中国塑料 ›› 2020, Vol. 34 ›› Issue (7): 49-55.DOI: 10.19491/j.issn.1001-9278.2020.07.008

• 加工与应用 • 上一篇    下一篇

高填充改性复合材料导热预测模型的建立及应用

王杨慧, 马玉录, 谢林生(), 宋果, 朱惠豪   

  1. 华东理工大学绿色高效过程装备与节能教育部工程研究中心,上海 200237
  • 收稿日期:2020-01-09 出版日期:2020-07-26 发布日期:2020-07-26

Establishment and Application of Thermally Conductive Prediction Model for High‑Filled Modified Composites

Yanghui WANG, Yulu MA, Linsheng XIE(), Guo SONG, Huihao ZHU   

  1. Engineering Center of Efficient Green Process Equipment and Energy Conservation of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
  • Received:2020-01-09 Online:2020-07-26 Published:2020-07-26
  • Contact: Linsheng XIE E-mail:lsxie@ecust.edu.cn

摘要:

在对高填充改性复合材料导热过程进行研究的基础上,建立了基于串并联/并串联模型并考虑了界面热阻作用的高填充改性复合材料导热预测模型。借助于双转子连续混炼机制备两种氧化铝粒径不同填充量的聚丙烯/氧化铝(PP/Al2O3)复合材料,运用激光导热仪对其导热性能进行了表征,并与模型预测结果进行了对比。结果表明,所建立的模型对高填充复合材料的导热性能的预测具有较高的准确性;当氧化铝填充量较低时,模型中的界面热阻因子最高;随着氧化铝填充量增加,界面热阻因子显著降低;当氧化铝填充量继续增加时,界面热阻因子逐渐降低并趋于稳定;高填充量下相同制备工艺下同种填充改性复合材料的界面热阻近似相同。

关键词: 导热预测模型, 导热复合材料, 氧化铝, 界面热阻

Abstract:

On the basis of the research of the thermal conduction process of high?filled modified composites, the thermally conductive prediction model for high?filled modified composites which considering the effect of the interfacial thermal resistance at the same time was established based on the series?parallel/parallel?series model. Polypropylene/alumina (PP/Al2O3) composites with two types of alumina particle sizes under different loadings were prepared by a two?rotor continuous mixer. The thermal conductivity of the composites was characterized by a laser thermal conductivity instrument and then was compared with the model prediction results. The results show that: The established model has higher accuracy in predicting the thermal conductivity of the highly filled composites. The interfacial thermal resistance factor in the model is highest when the alumina loading is low; the factor significantly reduce as the alumina loading reaches to a certain level; finally, the factor remains stable when the alumina loading continues to increase. The interfacial thermal resistance of the same filled and modified composite prepared by the same preparation process under high filling capacity is approximately the same.

Key words: thermally conductive prediction model, thermally conductive composite, alumina, interfacial thermal resistance

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