Yanjiang Zuo

Nov 24, 2024 | 4spepublications.onlinelibrary.wiley.com | Junpu Wang |Yanjiang Zuo |Xiaozhuang Yue |Yuxuan Wang |Liupeng Di |Minghui Li

Filled rubber has wide applications in industries due to its high temperature and corrosion resistance. Therefore, it is crucial to accurately depict the high-temperature mechanical behavior of the filled rubber. With the expansion of machine learning, the deep learning (DL) algorithm provides a new method to investigate the stress–strain relation of filled rubber.

Apr 3, 2023 | mdpi.com | Junpu Wang |Zhu Wang |Wenzhi Wang |Yanjiang Zuo

Abstract:In this paper, a multiscale analysis method was proposed to simulate carbon nanoparticles (CNPs)−filled polymers which can be strain sensors applied in wearable electronic devices, flexible skin, and health monitoring fields. On the basis of the microstructure characteristics of the composite, a microscale representative volume element model of the CNPs−filled polymer was established using the improved nearest−neighbor algorithm.