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基于石墨烯的聚合物纳米复合材料的热扩散率测绘。

Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites.

机构信息

i-Composites lab, School of Materials, University of Manchester, Manchester, 79 Sackville street, M1 3NJ, UK.

Aerospace Research Institute, University of Manchester, Manchester, 79 Sackville street, M1 3NJ, UK.

出版信息

Sci Rep. 2017 Jul 17;7(1):5536. doi: 10.1038/s41598-017-05866-0.

Abstract

Nanoparticle dispersion is widely recognised as a challenge in polymer nanocomposites fabrication. The dispersion quality can affect the physical and thermomechanical properties of the material system. Qualitative transmission electronic microscopy, often cumbersome, remains as the 'gold standard' for dispersion characterisation. However, quantifying dispersion at macroscopic level remains a difficult task. This paper presents a quantitative dispersion characterisation method using non-contact infrared thermography mapping that measures the thermal diffusivity (α) of the graphene nanocomposite and relates α to a dispersion index. The main advantage of the proposed method is its ability to evaluate dispersion over a large area at reduced effort and cost, in addition to measuring the thermal properties of the system. The actual resolution of this thermal mapping reaches 200 µm per pixel giving an accurate picture of graphene nanoplatelets (GNP) dispersion. The post-dispersion treatment shows an improvement in directional thermal conductivity of the composite of up to 400% increase at 5 wt% of GNP. The Maxwell-Garnet effective medium approximation is proposed to estimate thermal conductivity that compare favourably to measured data. The development of a broadly applicable dispersion quantification method will provide a better understanding of reinforcement mechanisms and effect on performance of large scale composite structures.

摘要

纳米粒子分散是聚合物纳米复合材料制备中的一个公认难题。分散质量会影响材料体系的物理和热机械性能。定性的透射电子显微镜,虽然繁琐,但仍然是分散特性表征的“金标准”。然而,在宏观尺度上定量地描述分散状态仍然是一个困难的任务。本文提出了一种使用非接触式红外热成像映射来定量描述分散状态的方法,该方法通过测量石墨烯纳米复合材料的热扩散率(α)并将α与分散指数相关联来实现。与传统方法相比,该方法的主要优势在于能够以较低的成本和努力评估大面积的分散状态,同时测量系统的热性能。这种热映射的实际分辨率达到了每个像素 200μm,能够准确地描绘出石墨烯纳米片(GNP)的分散状态。经过分散处理后,复合材料的定向热导率提高了 400%,在添加 5wt%的 GNP 时达到了最高值。本文提出了一种 Maxwell-Garnet 有效介质近似方法来估计热导率,该方法与测量数据相比表现良好。开发一种广泛适用的分散量化方法将有助于更好地理解增强机制及其对大型复合材料结构性能的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1478/5514039/9666cdc6a879/41598_2017_5866_Fig1_HTML.jpg

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