Scholarlink

<p>Polymer nanocomposites are widely used in industrial applications due to their enhanced mechanical properties, cost-effectiveness, and ease of fabrication. However, accurately predicting their elastic modulus remains a challenge due to the complex interactions between the polymer matrix and nanofillers. Conventional two-phase models, such as Mori–Tanaka and Halpin–Tsai, overlook the influence of the interphase region, leading to discrepancies between theoretical and experimental results. This study introduces a three-phase model to improve prediction accuracy for polybutylene terephthalate (PBT) reinforced with alumina and zirconia nanofillers. Experimental results demonstrated that the hybrid nanocomposites exhibited a 21% increase in elastic modulus compared to pure PBT, with strain values reduced by 18%, indicating superior reinforcement. Morphological analysis confirmed a uniform dispersion of nanofillers, contributing to enhanced mechanical performance. The proposed model showed a deviation of less than 6% from experimental data, validating its effectiveness. This research provides a more accurate predictive framework for optimizing polymer nanocomposites in load-bearing applications.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enhanced predictive modeling of polymer nanocomposites: a refined interface approach for accurate Young’s modulus and strain estimation

  • 期刊论文

  • 发表日期：

    2025年5月1日

查看全文
  • Jeenendra Kumar Shiv,
  • Sanjiv Kumar Tiwari,
  • Kaushik Kumar,
  • Sudeepan Jayapalan

摘要

Polymer nanocomposites are widely used in industrial applications due to their enhanced mechanical properties, cost-effectiveness, and ease of fabrication. However, accurately predicting their elastic modulus remains a challenge due to the complex interactions between the polymer matrix and nanofillers. Conventional two-phase models, such as Mori–Tanaka and Halpin–Tsai, overlook the influence of the interphase region, leading to discrepancies between theoretical and experimental results. This study introduces a three-phase model to improve prediction accuracy for polybutylene terephthalate (PBT) reinforced with alumina and zirconia nanofillers. Experimental results demonstrated that the hybrid nanocomposites exhibited a 21% increase in elastic modulus compared to pure PBT, with strain values reduced by 18%, indicating superior reinforcement. Morphological analysis confirmed a uniform dispersion of nanofillers, contributing to enhanced mechanical performance. The proposed model showed a deviation of less than 6% from experimental data, validating its effectiveness. This research provides a more accurate predictive framework for optimizing polymer nanocomposites in load-bearing applications.