Junpu Wang

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.

Oct 6, 2024 | mdpi.com | Junpu Wang |Yuxuan Wang |Xiaozhuang Yue |Liupeng Di

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Apr 29, 2024 | ceramics.onlinelibrary.wiley.com | Li Zhou |Jiawei Zhang |Yi Tian |Junpu Wang

CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. REFERENCES 1. Principles of abrasive wear. Wear. 1974, 28: 69–88. 2. The relationship between the abrasive wear resistance, hardness and microstructure of ferritic materials. Wear. 1974, 28: 59–68. 3, . The relationship between the abrasion resistance and the hardness of WC-Co alloys. J S Afr I Min Metall. 2004, 104: 579–582. 4, , , .

Feb 26, 2024 | dx.doi.org | Yi Tian |Junpu Wang |Jiawei Zhang |Li Zhou

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.