revolutions per second.
      2. Double-click the time setting and enter the number of measurement points, 60, and the duration of each measurement, 5 s.
      3. Set a table representing the rotational speed as a function of time.
    2. Open the live video from the top and side cameras. Start recording a video-sequence from both cameras using the imaging software.
    3. Start the measurement using the rheometer software.
      NOTE: A preliminary experiment with a larger step size is recommended prior to step 1.3.1.1 in order to roughly estimate the speed range at which the incipient motion will happen. At a distance of 21 mm from the turning axis and using the silicone oil of 100 mPa·s, for instance, the glass bead moves at rotating speeds of approximately 0.035 revolutions per second. Hence, a range from 0.02 to 0.05 revolutions per second seems appropriate for the experiment.
    4. Look carefully at the live video from the top or from the side camera and stop the measurement when the bead displaces from its equilibrium position. Note the speed at which the bead crosses the separatrix to the neighboring equilibrium position. The noted rotating speed represents the critical rotating speed, nC. Stop the video-sequences.
      NOTE: Ensure that the step size is small enough that the increase of speed during the time interval that the bead requires moving from its initial position to the neighboring one does not involve more than 1% of the critical value.
    5. Place the bead back to its original position. This can be done by moving manually the rotating plate until the bead displaces one position back. Repeat the experiment five times noting the mean critical speed and the standard deviation.
    6. Repeat the steps 1.3.1 to 1.3.5 with a different marked bead in 2 adjacent positions to the center of the substrate.
  4. Analyzing the data.
    1. Determine the mode of motion: analyze the sequence of images previously recorded from the top or from the side with the algorithm as described in Agudo et al. 201739.
    2. Determine the critical Shields number and the shear Reynolds number.
      1. Obtain the critical Shields number from the following equation40
        Equation 05                          (1)
        where Equation 06 has been obtained from step 1.3.4, Equation 06 is the kinematic viscosity, Equation 08 and Equation 09 are particle and liquid densities, respectively, Equation 10is the acceleration of gravity and Equation 11 is the mobile bead diameter, all of them known. Equation 12 is the gap width, defined as the distance from the top of the substrate spheres to the measuring plate, i.e. 2 mm and r is the radial distance of the particle from the turning axis, i.e. 21 mm.
      2. Obtain the shear Reynolds number, Re* based on the shear velocity, from the following equations:
        Equation 13                            (2)
    3. Repeat the procedure from 1.1.3 to 1.4.2 using a different regular substrate.
    4. Use different bead densities and different fluid viscosities in order to cover a broad range of the Re* from creeping flow conditions up to 1.

2. Incipient Particle Motion at the Hydraulically Transitional and Rough Turbulent Regime.

NOTE: The measurements are conducted in a customized low-speed Wind-tunnel with open jet test section, Göttingen type.

  1. Preparing the imaging system.
    1. Fix the quadratic substrate in the middle of the test section.
    2. Place a 5 mm alumina bead previously marked at the desired initial position (110 mm from the leading edge and 95 mm from the side edge).
    3. Connect the high-speed camera coupled to the macro lens to the computer and switch it on. Adjust the macro lens until the target bead is clear in the image.
    4. Initiate the imaging software on the computer. Activate "Live Camera", and set the "Sample rate" to 1000 fps.
    5. Switch on the LED light source and adjust the intensity as well as the focus of the camera to achieve a clear image of the particle and its marks.
      NOTE: Ensure that at least one of the marks is placed at a distance of approximately 75% of the bead radius or larger from the axis of rotation (see Figure 3(a) as a reference).
  2. Determining the critical fan speed for the onset of motion.
    1. Set the fan speed well below the critical value (approximately 1400 rpm for the 5 mm alumina bead).
    2. Start the recording by pressing the trigger on the imaging software.
    3. Increase the speed in steps of approximately 4 to 6 rpm every 10 s until incipient motion occurs.
    4. Note the critical speed value at which incipient motion occurs and stop the video sequence.
    5. Place a new marked bead at the same initial position and repeat the procedure from 2.2.1 to 2.2.4 ten times. Note the critical speed for each measurement.
    6. Repeat the procedure from 2.2.1 to 2.2.5 at the same distance from the leading edge but at 65 and 125 mm from the side edge, respectively. Note the critical speed for each measurement.
  3. Preparing the constant temperature hot-wire anemometer (CTA).
    1. Set the CTA control function to stand by and the decade resistance to 00.00. Switch on the main power and wait for approximately 15-20 min to warm up.
    2. Plug the shorting probe and switch the CTA control function to resistance measurement. Adjust the zero Ohms until the needle is placed in the red mark and switch back the control function to standby.
    3. Replace the shorting probe by the miniature hot-wire probe. Switch the CTA control function to resistance measurement. Adjust the resistance switches until the needle is placed in the red mark.
      NOTE: The measured resistance corresponds to the cold resistance of the miniature probe. The measured value should be in agreement with the value provided by the manufacturer (3.32 Ω).
    4. Switch the CTA function to stand by and adjust the resistance decade to 5.5 Ω to achieve an overheat ratio of about 65%.
    5. Measure the frequency response of the CTA at the mean critical speed (step 2.2.4).
      1. Switch on the fan and set the rotational speed of the fan to the critical value, about 1400 rpm. Switch on the oscilloscope.
      2. Switch the square wave generator of the CTA on.
      3. Initiate the oscilloscope software on the computer and open the CSV module to enable the data recording. Choose the channel (CH1) and save the recording data i.e. time and voltage, under the desired file name. Wait until the measurements finish (about 3 min).
        NOTE: The cut-off frequency is calculated from the response time at which the voltage dropped to a level of – 3db (see Figure 4(a)).
      4. Switch the square wave generator off and set the CTA function to standby.
  4. Calibrating the CTA.
    1. Switch the CTA function to operate. Ensure that the probe is adjusted to a sufficient height away from the plate so that it is located in the free stream zone.
    2. Set the fan rotational speed to 200 rpm. Measure the streamwise velocity in the free stream zone using the impeller anemometer and read the voltage on the oscilloscope.
    3. Repeat step 2.4.2 for different rotational speeds with a fixed increment of 50 rpm up to about 1450 rpm (a total of 26 reads).
    4. Establish a correlation between the rpm and the measured free-stream streamwise velocity, Equation 14. Obtain the critical velocity, Equation 15, corresponding to the critical rotational speed for each of the measurements performed from steps 2.2.5 to 2.2.6. Calculate the mean critical free-stream velocity, Equation 16 and the standard deviation of the measurements.
    5. Establish a correlation between the velocity and the voltage according to a third-degree polynomial fit:
      Equation 17                            (3)
      Here, Equation 18 is the streamwise velocity measured in m/s, Equation 04 is the voltage measured in Volt (V), and Equation 19 are the fit coefficients. The calibration curves are shown in Figure 4(b) before and after the measurements of the velocity profile.
  5. Measuring the streamwise velocity with the wall-normal position at critical conditions.
    1. Remove the marked bead from the substrate.
    2. Adjust the handwheel of the horizontal positioning stage until the hot wire probe is placed at the desired initial position (110 mm from the leading edge and 95 mm from the side edge).
    3. Adjust carefully the handwheel of the vertical positioning stage until the probe is placed as close as possible to the substrate surface. See through the camera coupled to the macro lens to ensure that the wire does not touch the substrate surface. Set the zero value in the digital level indicator at that position.
      Caution: The hot wire is very sensitive and if it touches the surface it will break. For sake of security, we place the probe at a distance of 0.05 mm above the top of the substrate sphere (see Figure 1(e) as a reference). This represents a normalized wall-normal component Equation 20 where Equation 21 is the starting measuring value, Equation 22is the shear velocity and Equation 23 is the kinematic viscosity of air at operating temperature. Note that the starting value is below Equation 24 where the viscosity is dominant55.
    4. Set the fan rotational speed to the mean rotational speed at which the incipient motion occurs, see step 2.2.4. The free-stream velocity thus corresponds to Equation 25.
    5. Adjust the sampling rate to 1 kSa and the number of samples to 6000 on the oscilloscope (total sampling time of 6 s). Choose the channel (CH1) and start the measurement. Save the recording data under the desired file name. Wait until the measurements finish (about 3 min).
    6. Increase the wall-normal position of the probe by an increment of 0.01 mm up to 0.4 mm, and by an increment of 0.1 mm up to the height of 10 mm. This corresponds to a total of 137 points for the velocity profile curve. Save the recorded data for each height.
  6. Analyzing the data.
    1. Calculate the mean streamwise velocity and the turbulent intensity for each wall-normal position.
      1. Run the self-developed algorithm to evaluate the statistical quantities. Open the script and select the folder containing the calibration curve and the stored data for each of the measured height.
        NOTE: The script computes first the fit coefficients from the calibration curve as shown in Eq. 3. For each height, it calculates the instantaneous streamwise velocity, Equation 26 by using Eq. 3 and computes the integral time scale by the autocorrelation method56. Thereafter, it computes the time average, Equation 27 and the root square velocity, Equation 28, for samples that are separated by two times the integral time necessary for the time-averaged analysis.
      2. Plot the dimensionless vertical position, Equation 29against the dimensionless streamwise time average velocity Equation 30, where Equation 31 is the diameter of the substrate spheres. Plot Equation 29 against the dimensionless root square velocity Equation 32. Figure 4(c)-(d) depicts the results for the case of the 5 mm alumina bead.
    2. Calculate the shear velocity from the experimental data.
      1. Fit the dimensionless time average velocity with the logarithmic velocity distribution57
        Equation 33                            (5)
        where Equation 34is the shear velocity, Equation 35is the von Kármán's constant and Equation 36 is a constant that depends on the shear Reynolds number26. The solid line in Figure 4(c) is a logarithmic fit to the time average velocity.
        NOTE: From the fit to the experimental data, it can be shown that the shear velocity, Equation 34is given by:
        Equation 37                            (6)
        where Equation 38 is the logarithmic fit coefficient and Equation 3920.
        The viscous sublayer, Equation 40 remains above the top of the substrate spheres in our experiments. In the most rigorous scenario, Eq. 5 should be replaced by the modified velocity law presented by Rotta20,58.
        Equation 41 (7)
        where Equation 42and Equation 43. Equation 40 is the viscous sublayer thickness that can be approximately calculated by Equation 4455.
        The algorithm computes directly the shear velocity from the fit of experimental data to Eq. 5 and Eq. 7. The blue symbols in Figure 4(c) represent the fit to the experimental data according to Eq. 7.
        At Re* above 70, Equation 40 represents up to 5% of the mobile bead diameter, and using a fit from Eq. 5 or Eq. 7 involves a variation on Equation 22within the adopted range of uncertainty. Compare solid line and blue symbols in Figure 4(c) at a Re* of about 87.5.
    3. Determine the mode of motion: analyze the sequence of images previously recorded from the side with the algorithm as described in Agudo et al. 201739.
    4. Determine the critical Shields number and the shear Reynolds number.
      1. Obtain the critical Shields number from the following equation22
        Equation 34                            (8)
        where Equation 34has been obtained from step 10.2, Equation 08 and Equation 46 are particle and fluid densities, respectively, Equation 10 is the acceleration of gravity and Equation 11 is the mobile bead diameter, all of them known.
      2. Obtain the particle Reynolds number, Re*, from the following equations:
        Equation 47                            (9)
      3. Repeat the procedure for measuring the velocity profile as a function of the wall-normal coordinate, step 2.5, at the same distance from the leading edge but at 65 and 125 mm in the width direction, respectively.
      4. Repeat the procedure from 2.1 to 2.6.4.3 using different bead sizes and regular substrates.

Representative Results

Figure 1(a) represents a sketch of the experimental set-up used to characterize the critical Shields number in the creeping flow limit, Section 1 of the protocol. The measurements are conducted in a rotational rheometer that was modified for this specific application. A transparent Plexiglas plate of 70 mm in diameter was carefully fixed to a parallel plate of 25 mm in diameter. The inertia of the measuring system was therefore readjusted before the measurement. A customized circular container of 176 mm in diameter with transparent walls was concentrically coupled to the rheometer. A vertical cut was performed in the front section. A microscope slide was carefully fixed to the front section to improve the imaging. The gap setting profile was readjusted to take into account the presence of the container. The plate velocity was minimized close to the fluid interface to avoid the bead movement before starting the measurement. In that system, the single bead can be optically tracked from the top through the transparent plate, see Figure 1(b), or from the side through the transparent sidewalls, see Figure 1(c). A Couette flow profile is induced between the rotating plate and the substrate. Therefore, the critical shear rate is given by Equation 48. Accordingly, the critical Shields number and the shear Reynolds number can be defined as in Eq. 1 and Eq. 2, respectively. The set-up used in Section 2 of the protocol is illustrated in Figure 1(d). The measurements are conducted in a customized low-speed Wind-tunnel with open jet test section, Göttingen type. The regular substrates of 19 x 25 cm2 are located in the middle of the test section. The fan speed and thus the fluid velocity is regulated with a frequency converter connected to the blower fan. A turbulent boundary layer is induced above the regular substrate. The velocity profile is measured with a hot wire miniature probe specialized designed for measuring the boundary layer (see Figure 1(e)) coupled to a constant temperature anemometer (CTA). The wall-normal position, y, is controlled with a vertical stage that can be repositioned within approx. 0.01 mm. The position is measured with a digital level indicator with a resolution of 0.01 mm. In the fully rough turbulent regime (typically Re*>70), the shear velocity can be inferred from a fit of the experimental data to the logarithmic wall law, Eq. 559. In the hydraulically transition regime, the shear velocity is inferred from a fit to the modified wall law, Eq. 758. The critical Shields number and the shear Reynolds number can be obtained from the shear velocity as expressed in Eq. 8 and Eq. 9, respectively.

Figure 1
Figure 1: Sketch of the experimental set-up used at laminar conditions (a). A mobile bead of (405.9 ± 8.7) µm diameter resting on the quadratic substrate made of spheres of same size with a spacing of 14 µm between them viewed from the top (b) and from the side (c), respectively. Sketch of the experimental set-up used at turbulent conditions (d). Two mobile beads of (3.00 ± 0.15) mm and (5.00 ± 0.25) mm resting on a quadratic substrate with no spacing between spheres of (2.00 ± 0.10) mm close to the miniature hot-wire probe (e). The probe is placed at a distance of approximately 0.05 mm from the top of the substrate sphere. Figure 1(d) is reproduced from Agudo et al. 2017a39, with the permission of AIP Publishing. Please click here to view a larger version of this figure.

An image process routine that analyzes marked beads was developed in previous studies39 to calculate the angle of rotation of the bead at onset of motion. Figure 2 and Figure 3 depict examples of applicability at laminar, Re* = 0.06, and turbulent conditions, Re* = 87.5, respectively. Using marked spheres, we obtained the same critical Shields number as for beads without marks within measurement uncertainty. Based on Canny edge detection and Hough transform, the routine is able to recognize the bead with relative uncertainties ranging between 1.2 and 4%39. The rotation angle is determined by tracking marks based on a gray-scale thresholding. The uncertainty, in this case, increases up to absolute values ranging from 7° to 17°, depending on the imaging system39. Snapshots in Figure 2(a) – (f) illustrate representative examples for the single glass bead of (405.9 ± 8.7) µm displacing from its initial equilibrium position to the next one on a quadratic substrate made of beads of same size with a gap of 14 µm between spheres. The video has been recorded from the top through the transparent measuring system as described in Section 1 (see step 1.2.3). Figure 2(g) shows the angle of rotation during the displacement as a function of the curved trajectory Equation 49 along the substrate (see inset of Figure 2(g)). The trajectory is normalized to the distance traveled by the bead along the curved path between two equilibrium positions, Equation 50. The dotted line in Figure 2(g) represents the angle for pure rolling. The single bead experiences a total rotation of (140 ± 8.5)° which coincides with the angle for pure rolling motion, which also has a value of approximately 140°. Rolling is thus the mode of incipient motion and Eq. 1 can be used to characterize the incipient particle motion.

Figure 2
Figure 2: Snapshots during the incipient motion of a marked bead of (405.9 ± 8.7) µm diameter on the quadratic substrate with a spacing of 14 µm at Re* of approximately 0.06 (a)-(f). The red cross and the green line represent the center of the sphere, and the bead contour obtained from the algorithm, respectively. The blue circles represent the trajectory of the geometric center of the mark. Flow from left to right. The snapshots are reproduced from Agudo et al (2017)a39, with the permission of AIP Publishing. Angle of rotation as a function of the curved trajectory along two equilibrium positions (g). The time instances of snapshots are indicated in the diagram. The dotted line indicates the angle of rotation for a pure rolling motion. Figure 2(g) is reproduced from Agudo et al (2014)41, with the permission of AIP Publishing. Please click here to view a larger version of this figure.

Snapshots in Figure 3(b) – (e) depict an example for an alumina bead of (5 ± 0.25) mm displacing four positions over a quadratic substrate made of spheres of (2.00 ± 0.10) mm with no-gap between them. The video has been recorded from the side as in Section 2 (see steps 2.2.1-2.2.4). The measured angle agrees with the theoretical one during a path covering approximately the first two equilibrium position (see Figure 3(g)). Hence, rolling is assumed to be the mode of incipient motion and Eq. 8 can be used to calculate the critical Shields number. After the second equilibrium position, however, the measured rotation angle seems to deviate from pure rolling motion. The red line in Figure 3(f) represents the bead trajectory during a longer path of approximately 17 positions over the substrate. From the trajectory, it can be discerned how the particle experiences small flights during its motion along the substrate.

Figure 3
Figure 3: Snapshots during the incipient motion of a marked bead of (5.00 ± 0.25) mm diameter on the quadratic substrate with no spacing between spheres at Re* of approximately 87.5 (a) – (e). The red cross and the green line represent the center of the sphere, and the bead contour obtained from the algorithm, respectively. The blue circles represent the trajectory of the geometric center of the mark. The red crosses in (f) represent the trajectory of the bead center along approximately 17 positions along the substrate. Flow from left to right. Angle of rotation as a function of the curved trajectory along four equilibrium positions (g). The time instances of snapshots are indicated in the diagram. The dotted line indicates the angle of rotation for a pure rolling motion. Please click here to view a larger version of this figure.

Figure 4(a) illustrates the square-wave test to estimate the frequency response of the CTA at critical free-stream velocity for the alumina bead of (5 ± 0.25) mm (see step 2.3.5). The time required for the voltage to drop by 97%, Equation 51, is about 0.1 ms. Accordingly, the frequency response, given by Equation 5260, results in approximately 7.7 kHz. From Figure 4(a), it can be discerned that the undershoot remains well below the 15% of the peak response. This indicates that the hot-wire CTA parameters, including the overheating ratio, are properly tunned61. The calibration curves for the illustrative example are shown in Figure 4(b) before (red squares), and after the measurements of the velocity profile (black circles). Both curves overlap each other indicating that no changes occurred during the experiment. For the alumina bead of (5 ± 0.25) mm, the time-averaged velocity and the root square velocity are plotted as a function of the normalized wall-normal component in Figure 4(c) and 4(d), respectively. They are obtained as described in steps from 2.5.1 to 2.6.1 of the protocol. Both velocities are normalized with the critical free-stream velocity. From the maximum value in Equation 32, it can be shown that the measured viscous sublayer thickness is approximately 0.25 mm. The solid line in Figure 4(c) represents a fit to the experimental data according to the logarithmic velocity law, Eq. 5, while the blue line represents a fit of the data according to the modified velocity law proposed by Rotta20,58, Eq. 7. In this case, both fit are in good agreement since the viscous sublayer represents just a 5% of the mobile bead diameter. Accordingly, the shear velocity obtained from both fits differs by less than 8%. Figure 4(e) illustrates the action of fluctuating forces on the incipient motion from the energy criterion perspective as stated by Valyrakis et al. 201362. The solid line shows a portion of the temporal history of the cube of instantaneous streamwise velocity, Equation 53, measured at a distance of half the mobile alumina bead diameter from the substrate. The velocity was stored at a sampling rate of 25 kSa for this specific measurement. The blue line represents the cube of the averaged velocity, Equation 54. The red dotted line represents the cube of the critical velocity calculated as in Valyrakis et al. 201163

Equation 55                            (10)

where Equation 56is the hydrodynamic mass coefficient, approximately equal to 1 in our experiments, and Equation 57 is the drag coefficient assumed to be 0.9 as considered in Valyrakis et al. 201163. Equation 58and Equation 04are calculated as shown in Eq. 11 and 12, respectively. The instantaneous flow power is a linear function of the cube of velocity62. Therefore, peaks on Equation 53 above the critical value may be considered as a potential trigger for incipient particle motion if the duration of those flow events last enough62. The self-developed algorithm estimates the duration of energetic flow events by evaluating the intersection of Equation 53 with the horizontal line Equation 59 along the entire experiment. In the illustrative experiment depicted in Figure 4, the duration of energetic flow events is of the order of 1-2 ms with a maximum of 2.1 ms.

Figure 4
Figure 4: Representative results obtained with the hot wire CTA in the test section of the low-speed wind tunnel at onset of motion of the alumina bead of (5 ± 0.25) mm resting on a quadratic substrate with no spacing between spheres (a) Frequency response of the CTA after a square-wave test (b) Calibration curves before (red squares), and after the measurements of the velocity profile (black circles). The solid line indicates a third polynomial trend fit to the data. The fit coefficients are depicted in the inset of the figure (c) Time-averaged streamwise velocity profile. The solid line and blue symbols indicate a fit according to the logarithmic, and modified wall law, respectively (d) Root mean square streamwise velocity profile within a small height range. The measured viscous sublayer is about 0.25 mm (e) A portion of the temporal history of the cube of instantaneous streamwise velocity measured at a distance of half the mobile alumina bead diameter from the substrate. The blue line indicates the cube of the time-averaged streamwise velocity. The red dotted line indicates the cube of the critical velocity calculated as in Valyrakis et al. 201164. Please click here to view a larger version of this figure.

Figure 5(a) represents the critical Shields number dependency as a function of the burial degree defined as Martino et al. 2009 by Equation 6037. The symbols marked in red are the threshold obtained from the illustrative examples in the protocol. The angle of repose and the exposure degree are geometrically coupled in our regular structures. The angle of repose can be analytically computed as follows:

Equation 61                             (11)
where the superscript Equation 62refers to the triangular geometry and Equation 63 refers to the quadratic geometry with spacing Equation 64 between spheres. Similarly, the exposure degree defined as the cross-sectional area exposed to the flow yields:

Equation 65                             (12)
where Equation 66is the angle the angle between the bead surface at effective zero level and the vertical axis (see inset of Figure 5). For the triangular and the quadratic substrate with spacing Equation 64 between spheres, it can be shown that:

Equation 67                             (13)
where Equation 68 is an effective zero level below the top of the substrate (see inset of Figure 5). In the creeping flow limit, numerical simulations show that the effective zero level increases linearly with the spacing Equation 64: Equation 69. At larger Re*, the effective zero level is assumed to be constant Equation 70 as experimentally shown by Dey et al. 201264. For Re* ranging between 40 and 150, the shear stress was inferred using the modified wall law that includes the hydraulically transitional flow regime. The solid and dotted line are power trends fitted to the experimental data. As shown in Figure 5, the critical Shields number increases as a function of the burial degree showing the strong influence of partially shielding the particle to the shear flow. This includes comparing triangular to quadratic substrate configurations and different mobile beads diameters. The influence of the sediment bed geometry seems to be more pronounced at higher Re*. For the same degree of protrusion, the critical Shields number at Re* below 1 remains well above the value at Re* ranging between 40 and 150.

Figure 5
Figure 5: Dependence of the critical Shields number on the burial degree from laminar to turbulent flow conditions. At Re*<1, triangles, squares, circles and rhomboids indicate results obtained with triangular and quadratic substrates with a spacing of 14, 94 and 109 µm, respectively. Open and solid symbols represent experiments performed with less viscous and higher viscous oils, respectively. At 40<Re*<150, triangles and squares indicate experiments performed with triangular and quadratic substrates with no spacing, respectively. Black, blue, red, green and purple indicate experiments performed with glass, steel, alumina, polystyrene sulfonate, and Plexiglas, respectively. The data at Re*<1 are reproduced from Agudo et al (2012)38, with the permission of AIP Publishing. Please click here to view a larger version of this figure.

Discussion

We present two different experimental methods for characterizing the incipient particle motion as a function of the sediment bed geometry. For that purpose, we use a monolayer of spheres regularly arranged according to a triangular or quadratic symmetry in such a way that the geometrical parameter simplifies to a single geometry. In the creeping flow limit, we describe the experimental method using a rotational rotameter to induce the laminar shear flow as in previous studies39,40,41. Preliminary experiments showed that the incipient motion remained independent of finite-size effects of the substrate such as the radial location, or the distance from the upstream border of the substrate38. Similarly, the critical Shields number was found to be independent of the relative flow submergence within an interval Equation 71 ranging between 2 and 12 and independent of inertia up to a Equation 72 of about 338. Above this value, an increase in the critical Shields number was observed as a consequence of interferences due to a secondary flow induced by the rotating plate. This factor limited the maximum Equation 72 for the experimental procedure described in the first part of the manuscript. The second experimental method is designed to address the hydraulically transitional and the rough turbulent flow regime. The shear stress is induced by a low-speed wind tunnel. In order to establish a range of parameters independent of any size or boundary effect of the substrate, we conducted measurements of the turbulent boundary layer at distances of 50, 80, 110, 140, 170 and 200 mm from the leading edge. At 50, 80, 110 and 200 mm, the boundary layer was measured at 4 different positions in the width direction, 55, 65, 95 and 125 mm from one of the substrate borders. At 140 and 170 mm, the boundary layer was measured at two different positions in the width direction, 65 and 95 mm from one of the substrate border. All measurements were performed at critical free-stream velocity conditions, Equation 73 for a (5.00 ± 0.25) mm glass bead resting on a triangular substrate made of (2.00 ± 0.10) mm beads.Within the interval ranging between 80 and 200 mm, the shape factor ranged between 1.3 and 1.5 as expected for turbulent boundary layers57. The velocity profiles at the same distance from the leading edge were in good agreement with each other, revealing logarithmic coefficients that vary from 5% up to 10% independent of the width direction. The selected range of parameters in the description of the protocol is carefully chosen to ensure that the critical Shields number remained independent of any boundary effect of the experimental set-up. This holds true for both experimental methods.

The threshold for incipient motion depends on the mode of motion that in turn is a function of geometrical properties of the bed such as the exposure of the particle. At high Reynolds numbers, incipient motion is likely to happen by rolling if the particle is highly exposed to the flow14,65. For individual particles that are almost completely shielded by neighbors, however, lifting may be a more appropriate mode14. At laminar conditions, the situation simplifies since lift forces are usually neglected16,17,40,44,45,66 and rolling or sliding is assumed to be the main mode for incipient motion. To properly characterize the critical Shields number as a function of the bed geometry, the mode of motion must first be thoroughly analyzed. For that purpose, we recorded the particle motion and we used an image process algorithms that calculates the angle of rotation of the bead39. If this value matches the theoretical angle for pure rolling as depicted in Figure 2(g) or in the initial range of Figure 3(g), the critical Shields number can be inferred by using Eq. 1 and Eq. 8 for the Sections 1 and 2 of the protocol, respectively. The algorithm identifies particle positions and marks to study rotatory and sliding motion with a minimum of man interventions. The tracking of the particle is based on a Canny edge detector and Hough transform. This combination has been proven to provide a robust and reliable tool in studying granular transport processes1,39,67,68. On the other hand, the mark detection is based on simple gray-scale thresholding. The main disadvantage of the algorithm is that the threshold must be readjusted depending on the imaging system. Although the algorithm takes into account geometrical penalties s the marks, the tracking is more susceptible to errors caused by different threshold levels and light intensity fluctuations, as can be seen, for instance, from the blue circle indicating the centroid of a mark close to the bead center in the snapshot of Figure 3(e) and 3(f). For further applications, we propose to use cross-correlation techniques to detect mark displacements between subsequent frames. This may allow us to achieve a sub-pixel resolution69 and may improve the detection of the angle when many marks are present.

Different definitions for the particle threshold are found in literature. At laminar conditions, as considered in Section 1, the critical Shields number as a dimensionless parameter for the onset of motion is usually defined as stated in Eq. 1, i.e. with the characteristic shear stress as Equation 7432,34,36,70. Other dimensionless parameters as the Galileo number are also found in laminar flow37. This choice, however, might seem adequate at higher particle Reynolds numbers where inertia is more relevant than friction. The definition given in Eq. 1 seems to be particularly adequate in the creeping-flow limit where it has been shown that a deterministic modeling approach is valid when the geometrical parameter is simplified to a regular structure40. This statement is in agreement with maximum standard deviations of the order of 5-7% as measured with the experimental system described in Section 1. The standard deviation as estimated in the step 1.4.2.3, characterizes the random error associated with the rheometer and with fluctuations due to local imperfections on the substrate or in the bead size. Note that fluctuations in the hydrodynamic forces are not expected at Re* below one. Using the quadratic substrate with a spacing between beads of 14 µm, we obtained a critical Shields number equal to 0.040 ± 0.00238. The standard deviation was determined taking into account all individual measurements of Figure 5, i.e., five different runs for each material combination in three different local positions. Values up to 7% for the standard deviation are found for other substrate configurations demonstrating the precision of the method. It is worth here to remark, that apart from deviations in the wire mesh size, the substrates sometimes present larger local imperfections such as cavities where the fixed bead has been detached or such as variations in height. A visual inspection of both top and side camera is therefore recommended before starting the measurement. High-resolution laser 3D printing may be used to build up the substrates in further applications where a sub-micron resolution is required.

When the bead is partially or fully exposed to the turbulent flow, as considered in Section 2, the role of peak turbulent-velocity values and its duration must be considered when we try to identify the incipient particle motion. The impulse14,71 or the energy criterion62 appear as a valuable alternative to the classical Shields criterion. They propose that apart from the hydrodynamic force, the characteristic time scale of flow structures must be properly parametrized71. For that purpose, the same algorithm that obtains time-averaged and root mean square velocities, estimates the duration of energetic flow events based on the condition Equation 75. For the illustrative experiment of Figure 4(e), the duration of energetic flow events remains of the order of 1-2 ms. If we used a drag coefficient given by Equation 76in Eq. 10 as suggested by Vollmer and Kleinhans 200713 or Ali and Dey 201620 based on Coleman's experiments72, the modified Equation 77 remains above the previous value, and the measured maximum duration decreases to about 1.6 ms. In any case, the duration remains well below the order of 10 ms as observed in previous experiments of Valyrakis, Diplas et al. 2013 conducted in a water channel62. In addition, the algorithm determines the integral length scale as shown by El-Gabry, Thurman et al. 201473 based on Roach's method74. At a distance of half the bead diameter from the substrate, the estimated macro-scale length scale is about 1.5 mm. It has been shown that most of the energetic events able to trigger the incipient motion should have a characteristic length of about two to four particle diameters62. This statement may thus indicate that the energetic events induced in our low-speed wind tunnel are not able to trigger the incipient motion. This is in agreement with an averaged velocity slightly above the critical value as shown in Figure 4(e), and with standard deviations below 8% in Equation 73 for 5 mm beads independent of the material as noticed in the experiments. The standard deviation in Equation 73 as calculated in steps 2.2.5-2.2.6 provides an estimation of the random fluctuation associated with the flow parameters but also to local imperfections on the regular substrate. For the alumina bead of 5 mm diameter, we obtained an Equation 73 equal to 12.30 ± 0.23 m/s. This standard deviation was determined taking into account 10 individual runs in three different positions at the same distance from the leading edge. For beads of 2 mm, the standard deviation increases up to approximately 14%. In view of this results, we decided to use the Shields criterion with a critical Shields number as defined in Eq. 8 to characterize the incipient motion. In addition, instead of presenting a probability of entrainment, we opt to provide a specific value of the critical Shields number with a representative degree of uncertainty. There are two main sources of uncertainty in Eq. 6 in order to evaluate the shear velocity: Equation 73 and Equation 78. The relative uncertainty on Equation 73 is inferred from the standard deviation of the measurements. The relative uncertainty in Equation 78 is related to the measurement of the turbulent boundary layer. At the same distance from the leading edge, typical deviations on the fit coefficient range between 5 and 10% depending on the fan speed that in turns depends on the substrate geometry and the bead density. The relative uncertainty in Equation 78 was assumed to be 10% in the most conservative analysis. Accordingly, the uncertainty of Equation 79ranges between 7 and 18% depending on the experiment. Error bars in Figure 5 display the uncertainty of the Shields number after applying the aforementioned analysis including relative uncertainties on the particle diameter, and air and particle densities.

The experimental protocol allows the characterization of the incipient particle motion as a function of the burial degree in different flow regimes. The use of regular geometries simplifies the geometrical factor to a single geometry and avoids any doubt about the role of the neighborhood. The criterion for incipient motion is satisfied when the bead moves from its initial position to the next equilibrium one. The use of an image processing algorithm clarifies the mode of incipient motion. The experimental method described in Section 1 of the protocol has been used in previous studies to point out the strong impact of the local bed arrangement on the incipient motion under laminar conditions38,39,40,41. The system, however, was limited to Re* below 3. At higher Re*, we propose a new experimental method that permits us to address the hydraulically transitional and the rough turbulent flow regime. Interestingly, the turbulence characteristics of the system in conjunction with a simplified geometrical parameter allows us to characterize the incipient motion with a critical Shields number with uncertainties that ranges between 14 and 25%. We present just some representative examples of the application at Re* ranging between 40 and 150. As a future scope of the research study, a broader range of the Re* must be covered with special emphasis on the hydraulically transitional flow regime where fewer data are available in literature. Similarly, experiments at larger burial degrees should be conducted. These results may be used as a benchmark for more complex models. For example, the realistic model recently proposed by Ali and Dey 2016 is based on a hindrance coefficient that is inferred from experimental results only for the case of closely packed sediment beads20. Experimental results for particles that are less exposed to the flow as addressed in the creeping flow limit may trigger an extrapolation of the model at larger burial degrees. In addition, the proposed experimental method may permit us to emphasize on the role of turbulent coherent structures on the incipient particle motion with a strong simplification of the geometrical factor. This is still poorly understood in literature.

Disclosures

The authors have nothing to disclose.

Acknowledgements

The authors are thankful to unknown referees for valuable advice and to Sukyung Choi, Byeongwoo Ko and Baekkyoung Shin for the collaboration in setting up the experiments. This work was supported by the Brain Busan 21 Project in 2017.

Materials

MCR 302 Rotational Rheometer Antoon Par Induction of shear laminar flow
Measuring Plate PP25 Antoon Par Induction of shear laminar flow
Peltier System P-PTD 200 Antoon Par Keep temperature of silicon oils constant in the system at laminar flow
Silicone oils with viscosities of approx. 10 and 100 mPas Basildon Chemicals Fluid used to induced the shear in the particles
Soda-lime glass beads of (405.9 ± 8.7) μm The Technical Glass Company Construction of the regular substrates for laminar flow conditions
Opto Zoom 70 Module 0.3x-2.2x WEISS IMAGING AND SOLUTIONS GmbH Imaging system for recording the bead motion in the rheometer
2 x TV-Tube 1.0x, D=35 mm, L=146.5 mm WEISS IMAGING AND SOLUTIONS GmbH Imaging system for recording the bead motion in the rheometer
UI-1220SE CMOS Camera IDS Imaging Development Systems GmbH Imaging system for recording the bead motion in the rheometer
UI-3590CP CMOS Camera IDS Imaging Development Systems GmbH Imaging system for recording the bead motion in the rheometer
Volpi IntraLED 3 – LED light source  Volpi USA Imaging system for recording the bead motion in the rheometer
Active light guide diameter 5mm Volpi USA Imaging system for recording the bead motion in the rheometer
300 Watt Xenon Arc Lamp Newport Corporation Imaging system for recording the bead motion in the rheometer
Wind-tunnel with open jet test section, Göttingen type  Tintschl BioEnergie und Strömungstechnik AG Induction of turbulent flow
Glass spheres of (2.00 ± 0.10) mm Gloches South Korea Construction of the regular substrates for turbulent flow conditions
Alumina spheres of (5.00 ± 0.25) mm Gloches South Korea Targeted bead for experiments
CTA Anemometer DISA 55M01 Disa Elektronik A/S  Measurement of  flow velocity in the wind tunnel
Miniaure Wire Probe Type 55P15 Dantec Dynamics Measurement of  flow velocity in the wind tunnel
HMO2022 Digital Oscilloscope, 2 Analogue. Ch., 200MHz Rohde & Schwarz Measurement of  flow velocity in the wind tunnel
Phantom Miro eX1 High-speed Camera Vision Research IncVis Imaging system for recording the bead motion in the wind-tunnel
Canon ef 180mm f/3.5 l usm macro lens Canon Imaging system for recording the bead motion in the wind-tunnel
Table LED Lamp Gloches South Korea Imaging system for recording the bead motion in the wind-tunnel
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References

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Tags

Incipient Particle MotionRegular SubstratesTriangular Or Quadratic ConfigurationsParticle Reynolds NumberCreeping FlowHydraulically Rough FlowSediment TransportGrain Bed ErosionRotational RheometerWind TunnelCMOS CameraObjective Lens

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Agudo, J. R., Han, J., Park, J., Kwon, S., Loekman, S., Luzi, G., Linderberger, C., Delgado, A., Wierschem, A. Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions. J. Vis. Exp. (132), e57238, doi:10.3791/57238 (2018).
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