Preparation of PP/SCF thermally conductive composites with forced-assembled networks by multiple injection compression molding

被引:8
作者
Du, Qingyuan [1 ]
Guo, Mengli [1 ]
Zhang, Hao [1 ]
Liu, Ying [2 ]
Wu, Daming [1 ,2 ]
Ru, Yue [3 ]
Gao, Dali [3 ]
Chen, Ning [4 ]
Sun, Jingyao [1 ,2 ,4 ]
机构
[1] Beijing Univ Chem Technol, Coll Mech & Elect Engn, Beijing 100029, Peoples R China
[2] Beijing Univ Chem Technol, State Key Lab Organ Inorgan Composites, Beijing, Peoples R China
[3] SINOPEC Beijing Res Inst Chem Ind, Beijing 100013, Peoples R China
[4] Sichuan Univ, State Key Lab Polymer Mat Engn, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
FABRICATION; POLYPROPYLENE; OPTIMIZATION; PERFORMANCE; PARAMETERS; GRAPHENE;
D O I
10.1002/app.52826
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
A multiple injection compression molding (ICM) method was proposed on the basis of injection molding and applied for the preparation of polypropylene/short carbon fiber (PP/SCF) high thermally conductive composites in this article. During each injection compression cycle, the thickness of composite sample would be reduced effectively for better SCF orientation along the flow direction. Moreover, the original loose self-assembled SCF networks obtained from injection process can furtherly transfer into much compact ones under the effect of compression force. The performance differences among SCF/PP composites prepared with one-time injection molding (IM), multiple IM, and multiple ICM were also investigated. The SCF/PP composite sample prepared with multiple ICM method presented superior comprehensive performance, similar to 100% and 28% enhancements in thermal conductivity and tensile strength compared with the one-time IM sample. We believe the multiple ICM method can provide a new idea for industrial production of functional polymer composites, especially for thermoplastic polymer composite.
引用
收藏
页数:14
相关论文
共 57 条
[1]   Thermally conductive polymer nanocomposites for filament-based additive manufacturing [J].
Almuallim, Basel ;
Harun, W. S. W. ;
Al Rikabi, Ihab Jabbar ;
Mohammed, Hussein A. .
JOURNAL OF MATERIALS SCIENCE, 2022, 57 (06) :3993-4019
[2]   A facile approach to fabricate flexible capacitance sensor based on Spatial Confining Forced Network Assembly method for detecting and analyzing large deformation of damping rubber [J].
Bai, Xiaofeng ;
Fu, Hongbo ;
Liu, Ying ;
Sun, Jingyao ;
Yan, Kexin ;
Gao, Xiaolong ;
Xu, Hong ;
Yang, Zhenzhou ;
Wu, Daming ;
Huang, Yao .
JOURNAL OF APPLIED POLYMER SCIENCE, 2022, 139 (21)
[3]   Viscoelastic modeling and simulation for polymer melt flow in injection/compression molding [J].
Cao, Wei ;
Shen, Yaqiang ;
Wang, Pengfei ;
Yang, Hengxiao ;
Zhao, Shaokun ;
Shen, Changyu .
JOURNAL OF NON-NEWTONIAN FLUID MECHANICS, 2019, 274
[4]   Efficient construction and online evaluation of conductive networks within polydimethylsiloxane composites via continuous SCFNA method [J].
Du, Yu ;
Zhang, Qi ;
Huang, Yao ;
Xu, Hong ;
Bai, Xiaofeng ;
Zhang, Xiaowen ;
Zhang, Hao ;
Wu, Daming ;
Sun, Jingyao .
COMPOSITES COMMUNICATIONS, 2021, 24
[5]  
Ehsan R., 2021, SOL ENERGY, V225, P842
[6]   Facile Method to Fabricate Highly Thermally Conductive Graphite/PP Composite with Network Structures [J].
Feng, Changping ;
Ni, Haiying ;
Chen, Jun ;
Yang, Wei .
ACS APPLIED MATERIALS & INTERFACES, 2016, 8 (30) :19732-19738
[7]  
Fu H., 2020, ES Mater. Manuf, V8, P3, DOI [10.30919/esmm5f713, DOI 10.30919/ESMM5F713, https://doi.org/10.30919/esmm5f713]
[8]   A continuous spatial confining process towards high electrical conductivity of elastomer composites with a low percolation threshold [J].
Fu, Hongbo ;
Xu, Hong ;
Liu, Ying ;
Sun, Jingyao ;
Zhuang, Jian ;
Gao, Xiaolong ;
McNally, Tony ;
Wu, Daming ;
Huang, Yao ;
Wan, Chaoying .
COMPOSITES SCIENCE AND TECHNOLOGY, 2022, 218
[9]  
Giorgio R., 2020, ADV POLYM TECH, DOI [10.1155/2020/1421287, DOI 10.1155/2020/1421287]
[10]   Highly Thermally Conductive 3D Printed Graphene Filled Polymer Composites for Scalable Thermal Management Applications [J].
Guo, Haichang ;
Zhao, Haoyuan ;
Niu, Hongyu ;
Ren, Yanjuan ;
Fang, Haoming ;
Fang, Xingxing ;
Lv, Ruicong ;
Maqbool, Muhammad ;
Bai, Shulin .
ACS NANO, 2021, 15 (04) :6917-6928