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Optimisation of Formulation for Starch Modified Natural Rubber Composites by Using Response Surface Methodology

机译:用响应面法测定淀粉改性天然橡胶复合材料的制剂优化

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Starch modified natural rubber vulcanisates were prepared by the melt compounding method using a two-roll mill at a constant starch loading of 20 phr. Four formulation parameters consisted of black filler, white filler, silane coupling agent (SCA) and glycerol content in the composites which were optimised using two-level factorial design via response surface methodology (RSM). The cure characteristics and rebound resilience were selected as the responses. The significance of the factors and interaction were analysed using ANOVA and the model's ability to represent the system was confirmed using the constant of determination, R~2 for a value above 0.90. The R~2 values for all responses were obtained in the range between 0.96 and 0.99 which are close to the union (R~2 = 1). The final combination of factors used to achieve the highest rebound resilience and cure characteristics were with a high black filler loading of 60 phr and high glycerol of 5 % loading. These findings were further supported by morphological the characteristics observed under scanning electron microscopy (SEM). Therefore, the chemical modification using both glycerol and SCA was proven to improve the cure characteristics and rebound resilience value through the enhancement of the interfacial interaction between the starch and natural rubber (NR) particles. It is expected that the findings in this study will be useful for rubber product manufacturers to explore the possibility of producing biodegradable products in the future.
机译:通过在20phr的恒定淀粉负载下使用双辊磨机制备淀粉改性天然橡胶硫化酸盐。四种配方参数由黑色填充剂,白色填充剂,硅烷偶联剂(SCA)和甘油含量组成,在复合材料中使用双层阶段方法(RSM)进行了优化的复合材料中优化。选择治愈特征和反弹弹性作为回应。使用ANOVA分析因子和相互作用的重要性,并且使用常数测定的恒定来确认模型的代表系统的能力,值为0.90。所有响应的R〜2值在0.96和0.99之间的范围内,其靠近联合(R〜2 = 1)。用于实现最高反弹弹性和固化特性的因素的最终组合具有60phr和高甘油的高黑色填充剂,5%负载。通过在扫描电子显微镜(SEM)下观察到的形态学,进一步支持这些发现。因此,证明使用甘油和SCA的化学改性以通过提高淀粉和天然橡胶(NR)颗粒之间的界面相互作用来改善固化特性和反弹弹性值。预计本研究中的调查结果将对橡胶产品制造商有用,以探索未来生产可生物降解产品的可能性。

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