Mesoscopic modeling-based multi-scale prediction method for hygrothermal aging performance of plant fiber/polylactic acid composite material

Abstract

The invention relates to a mesoscopic modeling-based multi-scale prediction method for the hygrothermal aging performance of a plant fiber / polylactic acid composite material. The method comprises the following steps: 1) carrying out an aging test on the plant fiber / polylactic acid composite material; 2) establishing a rule function that the water absorption of each aging material changes along with the aging time at different temperatures; (3) establishing a rule function that the strength of each component changes along with the aging time at different temperatures; 4) respectively establishing relation functions among the strength of each component, the water absorption rate and the temperature; (5) building a composite material microcosmic RVE model; the method comprises the following steps of 1, environment degradation factor definition and introduction, 7, composite material elastic performance calculation, 8, composite material failure strength calculation and 9, macroscopic composite material damp-heat aging performance prediction.The multi-scale and multi-factor coupling effect is fully considered, and the model and method for predicting the mechanical performance after aging are provided for practical application of the green composite material.

Description

technical field [0001] The invention belongs to the technical field of detection of composite materials, and in particular relates to a multi-scale prediction method for hygrothermal aging performance of plant fiber / polylactic acid composite materials based on mesoscopic modeling. Background technique [0002] Degradability is one of the most important advantages of plant fiber reinforced composites. However, due to the hygroscopicity of plant fibers and the degradable properties of polylactic acid, its durability in service environments such as humidity and heat still faces great challenges. At present, research on the aging of composite materials for automotive service conditions mainly focuses on traditional synthetic fiber-reinforced resins, such as carbon fiber, glass fiber-reinforced epoxy resin, and phenolic resin. For plant fiber reinforced polylactic acid composites, due to the unique hydrophilicity and typical multi-scale and multi-level microstructure of plant fi...

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Problems solved by technology

[0004] Due to the hydrophilicity and complex structural characteristics of plant fibers, as well as the degradability of the polylactic acid matrix, the long-term humid and hot environment often causes the performance of each component (fiber, matrix and fiber-matrix interface) in the composite material to change. At present, most of the research on aging prediction models and methods only focuses on the fiber and matrix, ignoring the fiber / matrix self-degradation and the interface separation phenomenon caused by it, and cannot fully analyze the short plant fiber reinforcement from the micro-fine-macro level multi-scale response. Influence of fiber, matrix and interface component decay on the mechanical properties of materials in composite materials

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