Filler Type and Particle Distribution Effect on Compact Properties of Polymer Composites

An investigation on effective thermal conductivity of hybrid-filler polymer composites under effects of random particle distribution, particle size and thermal contact resistance

International Journal of Heat and Mass Transfer ◽

10.1016/j.ijheatmasstransfer.2019.118605 ◽

2019 ◽

Vol 144 ◽

pp. 118605 ◽

Cited By ~ 2

Author(s):

Ich Long Ngo ◽

Viet Anh Truong

Keyword(s):

Thermal Conductivity ◽

Particle Size ◽

Contact Resistance ◽

Effective Thermal Conductivity ◽

Polymer Composites ◽

Thermal Contact Resistance ◽

Particle Distribution ◽

Thermal Contact ◽

Hybrid Filler ◽

Random Particle

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Inhibition of grain growth by particle distribution: effect of spatial heterogeneities and of particle strength dispersion

Materials Science and Engineering A ◽

10.1016/s0921-5093(00)00990-4 ◽

2000 ◽

Vol 292 (1) ◽

pp. 34-39 ◽

Cited By ~ 17

Author(s):

D Weygand ◽

Y Bréchet ◽

J Lépinoux

Keyword(s):

Grain Growth ◽

Particle Distribution ◽

Distribution Effect ◽

Particle Strength

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Pyrolysis Preparation Process of CeO2 with the Addition of Citric Acid: A Fundamental Study

Crystals ◽

10.3390/cryst11080912 ◽

2021 ◽

Vol 11 (8) ◽

pp. 912

Author(s):

Chao Lv ◽

Ming-He Sun ◽

Hong-Xin Yin ◽

Zhen-Feng Wang ◽

Tian-Yuan Xia

Keyword(s):

Citric Acid ◽

Mass Fraction ◽

Concentration Distribution ◽

Flow Model ◽

Particle Distribution ◽

Operating Conditions ◽

Fundamental Study ◽

Distribution Effect ◽

Energy Storage Material ◽

Citric Acid Content

CeO2 is an important energy storage material that can be used in solid fuel cells. Adding citric acid can improve the particle distribution of the pyrolytic preparation of CeO2 inside the reactor. Through Fluent, this paper investigated the pyrolysis preparation of CeO2 with the addition of citric acid by adopting the Eulerian multiphase flow model, component transportation model, and standard k-ε turbulence model. The experimental and simulation results suggest that the addition of citric acid can alter the pressure, temperature, and component distributions inside the reactor. When the mass fraction of O2 is 0.3, the concentration distribution effect of the CeO2 component is optimal and its conversation rate is the highest. When the mass fraction of citric acid is 0.04, the concentration distribution effect of the CeO2 component is the best, as witnessed by the high CeO2 concentration at the exit. It was found that an O2 content of 30 wt % and citric acid content of 4 wt % were optimal operating conditions for this technology.

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Numerical analysis for the effects of particle distribution and particle size on effective thermal conductivity of hybrid-filler polymer composites

International Journal of Thermal Sciences ◽

10.1016/j.ijthermalsci.2019.03.037 ◽

2019 ◽

Vol 142 ◽

pp. 42-53 ◽

Cited By ~ 2

Author(s):

Ich Long Ngo ◽

Chan Byon ◽

Byeong Jun Lee

Keyword(s):

Thermal Conductivity ◽

Particle Size ◽

Numerical Analysis ◽

Effective Thermal Conductivity ◽

Polymer Composites ◽

Particle Distribution ◽

Hybrid Filler

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Correlation Between Microscale Magnetic Particle Distribution and Magnetic-Field-Responsive Performance of Three-Dimensional Printed Composites

Journal of Micro and Nano-Manufacturing ◽

10.1115/1.4038574 ◽

2017 ◽

Vol 6 (1) ◽

Cited By ~ 12

Author(s):

Lu Lu ◽

Erina Baynojir Joyee ◽

Yayue Pan

Keyword(s):

Magnetic Field ◽

Polymer Composites ◽

Magnetic Particle ◽

Particle Distribution ◽

Three Dimensional ◽

Distribution Patterns ◽

Chain Structure ◽

Physical Models ◽

Distribution Data ◽

Material Distribution

To date, several additive manufacturing (AM) technologies have been developed for fabricating smart particle–polymer composites. Those techniques can control particle distributions to achieve gradient or heterogeneous properties and functions. Such manufacturing capability opened up new applications in many fields. However, it is still widely unknown how to design the localized material distribution to achieve desired product properties and functionalities. The correlation between microscale material distribution and macroscopic composite performance needs to be established. In our previous work, a novel magnetic field-assisted stereolithography (M-PSL) process was developed, for fabricating magnetic particle–polymer composites. In this work, we focused on the study of magnetic-field-responsive particle–polymer composite design with the aim of developing guidelines for predicting the magnetic-field-responsive properties of the composite. Microscale particle distribution parameters, including particle loading fraction, magnetic particle chain structure, microstructure orientation, and particle distribution patterns, were investigated. Their influences on the properties of particle–polymer liquid suspensions and properties of the three-dimensional (3D) printed composites were characterized. By utilizing the magnetic anisotropy properties of the printed composites, motions of the printed parts could be actuated at different positions in the applied magnetic field. Physical models were established to predict magnetic properties of the composite and trigger distance of fabricated parts. The predicted results agreed well with the experimental measurements, indicating the effectiveness of predicting macroscopic composite performance using microscale distribution data, and the feasibility of using the developed physical models to guide multimaterial and multifunctional composite design.

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