Modeling Hyperelastic Behavior of Natural Rubber/Organomodified Kaolin Composites Oleochemically Derived from Tea Seed Oils (Camellia sinensis) for Automobile Tire Side Walls Application

Ihueze, Christopher Chukwutoo; Mgbemena, Chinedum Ogonna

doi:10.9734/jsrr/2014/11587

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…In this paper, an ILG is modeled by the hyperelastic nonlinear finite element model. The simulation results show that the Mooney-Rivlin model can well adapt to the constitutive relation of the material [ 30 , 31 ]. The main advantage of the ILG is that the stress-strain curve can be obtained by the performance parameters of the material in a relatively short time, which provides a theoretical basis for the optimal design of a soft robot.…”

Section: Discussionmentioning

confidence: 99%

A Computing Method to Determine the Performance of an Ionic Liquid Gel Soft Actuator

Zhang

Zhou

et al. 2018

Applied Bionics and Biomechanics

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A new type of soft actuator material—an ionic liquid gel (ILG) that consists of BMIMBF4, HEMA, DEAP, and ZrO2—is polymerized into a gel state under ultraviolet (UV) light irradiation. In this paper, we first propose that the ILG conforms to the assumptions of hyperelastic theory and that the Mooney-Rivlin model can be used to study the properties of the ILG. Under the five-parameter and nine-parameter Mooney-Rivlin models, the formulas for the calculation of the uniaxial tensile stress, plane uniform tensile stress, and 3D directional stress are deduced. The five-parameter and nine-parameter Mooney-Rivlin models of the ILG with a ZrO2 content of 3 wt% were obtained by uniaxial tensile testing, and the parameters are denoted as c10, c01, c20, c11, and c02 and c10, c01, c20, c11, c02, c30, c21, c12, and c03, respectively. Through the analysis and comparison of the uniaxial tensile stress between the calculated and experimental data, the error between the stress data calculated from the five-parameter Mooney-Rivlin model and the experimental data is less than 0.51%, and the error between the stress data calculated from the nine-parameter Mooney-Rivlin model and the experimental data is no more than 8.87%. Hence, our work presents a feasible and credible formula for the calculation of the stress of the ILG. This work opens a new path to assess the performance of a soft actuator composed of an ILG and will contribute to the optimized design of soft robots.

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Section: Discussionmentioning

confidence: 99%

A Computing Method to Determine the Performance of an Ionic Liquid Gel Soft Actuator

Zhang

Zhou

et al. 2018

Applied Bionics and Biomechanics

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“…It is pointed out that the average error between the finite element calculation and the experimental data is small, showing the design potential of this method for soft robots. [25,26] The finite element model requires the input of some mechanical properties of the ILG. In this paper, a standard uniaxial stretch method is used to measure the required ILG properties.…”

Section: Discussionmentioning

confidence: 99%

Finite element analysis of ionic liquid gel soft actuator

Zhang

Ding

2017

Chinese Phys. B

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A new type of soft actuator material-ionic liquid gel (ILG), which consists of HEMA, BMIMBF 4 , and TiO 2 , can be transformed into gel state under the irradiation of ultraviolet (UV) light. In this paper, Mooney-Rivlin hyperelastic model of finite element method is proposed for the first time to study the properties of the ILG. It has been proved that the content of TiO 2 has a great influence on the properties of the gel, and Young's modulus of the gel increases with the increase of its content, despite of reduced tensile deformation. The results in this work show that when the TiO 2 content is 1.0 wt%, a large tensile deformation and a strong Young's modulus can be obtained to be 325% and 7.8 kPa, respectively. The material parameters of ILG with TiO 2 content values of 0.2 wt%, 0.5 wt%, 1.0 wt%, and 1.5 wt% are obtained, respectively, through uniaxial tensile tests, including C 10 , C 01 , C 20 , C 11 , C 02 , C 30 , C 21 , C 12 , and C 03 elements. In this paper, the large-scaled general finite element software ANSYS is used to simulate and analyze the ILG, which is based on SOLID186 element and nonlinear hyperelastic Mooney-Rivlin model. The finite element simulation analysis based stress-strain curves are almost consistent with the experimental stress-strain curves, and hence the finite element analysis of ILG is feasible and credible. This work presents a new direction for studying the performance of soft actuator for the ILG, and also contributes to the design of soft robot actuator.

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“…Since then various strain energy functions are continuously being developed in order to determine the stress strain behaviour of hyperelastic materials that can best fit the experimental data [21,22]. For example, the Hyperelastic Arruda Boyce model was used to simulate the behaviour of rubber-organomodified kaolin composites [23], and the tensile properties of Arenga Pinnata fibre-reinforced silicone rubber were predicted effectively using the hyperelastic Neo Hookean model with relatively less error [24]. In another work, with modifications to the existing hyperelastic models, a constitutive model was proposed for the tensile testing of oil palm mesocarp fibre [25].…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Investigation of Oil Palm Shell Reinforced Rubber Composites

et al. 2020

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This paper presents a pioneering effort to ascertain the suitability of hyperelastic modelling in simulating the stress–strain response of oil palm shell reinforced rubber (ROPS) composites. ROPS composites with different oil palm shell contents (0%, 5%, 10% and 20% by volume) were cast in the laboratory for the experimental investigation. ROPS specimens with circular, square, hexagon, and octagon shapes (loading surface) were considered to evaluate the accuracy of finite element simulation considering the shape effect of composites. Strain-controlled (compressive) tests with ε ≈ 50% at 0.8 Hz frequency were conducted in the laboratory and the test data obtained was used as input to simulate material coefficients corresponding to the strain energy functions chosen. Five different strain energy functions were selected and utilized for the hyperelastic modelling in this study using finite element approach. The shape effect was then used to ascertain any variation in the simulation outcomes and to discuss the effect of shape on the behaviour of ROPS composites in comparison to existing literature. The numerical predictions using the Yeoh model (error ≤ 2.7% for circular shaped ROPS) were found to perform best in comparison with the experimental results, thus a more stable and suitable hyperelastic model to this end. The Marlow (error ≤ 4.6% for circular shaped ROPS) and Arruda Boyce (error ≤ 4.7% for circular shaped ROPS) models were amongst the next alternatives to perform better. Even with the other shapes considered in this study, Yeoh, followed by the Marlow function, were more appropriate models. The shape effect was then studied with particular emphasis on comparing and assessing them with that observed in the literature. To this end, adopting the Yeoh function in the finite element model is the ideal approach to estimate the stress–strain response of ROPS composites.

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Modeling Hyperelastic Behavior of Natural Rubber/Organomodified Kaolin Composites Oleochemically Derived from Tea Seed Oils (Camellia sinensis) for Automobile Tire Side Walls Application

Cited by 6 publications

References 18 publications

A Computing Method to Determine the Performance of an Ionic Liquid Gel Soft Actuator

A Computing Method to Determine the Performance of an Ionic Liquid Gel Soft Actuator

Finite element analysis of ionic liquid gel soft actuator

Numerical and Experimental Investigation of Oil Palm Shell Reinforced Rubber Composites

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