文章摘要
炭黑/碳纳米管并用比对天然橡胶复合材料物理性能和导热性能的影响
Effect of Carbon Black/Carbon Nanotubes Blend Ratio on Physical Properties and Thermal Conductivity of NR Composites
投稿时间:2018-10-31  修订日期:2018-10-31
DOI:10.12136/j.issn.1000-890X.2019.06.0430
中文关键词: 碳纳米管  炭黑  天然橡胶  复合材料  填料网络协同作用  物理性能  导热性能
英文关键词: carbon nanotubes  carbon black  NR  composite  filler network synergistic effect  physical property  thermal conductivity
基金项目:国家自然科学基金资助项目(51606107,51576102);绿色轮胎与橡胶协同创新项目(0200501436)
作者单位E-mail
宋君萍 青岛科技大学 教育部橡塑重点实验室/山东省橡塑重点实验室青岛科技大学 中德科技学院 sjpwzj@163.com 
田开艳 青岛科技大学 机电学院  
李锡腾 青岛科技大学 机电学院  
王一雯 青岛科技大学 机电学院  
马连湘* 青岛科技大学 教育部橡塑重点实验室/山东省橡塑重点实验室青岛科技大学 机电学院 oldhorse@qust.edu.cn 
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中文摘要:
      研究炭黑(CB)/碳纳米管(CNTs)并用比对天然橡胶(NR)复合材料物理性能和导热性能的影响,结果表明:与CB/NR复合材料相比,CB/CNTs/NR复合材料的性能提高;当CB/CNTs并用比为28/7时,复合材料的物理性能最佳、储能模量最大、损耗因子峰值最小、热导率最高。透射电子显微镜分析表明:当CB/CNTs并用比为28/7时,CB与CNTs分散均匀,CNTs无弯曲团聚,良好桥接CB,构成有效的填料网络;当CNTs用量继续增大,CNTs和CB出现团聚现象。NR复合材料的性能与填料网络协同作用密切相关。
英文摘要:
      The effects of the blend ratio of carbon black(CB)/carbon nanotubes(CNTs) on the physical properties and thermal conductivity of natural rubber(NR) composites were studied. The results showed that,the properties of CB/CNTs/NR composites were improved compared with those of CB/NR composites. When the blend ratio of CB/CNTs was 28/7,the physical properties of the composites were the best,the storage modulus was the largest,the loss factor peak value was the lowest,and the thermal conductivity was the highest.It was shown by transmission electron microscopy that when the blend ratio of CB/CNTs was 28/7,CB and CNTs were dispersed uniformly,CNTs were not bent and agglomerated,and the CB aggregates were bridged by CNTs to form a good filler network.When the amount of CNTs continued to increase,a severe agglomeration of CB and CNTs occurred.The properties of the composites were closely related to the filler network synergistic effect.
Author NameAffiliationE-mail
SONG Junping Qingdao University of Science and Technology sjpwzj@163.com 
TIAN Kaiyan Qingdao University of Science and Technology  
LI Xiteng Qingdao University of Science and Technology  
WANG Yiwen Qingdao University of Science and Technology  
MA Lianxiang Qingdao University of Science and Technology oldhorse@qust.edu.cn 
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