Material Texture and α-β Phase Transition of Self-assembled BaTiO&lt;sub&gt;3&lt;/sub&gt;/Polyvinylidene Fluoride Composites

Yamazaki, Haruna; Takeda, Mariko; Takagi, Yuka; Nagata, Hajime; Abe, Satoko; Uchikoshi, Tetsuo; Munakata, Fumio

doi:10.2497/jjspm.69.195

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…This is similar to the agglomeration/aggregation and growth of fillers in a matrix. As previously reported for fractal material texture organization, [6][7][8][9][10][11][12][13][14][15] the construction of this self-assembly/self-organization consists of the following two processes:…”

Section: Introductionmentioning

confidence: 67%

“…In the case of PVDF, it is thought that the physical and chemical effects of the filler interface have an influence. [12,14] This difference in the aggregation mechanism of fillers is thought to reflect the network formation energy of the particle groups. The interaction energy E int.…”

Section: Resultsmentioning

confidence: 99%

“…In particular, the interaction of the filler particles in the matrix and the resulting network formation are important for expressing specific functionality. In fact, in β-Si 3 N 4 (SN)/austenitic stainless steel (SUS) [6,7] and BaTiO 3 (BT)/piezoelectric polyvinylidene fluoride (PVDF) [8][9][10][11][12][13][14][15] systems, the characteristics of the material structure constructed by the process of self-assembly or self-organization have been mapped to material performance such as dielectric properties and thermal conductivity.…”

Section: Introductionmentioning

confidence: 99%

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Thermal conductivities and complex network properties of fractal self-assembled/self-organized texture in binary composite materials

Munakata,

Ogiya,

Sato

2024

Appl. Phys. A

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To investigate the relationship between histological properties and thermal conductivities of binary self-assembled/self-organized fractal materials fabricated by the mixed diffusion of filler particles, the particle group distribution of the filler particles was analyzed. Unlike conventional research on particle size distribution, we performed an analysis that focuses on interactions and connectivity between particles from the perspective of the Barabasi-Albert model. In three complex network systems of β-Si3N4 (SN)/austenitic stainless steel (SUS), SN/piezoelectric polyvinylidene fluoride (PVDF), and BaTiO3 (BT)/PVDF, the size distribution of secondary particles was a power-law distribution until the particle group grew relatively large. In the SN/SUS and SN/PVDF systems, a crossover phenomenon was observed in which the order distribution exhibited a power-law in the region where the particle group area was small, and as the particle group became larger, the order distribution became exponential distribution. On the other hand, the BT/PVDF system deviated from the power law distribution as the particle group area increased but did not exhibit an exponential distribution. The characteristics of the particle group distribution of these filler particles were closely related to thermal conductivity, indicating that the connection of particle groups was important. Furthermore, the relationship between the multifractal capacitance dimension, which is strongly correlated with the distance between the particle groups, and the total number of filler particle groups suggests that the texture of these composite material systems may have both small-world and scale-free properties. We also focused on the relationship between the multifractal and complex network properties of the three particle groups. As a result, a correlation was found between the slope γ, which reflects the characteristics of the power distribution, and the thermodynamic parameter α (corresponding to internal energy change) obtained from multifractals. In particular, the smaller the change in γ relative to the change in α, the more pronounced the bonding of particles and particle groups, while the larger change in γ suggested the dispersion of particle groups.

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Section: Introductionmentioning

confidence: 67%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermal conductivities and complex network properties of fractal self-assembled/self-organized texture in binary composite materials

Munakata,

Ogiya,

Sato

2024

Appl. Phys. A

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Development of a piezo biosensor for pathogen-specific biopolymer detection using a self-assembly barium titanate/polyvinylidene fluoride composite material

Takeda

Yoshino

Yamazaki

et al. 2023

Sensors and Actuators A: Physical

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Fractal texture and dielectric properties of BaTiO3/poly-vinylidene fluoride composites

Munakata,

Yamazaki,

Takeda

et al. 2023

Journal of Applied Physics

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The effects of the dispersion state of BaTiO3 ceramic fillers, which significantly improve the dielectric constant of BaTiO3/polyvinylidene fluoride composites, were investigated. To understand the microscopic and macroscopic features of the obtained composite textures, we have attempted a multifractal analysis of the microstructure of composite materials. The fractal nature of the composite material texture was investigated using multifractal parameters (the qth-moment dimension D(q) and scaling exponent τq) in the formation of fractal aggregates of BaTiO3 (BT) particles in polyvinylidene fluoride (PVDF) composites. In the plots of D(q) and τ(q) vs q, the obtained results confirmed that q > 0 could be quantitatively evaluated as local characteristics (morphology, arrangement, and dispersion), whereas q < 0 could be quantitatively evaluated as global characteristics (aggregate network structure formation). As a result of evaluating the internal energies and entropies of the micro- and macro-regions from the plot of τq vs q, the aggregate formation energy (E1), aggregate network formation energy (E2), and interaction energy between the aggregates (Eint) had a relationship of E2 = E1 + Eint. The configuration entropy for the aggregate network formation (S2), particle arrangement entropy (S1), and aggregate configuration entropy (Sint) had a relationship of S2 = S1 + Sint. At q > 0, the increase in the aggregate formation energy with the amount of additive indicates the formation of particle groups. At q < 0, the generation of the interaction energy between the aggregates (Eint) suggests that the particle groups interact to form an aggregate network. Similarly, at q > 0, the increase in the arrangement entropy with the amount of additive is related to the arrangement of particles, while at q < 0, the generation of the configuration entropy (Sint) is related to the formation of the particle group network. It was clarified from the multifractal analysis that the formation of particle groups and their network structure are strongly related to the piezoelectric characteristics in this BT/PVDF system. It was revealed that the Eint and Sint obtained from the plots of D(q) and τ(q) vs q of the multifractal analysis could be related to the formation of particle groups (local interaction) and occurrence of network structure (global interaction). Therefore, the plots of D(q) and τ(q) vs q are effective means of characterizing self-organization from the fractal nature and are expected to be applied in more general research fields other than material and condensed matter.

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Material Texture and α-β Phase Transition of Self-assembled BaTiO<sub>3</sub>/Polyvinylidene Fluoride Composites

Cited by 4 publications

References 20 publications

Thermal conductivities and complex network properties of fractal self-assembled/self-organized texture in binary composite materials

Thermal conductivities and complex network properties of fractal self-assembled/self-organized texture in binary composite materials

Development of a piezo biosensor for pathogen-specific biopolymer detection using a self-assembly barium titanate/polyvinylidene fluoride composite material

Fractal texture and dielectric properties of BaTiO3/poly-vinylidene fluoride composites

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