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首页> 外文期刊>Chemical Engineering Science >Controlled peroxide-induced degradation of polypropylene in a twin-screw extruder: Change of molecular weight distribution under conditions controlled by micromixing
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Controlled peroxide-induced degradation of polypropylene in a twin-screw extruder: Change of molecular weight distribution under conditions controlled by micromixing

机译:在双螺杆挤出机中受控的过氧化物诱导的聚丙烯降解:在微混合控制的条件下分子量分布的变化

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Controlled degradation of polypropylene (PP) by peroxide was carried out in a laboratory twin-screw extruder ZSK 18 and the change in Molecular Weight Distribution (MWD) was measured using Size Exclusion Chromatography-Differential Viscosimetry (SEC-DV). The MWD results were compared to MWD predictions from a kinetic model developed and validated in earlier work (Iedema et al., 2001) assuming ideal mixing. Clear deviations were observed - the measured MWD was broader - that could only be explained by unaccounted heterogeneity in the extruder. Incorporating the relatively narrow Residence Time Distribution (RTD) in the twin-screw extruder did not lead to MWD broadening. In contrast, the exponential RTD of a Continuously Stirred Tank Reactor (CSTR) yielded a MWD widening that was too extreme. A new micromixing model, based on the striation thinning model by Ottino (1980), was constructed partly based on Monte Carlo sampling using a monomer scission probability (Tobita, 1996). This model was adapted to the geometry of the extruder entrance and the peroxide feed practice consisting of introducing a few per thousand peroxide-rich PP particles among pure PP particles. This micromixing model indeed allowed obtaining very good matches between measured and modeled MWD. Under different experimental conditions with respect to initial PP quality and amount of peroxide added, with a constant value for the striation thinning parameter the errors between measured and predicted MWD were around 5%.
机译:在实验室双螺杆挤出机ZSK 18中进行过氧化物控制的聚丙烯(PP)降解,并使用尺寸排阻色谱-差示粘度法(SEC-DV)测量分子量分布(MWD)的变化。假设理想混合,将MWD结果与根据动力学模型开发并验证的MWD预测结果进行了比较(Iedema等,2001)。观察到明显的偏差-测量的MWD范围更广-只能用挤出机中未解释的异质性来解释。在双螺杆挤出机中加入相对较窄的停留时间分布(RTD)不会导致MWD加宽。相比之下,连续搅拌釜反应器(CSTR)的指数RTD导致MWD加宽太极端了。一种新的微混合模型是基于Ottino(1980)的条纹稀疏模型而建立的,该模型的一部分是基于蒙特卡罗抽样,采用了单体断裂概率(Tobita,1996)。该模型适用于挤出机入口的几何形状和过氧化物进料的做法,包括在纯PP颗粒中引入每千个富过氧化物的PP颗粒。这种微混合模型确实允许在测量和建模的MWD之间获得非常好的匹配。在有关初始PP质量和过氧化物添加量的不同实验条件下,对于条纹稀释参数恒定的值,测得的和预测的MWD之间的误差约为5%。

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