journal article·2022-01

Computational prediction of microstructures in α‐alumina/PMMA composites and its experimental verification

Ken Saito, Kimiyasu Sato, Yuichi Tominaga, Yusuke Imai

Polymer Composites· Volume 43· Issue 1
Publisher page

Abstract

Abstract Processing, structure, property, and performance have been acknowledged in a linearly linked picture for materials manufacturing. It is promising to harness the processing‐structure relationship to accelerate the development of functional materials. In the present study, we attempted to predict microstructures of a polymer composite via computational simulations, because functions of the polymer composite would respond to its microstructures. A program KAPSEL, which has been widely utilized to calculate dynamics of solid particles in coherent fluids, was slightly amended to handle parameters related to interfacial science. Constituents of the target polymer composite were α‐alumina and poly(methyl methacrylate). When proper parameter values are given, the program yielded microstructural features similar to those found in an experiment. Nimbleness and affordability of the simulation scheme would allow us to omit experimental trial‐and‐error for functional polymer composites.
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Research context

OpenAlex topics: Polymer Nanocomposites and Properties · Composite Material Mechanics · Dielectric materials and actuators

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Association of High‐Throughput Design and Development for Advanced Functional Materials (ADMAT), Central 2 Tsukuba Japan

National Institute of Advanced Industrial Science and Technology (AIST) Nagoya Japan

Funding

New Energy and Industrial Technology Development Organization

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