Constitutive model calibration for the thermal viscoelastic-viscoplastic behavior of high density polyethylene under monotonic and cyclic loading

Almomani, Abdulla; Deveci, Süleyman; Mourad, Abdel‐Hamid I.; Barsoum, Imad

doi:10.1016/j.polymertesting.2022.107911

Cited by 17 publications

(4 citation statements)

References 71 publications

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“…Based on the stress strain data at diverse temperatures of 23 • C, 60 • C and 80 • C and strain rates of 0.00333 s −1 , 0.0333 s −1 and 0.333 s −1 [39], JC parameters were developed to reflect the material behavior of HDPE during the FSW process. Table 2 presents the JC process parameters to model the material response of HDPE.…”

Section: Materials Propertiesmentioning

confidence: 99%

Thermomechanical Modeling of Material Flow and Weld Quality in the Friction Stir Welding of High-Density Polyethylene

Ahmad¹,

Almaskari

Sheikh-Ahmad

et al. 2023

Polymers

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A thermomechanical model of the friction stir welding (FSW) of high-density polyethylene (HDPE) was developed by incorporating a Coupled Eulerian–Lagrangian (CEL) approach. A Johnson Cook (JC) material model of HDPE was developed through experimentally generated strain-rate- and temperature-dependent stress strain data. Two sets of FSW process parameters with minimum and maximum weld defects were numerically modeled. The numerically calculated temperature distribution, material flow and flash and potential defects were validated and discussed with the experimental results. Tracer particles allowed to visualize the material movement during and after the tool had traversed from the specified region of the workpiece. Both numerical models presented similar maximum temperatures on the upper surface of the workpiece, while the model with high traverse speed and slow rotational speed had narrower shoulder- and heat-affected zones than the slow traverse, high rotational speed model. This contributed to the lack of material flow, hence the development of voids and worm holes in the high traverse speed model. Flash and weld defects were observed in models for both sets of process parameters. However, slow traverse, high rotational speeds exhibited smaller and lesser weld defects than high traverse, slow rotational speeds. The numerical results based on the CEL approach and JC material model were found to be in good agreement with the experimental results.

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Section: Materials Propertiesmentioning

confidence: 99%

Thermomechanical Modeling of Material Flow and Weld Quality in the Friction Stir Welding of High-Density Polyethylene

Ahmad¹,

Almaskari

Sheikh-Ahmad

et al. 2023

Polymers

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“…It should be noted that a proper constitutive model calibration improves the capability of numerical models in predicting the large deformation behavior of polymeric lattice materials, particularly the ones fabricated with base materials that are highly sensitive to strain and temperature variations. With this regard, Almomani et al [127] and Shahin et al [128] provided constitutive model calibrations of the time and temperature-dependent behavior of HDPE material.…”

Section: Uniaxial Compression Testsmentioning

confidence: 99%

Review of Additively Manufactured Polymeric Metamaterials: Design, Fabrication, Testing and Modeling

Almesmari,

Baghous,

Ejeh

et al. 2023

Polymers

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Metamaterials are architected cellular materials, also known as lattice materials, that are inspired by nature or human engineering intuition, and provide multifunctional attributes that cannot be achieved by conventional polymeric materials and composites. There has been an increasing interest in the design, fabrication, and testing of polymeric metamaterials due to the recent advances in digital design methods, additive manufacturing techniques, and machine learning algorithms. To this end, the present review assembles a collection of recent research on the design, fabrication and testing of polymeric metamaterials, and it can act as a reference for future engineering applications as it categorizes the mechanical properties of existing polymeric metamaterials from literature. The research within this study reveals there is a need to develop more expedient and straightforward methods for designing metamaterials, similar to the implicitly created TPMS lattices. Additionally, more research on polymeric metamaterials under more complex loading scenarios is required to better understand their behavior. Using the right machine learning algorithms in the additive manufacturing process of metamaterials can alleviate many of the current difficulties, enabling more precise and effective production with product quality.

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“…Quite a few viscoelastic-viscoplastic constitutive models are available to capture the strain-rate dependent stress-strain response of SCPs. [19][20][21][22][23][24][25][26] These models differ by the position and layout of the spring and dashpot in the rheological framework. 27 Additionally, the evolution of viscous shear stresses over time differs across these models.…”

Section: Introductionmentioning

confidence: 99%

“…These models, however, have difficulty predicting both the hardening response at both high strains and the rate‐dependent mechanical characteristics. Quite a few viscoelastic–viscoplastic constitutive models are available to capture the strain‐rate dependent stress–strain response of SCPs 19–26 . These models differ by the position and layout of the spring and dashpot in the rheological framework 27 .…”

Section: Introductionmentioning

confidence: 99%

Temperature and strain rate effects on ultra‐high‐molecular‐weight‐polyethylene compression: An experimental and modeling approach

Kumar,

Ravi,

Singh

2024

Polymer Engineering & Sci

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This study aims to predict the compression behavior of ultra‐high molecular weight polyethylene (UHMWPE) at various temperatures (25, 40, and 55°C) and strain rates (~10−4/s and ~10−2/s) using a single set of three‐network (TN) viscoplastic model parameters. The TN model is made up of three parallel networks: networks A and B use nonlinear springs and dashpots to control the responses of the crystalline phase and confined amorphous phases, respectively, while network C captures the macromolecular amorphous networks using a single nonlinear spring. A single set of TN model parameters captures the yield and post‐yield hardening responses of the stress–strain curves at experimental temperatures and strain rates. When these TN model calibrated parameters are used as material property in a commercial finite element tool to simulate UHMWPE compression, the predicted and simulated results match well, showing the model's fidelity. Additionally, the model predicts experiments conducted at 40 and 70°C with loading rates of ~10−3/s and ~10−2/s, respectively. The study also correlates the deformations of UHMWPE's crystalline structure and macromolecular amorphous networks with its global stress versus strain response by extracting stresses from individual networks of the TN model at different strain rates and temperatures.Highlights UHMWPE's mechanical behavior predicted by a single set of TN model parameters TN model predicts mechanical response at various strain rates and temperatures. TN model explains microstructural crystalline and amorphous phase deformations.

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Constitutive model calibration for the thermal viscoelastic-viscoplastic behavior of high density polyethylene under monotonic and cyclic loading

Cited by 17 publications

References 71 publications

Thermomechanical Modeling of Material Flow and Weld Quality in the Friction Stir Welding of High-Density Polyethylene

Thermomechanical Modeling of Material Flow and Weld Quality in the Friction Stir Welding of High-Density Polyethylene

Review of Additively Manufactured Polymeric Metamaterials: Design, Fabrication, Testing and Modeling

Temperature and strain rate effects on ultra‐high‐molecular‐weight‐polyethylene compression: An experimental and modeling approach

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