Reliable predictive models are essential for polymer-based composites to predict mechanical properties and reduce costly trial-and-error manufacturing. The classical Rule of Mixture (ROM) model can predict the tensile properties of synthetic fiber-reinforced polymer composites, but it lacks accuracy for natural fiber-reinforced composites due to natural fiber’s inherent variability. This study proposes improved ROM models considering molding temperature and fiber mass fraction affecting mechanical property of jute fabric polylactic acid (PLA) composites. Plain jute fabric was alkali-treated (10 wt% NaOH, 2 h), and jute/PLA composites were fabricated by compression molding through alternate stacking of PLA with unidirectional jute yarns or plain-woven jute fabrics at different molding temperatures and fiber mass fractions. Below PLA’s melting point (160°C), insufficient matrix flowability hinders fiber impregnation, resulting in decreased composite strength. Conversely, excessively high temperatures induce thermal degradation of jute fibers, compromising the mechanical integrity of the composite, as the tensile strength of jute fabric/PLA composites decreases from 51.46 to 18.56 MPa when molding temperature increased from 160 to 200°C. The influence of fiber mass fraction on tensile strength of jute fabric/PLA composites exhibits a two-stage pattern. Increasing fiber mass fraction initially enhances the tensile strength of composites, but when it exceeds 26%, the tensile strength decreases due to inadequate impregnation. The improved ROM model introduced temperature influence parameter and porosity factors to consider the influence mechanisms of temperature and volume fraction on composite material properties, significantly enhancing prediction accuracy for the tensile strength of jute/PLA composites.
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