Advances in Materials Science and Engineering

Advances in Materials Science and Engineering / 2019 / Article

Research Article | Open Access

Volume 2019 |Article ID 9421289 | 9 pages |

Composite Materials Based on Henequen Fiber as a Thermal Barrier in the Automotive Sector

Academic Editor: Gang Zhang
Received05 Feb 2019
Revised06 Mar 2019
Accepted10 Mar 2019
Published14 Jul 2019


Currently, the automotive industry has made great advances in the incorporation of materials such as carbon fiber in high-performance cars. One of the main problems of these vehicles is warming, which is generated inside due to the heat transfer produced by solar radiation falling on the car, mainly on the roof. This research proposes the preparation of a composite material containing henequen natural fiber as a thermal barrier to be used as the roof of the car. In this research, 35 different laminates of 5 layers were prepared, combining carbon fiber, henequen natural fiber, fiberglass, and additives such as resin + Al2O3 or resin + Al. Reference samples were taken from stainless steel and one reference sample was extracted from the roof of the car. Considering the solar radiation and the heat transfer mechanisms, the temperature of the surface exposed to solar radiation was determined. The thermal conductivity of the 37 samples was determined, and the experimental results showed that the thermal conductivity of the steel with which the roof of the car is manufactured was 13.43 W·m−1·K−1 and that of the proposed laminate was 5.22 W·m−1·K−1, achieving a decrease in the thermal conductivity by 61.13%. Using the temperature and thermal conductivity data, the simulation (ANSYS) of the thermal system was performed. The results showed that the temperature inside the car with the carbon steel, which is currently used to manufacture high-performance cars, would be 62.34°C, whereas that inside the car with the proposed laminate would be 44.96°C, achieving a thermal barrier that allows a temperature difference of 17.38°C.

1. Introduction

The current technological breakthrough in many areas of research and industry has opened the need to look for new materials that have greater benefits than the materials that are commonly used in different applications. In this context, researchers from all over the world have innovated different material systems. Composites being one of the most prominent material systems. These composites are made of two or more constituents [1], bringing as a consequence that each composite offers unique advantages by complementing each constituent with another.

For example, the incorporation of polymeric resins, metals, or metal oxides into matrices based on carbon fiber, fiberglass, and even natural fibers has advantages in hardness, tensile strength, modulus of elasticity, and other mechanical properties. In addition, other properties can be decreased and/or improved such as thermal conductivity, the coefficient of thermal expansion, the coefficient of friction, wear resistance, corrosion, and fatigue resistance [2, 3].

Currently, in the automotive and aeronautical industries, thermomechanical properties have acquired great importance due to the different components used in these systems. In this sense, composites based on graphene, carbon fiber, fiberglass, and natural fibers have explored new applications in these two areas ranging from the manufacture of parts that constitute the external or internal structure of automobiles and aircraft and the electronic application that helps to protect and, at the same time, dissipate the heat [411].

Carbon fiber is considered one of the coal-based materials with excellent mechanical properties and chemical stability. Normally, this material contains 92 wt.% of carbon in each of its fibers [12]. These fibers offer very good mechanical and physical properties [1316], for example, high tension (2–7 GPa) by having a remarkable Young modulus (200–900 GPa), low density (1.75–2.20 g·cm−3), low thermal expansion, and excellent electrical conductivity and thermal conductivity (800 W m−1·K−1) [8, 1721]. In addition, carbon fiber is not only four times lighter than steel but also stronger than steel [22]. All these characteristics are the main reason that carbon fiber is used to develop lightweight composites for structural applications in the automotive and aeronautical areas [2327].

On the contrary, fiberglass has been widely used and studied for a long time as a matrix in the manufacture of composites. One of its main advantages is the cost due to the high demand for use.

It has not been the same case for the use of natural fibers in the formation of composites, since this case is relatively new and is still being explored by researchers in the area. However, the purpose of adding natural fibers in the formation of composites has been quite attractive because it offers properties such as lightness, biodegradability [28], high strength [29, 30], high wear [31], thermal properties [3234], good corrosion resistance [35], and low coefficient of friction [36] mainly for aerospace or automotive applications [3745]. In this context, one of the natural fibers that have attracted the most attention in the formation of composites is the henequen Agave fourcroydes (sisal, Agave sisalana) fiber, due to the added reinforcement in the mechanical and biodegradability properties. Values of Young’s modulus and tensile strength have been reported between 9.4 and 22 GPa and between 468 and 640 MPa, respectively, for this henequen fiber [46].

The thermomechanical properties of fiber-based composites (carbon, glass, or natural fiber) depend in large part on the properties of the polymer matrices used in their construction, the properties of the constituent additives added (metals, metal oxides, or others), and the interaction between the polymer matrix, the added constituents, and the fibers used [4749].

In this work, the thermal properties of the composites formed by carbon fiber, glass fiber, and natural henequen fiber reinforced with a polymer matrix, aluminum, and alumina (Al2O3) have been investigated. Under this context, studies showed that the addition of aluminum [25, 50] and alumina particles in carbon fiber-based composites changes the thermomechanical properties [4].

2. Materials and Methods

2.1. Manufacture of Laminates

Laminates of five layers, with dimensions of 0.05 × 0.05 m, were prepared by the following methodology. First, a mixture of monomer (REM-001) and catalyst (HY-956) was prepared in a 4 : 1 ratio. Subsequently, with the same 4 : 1 ratio of weight, to the obtained mixture of monomer and catalyst, Al (Golden bell, aluminum 99.6%, PM 26.98, Code 27945) or Al2O3 (Repasack, ground calcined alumina, 55 × 58 + 13) was added. Finally, this mixture of monomer + catalyst + Al or Al2O3 was used to cover the surface of each sheet used in the formation of the laminate. On the contrary, the sheets used were carbon fiber (CF), glass fiber (GF), and natural henequen fiber (NHF), as shown in Table 1.




Only resinCFCFCFCFCF25

2.2. Morphological Characterization

For morphological characterization, scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) were used for the determination of elements, and their percentage in weight was determined by using a Hitachi SU3500 scanning electron microscope.

2.3. Thermal Tests

For the thermal tests carried out on each laminate, the surface was standardized with a layer of insulating tape to standardize the emissivity of the surface (37 samples were coated). In these tests, the thermography was performed in 10 s periods for 120 s, using an infrared camera FLIR-E6. The thermal analysis to determine the surface temperature of each laminate was through an average of 9 points visualized in the thermography and 4 points on the hot surface in which the laminate was located. The hot surface was generated by an aluminum block, 0.14 × 0.14 × 0.015 m, in which the power of flat resistance was 80 W, and was embedded, maintaining the temperature of this surface at 80°C by using a temperature controller (STC-1000). The hot surface was also covered with an insulating tape for uniforming the emissivity of the surface with laminate.

The solar radiation and the ambient temperature were recorded through the weather station, number 29 (20°22′06.1″N 100°00′34.2″W), located in San Juan del Río, Querétaro, Mexico, on May 31, 2018.

A sheet of austenitic stainless steel SAE-304 (sample 36) and one sheet extracted from a roof (sample 37) of a car were used as a reference. The thermal conductivity of the 37 samples was calculated using the conduction heat transfer equation, steady state, and unidirectional flow, considering a heat flux of 80 W, which was the power of the heating thermal resistance. A thickness of 0.0041 m was used for samples from 1 to 36, and a thickness of 0.00125 was used for sample 37.

In order to know the temperatures of the hot surface of each laminate, thermographies were made in these surfaces.

2.4. Simulation

In the present investigation, ANSYS workbench was used in “Steady-State Thermal” module to quantify the thermal behavior of the system.

The thermal behavior is analyzed by conservation of energy (from the first law of thermodynamics for a control volume) applied to this system as well as any system with heat transfer or energy exchange. The element equation for the analysis [51] is as follows:where is the thermal conductivity matrix, is the column vector of nodal temperatures, and is the column vector of nodal heat fluxes. The complete system is represented in Figure 1(a). The surfaces considered to have the greatest interaction in heat transfer are those shown in Figure 1(b). In the systems to be evaluated, two materials are built: The first one is shown in Figure 1(b), which is representative of the laminate constructed with CF or GF or NHF, and its input variable for the simulation was the thermal conductivity obtained experimentally. The second is the air that surrounds the laminate, and its thermal conductivity was obtained from the ANSYS database. Finally, in Figure 1(c), the meshing of the system is shown considering a body sizing of 8 × 10−2 m for the bonnet, roof, and both rear doors, 6 × 10−2 m for both front doors and boot, and 7 × 10−2 m for air.

3. Results and Discussion

The solar radiation was 981 W·m−2 at an ambient temperature of 32.2°C, which is relatively high. The surface temperature of the car increases due to solar radiation, and the temperature was particularly high considering that May 31, 2018, was one of the hottest days. Then, the main heat transfer is by convection, considering steady state, unidirectional flow, and a convective constant of air of 20.5 W·m−2·K−1. So, on the basis of these data, the theoretical temperature on the surface was 80°C.

For the determination of the thermal behavior of the laminates, each laminate was exposed to the hot surface (80°C, the theoretical value of the surface), on the back part of the laminate, and the temperature values of the upper part of the surface are shown in Figure 2. Figure 2(a) shows the results of the thermal behavior for the laminates described in Section 2, with all the possible combinations of laminates (Table 1). It was considered that the heat transfer of the experiment was by conduction. Figure 2(b) shows the thermal behavior, considering all laminates manufactured with CF, NHF, and the reference laminates (samples 36 and 37). The highest heat transfer was found in samples 1, 25, and 14, which were laminates manufactured only with CF. The highest thermal resistance that was the objective of the investigation was present in samples 15, 27, and 28 that did not contain additives (Al2O3 or Al). The additive Al2O3 increases the thermal conductivity more than the Al, as with sample 1 (containing Al2O3) a temperature of 70.04°C and with sample 14 (containing Al) a temperature of 69.4°C were recorded. By grouping the results of the CF, NHF, and GF laminates (Figure 2(c)), the one with the highest thermal resistance is sample 34, which contains laminated GF at the ends. Again, the observed phenomenon was that the Al2O3 additive improved thermal conductivity. Figure 2(d) is for CF and GF laminates, where the highest thermal resistance was for sample 6, which contained three layers of CF and two layers of GF.

Figure 2(e) shows the thermal behavior considering that all the laminates contained the additive Al2O3. The results show that the greater the number of CF layers, the greater the thermal conductivity (sample 1) and that the best thermal barrier is the combination of sample 13 that contains CF, GF, and NHF. Now, grouping the laminates containing Al (Figure 2(f)) confirms that the highest thermal conductivity occurs in laminates containing CF (sample 14) and the highest thermal resistance occurs with CF, GF, and NHF laminates (sample 24). Considering the laminates that were embedded only in the resin (Figure 2(g)), the highest thermal resistance is present in sample 28. If the materials that exceed the thermal conductivity of stainless steel are considered (Figure 2(h)), the laminate of sample 1 would be indicated to simulate. The best laminates that behave as a thermal barrier, taken as reference sample 36 (Figure 2(i)), were samples 28, 27, and 34. Sample 34 contains glass fibers, and then it would be advisable not to consider this as a more ecological laminate than that containing only CF and NHF. The results of the thermal conductivity are shown in Table 2, which correspond to the laminates that are considered as thermal barriers shown in Figure 2(i).



Better thermal barrier.

The simulated temperature profiles are shown in Figure 3, considering the conductivity results for samples 5, 17, 28, 31, 36, and 37, with the results of the average temperature on the upper surface, given each sample at 120 s.

In the processing of data for decision making, there are simulation tools that are very important to use, before building a final prototype. Sample 37 recorded an experimental temperature average of 73.92°C at 120 s (Figure 2), and the results of the simulation (Figure 3(a)) show a temperature of 73.87°C, close to the experimental value. For samples 36, 17, 31, 5, and 28, the experimental temperatures were 66.73°C, 63.20°C, 61.02°C, 59.20°C, and 51.79°C (Figure 2), respectively. The temperatures obtained in the simulation were 67.12°C, 63.66°C, 61.22°C, 59.37°C, and 51.53°C, respectively. Also, the values for the simulations were very close to those of the experimental ones. Considering the material from which the roof of a car is manufactured, the internal temperature would be 62.34°C (Figure 3(a)). If the material used was stainless steel (sample 36), the air inside the car would be 57.09°C (Figure 3(b)). The temperature decreases to 54.40°C (Figure 3(c)), when using NHF/CF/NHF/CF/NHF mixed with Al due to the insertion of the NHF. In the case of having a laminate of GF/CF/GF/CF/GF, the temperature was 52.51°C (Figure 3(d)) by the insertion of the GF. Then, having an additive of Al2O3 in a CF/CF/GF/CF/CF laminate allows having a temperature of 51.06°C (Figure 3(e)). Finally, the best thermal barrier was the laminate built with NHF/CF/NHF/CF/NHF (Figure 3(f)), registering an operating temperature of 44.96°C due to the NHF; that is, it allows generating a temperature difference of 17.37°C inside the car.

The morphology of the materials used is shown in Figure 4(a), where the best thermal barrier was obtained with sample 28 that was formed with NHF/CF/NHF/CF/NHF, as shown in Figure 4(b). The evaluation of morphology was made using scanning electron microscopy as shown in Figure 4(c). The three white parts (edges and center) are NHF, and the dark part in the center of the NHF is the CF, which are homogeneously integrated into a piece. Increasing the magnification to 300x, the NHF is shown in Figure 4(d), and the results of the elemental composition were obtained by energy-dispersive X-ray spectroscopy (EDS). The NHF has an elongated laminar morphology, similar to the CF shown in Figure 4(e). The lamination of the roof was formed by Fe (87.28 wt.%) and C (12.72 wt.%).

4. Conclusions

The interesting finding is that the carbon fiber laminates either combined with resin + Al2O3, resin + Al, or only resin always remain above sample 36, highlighting the property of thermal conductivity of carbon fiber. On the contrary, as regards the thermal behavior of the GF, it was observed that a third of the nine laminates have better thermal behavior than sample 36. Therefore, in this case, GF did not act as a thermal barrier in this composite. It can be seen that, of the three laminates with higher thermal conductivity, only sample 36 (CF/GF/CF/GF/CF) was combined with resin. The results show that including the additive (resin + Al or resin + Al2O3) did not contribute significantly to the thermal conductivity of the material.

The thermal barrier obtained was made with NHF/CF/NHF/CF/NHF (sample 28), which only added resin, and presented an experimental thermal conductivity of 5.22 W·m−1·K−1. This is 61.13% lower than the conductivity of the material with which the roof of a car is formed (sample 37). Thus, the material that provides the characteristic thermal barrier was the NHF.

The simulation of the process of heat transfer allows deducing that, if the roof of a car is manufactured with the proposed compound (sample 28), there would be a decrease in temperature from 62.34°C to 44.24°C. This implies that the proposed compound significantly lowers the internal temperature of the car by 29.03%. This temperature difference could have an effect on fuel savings by lowering the use of air conditioning for a shorter period to keep a comfortable temperature since the heat to be removed would be 29.03% lower.

In general, the current manufacturing process of a car roof is through a hydraulic process and high precision molds. However, the composite material manufacturing process, that is, proposed in this research, requires less economic and energy investments.

Data Availability

No data were used to support this study.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.


The authors thank Iván Josue Valencia Gómez, José Carlos Ramírez Baltazar, and Francisco Javier Cruz Pérez for technical support. The authors thank CONACYT for financial support through “Cátedra CONACyT” project (513) and FOMIX project (279788).


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