Effect of particle morphology on mechanical behaviour of highly particle-filled composites

Yang, Zheng; Kang, Ge; Li, Rui; Chen, Pengwan

doi:10.1016/j.ijmecsci.2022.107446

Cited by 10 publications

(2 citation statements)

References 82 publications

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“…Filling degree. The filling degree is divided into the volume filling degree and the area filling degree 19 . The volume filling degree F V is defined as the ratio of the volume of the outer rectangle of the particle to the actual volume of the particle, as shown in Eq.…”

Section: B B Tmentioning

confidence: 99%

The shape parameters of coal and gangue particles derived from 3D scanning

Yang

Tang

et al. 2023

Sci Data

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The irregular shape of mineral particles directly affects the angle of repose, bulk density and flow-properties, and the interaction behaviour between the particles and a contact surface. This paper presents a dataset of spatial data and shape parameters collected from 37 gangue particles and 135 anthracite coal particles, which come from the Shangzhuang Coal Mine. The particle surface models were obtained by a Wiiboox white light raster 3D scanner and Reeyee software. To obtain the scanning surface, each particle was scanned 8 times in different axial rotation directions. The final scanning model was obtained by stacking two scanning surfaces, and the shape parameters, such as length ratio, flatness ratio, and Zingg index, were obtained. This dataset is particularly useful for researchers and engineers who want to investigate the shape of coal and gangue particles or who want to test or benchmark measurement methods concerning the three-dimensional morphology of particles.

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Section: B B Tmentioning

confidence: 99%

The shape parameters of coal and gangue particles derived from 3D scanning

Yang

Tang

et al. 2023

Sci Data

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“…PFPCs offer vast potential and a wide range of applications. However, the performance of polymer matrices may degrade significantly due to their long-term exposure to extreme environments [ 4 , 5 ]. High-temperature oxidation or thermo-oxidative aging is one such example.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Aging Performance of Particle-Filled Polymer Composites Based on RVE Model

Wang,

Fang,

Zhang

et al. 2023

Polymers

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In this study, the aging performance of particle-filled polymer composites (PFPCs) under thermo-oxidative conditions was investigated on multiple scales. High-temperature-accelerated tests were conducted to analyze the effects of aging time and temperature. A representative volume element (RVE) model was established for the PFPCs using a random particle-filling algorithm. A predictive model for the crosslink density was conducted based on the closed-loop chain reaction of polymer oxidation. According to the theory of polymer physics, the relation between the crosslink density and matrix modulus was determined. The particle/matrix interface in the RVE model was represented by the cohesive zone model (CZM). The parameters of the CZM were determined by the inversion techniques. Then, a comprehensive multiscale RVE model was constructed, which was applied to predict the modulus and dewetting strain of the aged PFPCs. The predicted results show good agreement with the test results, which verifies the reliability of our model.

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Microstructural Simulations of Polymer Composites by a Viscoelastic Spring Lattice Model

Xu,

Hu,

Huang

2024

Macro Theory & Simulations

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An improved viscoelastic spring lattice model was used to analyse the mechanical properties of polymer composites containing different microstructures, as exemplified by HTPB‐based solid propellants. A drop‐on‐demand structural model was programmed using the C language to simulate the real solid propellant microstructure. The results show that increasing the particle content has a positive effect on the tensile strength of the propellant, but is detrimental to the ductility. The increase in particle size decreases the maximum tensile strength of the material, reflecting the importance of the dewetting process in the microstructure analysis. Finally, the model accurately predicts that initial defects have a destructive effect on the mechanical properties of the materialThis article is protected by copyright. All rights reserved

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Effect of particle morphology on mechanical behaviour of highly particle-filled composites

Cited by 10 publications

References 82 publications

The shape parameters of coal and gangue particles derived from 3D scanning

The shape parameters of coal and gangue particles derived from 3D scanning

Prediction of Aging Performance of Particle-Filled Polymer Composites Based on RVE Model

Microstructural Simulations of Polymer Composites by a Viscoelastic Spring Lattice Model

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