Influence of electron beam treatment of jute on the thermal properties of random and two-directional jute/poly(lactic acid) green composites
Source abstract
Abstract
In the present study, randomly aligned jute fiber/poly(lactic acid) (PLA) and two-directionally aligned jute fabric/PLA green composites with jute (50% by weight) treated with electron beam at different dosages (0, 5, 10, 30, 50, and 100 kGy) were fabricated by compression molding technique and the effect of electron beam treatment on their thermal properties was investigated in terms of thermal expansion, thermal stability, dynamic mechanical thermal property, and heat deflection temperature (HDT). The dynamic storage modulus and HDT of neat PLA were significantly increased by incorporating jute fibers or fabrics into PLA, whereas the coefficient of thermal expansion (CTE) and the damping property were decreased, reflecting the enhancement in the interfacial adhesion between the jute and the PLA by electron beam treatment with an optimal dosage of 10 kGy and the reinforcing effect by jute. The result exhibited that the thermal stability, storage modulus, and HDT of jute/PLA green composites were highest with the electron beam irradiation of jute at 10 kGy and lowest at 100 kGy, whereas the CTE and tan δ were lowest at 10 kGy and highest at 100 kGy. The thermal behavior of random jute/PLA green composites shows a similar tendency to that of 2D jute/PLA counterparts and the influence of electron beam irradiation on the thermal properties studied was consistent with each other. The thermomechanical analysis, dynamic mechanical thermal analysis, thermogravimetric analysis, and HDT results were in agreement with each other, showing a comparable effect of electron beam irradiation on composites thermal characteristics.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Natural Fiber Reinforced Composites · biodegradable polymer synthesis and properties · Nanocomposite Films for Food Packaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (25)
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