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

• Processing and Application • Previous Articles     Next Articles

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

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

CLC Number: