Pashayi Kamyar, Fard Hafez Raeisi, Lai Fengyuan, Iruvanti Sushumna, Plawsky Joel, Borca-Tasciuc Theodorian
School of Science, Engineering, and Technology, Pennsylvania State University, Middletown, PA 17057-4846, USA.
Nanoscale. 2014 Apr 21;6(8):4292-6. doi: 10.1039/c3nr06494h. Epub 2014 Mar 11.
We report the formation of high aspect ratio nanoscale tree-shape silver networks in epoxy, at low temperatures (<150 °C) and atmospheric pressures, that are correlated to a ∼200 fold enhancement of thermal conductivity (κ) of the nanocomposite compared to the polymer matrix. The networks form through a three-step process comprising of self-assembly by diffusion limited aggregation of polyvinylpyrrolidone (PVP) coated nanoparticles, removal of PVP coating from the surface, and sintering of silver nanoparticles in high aspect ratio networked structures. Controlling self-assembly and sintering by carefully designed multistep temperature and time processing leads to κ of our silver nanocomposites that are up to 300% of the present state of the art polymer nanocomposites at similar volume fractions. Our investigation of the κ enhancements enabled by tree-shaped network nanocomposites provides a basis for the development of new polymer nanocomposites for thermal transport and storage applications.
我们报道了在低温(<150°C)和大气压下,在环氧树脂中形成了高纵横比的纳米级树形银网络,与聚合物基体相比,该网络使纳米复合材料的热导率(κ)提高了约200倍。该网络通过三步过程形成,包括聚乙烯吡咯烷酮(PVP)包覆的纳米粒子通过扩散限制聚集进行自组装、从表面去除PVP涂层以及在高纵横比网络结构中烧结银纳米粒子。通过精心设计的多步温度和时间处理来控制自组装和烧结,使得我们的银纳米复合材料的κ在相似体积分数下高达现有聚合物纳米复合材料的300%。我们对树形网络纳米复合材料实现的κ增强的研究为开发用于热传输和存储应用的新型聚合物纳米复合材料提供了基础。