PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 7, 2026Journal of Materials Research and Technology0 citationsOpen Access

Simulation of interphase strength to estimate the tensile strength of cellulose nanocrystal-reinforced polymer nanocomposites

View Full Paper
AMAli Mohammadpour-HaratbarNGNima GharibFSFariborz Sharifianjazi

Key Points

  • The research aims to develop a model for estimating interphase and tensile strengths in cellulose nanocrystal-reinforced polymer nanocomposites.
  • Utilizes the modified Pukanszky model to assess interphase strength.
  • Applies various parameters including CNC length, diameter, volume fraction, and aspect ratio.
  • Compares model predictions with tensile strength data from multiple samples.
  • Predicted interphase strength peaks at 200 MPa under optimal conditions.
  • Tensile strength shows an 800% enhancement at the peak model strength of 9 for specific parameters.
  • Identified parameters, such as interphase thickness and CNC geometry, greatly influence composite strength.

Abstract

This paper presents a simple and novel method for determining the relative strength ( σ R ) and interphase strength ( σ i ) of cellulose nanocrystal (CNC)-based polymer nanocomposites (PNCs). The proposed approach uses the modified Pukanszky model, in which the interaction parameter B reflects the efficacy of load transfer from the matrix to CNCs. The progressed model enables the calculation of interphase properties for various CNC-based PNCs, and its accuracy is validated through comparison with tensile strength data of many samples. This novel methodology is further used to explore how variations in interphase properties and CNC geometry specifically CNC length ( l ), CNC diameter ( d ), CNC volume fraction, interfacial stress transfer parameter ( s ), and interphase thickness ( t ) affect the strengths of interphase and nanocomposite. The results show that σ i increases with higher t and smaller d . A peak value of σ i = 200 MPa is attained under optimized interfacial and geometric conditions ( s = 4 MPa and CNC aspect ratio of 100), whereas σ i = 20 MPa is predicted at weak interfacial interactions ( s < 1 MPa) or low aspect ratios (< 45), confirming the strong sensitivity of σ i to interfacial and CNC-related parameters. For σ R , the model predicts the supreme σ R = 9 (800% enhancement in the PNC strength) when t = 10 nm and d = 3 nm. Optimizing these parameters offers a pathway to improve both interphase quality and overall composite strength. The development of such predictive models may support the rational design of high-performance products for multipurpose applications.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Mohammadpour-Haratbar et al. (2026) studied this question.

synapsesocial.com/papers/69fbe2f2164b5133a91a2420https://doi.org/10.1016/j.jmrt.2026.05.014
Ask AI
Helpful
Bookmark
Share
View Full Paper