Yuan Wang1,2, Cuifeng Du1,2, Fan Wang1,2. 1. School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, People's Republic of China. 2. Key Laboratory of Ministry of Education for High Efficiency Exploitation and Safety of Metal Mine, Beijing 100083, People's Republic of China.
Abstract
With an aim at the dust problem of open dust sources in construction sites, open stockyards, mines, docks, and other areas, a polymer chemical dust inhibitor was developed in this study that is suitable for stockyards through theoretical analysis and laboratory tests. Through a single-factor experiment and an orthogonal experiment, the viscosity value of dust suppressant and the hardness value of the crust taken as evaluation indexes, the optimal formula of dust suppressant for a pile was finally obtained after an analysis of range and variance: the optimum formulation of the dust suppressant for stockpiles was finally obtained by: 0.6%A + 0.2%B + 0.28%C + 0.7%D. The performance of the dust suppressant was characterized. The results showed that the longer the suppression time of suppressants, the better the weather resistance and environmental friendliness. Polymeric dust suppressants for stockpiles can effectively suppress the open dust, improve the air quality, protect the climate environment, and maintain people's health and have a certain industrial application prospect.
With an aim at the dust problem of open dust sources in construction sites, open stockyards, mines, docks, and other areas, a polymer chemical dust inhibitor was developed in this study that is suitable for stockyards through theoretical analysis and laboratory tests. Through a single-factor experiment and an orthogonal experiment, the viscosity value of dust suppressant and the hardness value of the crust taken as evaluation indexes, the optimal formula of dust suppressant for a pile was finally obtained after an analysis of range and variance: the optimum formulation of the dust suppressant for stockpiles was finally obtained by: 0.6%A + 0.2%B + 0.28%C + 0.7%D. The performance of the dust suppressant was characterized. The results showed that the longer the suppression time of suppressants, the better the weather resistance and environmental friendliness. Polymeric dust suppressants for stockpiles can effectively suppress the open dust, improve the air quality, protect the climate environment, and maintain people's health and have a certain industrial application prospect.
The open dust sources
of construction fields, open stockpile fields,
mines, and wharves are an important increasing urban dust source.
In the process of open stockpile transportation and long-term stacking,
due to the lack of adhesion, looseness, dryness, friability, and protective
layer,[1] the stockpile is exposed to natural
weathering, and it is easy to produce a great deal of dust by wind
action. Such an open dust source is difficult to supervise without
systematic control methods, and the dust pollution produced has seriously
affected urban air quality, further endangering people’s health
and affecting production safety.[2,3] Therefore, it is urgent
to implement the dust suppression of the stockpile and develop a dust
suppressant.Dust suppression by sprinkling water,[4,5] dust containment
structure suppression, dust-proof covering with a net,[6−11] chemical dust suppression,[12] and other
dust-prevention methods are commonly used. At present, due to the
lack of water resources, the cost of sprinkling water to suppress
dust has increased.[13] Moreover, due to
the drought and little rain in northern China, rapid evaporation,
a short time of sprinkling water to suppress dust, and freezing in
winter, the effect of this practical application method is limited.
The method of covering with canvas also has the disadvantages of a
small coverage, such as small coverage area, poor use effect, and
no solution for secondary dust. The method of using chemical dust
suppressants to suppress dust has been widely adopted by countries
all over the world since its birth and has achieved good results and
broad application prospects.[14,15] From the perspective
of performance and economy of dust suppression products developed
by various scholars, there are still common problems such as high
cost,[16−18] inconvenient use, relatively single performance,[19−21] poor durability,[22,23] and a certain degree of environmental
pollution.[24−26] Therefore, the large-scale promotion and use of dust
suppressants in dust suppression and sand fixation are limited. Polymer
dust suppression devices that are cheap, multifunctional, durable,
convenient, and ecologically benign are on the horizon.After
it is sprayed, the dust suppressant created in this study
may generate a hardened layer on the top of the stockpile with some
moisture absorption and moisture release, as well as compressive strength.
Its weather resistance is good, which can meet the needs of dust suppression
of open dust sources such as an open stockpile. The production process
is simple and efficient, the raw materials are cheap and available,
and the effect is long. It not only has the great value of development
and application but also provides the theoretical data and technical
basis for further research of new dust suppressants.
Materials and Methods
Single-Factor Experiment
The best
compounding agent and the most suitable concentration of each compounding
agent were determined using a single-condition experiment of hygroscopic,
film-forming, filler, and surfactant agents. The specific condition
of the hygroscopic agent was determined among PAA-Na, CMS, glycerol,
TEA, and TMPTA. Solution A was determined as the monomer of the moisture-absorbing
agent by determining the hygroscopicity. The content varies between
0.45% and 0.6%. The surfactant single factors used were NADDBS, SLS,
and SDS. Solution B was chosen as the surfactant monomers to execute
an orthogonal test, whose concentration varied from 0.15% to 0.3%,
on the basis of an osmosis test with a friction coefficient value.
The packing components used were guar, xanthan, SAA, and soluble starch.
The filler monomer C for the orthogonal test, whose concentration
ranged from 0.16% to 0.28%, was identified by tests on the value of
the hardness of the crust of the solution and the resistance to water.
As a single condition of film formation, CMC cellulose, 1788 PVOH,
and PEGA were used. For the orthogonal experiment (the ratio of 1
and 2 is 1:2) the film formation was determined as the monomer of
the film-forming agent, whose concentration ranged from 0.5% to 0.8%,
on the basis of the film-forming characteristics, stickiness level,
measurement, correlation, a test of water resistance to corrosion
of the finished layer, and tests on the film’s physical qualities.
Experimental Design of Orthogonal Experiment
This experiment’s goal is choosing the dust suppressant’s
initial formula concentration; therefore, factors must be chosen and
the level determined. Different explanations or circumstances that
directly affect the test signs are referred to as “factors”.
The so-called level refers to the variation in the value of the experiment’s
chosen component. The variables in this experiment are the different
compounding agents, such as water absorption agents, film-forming
agents, surface active agent, and filters, and for every blending
agent, the dose is the specified concentration value. In this paper,
four components were chosen, each with a concentration level of 4.
The standard orthogonal table L16(45) was used
to arrange the experiment on the basis of the values of components
and doses chosen. The chart can include up to four tiers and five
elements. This experiment just requires four of them. The stochastic
error can be approximated by using a blank column in doing an analysis
of variance (ANOVA) for the orthogonal experiment data.
Experimental Design of Characterization of
Dust Suppressant
Design of an Experiment
to Characterize
the Fundamental Physical and Chemical Features of a Dust Suppressor
Viscosity.
The dust suppressant’s
stickiness is connected to its stability and is a significant indication
to evaluate the dust suppressant’s performance. When the temperature
in the solution was held at 25 °C, a rotating viscometer (the
instrument model is NDJ-5S) was applied to test the stickiness of
the dust suppressant, as stated in the GB/T10247-2008 standard Viscosity Measurement.Surface tension. The surface tension
was measured by a surface tension meter (the instrument manufacturer
was BZY). Due to the high viscosity of the measured solutions, a platinum
plate needed to be wetted a 5 mm height in the process of measurement
and some of the surface solution was gently wiped with paper. A sample
table was used to record the stable value with maintenance of the
displayed value of 0–5 mN/m.pH value. The pH value of the dust
suppressant was measured with a pH meter (the instrument manufacturer
was Mettler Toledo) in the experiment. A dust suppressant that had
too much acid or too much alkali could change the performance of the
materials and may might have an influence on the surrounding soils.
After the best ratio of dust suppressant solutions was determined,
the pH value was obtained with a pH meter.
Experimental Design of Surface Curing Effect
An 80 g portion of experimental sand was evenly deposited on a
conical surface plate. A 15 mL portion of dust suppressant was sprayed
uniformly on the sand pile’s surface, and the sand pile was
then dried naturally at room temperature. The properties and cross-section
of the sand pile were observed by properly spraying 40 g of the experimental
sand on a φ75 mm watch glass with 10 mL of deionized water or
the dust suppression solution. When the samples of sand were naturally
dried, the surface layers were taken as samples for carbon spraying.
Then the surface layers of both samples were analyzed through an environmental
scanning electron microscope. With an amplification of the surfaces
of samples, the bonding state between sand grains could be observed
directly from the surface microscopic morphology and compared with
the sand mold surface sample in a control group dried after spraying
deionized water.
Experimental Design of
Compression Strength
The compressive strength represents
not only the strength of the
dust suppressant–sand particle bonding but also the intensity
of the dust suppressant–sand combination generated consolidation
level. A nonstandard component of a sand column sample (produced by
the dust suppressant made according to the ideal formula) were crushed
by a WDW-200D universal material testing machine at 2 mm/min compression
speed in a room set at the specific temperature of 25 °C. The
maximum compressive strength was determined by the connection between
the sand column’s compressive strength and displacement.
Experimental Design of Performance of Moisture
Absorption and Moisture Release
After they were sprayed with
dust suppressant, sand grains of the sand mold sample on the surface
layer could form a rigid consolidated layer due to the cohesive effect
of dust suppressants. The hygroscopic agent in the dust suppressant
could play a role in retaining moisture and reducing evaporation,
and the consolidated layer could play a certain covering role in protecting
the inner sand grains from causing the raising of dust. The moisture
absorption and moisture release performance of dust suppressants reflect
the sand-fixing effect of dust suppressants. The performance of moisture
absorption and moisture release of dust suppressants is represented
by the moisture absorption rate Wi, which
is shown as eq where Wi is the dust sample
moisture absorption rate after spraying
for several hours (%), mi is the Petri
dish and dust sample weight (g) after spraying for several hours,
and ma is the Petri dish and dust sample
initial weight (g). Six identical sand molds were prepared; five sand
molds were evenly sprayed with 10 mL of the dust suppressant solution,
and the other sand mold was evenly sprayed with 10 mL of deionized
water. All six samples were dried to constant weight at 105 °C
in a drying oven and cooled naturally in a drying oven with the lid
closed. Their weight was measured and recorded as the initial weight.
All of the molds produced were placed in a cool and ventilated environment.
The weights of all the sand mold samples was measured at 9 am and
18 pm for 10 days, to calculate the moisture absorption of the sand
mold sample Wi.
Experimental
Design of Performance of Resistance
to Wind Erosion
The integrity of the consolidation level
generated with the dust suppressant is mostly responsible for the
wind erosion resistance. If the consolidated layer can stay intact
in a high-wind setting, it signifies that the sand beneath it is immobile,
reducing the risk of poor weather and wind raising dust. Fifteen milliliter
portions of the dust suppressant solution and of deionized water solution
were evenly sprayed on the surface of the sand pile samples, and the
samples were dried at a temperature of 80 °C and weighed. The
surface of a sand mold sample was blown in parallel through an SF
type axial flow blower for 10 and 30 min, respectively, with four
and seven gusts. The state of the consolidation layer under different
conditions was observed. The wind erosion rate can be calculated by eq .where W is
the wind erosion rate (%), m1 is the weight
of the sand mold sample before blowing (g), and m2 is the weight of the sand mold sample after blowing
(g).
Experimental Design of Rain Resistance
This experiment studied the ability of dust suppressants to resist
rain erosion in a natural environment. Fifteen milliliter portions
of the dust suppressant solution and deionized water were evenly sprayed
on the surfaces of the sand pile samples, and the samples were dried
in a high-temperature blast drying oven (at the temperature of 80
°C) and weighed. Simulated rainfall was carried out by spraying
water at a flow rate 2 mL/s for 2 min, and the sample was weighed
after it was dried, constituting a spraying cycle. After each spraying
cycle, the mass residual rate L can be calculated
according to eq , and
the spraying cycle was repeated a total of five timeswhere L is
the weight residue rate (%), m1 is the
weight of the sand mold sample before spraying (g), and m2 is weight of the sand mold sample after it was sprayed
and dried (g). The weight residue rates for two sets of sand mold
samples were recorded.
Experimental Design of
Performance of Freezing
and Thawing Resistance
Since the dust suppressant will be
exposed to extreme temperature variations in its actual use, it should
be able to withstand freezing and thawing. The compressive strength
of a dust suppression sand column sample that experienced varying
thawing cycles was assessed in this experiment and utilized as an
indication to balance the consolidated performance of dust suppressant
after numerous freezing–thawing cycles. Five sand columns were
sprayed with a dust suppressant and held at temperatures below −20 °C
for 12 h and then below 80 °C for another 12 h. The columns were
taken through a freeze–thaw cycle five times. A pressure test
was performed on the samples from each freeze–thaw cycle using
the procedure described in section 2.3.3.
Results and Discussion
Study of the Dust Suppressant’s Formulation
As is illustrated in Table in the orthogonal test, 16 dust suppressant solutions were
formulated. The stickiness of each mixture and the hardness for the
curing layer were evaluated, and the best dust suppression formulation
was eventually established using a range analysis and variance analysis.
Table 1
Orthogonal Experiment Formulation
Grouping Chart
factor
(%)
experiment no.
A
B
B
D
1
0.45
0.15
0.16
0.5
2
0.45
0.20
0.20
0.6
3
0.45
0.25
0.24
0.7
4
0.45
0.30
0.28
0.8
5
0.50
0.15
0.20
0.7
6
0.50
0.20
0.16
0.8
7
0.50
0.25
0.28
0.5
8
0.50
0.30
0.24
0.6
9
0.55
0.15
0.24
0.8
10
0.55
0.20
0.28
0.7
11
0.55
0.25
0.16
0.6
12
0.55
0.30
0.20
0.5
13
0.60
0.15
0.28
0.6
14
0.60
0.20
0.24
0.5
15
0.60
0.25
0.20
0.8
16
0.60
0.30
0.16
0.7
Range Analysis of Orthogonal Test
According to the
results of a single-factor experiment, the orthogonal
experiment’s four factors are A, B, C, and D. The formula table
for 16 orthogonal tests was obtained using an L16(45) orthogonal table, as shown in Table . As an assessment index, the stickiness
of the dust suppression mixture is used. The average values of the
stickiness and hardness as indicators are assigned to the vertical
axis in Figure , and
the values of the four indicators are determined as the horizontal
coordinate in Figure , in order to display more directly the effect patterns of factors
A, B, C and D with regard to the the index of the viscosity level. Figure a depicts the average
response against theviscosity index.
Figure 1
(a) Mean value response graph of the viscosity
of the curing layer.
(b) Mean value response graph of the hardness of the curing layer.
(a) Mean value response graph of the viscosity
of the curing layer.
(b) Mean value response graph of the hardness of the curing layer.The effect of the four values A, B, C, and D on
the stickiness
factor is shown as the mean value of the stickiness index. The greater
the stickiness, the more prominent the dust suppressant’s influence
on dust collection and consolidation. Figure a shows that the maximum values of A, B,
C, and D are 4, 1, 4 and 3, respectively. The best combination of
the viscosity orthogonal experiment is 4, 1, 4, and δ3 for A,
B, C, and D, respectively. The stickiness of the dust suppressant
mixture incrustation is used for the ssment index. The hardness of
the cured layer of surface dust samples was examined after drying
of 16 different dust suppression solutions. Figure b depicts the average value of the hardness
index as a response figure. The effect of four tiers of variables
on the hardness index is reflected in the mean value of the hardness
index. The greater the hardness of the solidified layer, the more
prominent the compressive and antirheumatic performance of the dust
suppressant incrustation. As is shown in Figure b, the maximum values of A, B, C, and D are
4, 2, 4, and 2, respectively. The optimal combination of hardness
orthogonal tests is 4, 2, 4, and 2 for A, B, C, and D, respectively.
Analysis of Variance in Orthogonal Experiment
A variance analysis was used to better understand the effect of
all experimental conditions on the overall performance of dust suppressants,
using the viscosity and hardness as assessment markers. Table displays the results.
Table 2
Variance Analysis of Viscosity and
Hardnessa
experiment
df
adj ss
adj ms
F
Fcritical(0.10)
significance
viscosity
factor
A
3
3232988
1077663
7.87
5.36
remarkable
factor B
3
279374
93125
0.68
5.36
unremarkable
factor C
3
1407519
469173
3.42
5.36
unremarkable
factor D
3
523067
174356
1.27
5.36
unremarkable
error
3
411014
137005
total
15
5853961
hardness
factor A
3
80.25
26.75
14.13
5.36
remarkable
factor B
3
36.93
12.31
6.5
5.36
remarkable
factor
C
3
10.51
3.51
1.85
5.36
unremarkable
factor D
3
0.9
0.3
0.16
5.36
unremarkable
error
3
5.68
1.89
total
15
134.28
The F test is used
to assess the relevance of decomposing the variance of a variable
into various parts according to different needs, comparing the magnitudes
between them, and decomposing the variance of a variable into different
parts according to different needs. It is a significant test for the
difference between the means of two or more samples, often known as
the “analysis of variance” or “F test”.
The F test is used
to assess the relevance of decomposing the variance of a variable
into various parts according to different needs, comparing the magnitudes
between them, and decomposing the variance of a variable into different
parts according to different needs. It is a significant test for the
difference between the means of two or more samples, often known as
the “analysis of variance” or “F test”.Table shows that,
when the viscosity of the dust suppression solution is used as the
performance assessment index, the F value of factor
A (7.87) is greater than the Fcritical(0.10) value (5.36), indicating that factor A has a considerable effect
on this index. When the stickiness of the dust suppression mixture
is used as the performance assessment indicator, factors A and B both
have F values greater than the Fcritical (0.10) value, indicating that factor A and
B both have a considerable effect on the hardness of the dust suppressant
mixture. The other two factors have no influence on the performance
assessment index, whether it be viscosity or hardness.The degrees
of freedom for each source are denoted by df. The degrees
of freedom are 2 (n – 1) if the factor has
three levels, adj ss is the sum of squares between groups (factor)
and within groups (error), adj ms is the sum of squares divided by
the degrees of freedom as the mean square, the F value
is calculated by dividing the factor ms by the error ms (this ratio
can be compared to the f critical found in Table ) Fcritical is
a specific value that can be obtained by consulting the F boundary
table. Since the formula results obtained by the range and variance
analysis were different, the comprehensive balance method was adopted
to confirm the optimal formula. A factor has a positive and considerable
influence on each assessment index as the major factor governing the
alterations of numerous evaluation indices. Furthermore, when the
concentration of the dust suppressant was increased , the viscosity
and hardness of the dust suppressant increased, therefore 4 was chosen
as the best amount for factor A. Because factor B has a greater effect
on the hardness index than on the viscosity index, 2 is chosen as
the best amount on the basis of the hardness assessment index. The
influence of factors C and D on the viscosity index is more significant
in comparison to that on the hardness index; thus, 4 and 3 are chosen
as the optimal levels for factors C and D, respectively, for the viscosity
index. To sum up, the optimum ratio of dust suppressant is 4::2:4:3:
namely, 0.6% A + 0.2% B + 0.28% C + 0.7% D.
Validation
Experiments
According
to the optimum conditions obtained from the orthogonal experiment,
the experiment was conducted. The dust suppressant solution was prepared
according to the formula of 0.6% A + 0.2% B + 0.28% C + 0.7% D (consisted
of 0.46% D2 + 0.24% D1). After three parallel tests, the average viscosity
is 4179 mPa s, and the average hardness is 37.45 HD. It can be seen
that the viscosity and hardness of the dust suppressant are higher
than those in the orthogonal test. To sum up, the optimized formulation
has a better comprehensive performance.
Characterization
of Dust Suppressant
In the actual application process, different
types of weather conditions
will be faced. It is necessary to explore the performance of dust
suppressants under different conditions (such as rainfall, gale, frost,
heat, and so on). Therefore, a characterization experiment was carried
out on the dust suppressant.
Dust Suppressant’s
Basic Physical
and Chemical Properties
The ideal dust suppressor formula’s
viscosity, surface tension, and pH value were all examined. The cust
suppressant has a viscosity of 4131 mPa s. When the viscosity values
of the orthogonal tests are compared to the viscosity values for the
same rotor and rotating speed, the viscosity value was clearly increased.
It can be shown that the dust suppressant may be adequately diluted
in practical applications, lowering the cost of dust suppression.
The dust suppressant’s surface tension is 37.13 mN/m. The interfacial
pressure of the dust suppressant is lowered as a result of the addition
of the surfactant, and it can effectively penetrate into the sand
during the spraying process. The pH value of dust suppressant is 8.31,
which makes it weakly alkaline.
Surface
Curing Effect
A certain
thickness of the consolidation layer came into being on the surface
of a sand mold sample after spraying dust suppressant (Figure a,b). The consolidation layer
can prevent the diffusion of sand and the dust source, slow down the
evaporation of water, and reduce the risk of inducing a dust-raising
disaster. Figure c,d
shows micrographs of the microstructure on the mold sample surface
sprinkled with deionized water and dust suppressant taken with a scanning
electron microscope (Figure d). Parts c and d of Figure are compared. The loose sand particles on the sample
surface sprinkled with deionized water do not form a solid agglomeration
structure, resulting in a poor compressive strength. It is easy to
see binders created between sand grains on the sample surface sprinkled
with the dust suppression mixture after the dust suppressants have
dried. Sand particles clump together, forming a consolidated layer
with increased compressive strength. This microstructure also serves
as a basis for sand stabilization, antiwind and antiwater erosion,
and dust emission reduction through the use of a dust depressant.
Figure 2
(a) Sand
mold consolidation layer. (b) Section of a sand mold sample
consolidation layer. (c) Scanning electron micrograph of a sand mold
sample surface after spraying deionized water. (d) Scanning electron
micrograph of a sand mold sample surface after spraying the dust suppressant
solution.
(a) Sand
mold consolidation layer. (b) Section of a sand mold sample
consolidation layer. (c) Scanning electron micrograph of a sand mold
sample surface after spraying deionized water. (d) Scanning electron
micrograph of a sand mold sample surface after spraying the dust suppressant
solution.
Compression
Strength
Figure shows the variation in compression
strength of the sand column sample (Figure a) after spraying the dust suppression solution
(Figure b). Figure b shows that, following
elastic strain and hysteretic elastic deformation, the sand column
sample sprayed with the dust suppression solution reaches the yield
point with increasing displacement. The maximum compressive strength
was 0.33 MPa when the displacement was 2.41 mm. After that the sand
column was broken (as shown in Figure c,d). In a word, the compression experiment showed
that the dust suppressants in this paper have good binding ability
and a consolidation effect to sand and dust and also have some toughness
and impact resistance, which meet the needs of the actual sand fastening
and dust suppression.
Figure 3
(a) Optical image of the sand column sample before it
was pressed.
(b) Variation of compressive strength t of the sand
column sample with displacement. (c) Optical image of the sand column
sample after being pressed. (d) Caking of the sand column sample after
being pressed.
(a) Optical image of the sand column sample before it
was pressed.
(b) Variation of compressive strength t of the sand
column sample with displacement. (c) Optical image of the sand column
sample after being pressed. (d) Caking of the sand column sample after
being pressed.
Performance
of Moisture Absorption and Moisture
Release
After 10 days of continuous measurement, the changes
in the sand mold sample moisture absorption rate of six samples with
time are shown in Figure , including the moisture absorption rate measured at 9 am
and 18 pm It can be seen from Figure the variation trend and range of solution moisture
absorption rate for samples sprayed with dust suppressant are basically
same in five samples. Samples placed under natural conditions do not
contain water, but this rate rose to 0.16% 12 h later, and the maximum
moisture absorption rate of dust samples reached 0.20% on the third
day, but it declined on the fourth day and rose on the fifth day.
Its moisture absorption rate was 0.18% at 9 am on the fifth day. Its
moisture absorption rate has a gentle decrease on both the sixth and
seventh days and decreased to 0.11% on the seventh day. The moisture
absorption rate of the sand mold sample had a gentle increase on the
eighth, ninth, and tenth days, but the moisture absorption rates at
daytime and night had large differences. On the tenth day, the moisture
absorption rate was 0.19% at 9 pm, indicating that the dust suppressant
effect of sand mold samples sprinkled with a dust suppressant mixture
had not deteriorated when the observation period of 10 days ended.
It may still have a hygroscopic function in response to alterations
in air moisture and use hygroscopic agents to control the humidity
of dust mixtures. When the hygroscopic rate of sand mold samples sprinkled
with deionized water was compared to the curve line of the moisture
absorption rate of sand piles sprinkled with the dust suppressant
mixture, it is clear that the moisture absorption rate has improved.
When the suppressant is deployed in the air, it absorbs water and
retains the capacity to moisten dust particles.
Figure 4
Line chart of changes
in sand mold sample moisture absorption rates
with time.
Line chart of changes
in sand mold sample moisture absorption rates
with time.The average values of the moisture
absorption and release rate
of five sand mold samples changed with time, and they could give a
curve line of average value of this rate changing with time, as shown
in Figure by the
combination of temperature and relative humidity changes over 10days. Figure a is a line chart
of the average moisture absorption rate and relative humidity changes
with time of the sand models. It can be seen that the span of relative
humidity range is great over 10 days, ranging from 35% to 70%. The
relative humidity in first to fourth days was around 60% and dropped
to 47% by the fifth evening. The relative humidity continued to fall
steadily in the following 2 days and dropped to 39% by the seventh
evening. The relative humidities in the eighth, ninth, and tenth days
were generally increasing, but there were large differences in the
daytime and at night. For example, the relative humidity between daytime
and night was different in a range of 13% on the eighth day, while
the moisture absorption rate of the sand mold sample in the first
day had a large increase because samples was placed under natural
room conditions after drying to constant weight; thus, its moisture
absorption rate rose greatly after constantly absorbing the water
in air. The relative humidity in the air dropped in the evening of
the first day, and the sand mold sample began to release moisture,
leading to a moisture absorption rate decrease to 0.14% from 0.16%.
In the following days, as the relative humidity in the air became
higher, the sand mold started to be hygroscopic, and its hygroscopic
rate increased; as the relative air humidity decreased and the sand
mold started to release water, its hygroscopic absorption rate decreased.
This indicates that the moisture absorption and release is defined
by a dynamic equilibrium with the air’s relative humidity. Figure b is a line chart
of the average moisture absorption rate and temperature of the sand
models with time. In Figure b, there is a range of environmental temperatures over the
10 days varied from 25 to 30 °C and there was a large difference
in temperatures in the daytime and at night, which are in accordance
with a great variation in sand mold moisture absorption rates in the
daytime and at night. The environmental temperature by the second
evening reached a maximum temperature at 29.4 °C, and then gradually
decrease. The temperature dropped to 24.4 °C by the seventh morning,
and the temperature by the ninth and tenth days rose on the whole
and finally reached 28.5 °C by the tenth evening. Overall, the
change trend of temperature was a process of increase, decrease, and
finally increase, which was in line with the general basic change
trend of the moisture absorption rate of the sand mold sample. However,
the moisture absorption rate in the daytime and at night was in opposition
to the specific temperature. The temperature in the morning was low
but the moisture absorption was high, and the temperature was low
but the moisture absorption was high at night. In general, the environmental
temperature had some effect on the rate of the sample sprinkled with
a dust suppressant mixture, but the relative humidity had a greater
effect on its hygroscopic rate, with the relative humidity increasing
and decreasing to cause moisture absorption and release.
Figure 5
(a) Line chart
of the average moisture absorption rate and relative
humidity of sand models changing with time. (b) Line chart of the
average moisture absorption rate and temperature of sand models changing
with time.
(a) Line chart
of the average moisture absorption rate and relative
humidity of sand models changing with time. (b) Line chart of the
average moisture absorption rate and temperature of sand models changing
with time.
Performance
of Experiment That Is Not Affected
by the Weather
W, which is determined as
the rate of wind erosion to the sand mold, was computed; the results
are shown in Figure . Figure shows that
the wind erosion speed of a deionized-water-sprayed sand mold increases
with an increase in wind speed and also with the blowing duration
for the sand mold sample. After 30 min of blowing at a wind speed
of 14 m/s, the wind erosion rate was 6.07%. However, when a dust suppression
solution was sprayed on the sand mold sample at various wind speeds
and blowing times, the wind erosion rate was essentially zero. After
30 min of blowing in a 7 m/s wind, the the wind erosion speed of a
sample sprinkled with a dust suppressant increased. The increased
mass of the sand mold samples was due to the hygroscopic nature of
the dust suppressant, which absorbed the moisture from the air. This
fully shows that the dust suppressant solution has a strong ability
to resist wind erosion, which satisfies the requirement for a practical
application.
Figure 6
Sand mold wind erosion results.
Sand mold wind erosion results.
Rain Resistance
Figure shows the initial states and
cross sections of sand mold samples in the first to fifth rain resistance
cycles. The weight residue rates of sand mold samples after different
spraying cycles are shown in Figure a. From Figure , we can see that the consolidated sand layer thickness of
the cross section has risen for a well effect to consolidate sand
with an increasing amount of rain resistance. Figure a shows that the sand mold sample lost nearly
50% of its mass after five deionized water spraying cycles. However,
the sand mold sample experienced almost no mass loss after five cycles
of dust suppressant spraying. To sum up, the consolidated layer formed
by the dust suppressant is characterized by a high performance of
water erosion resistance, and this meets the requirements of actual
sand consolidation and dust suppression.
Figure 7
(a–e) Initial
states of sand mold samples before the first
to fifth rain resistance cycles. (f–j) Cross sections of sand
mold samples after the first to fifth rain resistance cycles.
Figure 8
(a) Weight residue rate of sand mold samples after spraying
cycles.
(b) Compressive strength variation of the sand column sample after
freeze–thaw cycles.
(a–e) Initial
states of sand mold samples before the first
to fifth rain resistance cycles. (f–j) Cross sections of sand
mold samples after the first to fifth rain resistance cycles.(a) Weight residue rate of sand mold samples after spraying
cycles.
(b) Compressive strength variation of the sand column sample after
freeze–thaw cycles.
Freezing and Thawing Resistance
Figure b shows the
compressive strength variation of the sand column sample after freeze–thaw
cycles. From Figure b, it can be seen that the compression strength of the sand column
sample decreased from 0.33 to 0.179 MPa after the first freeze–thaw
cycle. This showed that the structure of the dust suppressant was
destroyed to some extent under the huge temperature change. The compressive
strength of sand column sample increased by 0.182 MPa after a second
freeze–thaw cycle and continuously increased by 0.203 MPa after
three freeze–thaw cycles. The reason for the successive slight
increases was that the freeze–thaw cycle allowed the dust suppressant
solution to make the sand bond more tightly; thus, the compressive
strength increased. In the fourth-round process, the compressive intensity
of the sand sample remained unchanged. After the fifth-round process,
the compression intensity decreased by 0.17 MPa, which was consistent
with the general rule for a polymer adhesive material after multiple
freeze–thaw cycles. After a drastic change in temperature,
the compressive strength of the dust suppressants basically remained
stable with good freezing and thawing resistance, which meets the
needs of practical outdoor applications.
Conclusion
A theoretical analysis and laboratory experiments
were used in
this work. The best dust suppressant formula for stockpiles was investigated
using single-condition and orthogonal trials. The ideal dust suppressant
formula’s physicochemical features were determined, and the
dust suppression performance was tested and investigated. The conclusions
are as follows.Through a single-condition experiment,
the most suitable single factors for the hygroscopic agent, selected
surfactant, film-forming agent, and packing were determined. The range
analysis and variance analysis to the orthogonal test were conducted
with the viscosity value and the hardness value of the consolidation
layer as evaluation indexes. Finally, the optimum formulation of the
dust suppressant was obtained by a comprehensive balance method: 0.6%
A + 0.2% B + 0.28% C+ 0.7% D (0.23% D1 + 0.47% D2). In the orthogonal
experiment, 16 solutions and the dust suppressant solution prepared
in the optimum formulation were verified, which brought about a higher
viscosity and stronger hardness of the solidified layer.The formula of the developed dust
suppressant for stockpiles is weakly alkaline, which can neutralize
the dust suppressant when it is sprayed with acid rain, and it is
environmentally friendly. The curing effect on the surface is strong,
which effectively prevents the material loss of the stockpile. The
stockpile dust suppressant not only has high compressive strength
but also has a certain toughness and impact resistance, which can
keep the sand mold sample from being damaged within a certain period
of time. Moreover, the heap has good wind erosion resistance, water
erosion resistance, and freeze–thaw resistance after spraying
dust suppressant.To sum up, the stockpile
dust suppressant developed in this study
is an environmentally friendly polymer chemical dust suppressant,
which has ideal dust suppression performance, can effectively prevent
wind erosion and rain, has good freeze–thaw resistance, can
adapt to the actual use environment of different climates, has a good
dust suppression effect and long retention time, and has broad application
prospects.
Authors: Ami R Zota; Robert Willis; Rebecca Jim; Gary A Norris; James P Shine; Rachelle M Duvall; Laurel A Schaider; John D Spengler Journal: J Air Waste Manag Assoc Date: 2009-11 Impact factor: 2.235