Conductive elastomeric nanocomposites (CEMs) were prepared in two stages to control the precision of pressure sensors. Carbon-based nanofillers such as multi-walled carbon nanotubes (MWCNT) or graphene (GR) were added to the rubber matrix. For Rubber/MWCNT composites, unfunctionalized (U-MWCNT) and –COOH functionalized MWCNT (F-MWCNT) fillers were synthesized. The properties of the CEMs and the synergistic improvements between the fillers and rubber matrix in composites were also investigated. SEM images show that F-MWCNT fillers were dispersed homogeneously in the composites and they interacted with rubber better than other carbon fillers. The piezoresistivity properties of the CEMs before and after compression were determined using the four-probe method by cyclic loading in 1 mm increments between 1.5 mm and 3.5 mm. F-MWCNT filled composites had higher strength than others when they were compressed by 2.5 mm. The F-MWCNT and GR filled nanocomposites possessed the best resistivity for pressure sensors when compressed at 2.5 mm (for F-MWCNT 1.1E + 08 Ω, GR 5.28E + 06 Ω). These nanocomposites are promising pressures sensors for air suspension systems.
This study aims to determine the ballistic performances of laminated composite plates produced with AA5083-H112 series aluminum and rubber material with high elongation capacity under impact loading. To investigate the effect of rubber compounds, two types of rubber with calendered and damping were prepared. Thanks to the surface treatment applied to the aluminum plates, the rubber–metal adhesion strength was adjusted, and four different laminated composite plate samples were prepared. Calendered rubber was used on the bullet impact surface of all samples, and damping rubber was used on the back. It has been observed that the pressure barrier created by the calendered rubber bullet on the front face provides high performance to absorb energy. A detailed study was carried out on the total thickness of laminated composite plates, the interface adhesion strength between rubber and aluminum layers, and the ballistic performance of aluminum-rubber combinations. It was concluded that the laminated composite plate’s energy absorption would increase, especially by increasing the thickness of the dumping rubber layer on the back of the aluminum sheets. In the strong metal-rubber interface interaction between the rubber and aluminum layer, the bullet is stopped before the pressure barrier is formed. The penetration depth and bulging height increase, and most of the energy are transmitted through the aluminum plate. In the weak metal-rubber interface interaction, a significant portion of the energy is absorbed by the rubber and air thanks to the pressure barrier.
In the presented study, a hybrid Natural Rubber (NR) based semiconductive nanocomposites was examined to obtain better electrical and mechanical properties. The hybrid nanocomposite produced by incorporation of the Multiwalled Carbon Nanotube (MWCNT) and graphite nanoparticles into
the NR. The conventional curing additives also included in the compound. A functionalized MWCNT (1, 2 and 3 phr's) with 3 phr graphite quotas were studied to produce the NR nanocomposites. The MWCNT/Graphite and NR mixed homogeneously to advance the interfacial interaction with the matrix.
The graphite nano-particulates added to obtain 3D electrical connectivity network in the hybrid nanocomposites by becoming bridging points between multiwalled carbon nanotubes. Nanocomposites were produced as 3 mm sheets in a steel mold by vulcanizing at 165 °C for 10 min under pressure.
The single-edge notched tension specimens were subjected to estimate crack propagation and electrical resistance relation. Digital Image Correlation (DIC) technique was used to observe the crack resistivity function. The results evaluated to clarify the relationship between crack length, MWCNT
filler ratio, and electrical conductivity properties. MWCNTs are generally preferred as the reinforcements for their very high aspect ratio and excellent specific surface area properties. However, the electrical conductivity of the nanocomposites is owing to the constitution of a continuous
conductive 3D network of MWCNT and Graphite in the NR matrix.
In the present study, an elastomeric nanocomposite was prepared by two roller mixing mill with the Natural Rubber (NR) and Nano Graphene Platelets (NGP). The Nylon 6.6 cord fabrics were laminated with the prepared NR/NGP nanocomposite layers. The NR/NGP composites and Nylon 6.6 cord fabric laminated nanocomposite plates were cured at 165 °C for 10 min under pressure.Nylon 6.6 fabric reinforced NR/NGP nanocomposites were electrically characterized under free and cyclic loading conditions. NGP addition to NR improved the electrical conductivity. Under cyclic loading produced nanocomposite and cord fabric layered plates showed periodical sensing behavior with same amplitude in each period.
Elastomer-based nanocomposites(EcNs) were prepared with a novel mixing method to determine the deformation properties under constant amplitude dynamic operating conditions. The fillers of EcNs consists of functionalized(M-FCNTs) and nonfunctionalized carbon-nanotubes(M-NCNTs), graphite(GF) and carbon black(CB). In this study, six different mixtures were prepared using M-FCNT, and M-NCNT fillers in 1, 2, 3 phr ratios, except for a CB-filled reference mixture(C00). Graphite, which has exfoliation and excellent lubricating properties1, was added to six mixtures at the rate of 1 phr to prevent agglomeration of M-CNTs in the mixtures. SEM images show that M-CNTs are homogeneously distributed, interacting strongly with GF, and M-FCNTs have a better interface interaction than M-NCNTs. During crosslinking of M-NCNT filled EcNs, due to the resistance in the direction of the polymer chain's movement, the difference between minimum torque and maximum torque increased by approximately 10% compared to M-FCNTs. The lost energy (ΔW) between the loading and unloading curves of M-NCNT filled EcNs increased compared to the M-FCNT filled mixtures and C00. The resistance properties depending on the samples' strain value showed a more stable and repetitive behavior in M-FCNT filled EcNs with a ratio of 1 and 2 phr, called F-C01 and F-C02, respectively. The semiconductor F-C01 sample showed the most stable behavior due to preserving the conductive filler network's structural order during the fatigue test, although the average resistance change was highest with 1.51E + 07 Ω. We discuss ways to use conductive elastomer composites as an effective deformation detection sensor in dynamic applications based on the results.
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