Abstract
A finite element analysis model was employed to analyze the heat conduction behavior of glass fiber/metal (stainless steel, aluminum, or oxygen-free copper) composite materials under a constant thermal load of 100°C on the metal surface, i.e., the temperature distribution after reaching thermal equilibrium. By comparing and analyzing the effects of different metal materials, different air convection heat transfer capabilities, and different metal phase thicknesses, the heat transfer mechanism is elaborated. The results indicate that the metal with stronger heat conduction capacity induces more uniform temperature distribution, while the temperature uniformity on the fiber is relatively worse. Besides, with the increase of the air convection heat transfer coefficient, the temperature on the fiber phase shows a significant downward trend, however, the impact on the metal phase remains limited. In addition, the metal thickness primarily affects the weight or rigidity of the composite material, with minimal impact on temperature distribution.
1 Introduction
It is well known that metal materials are often used in engineering structural components that require high rigidity and strength. Generally, these metals serve as the framework materials, providing the entire structure with high strength and fracture toughness, allowing it to meet various working condition demands, thus leading to their widespread applications [1,2,3,4]. However, it is important to note that since metal materials are typically good conductors of heat, when exposed to high-temperature conditions and subjected to external thermal loads for extended periods, heat tends to be efficiently conducted within the structure. This results in high surface temperatures, which can negatively affect the temperature comfort and operability of the structural component [5,6,7]. To reduce the surface temperature of structural components to a suitable range, one or more layers of materials with lower thermal conductivity can be bonded to the surface of the metal material, forming a composite material that can be used in high-temperature environments [8,9,10,11]. Compared to metals, glass fiber has a much lower thermal conductivity, typically only a few hundredths of that of metals, which can effectively lower the surface temperature of structural components to a suitable range, thereby benefiting engineering applications [12].
In this study, finite element analysis (FEA) was used to conduct a steady-state thermal analysis of glass fiber/metal (stainless steel, aluminum or oxygen-free copper) composites under a constant metal-phase temperature of 100°C. The analysis explained the temperature distribution after the system reaches thermal equilibrium. Additionally, by comparing the effects of different metal materials, thermal convection conditions, and material thicknesses on temperature distribution, the study discussed the performance of such composite materials as thermal insulators, providing reference and guidance for the optimal design of high-temperature-resistant structural components.
2 Materials, FEA model, and theory
2.1 Materials
This work studies the composite material composed of glass fiber and metal (stainless steel, aluminum, or oxygen-free copper). The properties of these materials are listed in Table 1. The 3D structure of the composite is shown in Figure 1. The size of metal phase is 22.5 × 300 × 5 mm3, and the size of glass fiber assembly phase is 37.5 × 300 × 5 mm3.
Properties of the materials
Material | Density/g cm−3 | Elastic modulus/GPa | Poisson’s ratio | Thermal conductivity/W m⁻1°C⁻1 |
---|---|---|---|---|
Glass fiber | 2.50 | 70.00 | 0.20 | 1.26 |
Steel | 7.80 | 200.00 | 0.30 | 60.5 |
Aluminum | 2.7 | 70 | 0.33 | 207 |
Oxygen-free copper | 8.9 | 122.08 | 0.343 | 391 |

Structure of the 3D model.
2.2 FEA model
FEA model of the metal/glass fiber composite material under constant thermal load conditions was created using ANSYS Workbench, as shown in Figure 2. ANSYS is a powerful commercial FEA software. It has a strong ability to conduct effective analysis for various physical fields and excels in thermal analysis. This software can accurately simulate the heat transfer modes such as heat conduction, heat convection and heat radiation of the analysis objects, and predict indicators such as the temperature distribution and heat release situation of the object under various working conditions. This helps to discover potential problems in advance, and then through optimized design, ensure the reliable working performance of materials or structural components, it is widely used in many fields such as aerospace and automobile manufacturing.

FEA model.
As indicated in Figures 1 and 2, in this model, a constant heat source with a temperature of 100°C is applied to the free side of the metal phase, while the free side of the glass fiber assembly is exposed to air at the room temperature of 25°C, involving the convective heat transfer. Heat will be conducted from the metal phase to the fiber assembly phase and then be carried away by air thermal convection. Regarding the contact property between the two phases, the “bonded” setting is used to ensure good thermal conductivity at the interface.
For this model, the meshing size is set to 5 mm, with a total of 520 elements, and the type used is hexahedral.
2.3 Heat transfer theory
As mentioned above, in the system, heat conduction and heat convection are mainly involved, while the influence of heat radiation is ignored. Therefore, the theoretical explanations of heat conduction and heat convection are given.
2.3.1 Thermal conduction
Heat conduction can be defined as the exchange of internal energy between two objects in complete contact or between different parts of an object due to a temperature gradient. Heat conduction follows Fourier’s law [13]:
where q″ is the heat flow density (W m−2), k is the coefficient of thermal conductivity (W m−1 °C−1), and “–” indicates that the heat flows in the direction of decreasing temperature.
2.3.2 Thermal convection
Thermal convection refers to the exchange of heat caused by the temperature difference between the surface of a solid and the fluid in contact with it. It can be divided into two categories: natural convection and forced convection. Thermal convection is described by the Newton’s law of cooling equation [14]:
where h is the convective heat transfer coefficient (W m−2 °C−1), T S is the solid surface temperature (°C), and T B is the temperature of the surrounding fluid (°C).
Natural convective heat transfer, in this issue, occurs between the free side of glass fiber assembly and air. The magnitude of the air convection heat transfer coefficient mainly depends on the flow velocity of the air medium. The air convection heat transfer coefficient has been calculated according to the following equations below [15,16,17]:
where Re is the Reynolds number, Pr is the Prandtl number, and N u is the Nusselt number. Besides, ρ, v, μ, and C p are the density (kg m−3), velocity (m s−1), viscosity (Pa s), and specific heat (J kg−1 °C−1) of the air, respectively. And L is the feature length (m).
3 Results and discussions
3.1 Influence of metal material type
To investigate the impact of different metal materials on thermal conductivity, Figure 3 presents the temperature distributions for different composites, i.e., glass fiber/structural steel, glass fiber/aluminum, and glass fiber/oxygen-free copper. Specifically, Figure 4 provides the quantitative analysis curves reflecting the temperature distribution characteristics within the materials (from the heat source side a to the heat dissipation side b). Herein, it should be noted that considering that the applied metal material and glass fiber are both isotropic materials, line a–b connecting the middle positions of the two phases is taken as a representative for illustration. The temperature distribution on any line parallel to line a–b is consistent with it.

Temperature distributions of different metal/fiber composites: (a) glass fiber/structural steel, (b) glass fiber/aluminum, (c) glass fiber/oxygen-free copper.

Temperature variation curve along the path a–b within the material: (a) location of path a–b, and (b) temperature variation curve.
It can be observed that the higher thermal conductivity of the metal material results in a more uniform temperature distribution on the metal phase when reaching thermal equilibrium. Since a higher thermal conductivity means faster heat transfer and smaller temperature differences between different parts of the metal, the resulting temperature distribution is more uniform. On the contrary, due to the low thermal conductivity of glass fiber assembly, heat is less able to spread effectively within the fiber phase. As a result, even temperature at the “metal–glass fiber” interface is relatively high, the temperature uniformity on the fiber phase remains relatively poor.
3.2 Influence of convective heat transfer coefficient
To investigate the impact of the convective heat transfer coefficient on the thermal conductivity of composite materials, the cases for the glass fiber/structural steel composite are selected and analyzed. Figure 5 presents the temperature distributions when the convective heat transfer coefficients are 12, 25, and 40 W m−2 °C−1, respectively. Similarly, Figure 6 provides the quantitative analysis reflecting the temperature distribution characteristics within the material (from the heat source surface a to the heat dissipation surface b).

Temperature distributions of glass fiber/stainless steel composite with different convective heat transfer coefficients: (a) 12 W m−2 °C−1, (b) 25 W m−2 °C−1, and (c) 40 W m−2 °C−1.

Temperature variation curve along path a–b inside the glass fiber/stainless steel composite under different convective heat transfer coefficients.
It can be seen that the convective heat transfer is located on the surface of the fiber assembly. It significantly influences the temperature of the fiber component. As the convective heat transfer coefficient increases, indicating enhanced heat dissipation capability, the temperature of the fiber phase shows a significant downward trend. Quantitatively, when the convective heat transfer coefficient increases from 12 to 25 W m−2 °C−1, representing 2.083 times increase in convective heat transfer capability, the temperature on the convective heat transfer surface decreases by 15.136%. As the coefficient increases from 25 to 40 W m−2 °C−1, representing 1.6 times increase in convective heat transfer capability, the temperature on the convective heat transfer surface decreases by 12.817%.
Nevertheless, the increase in convective heat transfer capability mainly affects the temperature drop in the fiber phase, with only a limited impact on the temperature of the metal phase. This phenomenon is clearly visible in Figure 6. The reason is that the continuous heat load on the metal, coupled with the high thermal conductivity of the metal, allows its internal temperature to remain around 100°C, making it less susceptible to the temperature changes in the fiber component, which has much lower thermal conductivity. In addition, this factor is also the reason why all three curves show a slow decline first and then a significant downward trend.
3.3 Influence of metal thickness on temperature distribution
In some cases, the composite material also needs to have properties such as high rigidity and weight to meet the requirements of overall strength and structural stability under specific working conditions. Generally, it can be achieved by increasing the volume of the metal phase. In this case, it is achieved by increasing the metal thickness. To investigate the impact of metal component thickness on the thermal conductivity of composite materials, the cases of the glass fiber/structural steel composite are analyzed. Figure 7 presents the temperature distributions for structural steel with thicknesses of 20, 22.5, and 25 mm, respectively. Similarly, Figure 8 provides the quantitative analysis reflecting the temperature distribution characteristics (from the heat source surface a to the heat dissipation surface b).

Temperature distributions of glass fiber/structural steel composites under different structural steel thicknesses: (a) 20 mm, (b) 22.5 mm, and (c) 25 mm.

Temperature variation curve along path a–b inside the composite with different structural steel thicknesses.
It can be seen that thickness of the structural steel increases, the heat transfer path becomes longer, resulting in a decrease in the initial temperature at the “structural steel–glass fiber” interface, which in turn leads to the corresponding decrease in the temperature at the “glass fiber-convective heat transfer” surface. Quantitatively, when the thickness of the structural steel increases from 20 to 22.5 mm, representing 1.125 times increase in weight, the temperature at the “glass fiber-convective heat transfer” surface decreases by 0.025% only. Besides, when the thickness of the structural steel increases from 22.5 to 25 mm, representing 1.11 times increase in weight, the temperature at the “glass fiber-convective heat transfer” surface decreases by 0.0248% only.
This indicates that the thickness of the metal phase primarily affects the weight or rigidity of the composite material and has minimal impact on the temperature distribution.
4 Conclusions
In this study, the heat conduction behavior of glass fiber/metal (stainless steel, aluminum, or oxygen-free copper) composites under a steady 100°C surface temperature was analyzed through FEA. The temperature distribution reaching thermal equilibrium status was examined. Additionally, by conducting a comparative analysis of the effects of different metal materials, varying air convective heat transfer capabilities, and different metal phase thicknesses, the heat transfer mechanisms were elucidated. The following conclusions were drawn:
The higher thermal conductivity of the metal material leads to a more uniform temperature distribution in the metal phase at thermal equilibrium. However, due to the low thermal conductivity of glass fiber assembly, heat diffusion within the fiber phase is limited, resulting in relatively poor temperature uniformity in the fiber phase.
As the air convective heat transfer coefficient increases, indicating enhanced heat dissipation capability, the temperature of the fiber phase shows a significant downward trend. However, the increase in air convective heat transfer capability mainly affects the temperature drop in the fiber phase, with only a limited impact on the temperature of the metal phase.
The thickness of the metal phase primarily affects the weight or rigidity of the composite material, with minimal impact on the temperature distribution.
Acknowledgements:
The authors acknowledge the financial supports from Qinglan Project (Jiangsu Teacher 2024 No. 14 and 2022 No. 29), the Excellent Scientific and Technological Innovation Team (Jiangsu Teaching and Research 2023 No. 3), and the Brand Major of International Talents Training (Jiangsu International Cooperation and Exchange, 2022 No. 12) of Jiangsu Provincial Department of Education.
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Funding information: This work was financially supported by the Natural Science Foundation (No. YCBK2023019) of Yancheng. The authors also acknowledge the financial supports from the Major Program of the Natural Science Foundation (No. 24KJA540005) of Jiangsu Higher Education Institutions and the Visiting Scholar Research Program (2024 No. 4) of Jiangsu Teachers Training Center of Higher Vocational Education.
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Author contributions: Conceptualization, Ke Wang, Ting Zhu and Limin Jin; methodology, Ke Wang, Ting Zhu and Limin Jin; analysis of data/investigation, Qian Ma, Ting Zhu and Shudong Wang; writing–original draft preparation, Ke Wang and Ting Zhu; writing–review and editing, Hongtao Zhou and Jumei Zhao; project administration, Ke Wang, Qian Ma and Shudong Wang; funding acquisition, Ke Wang, Shudong Wang, Hongtao Zhou and Jumei Zhao.
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Conflict of interest: Authors state no conflict of interest.
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Ethical approval: The conducted research is not related to either human or animal use.
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Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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