1. Introduction
The characteristics of viscoelasticity and inner damping for rubber make it a promising material for noise reduction [
1], which can obtain excellent sound insulation and vibration attenuation, simultaneously [
2]. Meanwhile, it has the advantages of possessing a light weight, fine machinability, outstanding physical and mechanical performances, a small occurred space, can facilitate construction, and so on [
3,
4]. Thus, rubber products have been widely utilized for sound insulation in the fields of communications and in the transportation industry (such as high speed rail, massive ships, passenger planes and vehicles), the construction industry, electrical equipment, industrial buildings, hospitals, educational institutions, guesthouses, and so on [
5,
6,
7,
8]. This makes it a focus of research in the domain of polymeric material and has attracted enthusiastic research interests all over the world. For example, the crumb rubber asphalt mixtures had been utilized to gain newly laid low-noise pavements [
9,
10,
11,
12], which could reduce the generated noise in urban traffic.
In order to further improve the sound insulation property of the rubber products, some functional reinforced fillers are added to develop the composite rubber by the mechanical or solution blending methods [
13,
14], and the normal utilized fillers include the metallic hollow sphere [
15], ultrafine metal powder [
16], kenaf and calcium carbonate [
17], micro CaCO
3 and hollow glass microspheres (HGM) [
18], Eichhornia crassipes fiber (ECF) and maleates of Eichhornia crassipes fiber (MoECF) [
19], recycled fir sawdust [
20], etc. The polyurethane/316L stainless steel hollow spheres and silicone rubber/316L stainless steel hollow sphere composites had been prepared by Yu et al. [
15] using the casting method, which proved that the different proportions of free volume in the polyurethane and silicone rubber matrix was a major reason for the significant differences in their sound absorption properties. Hu et al. [
16] proved that the microcellular foaming material exhibited the best performance of sound insulation with the superfine metal powder content in matrix 30 wt%. The rubber composites as sound insulators were prepared by Suhawati et al. [
17] through the incorporation of two types of fillers, namely kenaf and calcium carbonate, in blends of 50 mole% epoxidized natural rubber and methyl methacrylate–grafted natural rubber latex. It had been proved by Fang et al. [
18] that, compared to the pure polymer sample, both the CaCO
3 and HGM–filled thermoplastic elastomer composites exhibited greatly enhanced the soundproofing efficiency, which increased the sound transmission loss (STL) value from the original 29 dB to 45 dB. El–Wakil et al. [
19] proved that the styrene–butadiene rubber composite with 10 phr of MoECF had sound absorption amplitude equal to 0.9 at the frequency of 400 Hz, and the sound absorption performance improved in low–frequency regions below 500 Hz by increasing the thickness to 2.3 mm. The mixing rigid polyurethane foam (RPUF)/flexible polyurethane foam (FPUF) with 0, 35, 40, 45, and 50 wt% fir sawdust was prepared by Tiuc et al. [
20], and the obtained composite materials containing 50% sawdust had superior acoustic properties compared to those with 100% FPUF in the frequency range of 420–1250 Hz. Meanwhile, graphene nanoplatelet [
21], organoclay montmorillonite [
21], glass fiber [
22], magnetite and barite minerals [
23] have also been utilized as functional reinforced fillers, all of which aim to further improve the sound insulation performance of the rubber products.
Among these functional reinforced fillers [
15,
16,
17,
18,
19,
20,
21,
22,
23], the HGM is a novel hollow spherical particle, which has the advantages of light weight, low density, excellent heat insulation performance, high pressure resistance, outstanding fire–resistant insulation property, and the fine sound insulation capacity, which is considered as a potential functional material for the fields of construction, transportation, machinery, aerospace, military, etc. [
24,
25,
26,
27,
28,
29,
30]. Du and He [
24] reviewed the progress made in synthesis and applications of the spherical silica micro/nanomaterials with multilevel (hierarchical) structures, which might enable them to be used in the broad and promising applications as ideal scaffolds (carriers) for biological, medical, and catalytic applications. An overview of the fabrication techniques of bulk and hollow microspheres was provided by Righini [
25], as well as of the excellent results made possible by the peculiar properties of microspheres. To take advantage of both the low density and thermal conductivity of HGM, and the high mechanical and electrical conductivity of the carbon–based nanofiller, micro– and nanosized filler were combined into a single composite material by Herrera–Ramirez et al. [
26]. An and Zhang [
27] fabricated the core/shell structured glass/Ni–P/Co–Fe–P composite hollow microspheres by a three–step route, which showed their promising applications in the fields of low–density magnetic materials, conduction, and catalysis, etc. Cho et al. [
28] had modelled the elastoplastic deformation behaviors of HGM/iron syntactic foam under tension by using a representative volume element (RVE) approach, which exhibited the potential for applications in the design of composites with a high modulus matrix and high strength reinforcement. Composite foamy structures were prepared by An and Zhang [
29] through the HGM-assisted bubbling of silicone rubber with ammonium hydrogen carbonate as a blowing agent, and the proposed composite foamy structures improved the heat insulation and sound absorbing properties.
In order to improve the research efficiency and reduce the experiment cost, the acoustic finite element simulation has been widely utilized in the field of sound insulation and noise reduction [
30,
31,
32,
33,
34,
35,
36,
37,
38,
39]. Okuzono et al. [
30] applied the finite element method using hexahedral 27-node spline acoustic elements with low numerical dispersion for the room acoustics simulation in both the frequency and time domains. The combination of the finite element simulation and cuckoo search algorithm was utilized by Yang et al. [
31] to optimize the sound absorption property of the acoustic metamaterial of multiple parallel hexagonal Helmholtz resonators with sub-wavelength dimensions, in which the simulation results and experimental results exhibited an excellent consistency. Sathyan et al. [
32] proposed a numerical method combining both the finite element method and boundary element method for the acoustic noise of electromagnetic origin generated by an induction motor. In order to improve the research efficiency, Wang et al. [
33] used a two–dimensional equivalent simulation model to obtain the initial value of the parameters and a three–dimensional finite element model to simulate the sound absorption performance of a metamaterial cell. The finite element analysis procedure was selected by Abdullahi and Oyadiji [
34] to simulate wave propagation in air-filled pipes, which was essential in the study of wave propagation in pipe networks such as oil and gas pipelines and urban water distribution networks. Yang et al. [
35] used the finite element method to exhibit the sound absorption mechanism of adjustable parallel Helmholtz acoustic metamaterial through the distribution of sound pressures for the peak absorption frequency points. Van Genechten et al. [
36] developed a hybrid simulation technique for coupled structural-acoustic analysis, which included a wave-based model for acoustic cavity and a direct- or modally-reduced finite element model for the structural part. The influence of tunable aperture with a variable length was investigated by Yang et al. [
37] through an acoustic finite element simulation with a two-dimensional rotational symmetric model, which were consistent with the experimental results. Lin et al. [
38] used the finite element simulation method and the experiment testing to validate the sound insulation performances of a novel sandwich structure compounded with a resonant acoustic metamaterial. Acoustic finite element numerical simulation analysis of the sound insulation hood model was carried out using the acoustic software LMS Virtual Lab Acoustics by Wu et al. [
39], and the simulation result was verified by the experimental validation. It has been proved by these literatures [
30,
31,
32,
33,
34,
35,
36,
37,
38,
39] that the acoustic finite element simulation is an effective and helpful method to analyze the sound characteristics of materials or structures through selecting the suitable mesh type and appropriate element parameters, which is propitious for improving research efficiency and reducing the experimental steps and costs.
Therefore, the sound insulation performance of the composite rubber reinforced with HGM was investigated by acoustic finite element simulation in this research, which aimed to promote its practical application in the field of noise reduction. Meanwhile, the weighted STL with the 1/3 octave band was treated as the evaluation criterion for comparing the sound insulation performance with various influencing parameters [
40,
41,
42]. The finite element simulation model was first built based on the basic theory of pressure acoustics [
43,
44], which could research the sound insulation mechanism of the composite material through analyzing the distribution of the sound pressure level (SPL). Afterward, the influences of the parameters on the STL of the composite materials were investigated one by one, such as the density of the composite rubber and that of the HGM, the acoustic velocity in the polymer and that in the inorganic particle, the frequency of the incident wave, the thickness of the sound insulator, and the diameter, volume ratio and hollow ratio of the HGM. Later, based on the achieved effect behaviors of the influencing parameters, the weighted STL of the composite material for the limited thickness of the sound insulator was optimized through parameter optimization with the neural network algorithm [
45,
46,
47,
48], which aimed to obtain the optimal sound insulation effect with certain constraint conditions. The proposed sound insulation material of composite rubber reinforced with HGM could be considered as a highly efficient sound insulator with little occupied space, which could be favorable for promoting its practical application in the industrial field. In general, the object of this study is to improve the sound insulation performance of the composite rubber reinforced with HGM, and the major method is investigating the influencing principle of each parameter on the SPL based on the acoustic finite element simulation model. The major achievements gained in this research, on the influencing principle of each parameter and the exhibition of the sound insulation mechanism, would provide effective guidance and meaningful reference for the development of a novel sound insulator.
3. Influencing Parameters
The influencing parameters that affected the sound insulation effect of the composite rubber reinforced with the HGM could be divided into two groups. The first group was made up of the structural parameters, such as the diameter, volume ratio, and hollow ratio of the HGM and the thickness of the sound insulator. The second group was the physical parameters, such as the density of the composite rubber and HGM, and the acoustic velocity in the composite rubber and HGM. These eight influencing parameters were investigated one by one in this study. In the simulation process, the calculation quantity of the HGM was the major factor in determining the simulation accuracy. An increase in the calculation quantity could make the simulation process closer to the actual situation, which would lead to a higher simulation accuracy, but the simulation calculation amount would significantly increase, and the simulation time would remarkably extend. Thus, the establishment of the suitable calculation quantity of HGM should be confirmed first. The acoustic finite element simulation models of the composite rubber reinforced with HGM for the various calculation quantities of the HGM are shown in
Figure 4, and the selected calculation quantities of the HGM were 5, 10, 20, 30, 40 and 50, respectively. The other parameters were the same as the reference values of the parameters in
Table 1. The HGMs were randomly distributed in the rubber, which was realized by the random generation of the HGMs in the acoustic finite element simulation model. Supposing the diameter of the computational model was D
c, and calculation quantity of the HGM was N, the volume of the HGM V
h and that of the whole sound insulator V
s could be calculated by Equations (3) and (4), respectively, according to the parameters listed in
Table 1. Thus, according to the definition of the volume ratio of the HGM μ
v, the value of D
c was confirmed by the Equation (5). That is why the D
c had become larger along with the increase in the calculation quantity of the HGM, as shown in
Figure 4.
The mesh partition is another pivotal factor influencing the simulation accuracy and efficiency. In order to give consideration to both the simulation efficiency and accuracy, the free tetrahedron mesh grid was utilized, and the minimum cell size was set as Dh/20/μh, and the maximum cell size was set as Dh/2/μh for the HGM domain; the minimum cell size was set as Dh/20 and the maximum cell size was set as Dh for the composite rubber domain; the other domains were generated by sweeping with the distribution number of 80. These parameters for the mesh partition were applied to all of the finite element simulation models in this study.
Based on the constructed acoustic finite element simulation model and the selected parameters, the STL data with the various calculation quantities of the HGM were gained, as shown in
Table 2, and the change of the weighted STL along with the increase in the calculation quantity N is shown in
Figure 5. It could be calculated that the undulation of the weighted STL was limited in 0.005 dB when the calculation quantity was larger than 20, which indicated that the calculation quantity 20 was enough to achieve accurate simulation results. Therefore, the calculation quantity N was selected as 20 for the following research in this study.
It was interesting to note that the weighted STL rose a little, from 18.7191 dB to 18.7205 dB, when the calculation quantity N increased from 20 to 30. The major reason for this phenomenon was that the generation of HGM in the composite rubber was completely random, and the uniformity of the distribution of the HGMs would affect the simulation accuracy. Normally, the uniformity would improve along with the increase in the calculation quantity N. However, for this particular simulation process, it could be judged that the uniformity of the distribution of the HGMs, when N = 20, as in
Figure 4c, was better than that when N = 30, as in
Figure 4d. Therefore, the uniformity of the distribution of the HGMs was taken into account in the following simulation process, and it would improve when the distribution of the HGMs in the composite rubber was as uniform as possible.
3.1. Structural Parameters
3.1.1. Diameter of the HGM
The acoustic finite element simulation models of the composite rubber reinforced with HGM for the various diameters of the HGM are shown in
Figure 6, which select eleven samples in the value range of D
m, and the other parameters select the reference values. It can be observed from
Figure 6 that the diameter of the computational model D
c grew larger along with the increase in the D
m, which was consistent with the calculation results for Equation (5). Based on the constructed acoustic finite element simulation models and the selected parameters, the STL data with the various diameters of the HGM were gained, as shown in
Table 3. It could be found that the STL data at each investigated frequency point in the range of 100–3150 Hz decreased normally along with the increase in the diameter of the HGM, and this difference was more obvious for the high frequency region.
The variation of the weighted STL along with the increase in the diameter of the HGM D
m is shown in the
Figure 7. It could be found that the relationship between the weighted STL and the diameter of the HGM was negative, particularly when the value of the D
m was smaller than 60. The possible reason for this phenomenon was that the STL was proportional to the modulus of the elasticity of the material E, and the value of E decreased along with the increase in diameter of the HGM D
m. Meanwhile, the HGM with a smaller diameter had the higher density, larger thickness of the wall and the higher rigidity, as shown in the acoustic wave transmission process in the composite rubber reinforced with the HGM in
Figure 3, which generated more acoustic reflecting and diffractive interfaces to consume more acoustic energy. Moreover, the absolute value of the variation of the weighted STL was smaller than 0.1 dB with the increase in the D
m from 20 μm to 500 μm, and all of the weighted STL was maintained in range of 18.71–18.81 dB, which indicated that the relative change of the weighted STL was limited in 0.5%. The major reason for this phenomenon was that the volume of rubber was reduced along with the increase in the diameter of the HGM D
m, because the volume ratio of the HGM was kept constant, which resulted in a smaller decrease in the equivalent modulus of the elasticity of the whole sound insulator and the STL was proportional to the modulus of the elasticity of the material E. However, the HGM with a larger diameter could result in more acoustic reflecting and diffractive interfaces, as shown in
Figure 3, which would lead to an increase in the sound insulation effect. Thus, the final sound insulation performance was determined by the comprehensive effect. That is why the weighted STL decreased normally and there was a small increase in the weighted STL when the diameter of the HGM was 100 μm and 200 μm, respectively. Therefore, it could be concluded that the diameter of the HGM D
m had little impact on the sound insulation effect of the composite rubber reinforced with HGM, and its selection could pay more attention to the other factors, such as manufacturing cost, dispersion, uniformity, etc.
3.1.2. Volume Ratio of the HGM
Similarly, the finite element simulation models of the composite rubber reinforced with HGM for various volume ratios of the HGM μ
v were built, as shown in
Figure 8. When the μ
v is larger than 17.5%, the theoretical computational diameter D
c will be smaller than the diameter of the HGM D
m, which indicated that the model cannot be constructed. Thus, the picked values for the μ
v were in the range of 2.5% to 17.0% in this research.
Based on the constructed acoustic finite element simulation models and the selected parameters, the STL data with various volume ratios of the HGM were achieved, as shown in
Table 4, and the variation of the weighted STL along with the increase in the volume ratio of the HGM μ
v is shown in
Figure 9. It could be found that the relationship between the weighted STL and the volume ratio of the HGM μ
v was positive, which was almost linear. The major reason for this phenomenon was that more acoustic reflecting and diffractive interfaces were generated with the increase in the volume ratio of the HGM μ
v, as shown in the acoustic wave transmission process in the composite rubber reinforced with the HGM in
Figure 3, which could result in a greater consumption of the acoustic energy. However, the absolute value of the variation of the weighted STL was close to 0.6 dB, with the increase in the μ
v from 2.5% to 17%, because the increase in the volume ratio of the HGM μ
v occupied the space of the base material of the rubber, which indicated that the volume ratio of the the HGM also had little impact on the sound insulation effect of the composite rubber reinforced with HGM.
3.1.3. Hollow Ratio of the HGM
Similarly, the finite element simulation models of the composite rubber reinforced with HGM for various hollow ratios of the HGM μ
m were constructed, as shown in
Figure 10. The selected μ
h was in the range of 10% to 90% with an interval of 10%. Based on the built finite element simulation models and the selected parameters, the STL data with the various hollow ratios of the HGM μ
h were achieved, as shown in
Table 5. It could be found that the STL data at each frequency point in the range of 100–3150 Hz decreased normally along with the increase in the hollow ratio of the HGM, both in the low and high frequency ranges.
The variation of the weighted STL along with the increase in the hollow ratio of the HGM μ
h is shown in
Figure 11. It could be found that the relationship between the weighted STL and the hollow ratio of the HGM was negative, particularly when the value of the μ
h was larger than 50%. Along with the increase in the hollow ratio, from 10% to 90%, the weighted STL data decreased from 18.95 dB to 17.10 dB. The major reason for this phenomenon was that with the increase in the hollow ratio of the HGM μ
h, the thickness of the wall of the HGM reduced gradually, as shown in the acoustic wave transmission process in the composite rubber reinforced with HGM in
Figure 3, and its influence on the sound insulation performance was larger than that of the increase in the interface between the HGM and the air inside it, which would result in a decrease in the STL. The variation of the weighted STL was remarkable, which indicated that the hollow ratio of the HGM μ
h was an important controllable factor for adjusting the sound insulation performance of the composite rubber reinforced with HGM. Meanwhile, the small hollow ratio indicated the reduction in the cavity in the HGM, which would increase the actual weight of the HGM. Therefore, the appropriate hollow ratio should be established to give consideration to both the sound insulation performance and the weight of the sound insulator.
3.1.4. Thickness of the Sound Insulator
In the same way, the acoustic finite element simulation models of the composite rubber reinforced with HGM for various thicknesses of the sound insulator T were constructed, as shown in the
Figure 12. The selected T was in the range of 0.5 mm to 4.0 mm, with an interval of 0.5 mm. With the increase in the thickness T, the distribution of the HGMs were more decentralized in the composite rubber, as shown in the
Figure 12. According to the built finite element simulation models and the selected parameters, the STL data with the various thicknesses of the sound insulator T were achieved, which are summarized in
Table 6. It could be observed that the STL was significantly affected by the thickness T in the low frequency range, the middle frequency area or in the high frequency region.
The variation of the weighted STL along with the increase in the thickness of the sound insulator T is shown in
Figure 13. It could be observed that the relationship between the weighted STL and the thickness of the sound insulator was positive, which was consistent with the normal sound insulation principle of viscoelastic materials. As shown in the acoustic wave transmission process in the composite rubber reinforced with HGM in
Figure 3, the consumption of the incident sound wave increased along with the thickness of the sound insulator, because the propagation length of the sound wave increased, and the number of the interfaces raised simultaneously. Meanwhile, it could be found that the improvement in the weighted STL slowed down with the continuous increase in the thickness. Therefore, the thickness T should be confirmed to give consideration to both the sound insulation performance and the occupied space.
3.2. Physical Parameters
In addition to these structural parameters, four physical parameters were investigated in this study, which included the density of the composite rubber ρ
r, the density of the HGM ρ
m, the acoustic velocity in the composite rubber C
r and the acoustic velocity in the HGM C
h. These four physical parameters were studied successively in this section. In contrast to the analysis of the structural parameters, the analysis of the physical parameters does not require a new acoustic finite element simulation model to be built because the alteration of the physical parameters had no influence on the three–dimensional structures of the model. Therefore, the acoustic finite element simulation model in
Figure 1 was utilized, and the influence of the physical parameters was analyzed by changing the values of the corresponding parameters.
3.2.1. Density of the Composite Rubber
Similarly, The STL data with the various densities of the composite rubber ρ
r were gained, which are shown in
Table 7. The variation of the weighted STL along with the increase in the ρ
r is shown in
Figure 14. It could be found that the relationship between the weighted STL and ρ
r was positive. The major reason for this phenomenon was that the sound insulation performance of the composite rubber reinforced with HGM obeyed the law of quality control, which meant that the weighted STL could increase along with the density of the composite rubber ρ
r. However, the improvement of the weighted STL was smaller than 0.8 dB when the value of the ρ
r increased from 900 kg/m
3 to 1000 kg/m
3, because the actual variable range for the density of the composite rubber ρ
r was limited, which meant that the ρ
r had little impact on the sound insulation effect of the sound insulator as well.
3.2.2. Density of the HGM
Similarly, according to the constructed finite element simulation models in
Figure 1 and the selected parameters in
Table 1, the STL data with the various densities of the HGM ρ
m were gained, which are summarized in
Table 8, and the investigated values were in the range of 2100 kg/m
3 to 2900 kg/m
3 with an interval of 100 kg/m
3. The variation of the weighted STL along with the increase in the ρ
m is shown in
Figure 15. It could be found that the relationship between the weighted STL and ρ
m was also positive. Similarly, the major reason for this phenomenon was that the sound insulation performance of the composite rubber reinforced with HGM obeyed the law of quality control, which meant that the weighted STL could increase along with the density of the HGM ρ
m. However, as shown in the acoustic wave transmission process in the composite rubber reinforced with HGM in
Figure 3, the increase in the density of the HGM ρ
m had little influence on the propagation length of the sound wave and the number of interfaces; therefore, the improvement of the weighted STL was near 0.2 dB when the value of the ρ
m increased from 2100 kg/m
3 to 2900 kg/m
3, which indicated that the density of the HGM ρ
m also had little impact on the sound insulation effect of the sound insulator.
3.2.3. Acoustic Velocity in the Composite Rubber
In the same way, according to the constructed finite element simulation models in
Figure 1 and the selected parameters in
Table 1, the STL data with the various acoustic velocities in the composite rubber C
r for the range of 1500 m/s to 2100 m/s with the interval of 100 m/s were obtained, which are shown in
Table 9, and the variation of the weighted STL along with the increase in the C
r is shown in
Figure 16. Although the relationship between the weighted STL and the C
r was positive judging from
Figure 16, the actual weighted STL had almost no change and the variation was smaller than 0.0001 dB, judging from
Table 9, which indicates that the C
r should not be of concern in the development of a sound insulator using composite rubber reinforced with HGM. The major reason for this phenomenon was that the acoustic velocity in the composite rubber C
r was determined by the characteristic parameters of the rubber, such as density, rigidity, hardness, etc.; therefore, the increase in the C
r itself would not affect the sound insulation performance. In fact, the acoustic velocity in the composite rubber C
r was difficult to control and to detect for the actual composite rubber, it was only an investigated parameter in the acoustic finite element model as an influencing factor.
3.2.4. Acoustic Velocity in the HGM
In the same light, according to the constructed finite element simulation models in
Figure 1 and the selected parameters in
Table 1, the STL data with the various acoustic velocities in the HGM C
m were achieved for the range of 4600 m/s to 5400 m/s, with an interval of 100 m/s, which are summarized in
Table 10, and the variation of the weighted STL along with the increase in the C
m is shown in
Figure 17. Similarly, it could be judged from
Figure 16 that the relationship between the weighted STL and the C
m was positive, and the actual weighted STL had almost no change and the variation was smaller than 0.000002 dB, judging from
Table 10. The major reason for this phenomenon was similar to the analysis in
Section 3.2.3 for the acoustic velocity in the composite rubber C
r.
Therefore, it could be concluded that the sound insulation performance was insensitive to the density of the composite rubber and that of the HGM, or the acoustic velocity in the composite rubber and that in the HGM, which indicated that the selections of the type of composite rubber and HGM had almost no influence on the sound insulation performance. This feature was favorable for developing various kinds of sound insulators made up of composite rubber reinforced with HGM for different practical applications by using the suitable rubber (such as butadiene styrene rubber, polyisoprene rubber, fluororubber, butyl rubber, polyurethane rubber, polybutadiene rubber, nitrile rubber, silicon rubber, ethylene propylene rubber, etc.) and the appropriate HGM, which could obtain fine thermal, mechanical, electrical or other properties, as desired.