Effect of Filling Height on Bulk Density of Wheat in a ... · Definition the increase in grain bulk...
Transcript of Effect of Filling Height on Bulk Density of Wheat in a ... · Definition the increase in grain bulk...
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Effect of Filling Height on Bulk Density of Wheat in a Test Weight Cup
Presented by: Marvin C. Petingco PhD Student, Biological & Agricultural Engineering Kansas State University
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Definition the increase in grain bulk density due to the compressibility of grain when subjected to the cumulative weight of overlying material in a storage unit.
Related terms “packing factor”, “compaction”, “pack”
Use as an adjustment factor to accurately determine the mass of the grain stored in a bin
Different impacts on operations Grain elevators – inventory, auditing On-Farm bins – insurance
Packing
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Description: A computer program for predicting packing and mass of stored grain in a bin
How it works? Use Jannsen’s equation and the relationship between overbearing pressure , moisture content and bulk density
Packing is dependent on the initial or uncompressed bulk density (Do) In practice, test weight is used as input for Do Q: Is the uncompressed in-bin bulk density = test weight?
WPACKING
Source: Thompson et al., 1987; Ross et al., 1979
Dx= weighted average of Di’s D0= initial uncompressed bulk density Di’s
Bulk density gradient
D1
Dn
D2
dy
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Bulk Density is NOT an intrinsic property Test weight and hectoliter weight
oBoth standard measure of bulk density oUse different setups oGive two different values Conversion factor was developed
Q: How much does the uncompressed in-bin bulk density varies with the test weight?
We want to determine the in-bin bulk density before overbearing pressure is applied
Improve WPACKING prediction
A: They are NOT Equal.
Test weight Device (Seedburo)
Australia Chondrometer (Graintec)
Source: Greenaway, 1977,
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Manner of filling: filling method, filling height, filling rate Size and type of confining space
Grain properties kernel density, moisture content, friction coefficients
size of the particles, size distribution, composition – amount of fines, broken,
and foreign materials, dockage
particle shape
Factors Affecting Bulk Density
Source: Stephens & Foster, 1978; Chang et al., 1983; Mosey, 1984; Molenda et al., 1993; Zhong et al., 2001; Montross & McNeill, 2005; Yang & Williams, 1990 -
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Determine the effect of filling height on wheat bulk density in a test weight cup Use Discrete Element Method (DEM) simulation to predict the wheat bulk
density for different filling heights
Objectives of the Study
DEM models the true physics of every single particle
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Sample hard red winter wheat (Varieties: Garrison, KanMark, 1863)
Materials and Methods
Grain Properties Garrison KanMark 1863
Test Weight, lb/bu 58.68 (0.14) 61.44 (0.09) 61.70 (0.07)
MC, % wb 11.1 (0.1) 11.5 (0.1) 12.4 (0.1)
Kernel Apparent Density (kg/m3) - 1370 (3) 1378 (4)
Mean Kernel Length (mm) - 5.3 (0.5) 5.6 (0.5)
Mean Kernel Width (mm) - 2.6 (0.6) 2.7 (0.5)
Mean Kernel Thickness (mm) - 2.5 (0.4) 2.5 (0.4)
Mean Equivalent Sphere Diameter (mm) - 3.2 (0.5) 3.4 (0.5) % Retained in Sieve
Variety #6 #7 #8 #10 Pan Total
Garrison 0.2 21.6 60.6 16.0 1.6 100.0
KanMark 14.2 67.3 15.5 2.8 0.3 100.0
1863 9.7 64.0 22.0 3.9 0.4 100.0
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Setup Winchester bushel test with some modifications
Materials and Methods
Filling heights: 1h, 2h, 4h, 8h, 16h, 32h
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DEM Simulation Particle models
Materials and Methods
Without Striking With Striking
Single-Sphere Seven-Sphere
Schemes
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DEM Simulation Particle and Material Properties Input
Materials and Methods
Particle Properties Measured/ Published* 1s 7s
Particle – Wheat
Poisson’s ratio 0.2* 0.2 0.2
Solid Density (kg/m3) – KM,1863 1374 1374 1374
Shear Modulus (Pa) 7.65 x 107* 7.65 x 107 7.65 x 107
Coefficient of Restitution (wh-wh) 0.33* 0.50 0.33
Coefficient of Static Friction (wh-wh) 0.30*, 0.38* 0.30 0.38
Coefficient of Rolling Friction (wh-wh) 0.20*, 0.18* 0.15 0.05
Coefficient of Restitution (wh-b) 0.6* 0.50 0.50
Coefficient of Static Friction (wh-b) 0.37* 0.2 0.30
Coefficient of Rolling Friction (wh-b) 0.1* 0.05 0.05
Coefficient of Restitution (wh-w) - 0.40 0.40
Coefficient of Static Friction (wh-w) - 0.30 0.30
Coefficient of Rolling Friction (wh-w) - 0.01 0.01
Material Properties Input Values (1s,7s)
Material-Brass
Poisson’s ratio 0.31*
Solid Density (kg/m3) 8490*
Shear Modulus (Pa) 3.70 x 1010*
Material-Wood
Poisson’s ratio 0.4*
Solid Density (kg/m3) 5000*
Shear Modulus (Pa) 1.00 x 107*
Properties Input Values (1s,7s)
Size Distribution
Mean – KM, 1863 1.00 (3.3 mm)
Std Dev – KM, 1863 0.15 (0.5 mm)
Scale by Radius
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Laboratory Test: Filling Height Vs Bulk Density
Results and Discussion
Variety Bulk Density (kg/m3) at Different Filling Heights
1h 16h 32h
KanMark 791.1 (1.3) 802.1 (0.5) 808.3 (0.3)
1863 794.5 (1.0) 806.3 (0.3) 811.5 (0.6)
Garrison 756.3 (1.8) 766.0 (4.3) 774.3 (4.0)
643216842
780
775
770
765
760
755
Filling Height (in)
Bulk
Den
sity
(kg/
m3)
95% CI for the Mean
Individual standard deviations are used to calculate the intervals.
Interval Plot of Bulk Density vs Filling Height
Increase in bulk density as filling height is increased
1h
16h
32h
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DEM simulation is done at particle level
Results and Discussion
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Time to Fill the Test Cup: DEM Simulation Vs Laboratory Results
Results and Discussion
Filling Height Time to Fill (s) % Difference from Actual
Actual 1s 7s 1s 7s 1h 5.4 (0.2) 6.1 5.9 13 9
16h 5.4 (0.1) 6.1 6.1 13 13 32h 5.4 (0.2) 6.3 6.2 17 15
Simulation time ~ 10 – 20 % difference with the actual Time for mass to stabilize after overflowing in the test cup takes a lot of time in simulation as compared with laboratory experiment
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DEM Simulation: Filling Height Vs Heap Profile Results and Discussion
Single-Sphere Particle Model Seven-Sphere Particle Model
1h
1h
16h
16h
32h
32h
Z
X
Z
X
Z
Y
Similarity of heap profile in ellipsoidal particle model with laboratory experiment
Importance of shape of particle model
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Bulk Density: DEM Simulation Vs Laboratory Results
Results and Discussion
Filling Height Bulk Density, (kg/m3) % Difference from Actual
Actual 1s 7s 1s 7s
1h 792.8 789.1 798.7 -0.5 0.7
16h 804.2 803.9 807.9 0.0 0.5
32h 809.9 815.6 821.2 0.7 1.4
Filling Height Bulk Density, kg/m3) % Difference from Actual
Actual 1s 7s 1s 7s
1h 792.8 780.7 790.5 -1.5 -0.3
16h 804.2 792.8 798.6 -1.4 -0.7
32h 809.9 801.8 810.4 -1.0 0.1
DEM simulation without striking
DEM simulation with striking
Simulated and actual bulk densities are in good agreement for both schemes
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Bulk density of wheat increases with filling height DEM simulation can predict the bulk density of wheat (KanMark, 1863) at
different filling heights Single-sphere particle model
oWithout striking predicted with lower percentage error (-0.5% to +0.7%) compared with striking (-1.0 % to -1.5%)
Seven-sphere particle model oWith striking predicted with lower percentage difference (-0.7% to +0.1%)
compared with without striking (+0.5 % to +1.4 %) Actual particle shape is critical to get accurate surface or heap profile
Conclusion
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Example: Filling Height and Bin Diameter
d , h , H d , h , H’ d', h , H’ Initial Bulk Density or
Test Weight BD
d*, h , H* Bulk Density as
affected by filling height BD(H’)
Bulk Density as affected by filling height and bin
diameter BD(H’, d’)
Uncompressed In-Bin bulk density
BD0
Average In-Bin Bulk Density at depth y using
WPACKING
d*, h , H*, y
Laboratory Experiment and DEM Simulation DEM Simulation DEM-ANSYS Simulation and WPACKING
d
h d
h
d'
h
d*
h
d*
h
H
H’ H’ H*
H*
y
What we want to do…
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Acknowledgements The Andersons Grant Funding Program Team Competition USDA and Kansas Ag Experiment Station Dan Brabec, Jonathan Zeller, Alex King, Elizabeth Maghirang, Dennis Tilley, Austin
Ebert, Josephine Boac, Fei Xyza Asuncion
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Funding Source: The Andersons Grant Funding Program Team Competition Project Title: Determining Time, Aeration, and Loading Cycle Effects on Grain Packing Project objective being addressed: Effect of secondary crop quality parameters on packing Team Members: Mark Casada - USDA Ronaldo Maghirang –Kansas State University Marvin Petingco – Kansas State University Sidney Thompson – University of Georgia Michael Montross – University of Kentucky Samuel McNeill – University of Kentucky Aaron Turner – University of Kentucky Rumela Bhadra – Kansas Department of Health & Environment
THANK YOU!