Physical aspects of self-organization processes in composites. 1. Simulation of percolation clusters of phases and of inner boundaries

TL;DR

This paper explores how percolation models and Monte Carlo simulations can predict the formation and properties of composite materials by analyzing cluster structures and boundaries during early development stages.

Contribution

It introduces a novel approach using Monte Carlo methods to simulate cluster and boundary parameters in composite materials, aiding understanding of their formation.

Findings

Monte Carlo method effectively models cluster parameters

Inner boundary properties influence composite behavior

Early structure formation impacts final material properties

Abstract

A range of percolation models of cluster systems of composites is discussed. In the models the parameters of the clusters of a substance and inner boundaries were obtained by the Monte Carlo method, and the possibility of affecting the properties of composite materials at the early stages of structure formation was studied.