The use of natural fillers as reinforcements for polymer plastics takes place in a variety of industrial applications. Henceforth, the use of theoretical models to predict the properties of such bio-composites is essential. In this work, we estimated the Young’s modulus of poly-lactic acid (PLA) bio-composites reinforced with argan nut shell (ANS) chemically treated particles (successive alkali treatment, bleaching and silane treatments) using five theoretical models and compared the predicted results with our prior experimental results. These models allowed us to study the assumed spherical form of the ANS particles and the adhesion/distribution of these particles in a PLA matrix. The results indicated that the ANS chemically treated particles could be considered as spherical particles having good adhesion with the PLA matrix. In addition, three other mathematical models were used to predict Young’s modulus of the ANS chemically treated particles. The results showed that the highest value of Young modulus among the three treatments was obtained for the ANS alkali-bleached particles. In addition, the silane treatment enhanced the adhesion between the ANS particles and the PLA matrix, but decreased the Young’s modulus value compared to the other two treatments.

在许多工业应用中都使用天然填料作为聚合物塑料的增强材料。今后，使用理论模型预测此类生物复合材料的特性至关重要。在这项工作中，我们使用五个理论模型估算了用坚果壳（ANS）化学处理的颗粒（成功的碱处理，漂白和硅烷处理）增强的聚乳酸（PLA）生物复合材料的杨氏模量，并比较了预测结果我们先前的实验结果 这些模型使我们能够研究ANS颗粒的假定球形形式以及这些颗粒在PLA基质中的粘附/分布。结果表明，经ANS化学处理的颗粒可被认为是与PLA基质具有良好粘附性的球形颗粒。此外，使用其他三个数学模型来预测ANS化学处理过的颗粒的杨氏模量。结果表明，在三种处理中，ANS碱漂白颗粒的杨氏模量最高。此外，与其他两种处理相比，硅烷处理提高了ANS颗粒与PLA基质之间的附着力，但降低了杨氏模量。