<p>This study investigates the influence of cellulose nanocrystals (CNCs) on the creep behavior and mechanical performance of epoxy-based nanocomposites, with a focus on optimizing CNC loading for enhanced durability. CNCs were extracted from cotton linters via acid hydrolysis and incorporated into an epoxy matrix (DGEBA-based KER 828) at varying weight percentages (0.5, 1.0, and 1.5 wt%) using a combination of mechanical and ultrasonic dispersion techniques. Tensile and creep tests were conducted on bulk epoxy to evaluate the mechanical and viscoelastic properties. Results indicate that 1.0 wt% CNC loading yields optimal dispersion, improving tensile strength by 20% and elastic modulus by 21% compared to neat epoxy, while also enhancing creep resistance by reducing the Norton-Bailey creep coefficient A by 14%. However, at 1.5 wt%, CNC agglomeration induces stress concentration, leading to reduced toughness and diminished creep performance. A modified Norton-Bailey model incorporating a CNC weighting function was developed to predict the creep behavior of nanocomposites, validated through experimental data with less than 10% error. The weighting function, derived from normalized creep rates, peaks at 0.987 wt% CNC, closely aligning with the experimentally determined optimum. These findings highlight the critical role of nanoparticle dispersion and interfacial adhesion in determining long-term performance, establishing 1.0 wt% CNC as the optimal threshold for sustainable, high-performance composites in structural applications.</p>

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A weighting function approach to modeling the creep behavior of cellulose nanocrystal epoxy nanocomposites

  • Ehsan Ataei,
  • Younes Mohammadi,
  • Ali Akbar Pasha Zanoosi,
  • Ata Khabaz-Aghdam

摘要

This study investigates the influence of cellulose nanocrystals (CNCs) on the creep behavior and mechanical performance of epoxy-based nanocomposites, with a focus on optimizing CNC loading for enhanced durability. CNCs were extracted from cotton linters via acid hydrolysis and incorporated into an epoxy matrix (DGEBA-based KER 828) at varying weight percentages (0.5, 1.0, and 1.5 wt%) using a combination of mechanical and ultrasonic dispersion techniques. Tensile and creep tests were conducted on bulk epoxy to evaluate the mechanical and viscoelastic properties. Results indicate that 1.0 wt% CNC loading yields optimal dispersion, improving tensile strength by 20% and elastic modulus by 21% compared to neat epoxy, while also enhancing creep resistance by reducing the Norton-Bailey creep coefficient A by 14%. However, at 1.5 wt%, CNC agglomeration induces stress concentration, leading to reduced toughness and diminished creep performance. A modified Norton-Bailey model incorporating a CNC weighting function was developed to predict the creep behavior of nanocomposites, validated through experimental data with less than 10% error. The weighting function, derived from normalized creep rates, peaks at 0.987 wt% CNC, closely aligning with the experimentally determined optimum. These findings highlight the critical role of nanoparticle dispersion and interfacial adhesion in determining long-term performance, establishing 1.0 wt% CNC as the optimal threshold for sustainable, high-performance composites in structural applications.