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Experiment in determining the permeability and the filtration grain diameter of a porous granular media (sand
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1
Experiment C2
PERMEABILITY
I. Introduction/Summary
Permeability or hydraulic conductivity refers to the ease with which water can flow in
soil. This property is necessary for the calculation of seepage through earth dams or under
sheet pile walls, the calculation of the seepage rate from waste storage facilities (landfills,
ponds, etc.) and the calculation of the rate of settlement of clay soil deposits [1].
Darcy's Law is a generalized relationship for flow in porous media. It shows the
volumetric flow rate is a function of the flow area, elevation, fluid pressure and proportionality
constant. It may be stated in several different forms depending on the flow conditions. Since its
discovery, it has been found valid for any Newtonian fluid. Likewise, while it was established
under saturated flow conditions, it may be adjusted to account for unsaturated and multiphase
flow [2].
The saturated hydraulic conductivity of a soil can be predicted using empirical
relationships, capillary models, statistical models, and hydraulic radius theories. A well-known
relationship between permeability and the properties of pores was proposed by Kozeny and
later modified by Carman. The resulting equation is largely known as the Kozeny-Carman
equation, although the two authors never published together. In the geotechnical literature,
there is a large consensus that the Kozeny-Carman equation applies to sands but not to clays [3].
II. Objectives
The experiment aimed to determine the permeability and the filtration grain diameter of a
porous granular media (sand).
III. References
[1] Retrieved fromhttp://www2.ggl.ulaval.ca/personnel/paglover/CD%20Contents
/GGL66565%20Petrophysics%20English/Chapter%203.PDF on February 16, 2013
[2] Retrieved from www. legacy.library.ucsf.edu on February 16, 2013
[3] Retrieved from http://infohost.nmt.edu/~petro/faculty/Engler524/PET524-perm-2-ppt.pdf
on February 16, 2013
Figure 1 Armfield Permeability and Fluidization apparatus
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[4] Retrieved from www. onlinelibrary.wiley.com on February20, 2013
[5] Retrieved from www. http://www.discoverarmfield.co.uk/data/w3/?js=enabled on February
20, 2013
[6] Retrieved from [5] Retrieved from http://www.discoverarmfield.co.uk/data/w3/?js=enabled
on February 21, 2013
IV. Equipment/Materials
The apparatus used in the experimentation is shown in Figure 1. The pre-sieve sand, with
diameter greater than 0.5mm and weighs 501.9g, was used and dehumidified. Additional
equipment includes analytical balance, 50-mL beaker and thermometer (0.1 0C calibration).
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V. Theory
VI. Operating Conditions and Procedure
The pre-sieve sand was placed in the machine dryer to remove the moisture content.
Then it was weighed in an analytical balance to obtain 501.9 grams. Valves 1, 2, 3 and 4 of the
permeability apparatus were securely closed while valves 5, 6, 7 and 8 were opened. After the
sand was put in the Perspex column and filled with water. The valves were adjusted to let the
water flow through the sand eliminating the air trapped in the voids of the sand. The water was
permitted in the column by opening valves 1 and 4 and its manometer levels were noted for
each setting of the flow rate. The valves 5 and 6 were closed once the manometer approached
its limits. Then another set of readings of the decreasing flow rate was done.
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VII. Data and Results
Q (cm3/min
)
Va (mm/s)
dh (mm)
dh/dL (mm/mm)
0 0 22 0.04
25 0.367394
42 0.076363636
50 0.734787
87 0.158181818
75 1.102181
129 0.234545455
100 1.469575
197 0.358181818
125 1.836968
252 0.458181818
150 2.204362
312 0.567272727
175 2.571756
353 0.641818182
Q (cm3/min)
Va (mm/s)
dh (mm)
dh/dL (mm/mm)
0 0 8 0.01454545525 0.367394 69 0.12545454550 0.734787 131 0.23818181875 1.102181 181 0.329090909
100 1.469575 244 0.443636364125 1.836968 302 0.549090909150 2.204362 375 0.681818182175 2.571756 423 0.769090909150 2.204362 377 0.685454545125 1.836968 311 0.565454545100 1.469575 246 0.44727272775 1.102181 181 0.32909090950 0.734787 136 0.24727272725 0.367394 82 0.1490909090 0 3 0.005454545
5
200 2.939149
422 0.767272727
175 2.571756
383 0.696363636
150 2.204362
353 0.641818182
125 1.836968
299 0.543636364
100 1.469575
254 0.461818182
75 1.102181
193 0.350909091
50 0.734787
143 0.26
25 0.367394
92 0.167272727
0 0 28 0.050909091
Table 1: Data obtained in Trial 1 Table 2: Data obtained in Trial 2
VIII. Treatment of Results
0 0.5 1 1.5 2 2.5 30
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
f(x) = 0.29606679250571 x + 0.0166746411483255R² = 0.997620900336109
Va
dh/dL
Figure 2: Head Loss versus Fluid Velocity Graph of Trial 1
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0 0.5 1 1.5 2 2.5 30
50100150200250300350400450
f(x) = 162.83673587814 x + 9.17105263157887R² = 0.997620900336109
Va
dh
Figure 3: Head Loss versus Fluid Velocity Graph of Trial 2
0 0.5 1 1.5 2 2.5 3 3.50
0.10.20.30.40.50.60.70.80.9
f(x) = 0.251185981965776 x + 0.0334329597343294R² = 0.96529971415591
Va
dh/dL
Figure 4: Hydraulic Gradient versus Fluid Velocity Graph of Trial 1
0 0.5 1 1.5 2 2.5 3 3.50
0.10.20.30.40.50.60.70.80.9
f(x) = 0.251185981965776 x + 0.0334329597343295R² = 0.96529971415591
Va
dh
Figure 5: Hydraulic Gradient versus Fluid Velocity Graph of Trial 2
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IX. Analysis/Interpretation of Results
Plotting the obtained data from trials 1 and 2, the relationship of the head loss and fluid
flow rate or velocity can be correlated wherein the head loss also increases as the fluid velocity
increases thus demonstrating a direct proportionality as shown in figures 2 and 3. The
parameter, R2, is 0.997 for both trials by using the linear regression of the graphs. Averaging
the inverse of the slopes will result to 3.378mm/s per mm H2O as their permeability constant.
The diameter was also computed obtaining the value of 0.46mm which was close enough in the
given diameter in the literature.
X. Answers to Questions
1. What is the importance of knowing the permeability of a given porous medium? In what
particular areas in chemical engineering is the concept of permeability most relevant. Give
examples.
Evaluation of the permeability of a given medium is important in quantifying flow rate of
the fluid which is essential in most of the chemical processing industries. Porous media
have many applications in chemical engineering area such as calculation of seepage
through earth dams or under sheet pile walls, the calculation of the seepage rate from
waste storage facilities (like landfills and ponds) and the calculation of the rate of
settlement of clay soil deposits, etc.
2. What operating parameters must be considered in determining the permeability of a given
porous media? Does the choice of liquid affect the result of the experiment?
The factors that affect the degree of permeability, considering the pressure differential
is constant, are grain size and shape, moisture content used in tempering the grain,
temperature and lastly, fluid density and viscosity. Also the choice of the liquid affects the
result of the experimentation because of its physical properties, the more viscous and
denser the fluid is, the more it will inhibit the fluid flow thus it decreases.
XI. Findings, Conclusion, and Recommendation
The experimentation proved that the hydraulic gradient and head loss with volumetric
flow per area has linear relationship which is in accordance to Darcy’s Law. The calculated
permeability and diameter of the sand are 3.378mm/s and 0.46mm, respectively and still
acceptable though there were discrepancies comparing the calculated results from the given
values in the literature.
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Furthermore, it is recommendable to tap continuously the Perspex column in the
experimentation proper in order to minimize the source error because this ensures that less air
will be trapped in the voids of the sand. Squeeze in the bubbles or the air gaps in the pipes
wherein this reduces the discrepancies of the results from the theoretical values as well as for
an easier determination of the data. The use of other type of porous media is also
recommendable in this experiment, except of using clay, which is a limitation to the use of
Kozeny-Carman equation because it only applies to materials with uniform pore size
distribution.