Pulse shaper design for dynamic testing of viscoelastic materials using polymeric SHPB

Jiang, Tao; Xue, Pu; Butt, Hafiz Sana Ullah

doi:10.1016/j.ijimpeng.2014.08.016

Cited by 36 publications

(11 citation statements)

References 21 publications

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“…FE simulation is advantageously used, as a complement to traditional analytical methods, to develop new SHPB experiments. In particular, FE calculations can be useful to control the stress homogeneity or the balance of the elastic waves, to identify material parameters 29 or to validate a material model, 30 to adapt specific component 11,31 (pulse shaper, 32–34 or the striker 35 ) to improve the SHPB test under particular conditions. In this study, FE calculations are used to develop a confinement device composed of a massive and rigid part and two cells which are considered as additional and disturbing parts.…”

Section: Designmentioning

confidence: 99%

Confinement device to assess dynamic crushability of wood material

Wouts

Haugou

Oudjene

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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Cellular materials such as wood are widely and advantageously used as shock absorbers in various transport applications. The design and manufacturing of structures made of these materials require the knowledge of their dynamic compressive properties at various strain rates and stress states. Therefore, it is challenging to conduct dynamic multiaxial stress state experiments and especially on split-Hopkinson pressure bar apparatus where stress hardening increases as a function of velocity. This paper presents the so-called verification and validation methodology for confining solutions dedicated to impact on viscoelastic split-Hopkinson pressure bar system with large diameter bars. The method is a hybrid approach combining finite element analysis and an original experimental validation. Based on finite element results, particular attention is given to the mass, the material and the geometry to minimize the confining device influence on the propagation of elastic waves and thus on the material response of the tested specimens. It is essential to avoid spurious reflected waves at the new interfaces of the system in order to ensure the validity of the experimentation. The numerically predicted solutions are experimentally validated and preliminary results in the context of dynamic loadings using wood material are presented.

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Section: Designmentioning

confidence: 99%

Confinement device to assess dynamic crushability of wood material

Wouts

Haugou

Oudjene

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…A significant issue that often happens when modeling impact phenomenon through FE methods regards addressing the impact material response; commonly, additional material testing is required to derive the parameters of the viscoelastic and the viscoplastic constitutive material response. 15 Knowing the material response is essential because all materials tend to brittle and to gain stiffness at higher strain deformation rates. 16 It is well known that shock and impact deform materials under different strain rates.…”

Section: Introductionmentioning

confidence: 99%

An Artificial Neural Networks approach to predict low-velocity impact forces in an elastomer material

Rodríguez-Sánchez

2020

SIMULATION

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The study of the impact phenomenon on rubber-like materials has been traditionally related to lumped parameter modeling or discrete Finite Element models that require experimentation associated with the material behavior at a level of constitutive modeling, and additional testing to validate their operation in case of engineering applications. This article presents an Artificial Neural Network approach to predict and simulate the low-velocity impact force in a thermoplastic elastomer material. Neural network models were trained and validated with experimental data obtained from impact tests in a modified Charpy apparatus. An experimental setup and a data acquisition procedure were set out to record the impact forces on elastomer specimens. The coefficient of determination R2, the Root Mean Square Error, and the Maximum Absolute Error measures were implemented as error functions to evaluate the performance of the neural networks regarding experimental data. Results show that the proposed method helps to predict and derive impact force curves within the range of the training data, since errors below 1% regarding experimental values were obtained. The results also demonstrate that the neural networks can simulate impact force curves within the range of the experimental values without the need to involve parameters of material strain-rate sensitivity. In addition, the approach was tested in another material, and the corresponding results show good prediction capabilities since errors below 1% were obtained. Therefore, it is concluded that the presented artificial neural models, and the approach, could be useful to create solution spaces for low-velocity impact responses of thermoplastic elastomers.

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“…High-speed camera, 20 scanning electron microscope (SEM), 21 high/low temperature environment box 22,23 and other devices and digital image technology, 24 remanufacturing assembly technology, 25 pulse shaping technology, 26 and so on are used to analyze the impact deformation, microstructure evolution, and damage mechanism of polymer materials. Experiment on static and dynamic mechanical performance found that (1) the elastic modulus and yield strength of polymers exhibit a significant strain rate effect 27 ; (2) the stress-strain curves under quasi-static and dynamic conditions are susceptible to temperature (i.e. the lower the temperature is, the greater the deviation will be) 28 ; (3) the compression behavior at high strain rate is aligned with the Zhu-Wang-Tang (ZWT) constitutive model, which can be used to reflect the compression response of the polymer at different strain rates.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, test devices, such as universal testing machines and Split Hopkinson pressure bars (SHPBs), have been used to test the static and dynamic performance of polycarbonate/methyl acrylate blend, 12 polyester matrix, 13 polyurethane elastomer, 14 three-dimensional (3D) printing polymer, 15 polymethyl methacrylate, 16 polytetrafluoroethylene, 17 gelatin, 18 polyuria, 19 and other polymer materials. High-speed camera, 20 scanning electron microscope (SEM), 21 high/low temperature environment box 22,23 and other devices and digital image technology, 24 remanufacturing assembly technology, 25 pulse shaping technology, 26 and so on are used to analyze the impact deformation, microstructure evolution, and damage mechanism of polymer materials. Experiment on static and dynamic mechanical performance found that (1) the elastic modulus and yield strength of polymers exhibit a significant strain rate effect 27 ; (2) the stress–strain curves under quasi-static and dynamic conditions are susceptible to temperature (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Static and dynamic mechanical behavior and constitutive model of polyvinyl chloride elastomers for design processes of soft polymer materials

Lei

Xuan

Liu

et al. 2014

Advances in Mechanical Engineering

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Soft polymer materials are often used in shock absorption, cushioning, and so on. During the design and development process, determining the mechanical behavior and constitutive properties under static and dynamic loads is important to improve product performance. This study aims to analyze the static mechanical performance of polyvinyl chloride elastomers with different Shore hardness levels. Static and dynamic mechanical performance experiments with loading strain rates of 0.1, 1650, 2000, and 2700 s−1 were performed in polyvinyl chloride elastomers (57A, 52A, and 47A) using an electronic dynamic and static fatigue tester and an improved Split Hopkinson pressure bar. Microstructures were observed by scanning electron microscopy. Results showed that the addition of plasticizers to polyvinyl chloride promoted the crystallization of the polymer. The presence of plasticizer in the crystal also reduced crystallization. The material plasticity, elastic modulus, yield stress, and flow stress increase with increasing hardness/strain rate, whereas the hardness decreases. The mechanical behavior of polyvinyl chloride elastomers under static and dynamic loads exhibited superelastic and viscoelastic characteristics, respectively. The Mooney–Rivlin, Neo–Hookean, and Yeoh models were selected for the superelastic constitutive model, whereas the Zhu–Wang–Tang model was used for the viscoelastic one. Finally, the applicability of the model was explained. This study can provide theoretical model and method support for the design and development of soft polymer materials.

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Pulse shaper design for dynamic testing of viscoelastic materials using polymeric SHPB

Cited by 36 publications

References 21 publications

Confinement device to assess dynamic crushability of wood material

Confinement device to assess dynamic crushability of wood material

An Artificial Neural Networks approach to predict low-velocity impact forces in an elastomer material

Static and dynamic mechanical behavior and constitutive model of polyvinyl chloride elastomers for design processes of soft polymer materials

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