混合聚合物材料的剪切粘度的估计用于基于螺丝挤压的回收过程建模
Christian Kneidinger1, Emil Wagner1, Manuel Längauer1
1Department of Materials Technology, School of Engineering, University of Applied Sciences Upper Austria, Stelzhamerstr. 23, 4600 Wels, Austria.
Polymers
|May 25, 2024
概括
这项研究提出了一种新方法,可以准确预测聚合物混合物粘度,这对于优化塑料回收过程至关重要. 开发的技术提高了通过挤出模拟聚合物回收利用的效率.
科学领域:
- 材料科学 材料科学 材料科学
- 聚合物风湿学 聚合物风湿学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 对聚合物混合物的精确粘度预测对于优化基于挤压的回收过程至关重要.
- 回收聚合物往往含有杂质,与纯聚合物相比,改变了它们的质性行为.
- 现有的模型需要详细了解材料特性,这些材料在聚合物混合物中是复杂的.
研究的目的:
- 开发一种用于估计二元聚合物混合物的温度和剪切率依赖粘度的新方法.
- 评估不同混合规则的准确性,以预测聚合物混合物粘度.
- 为了比较一种新的基于剪切应力的方法与基于剪切速率的传统方法.
主要方法:
- 基于剪切应力开发一种新的粘度估计方法.
- 评估几个混合规则,以预测可混合,不混合和兼容不混合的聚合物混合物的粘度.
- 拟议方法与基于剪速的方法进行比较.
主要成果:
- 开发的方法准确地预测了相容不混合的聚合物混合物的粘度,其偏差低于5%.
- 混合性聚合物混合物的粘度预测实现了低于3.5%的偏差.
- 基于剪压的方法在预测混合物粘度方面表现出高准确度.
结论:
- 拟议的方法提供了一种可靠的方法来预测各种聚合物混合物的质性行为.
- 这种方法的精确粘度数据可以显著提高聚合物回收的建模和优化.
- 这些发现有助于更高效,更有效地回收聚合物材料.
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