Thermo-hyper-viscoelastic analysis of a rubber cylinder under cyclic deformation

Bazkiaei, Amirheshmat Khedmati; Shirazi, Kourosh Heidari; Shishesaz, Mohammad

doi:10.1007/s42464-020-00068-2

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…To better connect the axial load and contact stress P c of the rubber, the body deformation coefficient γ must be introduced (Bazkiaei et al, 2021):…”

Section: Theoretical Verification Of Reliability Designmentioning

confidence: 99%

Evaluation of bedding effect on the bursting liability of coal and coal-rock combination under different bedding dip angles

Guo

Shui

Liu

et al. 2023

Adv. Geo-Energy Res.

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Heat injection is essential for oil shale in-situ conversion technology. The downhole of the heat injection well reaches temperatures above 400 • C during the process of heat injection, and part of the high-temperature gas dissipates through the wellbore annulus. Consequently, in addition to causing energy loss, the dissipation causes thermal damage to the casing and wellhead. To avoid dissipation, components that are suitable for high-temperature environments should be sealed and used during heat injection while mining. Therefore, this study presents the design of a packer composed of elastic graphite rubber and a high-temperature-resistant material. The influence of numerous factors, such as downhole temperature, working load, and height of rubber, on the reliability of the packer was analyzed. Subsequently, the numerical simulation analysis of the packer reliability in insitu conversion mining under high temperature and pressure environments was performed. The results indicate that when the operating temperature is stable, the operating load has the most obvious influence on the sealing reliability of the packer, whereas the change in the height of the rubber has the least significant effect on the maximum contact stress between the casing and rubber. The change in the operating temperature has the least significant effect on the overall sealing performance of the packer. Moreover, the rise of the temperature will increase the sealing reliability of the packer, and on the contrary, the drop in the temperature will decrease it.

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“…To better connect the axial load and contact stress P c of the rubber, the body deformation coefficient γ must be introduced (Bazkiaei et al, 2021):…”

Section: Theoretical Verification Of Reliability Designmentioning

confidence: 99%

Evaluation of bedding effect on the bursting liability of coal and coal-rock combination under different bedding dip angles

Guo

Shui

Liu

et al. 2023

Adv. Geo-Energy Res.

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show abstract

“…Thermomechanical coupling simulation can be divided into two categories: decoupling [24] and full coupling [36]. Bazkiaei et al [37] found that the decoupled method is better suited for steady-state simulation, and the coupled method is better Advances in Polymer Technology suited for transient simulation. Because the steady-state temperature field was measured, the decoupling strategy is chosen in this section.…”

Section: Experiments and Simulation Of Hbumentioning

confidence: 99%

Characterization of Viscoelastic Properties Considering the Nonrelaxation for Filled Rubber

Lin,

Huang,

Wang

et al. 2023

Advances in Polymer Technology

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The influence of nonrelaxation on the Payne effect of carbon black-filled rubber is studied. The prestrain is introduced in the Kraus model in the form of exponential growth. Combined with studies of temperature correlations, an explicit model for predicting the Payne effect at different prestrains and temperatures is developed. Dynamic mechanical analyses are performed to determine model parameters and validate the proposed model. To further verify the proposed model, the heat buildup of rubber columns under dynamic tensile load is tested and simulated. The comparison between simulated and measured data shows that the simulation considering nonrelaxation is more accurate than without considering. With the increase of prestrain, the accuracy of considering nonrelaxation becomes more obvious.

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“…In the co-simulation module, the heat generation rate of each element was calculated based on the Kraus self-heating model [ 17 , 18 ] and strain results computed in the deformation module. Due to the temperature, strain, and strain rate dependent dynamic properties of rubber, the HBU behavior is much more complicated [ 32 , 33 , 34 ]. Therefore, we need to introduce a co-simulation calculation method, that is, Endurica software for the calculation of the dissipation field of the solid tire model and Abaqus software for the calculation of the temperature field.…”

Section: Flow Chart Of Thermo-mechanical Coupling Analysis Of Solid T...mentioning

confidence: 99%

Heat Build-Up and Rolling Resistance Analysis of a Solid Tire: Experimental Observation and Numerical Simulation with Thermo-Mechanical Coupling Method

et al. 2022

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The hysteresis of rubber materials due to deformation and viscoelasticity is the main reason for the heat build-up (HBU) and rolling resistance (RR) of the rolling tire. It is important to realize the high precision prediction of HBU and RR of tire for the optimal design of high-performance fuel-saving tire. In this work, a thermo-mechanical coupling method based on Endurica and Abaqus co-simulation was used to predict the steady-state temperature distribution and RR of three finite element models (Lagrangian–Eulerian model, Lagrangian model, and Plane Strain model) of the solid tires under different loads and rotating speeds. The simulation results were compared with the experimental results. The Kraus self-heating model was utilized in the thermo-mechanical coupling method, which realized the quantitative relationship between the dynamic loss modulus of rubber and the loading conditions (temperature, strain, and strain rate). Special attention was paid to the determination of the material parameters in the Kraus self-heating model. The comparison between simulation results and experimental results shows that the Lagrangian model had the highest prediction accuracy, and the average prediction errors of the steady-state surface temperature and RR under three loading conditions were 3.4% and 7.9%, respectively. The Lagrangian–Eulerian model came in the second with average errors of 9.7% and 11.1%, respectively. The Plane Strain model had the worst prediction accuracy, with the average errors of 21.4% and 44.6%, respectively. In terms of the simulation time, the Plane Strain model had the lowest cost, and the average calculation time was 1143 s. The Lagrangian–Eulerian model took the second place, with an average calculation time of 2621 s. The Lagrangian model had the highest computation cost, with an average time of 5597 s. The comparison between the simulation results and the experimental results verified the effectiveness of the thermo-mechanical coupling analysis method. The methods of three finite element models of the solid tires in this work can provide some reference for the optimization design of elastomeric components (Lagrangian model), pneumatic tires (Lagrangian–Eulerian model), and non-pneumatic tires (Plane Strain model).

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Thermo-hyper-viscoelastic analysis of a rubber cylinder under cyclic deformation

Cited by 6 publications

References 27 publications

Evaluation of bedding effect on the bursting liability of coal and coal-rock combination under different bedding dip angles

Evaluation of bedding effect on the bursting liability of coal and coal-rock combination under different bedding dip angles

Characterization of Viscoelastic Properties Considering the Nonrelaxation for Filled Rubber

Heat Build-Up and Rolling Resistance Analysis of a Solid Tire: Experimental Observation and Numerical Simulation with Thermo-Mechanical Coupling Method

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