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Computational Fluid Dynamics Analysis of Suspended-Sediment Sampler Efficiency Justin A. Boldt and David S. Mueller October 7, 2014 Final Report to FISP Technical Committee

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Computational Fluid Dynamics Analysis of Suspended-Sediment

Sampler EfficiencyJustin A. Boldt and David S. Mueller

October 7, 2014

Final Report to FISP Technical Committee

Presenter
Presentation Notes
Disclaimer: The use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. All data are provisional and subject to revision.

Background2

10”

10”

Background3

10”

10”

Research objective:Evaluate and verify the 1941 lab results

with numerical modeling.

US DH-81 suspended-sediment sampler

ISOKINETIC:velocitynozzle = velocityambient

𝑉𝑉𝑛𝑛 =𝑄𝑄𝐴𝐴

Background4

Figures from FISP Report No. 5 (1941), “Laboratory Investigation of Suspended Sediment Samplers”

10”

10”

Background5

Figures from FISP Report No. 5 (1941), “Laboratory Investigation of Suspended Sediment Samplers”

10”

10”

Digitized 1941 lab data6

0.45 mm sediment

0.15 mm sediment 0.06 and 0.01 mm sediment

Digitized 1941 lab data – combined7

Variables tested:• Intake

efficiency (0.3–2.4)

Relative sampling rate a.k.a. Intake efficiency =𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖 𝑣𝑣𝑖𝑖𝑣𝑣𝑣𝑣𝑣𝑣𝑖𝑖𝑖𝑖𝑣𝑣𝑖𝑖𝑎𝑎𝑎𝑎𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖 𝑣𝑣𝑖𝑖𝑣𝑣𝑣𝑣𝑣𝑣𝑖𝑖𝑖𝑖𝑣𝑣

Digitized 1941 lab data – combined8

Variables tested:• Intake

efficiency (0.3–2.4)

• Sediment size (0.45 mm and 0.15 mm)

Digitized 1941 lab data9

Stream velocity = 3, 4, 5 ft/s

Digitized 1941 lab data10

Variables tested:• Intake

efficiency (0.3–2.4)

• Sediment size (0.45 mm and 0.15 mm)

• Ambient velocity (2, 3, and 5 ft/s)

Digitized 1941 lab data11

Variables tested:• Intake

efficiency (0.3–2.4)

• Sediment size (0.45 mm and 0.15 mm)

• Ambient velocity (2, 3, and 5 ft/s)

Simulations12

Variables tested:• Intake efficiency (0.3–2.4)• Sediment size (0.45 mm and 0.15 mm)• Ambient water velocity (2, 3, and 5 ft/s)

Proposed simulationsAdditional simulations

Methods13

Physical Modeling, 1941

Numerical Modeling, 2014

Research objective:Evaluate and verify the 1941 lab

results with numerical modeling.

Presenter
Presentation Notes
Same experiment as in 1941, but now with numerical modeling in 2014.

Methods

Computational Fluid Dynamics (CFD) is a numerical method to solve the

equations of fluid flow.

Advantages of CFD:• Lower cost• Control of flow

conditions• Control of particle

characteristics• Known “true” values• Flow field visualization

FLOW-3D:• CFD software package• Multi-physics modules• Structured, rectangular grid• Volume of Fluid (VOF)

method• Fractional Area-Volume

Obstacle Representation (FAVOR) method

14

Disclaimer: The use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Presenter
Presentation Notes
Flow conditions: velocity, pressure, turbulence; Particle characteristics: size, density, concentration.

Technical drawing of nozzle15

modified from Fig. 9 in FISP Report No. 5 (1941), “Laboratory Investigation of Suspended Sediment Samplers”

3-D rendering of nozzle16

A computer-aided drawing (CAD) package was used to create a 3-D rendering of the nozzle.

Nozzle geometry within FLOW-3Dwith 0.5 mm grid cells.

FLOW-3D: Geometry17

1,2,3 = flux planes

FLOW-3D: Flux planes18

Flux plane

Other model settings

• Boundary conditions:– Upstream: specified

velocity (V) and particles– Sides: stagnation pressure

(P) w/ tangential velocity– Downstream: static

pressure (P)

• RNG turbulence model– similar to k–ε model

• 30 sec finish time• Constant water

temperature at 20°C

19

FLOW-3D results: 0.15 mm particles20

21

FLOW-3D results: 0.15 mm particles

𝑣𝑣 = 𝑖𝑖 ∗ 𝑥𝑥𝑏𝑏 ∗ ln 𝑥𝑥 + 𝐶𝐶

FLOW-3D results: 0.45 mm particles22

FLOW-3D results: 0.45 mm particles23

𝑣𝑣 = ⁄𝑖𝑖 𝑥𝑥 + 𝐶𝐶

FLOW-3D results: Turbulence24

𝐼𝐼 =𝑢𝑢𝑢𝑈𝑈

𝑖𝑖 =32𝑢𝑢′ 2 𝜀𝜀 = 𝐶𝐶𝜇𝜇

34𝑖𝑖23

𝑣𝑣

The turbulence intensity (turbulence level), 𝐼𝐼, was specified for three cases—Low, Medium, and High. The values used were 0.5%, 5%, and 20%, respectively.

Effect of drag coefficient25

Effect of other variables26

Drag coefficient

Nozzle diameter

𝑉𝑉𝑛𝑛 =𝑄𝑄𝐴𝐴

𝑅𝑅𝑖𝑖𝑣𝑣𝑖𝑖𝑖𝑖𝑖𝑖𝑣𝑣𝑖𝑖 𝑠𝑠𝑖𝑖𝑎𝑎𝑠𝑠𝑣𝑣𝑖𝑖𝑖𝑖𝑠𝑠 𝑟𝑟𝑖𝑖𝑖𝑖𝑖𝑖 =𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖 𝑣𝑣𝑖𝑖𝑣𝑣𝑣𝑣𝑣𝑣𝑖𝑖𝑖𝑖𝑣𝑣𝑖𝑖𝑎𝑎𝑎𝑎𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖 𝑣𝑣𝑖𝑖𝑣𝑣𝑣𝑣𝑣𝑣𝑖𝑖𝑖𝑖𝑣𝑣

27

V = Vn

V < Vn

V > Vn

Visualization of streamlines28

V > Vn

Visualization of particles 29

V > Vn

30

V > Vn

Presenter
Presentation Notes
Video removed due to IPDS file size limits.

31

V > Vn

Presenter
Presentation Notes
Video removed due to IPDS file size limits.

32

V < Vn

Presenter
Presentation Notes
Video removed due to IPDS file size limits.

Additional Research Needs

• Different nozzle(s)– D-77 nozzle

• Mixed sediment sizes (distribution)• Natural fill conditions

– function of depth, velocity, water temperature• Turbulence/vertical velocity effects• Design tolerance

– or model sensitivity analysis• Water temperature

33

FLOW-3D results: Water temperature34

Products / Deliverables

• This powerpoint

• Folder of images and videos

• Journal article

• Poster

35

Questions?

Contact info:Justin BoldtU.S. Geological SurveyKentucky Water Science [email protected]

EXTRAS

Gray et al. (2008)39

FISP Report No. 5 (1941) vs Gray et al. (2008)40

FISP (1941) vs. Gray et al. (2008):• up to 3%

difference• using the FISP

(1941) data as the reference in this study

Curve fit to 1941 lab data41

𝑣𝑣 = 𝑖𝑖 ∗ 𝑥𝑥𝑏𝑏 ∗ ln 𝑥𝑥 + 𝐶𝐶

42

FLOW-3D results: 0.45 mm particles43

FLOW-3D results: 5 ft/s44

Drag coefficient45

Drag coefficient = 3.125 Drag coefficient = 8.000

Nozzle diameter for area calculation46

Nozzle diameter = 0.635 cm Nozzle diameter = 0.546 cm

Streamlines47