Study of Carbon Black Types in SBR Rubber: Mechanical and Vibration Damping Properties

Pöschl, Marek; Vašina, Martin; Zádrapa, Petr; Měřínská, Dagmar; Žaludek, Milan

doi:10.3390/ma13102394

Cited by 27 publications

(15 citation statements)

References 32 publications

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“…Styrene-butadiene rubber (SBR) is a synthetic rubber with about 70% usage in the rubber industry. 1,2 Styrene content varies between 24% and 46% depending on the stiffness required. 3 Among reinforcing fillers, carbon black and silica are the most common fillers used in the composition of tire, especially the tread part.…”

Section: Introductionmentioning

confidence: 99%

Investigating the viscoelastic and hysteresis behavior of nano silica/carbon black hybrid reinforced styrene‐butadiene rubber vulcanizates via surface silanization

Kalantari

Abdi

Katbab

2023

Polymer Engineering & Sci

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With the thought of green tires and the need of replacing carbon reinforcing fillers with noncarbon silica filler, the effectiveness of silane surface modification on dispersion state, dynamic viscoelastic, hysteresis, and abrasion resistance of SBR vulcanizates filled with a hybrid of carbon black (CB)/nano SiO 2 is investigated. In situ surface modification of nano SiO 2 is carried out using bis-(γ-triethoxysilylpropyl)-tetrasulfide (TESPT), and various compounds with different ratios of CB/SiO 2 are prepared via a melt mixing process in an internal bath mixer. Scanning electron microscopy (SEM) and FT-IR spectroscopy revealed improved dispersion of silica and CB clusters with enhanced molecular interactions using in situ surface modification with 5 phr of TESPT is performed. Evidence for enhanced molecular interactions included lower dynamic loss (tanδ) and less hysteresis measured via dynamic mechanical thermal analysis (DMTA). Our results indicate that appropriate modification of silica allows partial replacement of carbon black with silica for production of eco-friendly rubber products.

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Section: Introductionmentioning

confidence: 99%

Investigating the viscoelastic and hysteresis behavior of nano silica/carbon black hybrid reinforced styrene‐butadiene rubber vulcanizates via surface silanization

Kalantari

Abdi

Katbab

2023

Polymer Engineering & Sci

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“…Neural network is a relatively systematic and accurate control method in the trajectory tracking control of mechanical arm, which provides an effective way to study the modeling and control of mechanical arm. It can ensure that the position and velocity tracking errors of the end effector of the mechanical arm gradually converge to zero [6,7]. Aiming at the problems of closedchain structure, unknown dynamic parameters, and strong coupling in coordinated multi-mechanical arm systems, a position-force hybrid control strategy was designed based on fuzzy neural network.…”

Section: Introductionmentioning

confidence: 99%

Vibration and Trajectory Tracking Control of Engineering Mechanical Arm Based on Neural Network

Lei

2022

Computational Intelligence and Neuroscience

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We offer a neural network-based control method to control the vibration of the engineering mechanical arm and the trajectory in order to solve the problem of large errors in tracking the path when the engineering mechanical arm is unstable and under the influence of the outside world. A mechanical arm network is used to perform tasks related to learning the unknown dynamic properties of a engineering mechanical arms keyboard without the need for prior learning. Given the dynamic equations of the engineering mechanical arm, the dynamic properties of the mechanical arm were studied using a positive feedback network. The adaptive neural network management system was developed, and the stability and integrity of the closed-loop system were proved by Lyapunov’s function. Engineering mechanical arm motion trajectory control errors were modeled and validated in the Matlab/Simulink environment. The simulation results show that the management of the adaptive neural network is able to better control the desired path of the engineering mechanical arm in the presence of external interference, and the fluctuation range of input torque is small. The PID control has a large error in the expected trajectory tracking of the engineering mechanical arm, the fluctuation range of the input torque is as high as 20, and the jitter phenomenon is more serious. The use of detailed comparisons and adaptive neural network monitoring can perform well in manipulating the trajectory of the engineering mechanical arm. The engineering mechanical arm uses an adaptive neural network control method, in which the control precision of engineering mechanical arm motion trajectory can be improved and the out-of-control phenomenon of mechanical arm motion can be reduced.

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“…On the contrary, resilience decreases, which that the relationship between resilience and carbon black loading levels is inverse. Pöschl et al [16] investigated the influence adding of different kinds of carbon black at the same loading of level for all these kinds of carbon black on the mechanical characteristics as well as the capacity to dampen mechanical vibrations for the styrene-butadiene rubber. They found that the (SBR) mixture has good stiffness at adding (N110 and N330).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Properties of Rubber Blends (NR/BR.cis) Under the Effect of Different Blending Ratio and Carbon Black Type

Al-Raheem¹,

Hassan²,

Jweeg³

2022

BJES

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Due to the wide use of rubber components in different engineering applications such as vibration isolators, engine mounts, car tires, and bridge bearing pads, etc. This rubber component mostly subjected to high levels of vibration and noise which are among the most reasons that lead to the failure of the structures. In the present paper has been performed experimentally to investigate the influences: different content ratios of natural rubber (NR) and polybutadiene (BR.cis) rubber blends [1: (50/50) %, 2: (60/40) %, 3: (70/30) %, 4: (80/20) %, 5: (90/10) %, 6: (100/0) % pphr], and two carbon blacks types (N375, and N220) on the dynamic properties (Rebound Resilience, Damping Time, and Decay Rate). The experimental results showed that the rubber compound that has the blending ratio [1: (50/50) %] has high resilience (low damping), high damping time and high displacement for two carbon black types used in this work. While these properties were improved whenever the rubber blend close to the percentage [5: (90/10) %]. The damping time, amplitude, and resilience of a rubber compound with a blending (90/10) % and carbon black (N220) are decreased by (24.53 %, 36.854 %, and 36.852 %), respectively, compared with a rubber blend that has the blending ratio of (50/50) %.

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Study of Carbon Black Types in SBR Rubber: Mechanical and Vibration Damping Properties

Cited by 27 publications

References 32 publications

Investigating the viscoelastic and hysteresis behavior of nano silica/carbon black hybrid reinforced styrene‐butadiene rubber vulcanizates via surface silanization

Investigating the viscoelastic and hysteresis behavior of nano silica/carbon black hybrid reinforced styrene‐butadiene rubber vulcanizates via surface silanization

Vibration and Trajectory Tracking Control of Engineering Mechanical Arm Based on Neural Network

Dynamic Properties of Rubber Blends (NR/BR.cis) Under the Effect of Different Blending Ratio and Carbon Black Type

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