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Article

Preparation and Characterization of New Electrically Conductive Composites Based on Expanded Graphite with Potential Use as Remote Environmental Detectors

1
Department of Chemical and Process Engineering, University of Strathclyde, 75 Montrose Street, Glasgow G1 1XJ, UK
2
QAPCO Polymer Chair Center for Advanced Materials, Qatar University, Doha 2713, Qatar
3
Polymer Institute, Slovak academy of Sciences, Dúbravská cesta 9, 84541 Bratislava, Slovakia
*
Author to whom correspondence should be addressed.
Processes 2020, 8(9), 1176; https://doi.org/10.3390/pr8091176
Submission received: 3 August 2020 / Revised: 7 September 2020 / Accepted: 15 September 2020 / Published: 17 September 2020
(This article belongs to the Section Materials Processes)

Abstract

:
The presented paper is focused on studying electrically conductive composites based on an elastomeric matrix and expanded graphite as the filler. A potential application as an environmental remote detector was studied. The influence of filler particle size, film thickness, detector length, temperature, and the amount of oil on the detector response rate were explored. Peel tests were performed in order to investigate the adhesion of prepared detector films to different materials. Expanded graphite with average particle size 5 µm was chosen for the experiments due to its fastest response. Decreasing the detector film thickness has caused an increase in the response rate but also a decrease in the signal measured. The response rate of the detector system was in a practical range even for lower temperatures. From the obtained data, the proposed detector seems to be suitable for a practical application.

Graphical Abstract

1. Introduction

Water contamination by crude oil and petroleum products is becoming an increasing environmental problem [1,2,3]. Even though there have been methods developed that help with oil removal from spillages, such as chemical dispersion [4,5], we still need to know that oil contamination has happened in order to start the clean-up process. For that reason, a notable effort has been put into the development of sensing systems capable of detecting these organic pollutants. One group of sensors and detectors that are currently in use are systems capable of detecting the pollution remotely. The equipment can be mounted e.g., on a drone, plane, or a satellite. Most commonly used techniques for remote pollution detection utilize optical image analysis and electromagnetic radiation from the microwave to ultraviolet range [6,7,8]. Disadvantages of the aforementioned methods include high costs and reduced efficiency for wide area surveillance due to limited coverage. However, more types of systems are being developed for sensors and detectors located in the place of contamination. These can be based on different materials and working principles such as for a flowing set-up, capacitance sensors [9,10,11] can be used using a measurement frequency high enough to obtain the required sensitivity and a recent system employing a photo-ionization detector [12], suitable for mid to high concentrations. However, these are generally suitable for systems with higher oil–water ratio flowing through a pipe. The majority of oil contamination occurs in oceans and seas, so a variety of systems applicable on bodies of water have been studied and developed. One kind of such sensors uses fluorescent spectroscopy as the oil sensing technology [13,14], where the sample has to be collected and analyzed in a laboratory. An interesting approach proposed a so-called spilled oil tracking autonomous buoy, the task of which includes drifting along with the oil slick and sending meteorological and oceanographic data from its surroundings to a land base in real time [15].
A number of sensors and detectors based on a polymeric matrix and an electrically conductive filler are used as vapor sensors as well. The working principle of such systems is based on swelling of the polymeric matrix in presence of a model substance [16,17,18,19]. The same mechanism can also work for some elastomers/rubbers that swell in oil. Even though this is a negative effect for a rubber seal, it can be exploited for monitoring electric current changes.
This paper presents preparation and study of a novel type of environmental detector based on an elastomeric matrix and expanded graphite, suitable for detection of water contamination caused by petroleum and its constituents and derivatives. Other research groups have previously used a model mixture of benzene, toluene, ethylbenzene, and xylene isomers [20,21] and our group previously utilized vegetable oil [22] in order to test the performance of a detector system. In this work, a commercial engine oil is used as a representative of a real pollutant. The effect of different detector film lengths was studied, since longer films might be required due to the presence of waves. Furthermore, the influence of temperature on detector performance within a temperature range that covers cold nights and hot days was investigated here.

2. Materials and Methods

2.1. Materials

A linear triblock styrene-isoprene-styrene (SIS) copolymer Kraton D1165 P (Kraton Corporation, Houston, TX, USA) was used as the elastomeric matrix. Expanded graphites with average particle size 5 µm (GFG 5), 50 µm (GFG 50), 200 µm (GFG 200), and 500 µm (GFG 500), used as fillers, were purchased from SGL CARBON GmbH (Wiesbaden, Germany). Following materials were used as peel test substrates: polyethylene terephthalate foil Tenolan OAN (Fatra, a.s., Chropyně, Czech Republic), polyvinyl chloride powder Slovinyl E 711 (Fortischem a. s., Nováky, Slovakia), polyamide 6 foil Zellamid® 202 (Zell-Metall GmbH Engineering Plastics, Kaprun, Austria), biaxially oriented polypropylene foil Tatrafan ON (Terichem a. s., Svit, Slovakia), low-density branched polyethylene foil Bralen FB 2-17 (Slovnaft a. s., Bratislava, Slovakia), and aluminum foil (EKOMT s.r.o, Čadca, Slovakia). In order to connect a detector film to a DC power source and a multimeter, an electrically conductive adhesive GRAVIPOL-electro made in-house at Polymer Institute SAS (Bratislava, Slovakia) was used. Toluene (Mikrochem s.r.o., Pezinok, Slovakia) was used as a solvent for the polymer matrix. An engine oil Madit Super SAE 10W-40 (Slovnaft, a.s., Bratislava, Slovakia) was used as a model substance to test the response of prepared detectors.

2.2. Methods

2.2.1. Polymer Composite Preparation

Polymer composite films were prepared using solvent casting technique. All the prepared samples contained 20 w/w % of filler/matrix. For the detector films, 5 g of polymer was left to swell in 5 mL of toluene overnight. A mixture of 1 g expanded graphite, used as a filler, and 20 mL toluene was ultrasonicated for 15 min using an ultrasonic device Hielscher 400S with a probe Sonotrode H7, both supplied by Hielscher Ultrasonics (Teltow, Germany). A water bath containing ice was used to keep the mixture temperature down during the sonication, in order to avoid solution overheating. The toluene mixture containing a dispersed filler was mixed with the swollen polymer and put on a magnetic stirrer for the polymer to dissolve, while slightly heated. The surface of polyethylene terephthalate (PET) foils was cleaned with toluene and a paper towel in order to remove any dirt and grease, and each foil was attached to a horizontally aligned table. After the polymer was completely dissolved, a sufficient amount of the mixture was poured on the PET foil. A film applicator was used to ensure a uniform thickness of the prepared film. A picture of the used film applicator is shown in Figure 1. Prepared films were first left to dry at ambient temperature and subsequently transferred to a vacuum drying oven preheated to 60 °C. The samples were left to dry in the oven under a vacuum until the next day.

2.2.2. Composite Film Thickness Measurements

The thickness of the prepared composite films was determined using an optical digital microscope from Shenzhen Hong Feng Sheng Electronic Technology Co., Ltd. (Shenzhen, China). The microscope was calibrated prior to measurements and the detector film thickness was measured using a 500× magnification. Each sample thickness was measured at six different locations and the final thickness was calculated as the average along with its standard deviation.

2.2.3. Detector Response Measurements

First, a 1 cm wide strip was cut from the films prepared in the previous step. In order to connect the samples to a DC power supply and a multimeter, a copper wire was glued to the surface using an electrically conductive adhesive Electropol (Polymer Institute, Slovak Academy of Sciences, http://www.polymer.sav.sk/gravipol/). The distance between the copper wire contacts was kept at 3 cm unless stated otherwise. The voltage at the DC power supply Protek DC 3006 (Protek Test and Measurement, Allendale, NJ, USA) was set to 10 V. A multimeter APPA305 (APPA Technology Corp., New Taipei, Taiwan) was connected to a computer and was used to measure the electric current flowing through the samples. The sample strips connected in this fashion were subsequently used for measuring their response rate as detectors. Commercially available engine oil Madit Super SAE 10W-40 was used as the testing substance. A schematic of the experimental set-up is shown in Figure 2.

2.2.4. Peel Test Sample Preparation

The samples used for peel tests were prepared in a similar way as the detector samples. The materials used as studied surfaces were polyethylene terephthalate (PET), polyvinyl chloride (PVC), polyamide 6 (PA6), biaxially oriented polypropylene (BOPP), aluminum (Al), and low-density polyethylene (LDPE). The surface materials were used as received, except for PVC films, which were prepared by solution casting on degreased glass panes from a tetrahydrofuran (THF) solution. A mixture of ultrasonicated filler GFG5, toluene, and pre-swollen polymer was prepared in the same way as for the composite films for detector samples, as described above. The studied surface materials were fixed on a horizontally aligned table and their surface was cleaned using toluene. Afterwards, a film of the composite mixture was spread on the surface using the film applicator with the largest wet film thickness (0.24 mm). This step was repeated two more times after leaving each layer to dry, in order to create thicker films. These air-dried samples were put into a vacuum oven preheated to 60 °C and dried under vacuum until the next day. The dried films were cut into 1.5 cm wide strips. In order to be able to peel off the composite layer from the studied surface, a PVC veneer was adhered to the film using a compression mold press heated to 60 °C with a 30 kN force applied for 30 s. The samples prepared in this way were used for the peel test measurements.

2.2.5. Peel Tests

The samples were prepared as described in the previous section. The PVC veneer was attached to the bottom fixture wheel and the tested material was fixed in the top clamp, as shown in Figure 3. In the case of PA6, the arrangement was changed due to a higher stiffness of PA6 than PVC veneer, so in this case, the PVC veneer was held in top clamps and PA6 was fixed on the wheel.
The bottom part for fixing the sample is a wheel, which is free to rotate and ensures a constant 90° peeling angle. The width of all the used sample strips was 1.5 cm and the test speed was set to 10 mm/min. At least six samples were analyzed for each material and an average value was calculated from these results.

3. Results and Discussion

In this section, the obtained results will be shown and discussed along with their significance. The presented experimental section is based on our previous research [23]. Initially, we studied the influence of the filler particle size in order to select the optimal filler for the subsequent experiments. The effect of composite film thickness was then examined and the optimal value is discussed. The next section focuses on the investigation of the detector length effect as longer detectors may be required in real life applications rather than small-scale laboratory samples, due to the potential presence of waves at the water surface of lakes or seas. The following parameter analyzed was the temperature of the set-up. Afterwards, we considered if the amount of oil has an effect on the response rate. In the last section, peel tests were performed to ensure that the prepared composite films exhibit sufficient adhesion to different surfaces that could serve as base materials.
The response of the detectors is measured in this work as the time-dependent decrease of electric current passing through the sample. In order to compare different samples in a better way, a parameter t1/2 is introduced, defined as the time required for the current to drop to half of its initial value. We have also compiled data concerning initial values of the current flowing through the samples, I0. These two parameters aid in optimizing the detector performance, aiming for fast response rate, by minimizing the value of t1/2, while maintaining sufficiently high value of initial electric current, distinguishable from noise. Previous (unpublished) long-time tests in pure and salt water have confirmed that there is no effect on conductivity of the tested polymer composites because of the presence of water, with or without salt. Therefore, this suggests that all impacts described below are the result of interactions of oil with prepared polymer composite detectors.

3.1. Particle Size

The samples for determining the effect of filler particle size on the response rate of the detectors contained expanded graphites GFG 5, GFG 50, GFG 200, and GFG 500, where the numbers indicate the average size of the filler particles in micrometers. The samples were prepared using the film applicator with 0.24 mm wet film thickness. Obtained results comparing the effect of different filler particle sizes are shown in Figure 4. The error bars around the curves indicate the standard deviations of the measurements.
From the graph in Figure 4, it is evident that the films containing the smallest filler particle size exhibited the fastest decrease of current when exposed to oil. The signal decrease to 50% for this sample (GFG 5) occurs after around 3 min, which is two times faster than for the largest particle size (GFG 500). This could be explained by better distribution of smaller particles than the larger ones [24,25,26]. All of the measured data exhibit a sigmoid shape of the curve with a fast decrease of the electric current in the initial part, followed by a slower decrease in an exponential decay pattern.
From the obtained data, the dependence of the parameter t1/2 and the initial current flowing through the samples I0 on the filler particle size were analyzed (Figure 5).
From the graph in Figure 5, it is apparent that with increasing the filler particle size up to 200 µm, the response rate of the detector film decreases. For the fillers GFG 5, GFG 50, and GFG 200, the value of the initial current rises with increasing particle size, though the value for GFG 500 is somewhere between the values for GFG 50 and GFG 200. This could be explained by a different distribution of filler particles within the elastomeric matrix. A similar effect was observed by Kratochvila [27], where the effect was described by a higher tendency of the filler to create aggregates. The results for smaller particles are also in accordance with other studies [28,29,30], which proposed a higher probability to form a conductive network with smaller particles rather than with larger ones.
Concluding from the obtained information, the GFG 5 filler was chosen for all subsequent experiments due to its fastest response. Even though the initial current value was the lowest one, it was still a practically measurable value.

3.2. Film Thickness

The composite film thickness was observed to have a significant influence on the detector performance. For this purpose, samples with varying thickness were prepared, namely using the film applicator gap sizes 0.09, 0.12, 0.15, 0.18, 0.21, and 0.24 mm. Using an optical microscope, the real thickness of the prepared dried films was determined. The acquired values of measured film thickness with their respective gap sizes are summarized in Table 1. All values of the dried film thickness are equal to 17.5 ± 1.0% of the respective film applicator gap.
As expected, increasing the detector film thickness led to an increase in the response time. While the sample prepared with the highest thickness required approximately 3 min for the electric current to drop to half of its initial value, the t1/2 for the thinnest sample was as low as 5 s. This represents a very fast response compared to the current analytical methods used for the determination of oil pollutants in water [21].
Similarly, as for the filler particle size samples, the dependence of the parameter t1/2 and I0 on the thickness of the film was plotted and the results are summarized in Figure 6.
Analyzing the data in Figure 6 confirmed that the values of the parameter t1/2 and I0 increase with increasing film thickness. For both data series, linear fits were performed and the equations along with the corresponding coefficients of determination R2 are shown in Figure 6. Both parameters, t1/2 and I0, are both crucial for a practical application and therefore, it is necessary to find an optimal value of film thickness that leads to an optimal ratio of these attributes. Additionally, it is essential to mention that with increasing film thickness, the standard deviation of the measurements increased as well. The electric current increased with rising film thickness due to an increase in the detector cross-sectional area. Likewise, an increase in the detector response time, and thus t1/2, can be explained by increasing volume of the composite film swollen by the oil. The balance between these two parameters would ensure a sufficiently fast response of the detector along with a high enough value of the electric current, overcoming the signal noise influence.

3.3. Detector Length

As discussed above, since longer detectors than the ones used in the previous sections (3 cm) may be required in practice, due to the presence of waves on the surface of lakes, rivers, and seas, detectors with different distances between the contacts were prepared. The wet film thickness and the filler content were fixed at 0.24 mm and 20 w/w %, respectively. The only parameter varied in this section was the aforementioned contact distance. The lengths studied here were 3, 9, 30, and 90 cm.
From Figure 7, it can be seen that for the detectors with length 3, 9, and 30 cm the parameter t1/2 increases with the increasing detector length. However, the longest detector, with the contacts 90 cm apart, exhibited an even lower value of t1/2 than the value observed for the shortest detector. This can be explained by the lowest value of the initial current measured for the longest sample.
It is indeed confirmed that the current flowing through the longest sample is the lowest one. There is a noticeable correlation of the I0 data with a fitted exponential decay function, as can be seen in Figure 7. The results for films with length up to 30 cm suggest that with increasing the detector length, its response time rises. However, since the flowing current gradually decreases with increasing detector length, the low value of current for the detector with length 90 cm eventually takes over and the drop in electric current is, therefore, faster.
From a practical point of view, there should be an optimal length where the current value is high enough for the measurement but its lower value leads to a faster response time. In order to implement longer detectors, some other parameter would have to be modified, such as increase in the filler content or in the film layer thickness.

3.4. Temperature

In real-life outdoor applications, the temperature of the surroundings can vary in a relatively broad range (from lower temperatures during winter to higher temperatures during summer) and quite often (during day and night). Therefore, the influence of temperature on the detectors was explored. The lower temperature limit was set to 5 °C, and was limited by the freezing point of water, and the upper limit of 35 °C was chosen as the temperature above an open body of water is unlikely to go much higher. The effect of temperature on the parameter t1/2 is presented in Figure 8. The samples were prepared using the film applicator with 0.24 mm wet film thickness.
Plotting the data, a gradual decrease of the parameter t1/2 with temperature can be observed. While it took around 10 min for the current to reach half of its initial value for the detector at 5 °C, at 35 °C it took only around 2 min. At lower temperatures, the oil viscosity is higher the diffusion processes are slower, leading to the slower response of the detector at lower temperatures. Nevertheless, the value of 10 min is still acceptable for real time sensing.
This suggests that the proposed detector system is applicable in a broad enough temperature range for real life applications. However, at lower temperatures, a slower response has to be taken into account.

3.5. Amount of Oil

The last influence on the response rate of the prepared detector system studied was the amount of oil present. It is important to know if the investigated system is sensitive to a change in the amount of oil present and if it could be used to repeatedly determine the scale of contamination, as a sensor, or if it is independent on the amount of oil and thus could be used only as an indicator of the presence of oil, as a detector. For this purpose, samples were prepared using the 0.24 mm gap of the film applicator. A 5 mL graduated cylinder was used as the vessel for water due to its small cross-sectional area.
Again, a dependence of the parameter t1/2 was plotted against the amount of oil to explore any trends present. Looking at the data plotted in Figure 9, it is confirmed that there is no link observed between the amount of oil and the response time of the detector. The difference in response time for the lowest and the highest amount of oil, which differ by two orders of magnitude, is negligible compared to differences caused by different composite film thicknesses. However, it is worth noting that this system was able to detect amounts of oil as low as 0.01 mL, which corresponds to a layer of oil slick less than 1 mm thick, thus, making it a sensitive detector even though it cannot provide the information about the scale of contamination.
The values of response rate are comparable to response rates of other sensors that were previously reported for the vapor phase [17,18,31].

3.6. Peel Tests

In practical applications, it is very likely that the proposed detector film would be attached to a surface of a buoy or a boat. The surface of such objects can be made from various materials and therefore, the adhesion of the prepared composite film to various surfaces was studied, namely polyvinyl chloride (PVC), polyamide 6 (PA6), biaxially oriented polypropylene (BOPP), aluminum foil (Al), polyethylene terephthalate (PET), and low-density polyethylene (LDPE). Acquired values of peel force are shown in Figure 10.
The results in Figure 10 show relatively high values of peel force, indicating good adhesion between the composite layer and the different polymer materials. It is important to note that for BOPP, the value would be even higher because the composite was peeling off from the PVC veneer rather than the BOPP surface. Therefore, the force holding the composite layer to the BOPP surface was even higher than the value measured in the experiment. The highest value obtained, corresponding to BOPP, was almost 0.34 N∙mm−1. Still, significantly high values were achieved for PVC and Al surfaces as well. Somewhat lower values were observed for PET and PA6 and the lowest peel force was found for LDPE, being one order of magnitude lower than the value for BOPP.
In order to put the obtained results into perspective, the values were compared to results reported for other materials. Kim et al. obtained maximum adhesion around 0.49 N∙mm−1 for chromium/copper films on a silicon substrate and around 0.69 N∙mm−1 for polyamic acid on a copper foil [32]. Kinloch et al. studied polyethylene adhered to the surface of a PET substrate using an adhesive and achieved a maximum adhesion value around 0.038 N∙mm−1 [33]. Poh with his team investigated adhesion of filled epoxidized natural rubber on a PET substrate. For samples filled with calcium carbonate, the highest adhesion values were around 0.045 N∙mm−1 [34] and for rubber filled with coumarone-indene resin, the values were reported around 0.025 N∙mm−1 [35]. From these results, we conclude that the composite film proposed here exhibited sufficiently high adhesion to the studied materials. The selected surfaces represent materials that could be used for a buoy surface, the surface of a boat or a ship hull, with the detector most likely placed at the waterline. Hence, a solution of the matrix and the filler could be used as a coating that could subsequently serve as the detector after drying.

4. Conclusions

  • The influence of the filler particle size was studied with the best performance observed for the detector system with the smallest particle size.
  • Investigating samples with different film thickness, ranging from 16 to 39 μm, showed that increasing the layer thickness led to a decrease in the detector response rate. However, the electric current drops with decreasing detector thickness, and for thinner samples, the electric current was significantly influenced by the presence of noise. Therefore, it is necessary, for practical applications, to find an optimal balance between the value of the electric current and the detector response rate.
  • For real life applications, longer detectors, comparable to water waves, might be required. Hence, detectors with different lengths were prepared and tested. It was observed that increasing the detector length until 30 cm caused the response rate to decrease. The longest sample exhibited the fastest response; however, this was caused by the lowest electric conductivity of this sample. So, for the use of longer detectors, some other parameter would have to be adjusted in order for the detector to work as desired. This could be done by e.g., increasing the filler content or increasing the layer thickness.
  • The influence of temperature on the detector performance was also investigated. It was found that the response time of the detector linearly decreased with increasing temperature. The time required for the electric current to drop to half of its initial value ranged from 2 min at 35 °C up to 10 min at 5 °C. We conclude that the proposed detector is suitable for the whole measured temperature range. However, at lower temperatures, a slower response has to be considered.
  • Unfortunately, the tested polymer composite was not sensitive to different oil amounts and so it is suitable only for detecting the presence of contamination, not its scale. The lowest detected amount of oil was as low as 0.01 mL droplet on the surface of water.
  • It was shown that the detector layer adheres to all selected surfaces with sufficient strength, allowing potential application to various surfaces, depending on the actual use.

Author Contributions

Methodology, I.K.; investigation, M.P.; writing—original draft preparation, Z.Š.; supervision, I.K. and Z.Š.; project administration, Z.Š.; All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Vedecká Grantová Agentúra MŠVVaŠ SR a SAV (VEGA 2/0051/20).

Acknowledgments

The authors want to thank Roland Mittelhammer from SGL Carbom to provide a sample of expanded graphite.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The film applicator used for making thin composite films.
Figure 1. The film applicator used for making thin composite films.
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Figure 2. A schematic of the detector response rate measurement set up, (a) deionized water, (b) sample strip on polyethylene terephthalate (PET) foil, (c) DC power supply and multimeter connected to the sample with copper wires, (d) oil droplet on water surface.
Figure 2. A schematic of the detector response rate measurement set up, (a) deionized water, (b) sample strip on polyethylene terephthalate (PET) foil, (c) DC power supply and multimeter connected to the sample with copper wires, (d) oil droplet on water surface.
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Figure 3. Schematic of the peel test set-up: (a) top clamp, (b) polymer composite sample, (c) polyvinyl chloride (PVC) veneer, (d) bottom wheel fixture.
Figure 3. Schematic of the peel test set-up: (a) top clamp, (b) polymer composite sample, (c) polyvinyl chloride (PVC) veneer, (d) bottom wheel fixture.
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Figure 4. Change of relative current I/I0 with time t for different filler particle sizes with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
Figure 4. Change of relative current I/I0 with time t for different filler particle sizes with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
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Figure 5. Dependence of the parameter t1/2 and the initial current value I0 on the filler particle size (axis in logarithmic scale) with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
Figure 5. Dependence of the parameter t1/2 and the initial current value I0 on the filler particle size (axis in logarithmic scale) with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
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Figure 6. Dependence of the parameter t1/2 and the initial value of current I0 on film thickness with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
Figure 6. Dependence of the parameter t1/2 and the initial value of current I0 on film thickness with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
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Figure 7. Dependence of the parameter t1/2 and the value I0 on the contact distance along with a power function fit for I0 data for contact distances 3, 9, 30, and 90 cm with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
Figure 7. Dependence of the parameter t1/2 and the value I0 on the contact distance along with a power function fit for I0 data for contact distances 3, 9, 30, and 90 cm with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
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Figure 8. Dependence of the parameter t1/2 on temperature with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
Figure 8. Dependence of the parameter t1/2 on temperature with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
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Figure 9. Dependence of the parameter t1/2 on the amount of oil present with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
Figure 9. Dependence of the parameter t1/2 on the amount of oil present with data points corresponding to mean values and their standard deviation values (error bars) from three experiments.
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Figure 10. Peel test results for measured surfaces with peel force/width as the studied quantity with standard deviation values (error bars) from three experiments.
Figure 10. Peel test results for measured surfaces with peel force/width as the studied quantity with standard deviation values (error bars) from three experiments.
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Table 1. Film applicator gap sizes with the corresponding real film thicknesses.
Table 1. Film applicator gap sizes with the corresponding real film thicknesses.
Film Applicator Gap [mm]Film Thickness [mm]Standard Deviation of Film Thickness [mm]
0.090.0160.002
0.120.0220.003
0.150.0280.004
0.180.0300.003
0.210.0370.002
0.240.0390.004

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Prostredný, M.; Krupa, I.; Špitalský, Z. Preparation and Characterization of New Electrically Conductive Composites Based on Expanded Graphite with Potential Use as Remote Environmental Detectors. Processes 2020, 8, 1176. https://doi.org/10.3390/pr8091176

AMA Style

Prostredný M, Krupa I, Špitalský Z. Preparation and Characterization of New Electrically Conductive Composites Based on Expanded Graphite with Potential Use as Remote Environmental Detectors. Processes. 2020; 8(9):1176. https://doi.org/10.3390/pr8091176

Chicago/Turabian Style

Prostredný, Martin, Igor Krupa, and Zdenko Špitalský. 2020. "Preparation and Characterization of New Electrically Conductive Composites Based on Expanded Graphite with Potential Use as Remote Environmental Detectors" Processes 8, no. 9: 1176. https://doi.org/10.3390/pr8091176

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