Ibrahim et al.
Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
DOI: 10.24996/ijs.2019.S.I.18
ISSN: 0067-2904
Effects of TEOs aerogel particles size of TEOS aerogel on its mesoporous
structure and thermal behavior via supercritical drying and high
temperature
Ashraf M. Ibrahim1*, Baha T. Chiad2, Wesam A. A. Twej2, Ruaa A. Mohammed1
1
Department of Medical Instruments Techniques and Engineering, AL Hussain University College, Karbala'a,
Iraq
2
Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq
Abstract
TEOS aerogel a is the most commonly used. a Aerogel has attracted increasing
attention from both academic and industries due to its extraordinary performance
and potentials. We have systematically studied the relationship between the
densification temperature of the synthesis environment of silica aerogels on their
resulting morphological, optical and thermal properties. SEM and BET
measurements were employed as structural probes to ascertain the structural
differences. Lee's disc apparatus was used for determining the thermal conductivity
coefficient. There is a systematic correlation between the annealing temperature and
the aerogel surface area, porosity, as well as pore size. The implemented autoclave
was able to produce aerogel monolith of surface area reaching to 998.25 g/m2 and
low electric conductivity arrive to of 1.17*10-4(s/m), associated with density of
0.047 g/cm3.The calculated thermal conductivities were (0.0063, 0.016 and 0.0053
mW m-1 0 C-1) for pH1, pH7 and pH8 samples respectively. The microstructure
observed is categorized into three types, namely, open cellular foam (the substance
that is formed by trapping pockets of gas in solid), fractal (the structural features it's
clearly show the hierarchical repetition) and isotropic morphology (visible spectrum
scale). The aerogel properties were are remarkably varied. While the influence of
annealing temperature the reaction setting has gradually influence on the final
aerogel properties, h However, it is obviously requested for achieving desirable
optically and nano-featured products.
Keywords: Aerogel, BET, Autoclave, transmittance.
تاثير حجم الجديمات على الهيكلية المدامية للهالم الههائي والدلهك الحراري عن طريق التجفيف
فهق الحرج ودرجة الحرارة العالية
1,2
رؤى علي دمحم،2 وسام عبد علي تهيج،2 بهاء طعمة جياد،*1أشرف دمحم العطار
العراق، كربالء، كليت الحسين الجاهعت،قسن هندست تقنياث االجهزة الطبيت1
العراق، بغداد، جاهعت بغداد،كليت العلوم،قسن علوم الفيزياء2
الخالصة
قج اجتحب سميكا الهالم الههائي ( االيخوجل) اهتساما متدايجا باعتبارة االكثخ شعبية بين االوساط االكاديسية
كل ذلك يخجع الى االداء واالمكانيات الغيخ اعتيادية االستثشائية التي يستمكها هحا الشهع من. والرشاعية
حيث درسشا بذكل مشهجي العالقة بين درجة ح اخرة التكثيف في بيئة التهليف الشتاجة عمى خرائص.الدميكا
تم استخجام كل من السدح االلكتخوني السجهخي وذلك. سيميكا االيخوجل التخكيبية والبرخية والح اخرية
____________________________________
*
Email: dr.ashrafibrahim@huciraq.edu.iq
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Ibrahim et al.
Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
كسا تم.االمتراص االمتداز بهاسطة الشتخوجين الدائل كتحقيقات هيكمية لمتاكج من االختالفات التخكيبية
تبين ان هشالك عالقة مشهجية بين كل من.اتدخجام جهاز القخص( لي ) الجل تحجيج معامل السهصمية الح اخرية
حيث تسكن االتهلكيف ( حجخ الزغط) السرشعسن انتاج كتمة متخاصة من.درجة ح اخرة التمجين ومداحة الدطح
-10*1.17 وتهصيمية كهخبائية مشخفزة ترل الى2 م/ غم998825 الهالم الههائي بسداحة سطحية ترل
) السحدهبة عمى التهالي هي18788( كانت التهصيمية الح اخرية لعيشات الخقم الهيجروجي.3سم/ غم4
).1- س1- ممي واط م080053 و08061 و0.0063(
: وهي8تم ترشيف العيشات حدب حدب البشية السجهخية السهضحة الى ثالث انهاع
والكدهرية الهخمية ( وهي8 )ذو الخغهة الخمهية السفتهحة( مادة صمبة تتذكل من خالل احتجاز الجيهب الغازية
من الدسات الهيكمية التي تزهخ بهضهح من خالل التكخار الهخمي ) و التذكيل الستساثل (مقياس الطيف
عمى الخغسسن.) حيث اضهخت نتائج الفحص تشهع ممحهظ في خرائص الهالم الههائي ( االيخوجل.)السخئي
اال انه من الهضح انه. تاثيخ درجةح اخرة التمجين قج اثخت تجريجيا عمى الخرائص الشهائية لمهالم الههائي
.مطمهب وذلك الجل تحقيق مشتج نانهي مخغهب من الشاحية البرخية والشانهية
1. Introduction
The rough last decades noticed development in the technique of the sol-gel that has led to fast
rapid progress in the deliberate synthesis of porous materials. Silica alcogel can be processed by using
different ways to yield aerogels; the approach taken in this work is to produce the silica aerogel was by
the supercritical drying method (SCD) [1, 2].
These types of materials are of immense importance t in different applications like absorption,
sensing, catalyst, etc. Silica aerogel become quite popular among all other materials, It was first silica
aerogel was produced first in the 1930. In the first half of the century (1931, Kistler)[3]. During the
last decade the synthesis of aerogel has received a significant attention because of its possession ing of
a number of unusual physical properties that has attracted the attention of researchers. Aerogel
properties are known to be highly dependent on the initial conditions [4]. Many fascinating properties
found in aerogel, is a nanostructured material and . a According to itstheir structure aerogel have with
specific of has high surface area, very low density, and extremely high porosity. Silica aerogels are
materials with unusual properties such as high specific surface area (500–1200m2/g), high porosity
(80–99.8%), low density (∼0.003 g/cm3), high thermal insulation value (0.005W/mK), ultra-low
dielectric constant (k = 1.0 – 2.0) and low index of refraction (∼1.05) [5-8]. Based on these properties
many different fields of application of silica aerogel have been reported [9, 10]. Thermal treatment is
one of these parameter s that has ve an influence on the structure of aerogel. In this study, silica
aerogel was prepared by used the supercritical drying(SCD) by using CO2 . t This process give has an
advantage of not causingto avoid the capillary stress and the associated drying shrinkage. The
densification process of silica aerogel at high temperature is the last stage of aerogel processes. In
order to interpret the effect of temperature, it is important to study the effect densification of silica
aerogel at various temperatures. Using tetraethylorthosilicate (TEOS) for 1 pH value to measure the
pores size, pore volume and surface area were measured,. also see t The transparency of each sample
at different temperature was alsostudied. In this work, there are four different regions which were
identified from the characterizations of the samples. These R regions are exhibited a structure
densification of bulk at room temperature, 500 0C, 7000C and at 900 0C. These regions of
temperatures show the optical transparency and structures of aerogels samples will be change during
change of temperatures of densification.
Experimental
2.1. Materials
Synthesis of aerogel is used was done using different chemical materials which were,
tetraethylorthosilicate ((TEOS) with > 99.0% purity), spectroscopic grade ethyl alcohol (200 proof >
99.5% purities, N, N, dimethaylformamide ((C3H7NO)> 99.0% purity) deionized water catalyzed by
ammonium fluoride (> 98.0% purity).
2.2. Procedure
The gels of silica were produced t via through a single-step procedure as followsing; : TEOS,
ethanol, water, and hydrochloric acid (volume ratios 2.5:10:2: N) where N was varied to achieve final
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Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
sol of pH1were mixed together. Under magnetic stirring, the sols were heated at 303 K for 30 min.
Then 0.5 ml of C3H7NO, was added ing as a drying control chemical additive (DCCA) and left
stirring for further 1 hour.
The resulted ing give rise to gel is in of 3.2 cm diameter tubes of plastic and aged at temperature
of room for 36 h. In order to get pure ethanol in five 24h, gel be washed to get remove al for any
unreacted monomer from networks.
supercritical drying of the gel was conducted in specially designed reactor capable of withstanding
high pressures at pressure of 1100- 1215 psi and a temperature of 450C for 4 hours. During this
process it is necessary to provide optimum mixing between supercritical CO2 and the solvent that
exists in the pores of the gel. With the end of SCCO2, drying , the densification s at its last stage and
that was made performed with four different temperatures, room temperature, 500 0C, 7000C and
9000C. Camera p Photos of or the implemented autoclave system as well as the aerogel samples that
were prepared under different pH values are presented in Figure-1.
b
a
Figure 1-Camera image forPhotos of (a) Implemented autoclave, (b) some aerogel samples with their
preparation pH1 value.
2.3. Characterization of aerogels.
The pore size allocation, pore volume and specific surface area of aerogel specimens were
determined by Brunauer–Emmitt–Teller (BET) method (micromeritics ASAP 2020).
The morphology and microstructures of silica aerogels specimens were observed by with a scanning
electron microscope y (SEM, ULTRA 60) in secondary electron mode.
UV-VIS spectrophotometer (Ultrospec. 4300 pro) was used in this work to record the
transmittance of the aerogel samples. FT-IR spectrophotometer (Nicolet Is50) was used to collect s
high spectral resolution data for samples of aerogel over the spectral range from 400 cm-1 to 4000 cm1. A.C conductivity device was used for to investigate ing the behavior of conductivity and the
dielectric material of disc aerogel. Measurements were done with, A Hewlett. Packard-R2C unit model
(4275 A), multi frequency LCR meter has been used to measure the capacitance (C) and resistance (R)
with frequency range between 100Hz-100kHz.
By weighing cylindrical uniform aerogel samples of precise dimensions, the apparent densities
were calculated. The dried aerogels were then annealed by heating with to different temperatures at a
rate of 60 °C /h-1.
3.Results
3.1. Surface area and pore size measurements
Various catalyst systems were characterized by BET nitrogen adsorption-desorption, used to obtain
pore volumes and surface areas of the silica aerogel. Utilizing BET analysis method was used to found
find the pore volume using a single condensation point (P/Po = 0.99) and while five points (0.05
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Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
<P/Po < 0.35) were undertaken to obtain surface areas. The desorption isotherm method was used to
calculate pore size distribution. Nitrogen adsorption surface areas were iterative on the same
specimens and were found to not deviate no deviation from the previous measurementswas found
except from more than the expected error of the tests (± 5%), indicating that the small-scale structure
does not collapse as a result of canicular pressure from the nitrogen.
The linear isotherm plots for the aerogel samples prepared at several densification temperatures (nondensification, 500 0C, 700 0C, 900 0C) at final pH= 1Ph 1 value are presented in Figure-2, which
shows T the effect of temperature on the each of surface area, pore size, and pore volume are
displayed in Figure-2. In general, the surface area of silica aerogels increases as temperature of
densification increases, as shown that in Table-1 that demonstrates the variation of pore volume and
size with final temperature of densification of preparation at PhpH=1 value.
Figure 2-Linear isotherm plots for aerogel prepared at initial Ph=1 with different temperatures of
densification.
Table-1summarized t The nitrogen sorption measurements for the silica aerogel prepared under pH =1
value with non-densification and at 5000C, 700 0C and 900 0C of densification temperatures.
Temp
(0C)
Surface area (m2/g)
Pore volume (cm3/g)
Pore size (Å)
BET
Single
BJH
ADS
BJH
DES
Single
BJH
ADS
BJH DES
Single
BJH
ADS
BJH
DES
Nondens
279.27
268.24
250.69
257.27
0.58
0.99
1.00
83.13
158.56
156.62
500
531.28
511.95
523.17
557.14
1.62
2.55
2.54
12.19
19.54
18.29
700
998.25
934 .18
1011.09
1105.61
1. 93
1.79
1.82
7.771
7.101
6.593
900
282.75
254 .59
322.83
356.27
1. 01
0.97
0.98
14.272
12.126
11.055
The influence of the densification temperatures of at pH=1 value on the surface area, pore size &
and volume are is clear through the Table-1). The Table-1 show It elucidates d the distinction of pore
volume and pore size for final densification temperatures at pH=1 value. Without densification
yielding maximum pore size, lowest pore volume and surface area were obtained, while the
densification of aerogel under 700 0C yields ing product of the minimum pore size,but highest pore
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Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
volume and surface area pore volume and surface area highest,. i On the other hand the 500 0C results
are in between the previous results is the moderate between of both.
In other hand, t The influence of densification on the densities of aerogel bulks is summarized in
the Table-2.
Density₯
(g/
Temp 0C
Mass (gm)
Radius (cm)
High (cm)
cm3)
Non-dens
0.2381
2.7
0.75
0.055
500
0.2243
2.7
0.75
0.052
700
0.2169
2.7
0.75
0.050
900
0.2021
2.7
0.75
0.047
Table -shows the m Mass, radius, thickness and density values for aerogel bulk samples before and
after densification at three different temperatures.
Through the step of densification, it is observed that there are varied differences in the density of
these samples regarding to their temperatures of densification.
3.2. Morphology.
Figure-3 shows the SEM images of aerogel samples with pH=1 value with non-densification and
with densification temperatures of at 500 0C, 700 0C and 900 0C. The at images show that the
samples of aerogel have different network structures related to the densification temperatures. The
morphology of these samples is classified into three distinct categories. It The morphology of the four
samples can be grouped into three distinct categories, fractal (M1), isotropic (M2), and open cellular
foam (M3).
The non-densification and 500 0C specimens has two too similar microstructures that are easily
manifested to be fractal in ease. The microstructure at of the 700 0C sample shows ultrafine nanoscale
structure at the nanoscale, but it is fairly isotropic at the 10 and 300 nm scale. At 900 0C, the
microstructure of aerogel sample shows the open cellular foam structure.
Non-dens
500 0C
M1
M1
700 0C
900 0C
M2
M3
Figure 3-SEM images for of aerogel specimens prepared of pH=1, at different densification
temperatures.
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3.3. UV-VIS spectroscopy
Figure-4 resents the transmittance of aerogel samples as a function of wavelength at final
preparation of pH=1 value at different densification temperatures. Interestingly, non-densification and
at 900 0C aerogel samples exhibit minimum transmittance in the entire VIS region, whereas at 700 0C
sample show higher transmittance at higher wavelength, and but at 500 0C the sample of aerogel has
have intermediate values.
Figure 4-Transmittance spectra for aerogel samples at different densification temperatures.
3.4 FT-IR spectroscopy
The recorded IR transmitted spectra for the prepared aerogel specimens are shown in Figure-5.
Several absorption bands are marking pointed out in these spectra due to their interesting importance
in our study.
FTIR transmission spectra for aerogel sample pH=1 at three different annealing temperatures; 500
°C, 700 °C and 900 °C is are shown in Figure-5.
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Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
Non densification
Figure 5-FTIR transmission spectra for aerogel sample pH=1 at three different annealing temperatures
500 °C, 700 °C and 900 °C.
3.5 Thermal conductivity
Thermic conductivity tests for the aerogel samples were carried out via the by Lee’s Disc
technique of aerogel samples. The heat transfers between an aerogel bulk and its surroundings depend
on the exposed surface area of aerogel specimens and temperature divergence between the bulk
aerogel and its surroundings.
To characterize thermal conductivity of the aerogel samples ,chose three samples were chosen at
different pH values, acidic pH=1, natural pH=7 and basic environment pH=8 samples. Figure-6)
present cluster columns of thermal conductivity for aerogel selected samples. The calculated thermal
conductivities were (0.0063, 0.016 and 0.0053 mW m-1 0 C-1) for pH=1, pH=7 and pH=8 samples,
respectively (as shown in Figure-6).
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Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
Figure 6-columns images thermal conductivity of aerogel specimens prepared with pH=1, pH= 7 and
Ph= 8 solutions
Figure-7 demonstrates the behavior matching between silica aerogel thermal conductivity, density and
reveres matching with porosity.
Figure 7-porosity,density and thermal conductivity variation according to preparation at pH =values 4.
4. Discussion
In t This work we focused, in our examination, on four samples which can were represented
without densification and with densification at 500 0C, 700 0C and 900 0C, respectively.
The linear isotherm plots (which are presented in Figure-2 can be examined with the aid of the
IUPAC classification hysteresis loops [11]. The plots of samples of pH=1, at 700 0C and 900 0C that
shown in Figure-2 it are classified ying as H3 type (slit-shaped pores) which is concerning indicates to
non-rigid aggregates of plate-like particles. The plots belonging to pH=1, without densification and at
densification temperature 500 0C Figure-2 that can be categorized as H1 type, which shows that pore
channels have well-defined cylindrical shape. Except at 500 0C densification temperature of aerogel
sample, low densification temperature and high densification temperature behaviour showing through
two branches of the linear isotherm plot. approximately at 700 0C, at 900 0C, to be exact silica has its
isoelectric point (IEP). At the IEP, the reaction rate for condensation is at a minimum; hence the water
condensation mechanism becomes favourable [12].
This status might be giving give rise to less branchy networks and command to large pore sizes,
resulting in a sufficient adsorption quantity at high relative pressure.
Belong to At pH=1 and the densification temperature control, therefore, strongly affect the
resulting microstructure, and will allow for the surveillance of microstructure-dictated properties.
Aerogel transmittance spectra, in the entire VIS region of pH=1at different temperature of
densification, samples are shown in Figure-4. It is clear that sample the non- densification sample
exhibit minimum transmittance whereas pH=1 aerogel samples at 500 0C and at 900 0C show a
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Iraqi Journal of Science, 2019, Special Issue, pp: 119-128
moderated value and while the sample at 700 0C demonstrates the highest r transmittance. Highly
transparent aerogels are normally prepared using a two-step method [13,14]. With this work, a single
step process was utilized in preparing ed the specimens utilizing process of a single step in order to
minimize the number of synthesis factors and therefore better establish the effect of annealing on the
resulting aerogels is better established.
Subsequently, all specimens are made solely of silica, therefore, the structure of silica aero-gel
network is the individual factor and that will be giving rise for any difference in the transmittance (Fig.
(4)). The variation of refractive index of silica network and pore material may be a reasonable source
of light scattering, where pores work as the scattering centers. The specimens transmittance values of
the specimens at each densification temperature are were normalized through the total transmittance
for of that sample. Since the light absorption coefficient of light by silica in the visible region is small,
the attenuation of light should result from is due to scattering from the aerogel structure [15]. When
the in homogeneities inhomogeneities of the aerogel network are smaller than the visible light
wavelengths, nearly isotropic light (Rayleigh) scattering is expected. The resulting microstructure
would be M2, from the three canonical structures (M1-M3) identified in Figure-3.The presence of
microstructural elements that are on the order of the optical wavelengths, such as those found in the
M1 microstructure, because of Mie scattering. The short-range fractal structures and the strongly
localized vibrations of that structure also contribute significantly to scattering; the fractal structures
scatter significantly as shown in the work by of Alexander [16]. The maximum of this scattering was
shown to occur when the wavelength is close to the size of the fraction. The M1 microstructure from
shown in F fig. (3) is of this type typifies this fractal microstructure and.It is observed in the aerogel
samples non-densification and at 500 0C and non-densification. The recorded IR transmitted spectra
for the prepared aerogel samples are shown in Fig. (3). Several absorption bands are marked ing out in
these spectra due to their interesting importance in our study. There are T two vibrational bands of
aerogel silica that appeare appears d in the region of the FTIR spectrum of fingerprint, strong centered
at around 460 cm-1, and strong and broad at 1104 cm-1that are. These corresponds ing to the bending
and to the asymmetric stretching vibrations of (Si―O―Si) groups, respectively, w While the
symmetric stretching characteristic silica band is weak and has appeared at 812 cm-1¬ [17].
Medium and broad O–H vibrations at 3,500 cm-1and small sharp at 1,650 cm1 indicate the presence
of residual free OH groups (or adsorbed) within the aerogel [18].
FTIR spectra for aerogel sample pH=1 at four different annealing temperatures; 500 °C, 700 °C and
900 °C are presented in fig. (5). The weak band peak fixed at 965 cm−1 may be ascribed to stretching
vibration of silanol (Si―OH) groups [19].
Monotonically the intensity of this peak start to decrease ing when the annealing temperature starts
ed to increase of annealing temperature. This may be due to the completing of the condensation
reaction with temperature yielding more and more conversion of silanol bonds to siloxan bonds
(Si―O―Si) [19].
Figure-6 shows the thermal conductivity for silica aerogel at different pH. It is obviously clear that
the average thermal conductivity of aerogel samples is well below that for of still air (0.024 mWm-1
0
C-1). The increase ing in of solid components will decreases the thermal conductivity; therefore, low
porosity as well as low density materials are always qualified as low thermal conductivity materials.
Supercritical dried aerogels are usually characterized by their high porosity, low density. Therefore,
Figure-7 that shows that thermal conductivity of silica aerogels can be governed through controlling
their densities or porosities.
This may be due to the thermal insulation tendency of this material; therefore, it would not allow any
transferring of thermal energy as a result of temperature gradient,. as As a consequence, heat is
transferred by phonons (lattice vibration waves) which are unable to vibrate due to thermal energy.
Where When silica aerogel has three dimensional networks that make solids consist of very small
particles linked in the aerogel network in three dimensional with many ''dead ends''. Therefore, the
thermal transp transport arent through the solid portion of silica aerogel occurs through tortuous path
and it is not particularly effective, leading to the low thermal conductivity in such type of materials.
In addition, the porous are not closed of the sample but open that will cause to the allow gas to pass
age through and that is another reason for the low lowering the conductivity.
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5. Conclusions
This work We demonstrated the a systematic correlation between the effect of annealing
temperature and the resulting microstructure and optical properties of silica aerogels. Homemade
simple designed autoclave can offer a Aerogel samples of proper physical properties were prepared
using a homemade simple designed autoclave. The temperature densification influence on the aerogel
produced yielding highly transparence lower density crackly monolith. At 700 0C yielded ing the best
surface area, pore size, smaller particle size and pore volume, . w While maximum temperature of
annealing gave ive the lowest density through the evaporation ed of all the liquid inside the pores
which with changed in the optical and structural properties of aerogel. Therefore, several applications;
low densities thermal insulator, optical window, small-pore hydrogen storage tanks etc., could be
functionally through adjusting starting catalyst in addition to the effect temperature as the function of
last step to produce the aerogel
Acknowledgements
We would like to acknowledge the National Science Foundation Nanostructured Materials for
Energy Storage and Conversion (NESAC) IGERT program for traineeship support under Award
Number 1069138. In addition, we thank the Iraqi Ministry of Higher Education and Scientific
Research for their generous support.
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