聚合物加工中微纳导电网络构筑及其传感器应用研究进展

设计和构筑有序微纳结构导电网络是聚合物基导电复合材料(CPC)加工中的关键问题,对于降低复合材料的逾渗阈值,提高其电导率和电阻响应灵敏性具有重要意义。本文综述了近年来CPC材料加工中利用双逾渗网络构筑法、隔离结构构筑法、气凝胶模板法、乳液模板法、3D打印法在聚合物基体中构建微纳导电网络及其在柔性传感器中的应用研究进展,并对未来CPC材料及其柔性传感器制备的加工新方法进行了展望。     

具有隔离结构的聚丙烯/碳纳米管复合材料的制备及电磁屏蔽性能

通过共挤出包覆-热压法制备了具有隔离结构的聚丙烯(PP)/碳纳米管(CNTs)电磁屏蔽复合材料。 其中,CNTs随机分布于PP基体中形成导电相,该导电复合物作为包覆层包敷在纯PP颗粒表面,形成包覆复合粒子,经热压后形成隔离导电网络。 结果表明,所制备的隔离结构复合材料呈现良好的导电性能,可获得较低的导电逾渗值0.28%(体积分数);在CNTs质量分数为5.6%时,该复合材料电磁屏蔽性能达到25.6 dB,同时具有良好的力学性能。 本文结果表明,共挤出包覆-热压法制备隔离结构导电复合材料方法简单可控、绿色环保,对开发高性能电磁屏蔽复合材料具有重要指导意义。     

聚丙烯/石墨纳米复合材料的导电性能研究

磨盘碾磨固相剪切复合技术(S3C)是制备聚合物 石墨导电复合材料的有效途径,所得聚丙烯 膨胀石墨复合材料具有纳米插层复合结构,石墨纳米片层的相互搭接可形成导电网络,具有纳米间隙的石墨插层结构可形成隧道电流,从而大幅度降低复合体系的导电逾渗阈值,在低填充量实现聚合物复合材料高电导性,与熔体共混相比,导电逾渗阈值由4 .3vol%降低到0 . 5 5vol% ,在石墨含量为4 .0 1vol%时,电导率提高10个数量级.     

通过微观形态控制降低导电高分子复合材料逾渗值的研究进展

降低复合型导电高分子材料的逾渗值是实现材料低成本化和高性能化的关键.这方面的研究一直以来都受到学术界和产业界的广泛关注.本文介绍了近年来通过微观形态控制手段降低导电高分子复合材料逾渗值的研究状况.文章将现有的形态控制方法归纳为双逾渗方法、隔离分布方法、原位微纤方法、自组装方法等七大类,并从微观形态实现机理、形态与电性能关系、应用前景等方面对这些方法进行了讨论.此外,本文还对该研究领域未来发展趋势作了展望.     

碳系导电填料混杂填充聚合物共混体系的导电逾渗模型

以排除体积理论为基础,提出了3种碳系导电填料混杂填充聚合物共混体系的导电逾渗模型,并利用三维图和二维图对导电逾渗模型进行了描述.选用炭黑、聚团状碳纳米管和阵列碳纳米管3种导电填料,以聚碳酸酯(PC)/苯乙烯-丙烯腈共聚物(SAN)(70∶30,质量比)和PC/聚苯醚(PPO)(70∶30,质量比)2个共混体系进行研究,通过不同导电填料在单一聚合物及其共混物中逾渗值的测量,对导电逾渗模型公式的各个参数进行计算和修正.导电逾渗模型预测结果与样品实际电阻率基本吻合,证明了模型的普适性和实用价值.对于基体相不变的系列聚合物共混体系,可以通过任意一种导电填料在共混体系中的逾渗值及在基体相聚合物中的逾渗值之比得到模型公式的相关参数,从而极大地方便了模型的推广和应用.     

柔性导电高分子复合材料在应变传感器中的应用*

柔性和可穿戴传感器最近十几年来的发展,使得它们在个性化医疗、人机交互和智能机器人等方面拥有良好的应用前景。由导电材料和弹性聚合物组成的柔性导电高分子复合材料具有高的可拉伸性、良好的柔韧性、优异的耐久性等优点,可用来制备传感范围宽、灵敏度高的柔性应变传感器。本文综述了基于柔性导电高分子复合材料的可拉伸应变传感器的分类(填充型、三明治型、吸附型应变传感器)和传感机理(隧穿效应,分离机制,裂纹扩展),并详细介绍了传感器所用复合材料的结构设计,包括内部结构(双逾渗网络、隔离、多孔、“砖混”结构)、表面结构(微裂纹、褶皱结构)和宏观结构(纤维状、网状、薄膜结构)。内部结构设计可降低材料的逾渗阈值,表面结构设计可提高传感器性能,每个宏观结构都有自己的特点。最后对应变传感器的材料选择、制备工艺、结构设计、附加性能、集成技术和应用方向等方面进行了展望。     

聚甲基丙烯酸甲酯改性碳纳米管及其在聚合物中的应用

本文利用引发剂偶氮二异丁腈(AIBN)在碳纳米管(CNTs)表面引发甲基丙烯酸甲酯(MMA)聚合,使CNTS表面接枝聚甲基丙烯酸甲酯(PMMA),提高CNTs与基体的界面粘结力,改善CNTs在基体中的分散状态。通过熔融共混法制备PVDF/CNTs和PVDF/CNTs-PMMA复合材料。结果表明改性后的CNTs在PVDF中的分散更好,PVDF/CNTs复合材料的导电逾渗阈值为0.7 vol%,PVDF/CNTs-PMMA复合材料的导电逾渗阈值为0.28 vol%,降低了60%。这表明通过对填料化学改性是一种降低复合材料逾渗阈值的有效方法。     

炭黑填充聚丙烯/尼龙6/玻璃纤维复合材料的制备及表征

以聚丙烯(PP)和尼龙6(PA6)的共混物为基体材料,以导电炭黑(CB)和玻璃纤维(GF)作为填料,通过熔融共混的方法制备了导电复合材料。研究了GF和CB质量分数对复合材料热稳定性、导电性能、力学性能和微观形貌的影响。结果表明:CB粒子选择性分散在PA6中,同时PA6包覆在GF表面,通过具有较大长径比的纤维相互搭接形成连续的网络结构,从而显著降低复合材料的逾渗阈值。在相同CB质量分数下(2%),PP/PA6/GF/CB的表面电阻率相对于PP/PA6/CB体系降低了5个数量级。此外,引入GF后,材料的热稳定性和拉伸强度都有所提高。     

高分子基导电复合材料气敏响应机理研究

高分子基气敏导电材料是近年来发展起来的一种新型功能高分子复合材料.本文介绍了以炭黑(CB)为导电填充剂的复合传感材料的气敏响应机理的体积膨胀模型、结晶模型和氢键模型,并讨论了逾渗阀值、CB及聚合物微观结构与性能、以及CB与聚合物和溶剂三者之间相互作用等因素对该类材料气敏响应性的影响.     

石墨烯/天然橡胶复合材料结构与性能研究

采用乳液共混、机械共混及两者并用制备了石墨烯(GNs)/天然橡胶(NR)复合材料,采用扫描电镜(SEM)、X-射线衍射(XRD)仪、高阻仪、动态热机械分析(DMA)仪、万能拉力试验机、热重分析(TG)仪对材料微观结构与宏观性能的相关性进行研究。研究表明:相比于机械共混,乳液共混有助于GNs的均匀分散和导电网络的形成,GNs/NR复合材料表现出较优的机械和导电性能,定伸应力和导电率分别是机械共混法的3倍和100倍;乳液共混后的机械共混则破坏了原有的导电网络,复合材料导电率下降;随后的机械共混打乱了原有的网络结构,并促使了GNs片层的卷曲化,降低了GNs与NR的接触面积,复合材料的综合性能下降。     

MWCNTs与疏水纳米SiO_2填充PMMA/PS共混物的导电与动态流变行为

以多壁碳纳米管(MWCNTs)为导电填料、疏水纳米二氧化硅(SiO2)为非导电填料,填充不相容聚甲基丙烯酸甲酯(PMMA)/聚苯乙烯(PS)(1/1,V/V)共混物,制备(PMMA/SiO2)/(PS/MWCNTs)四元导电高分子复合材料(CPC),研究其导电逾渗与动态流变行为,并与PMMA/(PS/MWCNTs)三元CPC进行对比.发现三元、四元CPC具有类似的导电逾渗行为,且逾渗阈值显著低于PS/MWCNTs二元CPC.在四元CPC中,SiO2粒子可细化相区尺寸,提高熔体模量,但不影响熔体热处理过程中的依时性动态导电逾渗行为.MWCNTs与SiO2均显著影响熔体热处理中的依时性模量逾渗行为,分别缩短、延长四元CPC相粗化起始时间,但均延长相粗化时间区间.     

Comparison between the efficiencies of two conductive networks formed in carbon black-filled ternary polymer blends by different hierarchical structures

Two different types of thermodynamically induced self-assembled hierarchical structures were formed in carbon black (CB)-filled POM/SAN/TPU and POM/SAN/PA6 ternary polymer blends when the minor third polymer components TPU and PA6, which have the highest affinity to CB among the three polymer components, were individually incorporated into CB-filled POM/SAN binary blend: TPU with imbedded CB forms the interphase, while PA6 with imbedded CB forms droplets inside the SAN phase. The efficiencies of the two types of conductive networks formed by these hierarchical structures are compared in terms of electrical percolation threshold. The percolation threshold of CB in POM/SAN (70/30) blend decreases by 59% and 54% when only 5 wt% of POM is replaced by TPU and PA6, respectively. The mechanisms of conductive network formation are different in the two cases and related to their blend morphology, one is double percolation in a tri-continuous blend and the other is triple percolation in a cocontinuous blend.     

Percolation behaviour of ultrahigh molecular weight polyethylene/multi-walled carbon nanotubes composites

The electrical conductivity of polymer/multi-walled carbon nanotubes (MWCNTs) composites in a powder and in a hot-pressed compacted state, prepared by mechanical mixing, was studied. The semicrystalline ultrahigh molecular weight polyethylene (UHMWPE) was used as a polymer matrix. The data clearly evidence the presence of a percolation threshold φ_c at a very small volume fraction of the MWCNTs φ in a polymer matrix, φ_c ≈ 0.0004-0.0007. The ultralow percolation threshold in UHMWPE/MWCNTs thermoplastic composites was explained by high aspect ratio of the nanotubes and their segregated distribution inside the polymer matrix. The method of composite preparation effects the values of percolation threshold concentration φ_c and critical exponent t. A noticeable positive temperature coefficient of resistivity (PTC effect) was observed in the region of temperatures higher than melting point. It was explained by influence of thermal expansion of the polymer matrix and independence from the melting process that is a result of specific structure of conductive phase.     

Segregated network polymer/carbon nanotubes composites

In this work we present the preparation of conductive polyethylene/carbon nanotube composites based on the segregated network concept. Attention has been focused on the effect of decreasing the amount of filler necessary to achieve low resistivity. Using high- and low-grade single-walled carbon nanotube materials we obtained conductive composites with a low percolation threshold of 0.5 wt.% for high-grade nanotubes, about 1 wt% for commercial nanotubes and 1.5 wt% for low-grade material. The higher percolation threshold for low-grade material is related to low effectiveness of other carbon fractions in the network formation. The electrical conductivity was measured as a function of the single-walled carbon nanotubes content in the polymer matrix and as a function of temperature. It was also found that processing parameters significantly influenced the electrical conductivity of the composites. Raman spectroscopy was applied to study single wall nanotubes in the conductive composites.     

Temperature-resistivity characteristics of a segregated conductive CB/PP/UHMWPE composite

A carbon black (CB)/polypropylene (PP)/ultrahigh-molecular-weight polyethylene (UHMWPE) composite with a segregated structure was fabricated by using binary polymer granules as matrices. In preparation, an ethanol-assisted dispersion method was employed to disperse CB particles on the surface of the two polymer granules. The segregated conductive network was then constructed by hot compaction based on the volume exclusion effect of the polymer matrices. The conductive composite shows an ultralow percolation threshold of 0.34 vol.%. In temperature-resistivity test, a double positive temperature coefficient (PTC) effect was observed. In addition, the negative temperature coefficient (NTC) effect was eliminated significantly. These interesting temperature-resistivity behaviors were ascribed to the introduction of the binary polymer matrices and the mobility limitation of CB particles located at the PP/UHMWPE interface. These characteristics were probed by in situ morphology observation in heating process. The present paper provides a novel route for preparing conductive composites with an ultralow percolation threshold, a wider PTC region, and a zero NTC effect.     

Conductive mechanism of polymer/graphite conducting composites with low percolation threshold

Preparation of the conducting composites of polystyrene/expanded graphite via in situ polymerization and investigation of the conductive mechanism were carried out. They are characterized by high conductivity and a low percolation threshold. The electrical conductivity reached 10^?2 S/cm with 3.0 vol % expanded graphite content, whereas the percolation threshold was 1.0 vol %. Optical micrographs revealed the heterogeneous distribution of the graphite particles and the formation of a conductive network in the polymer matrix. A model of primary particle was proposed to interpret the conductive phenomena. The primary particle is the basic conductive unit in the composites that comprises three of the following parts: the graphite particle, the compact‐adsorbed layer, and the wrapping shell. Our model was also used to explain the experimental data in our previous studies on nylon‐6/expanded graphite composites. A low percolation threshold of conducting composites can be also explained according to the model of the primary particle. Furthermore, the theoretical line of conductivity versus primary particle content calculated from the revised Flory's theory fits the experimental data well. © 2002 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys 40: 954–963, 2002     

聚苯胺/尼龙-11共混导电纤维的形态

七十年代后期由于聚乙炔的发现而迅速产生了以共轭高分子为基础的导电高分子学科 ,聚苯胺 (ＰＡｎ)也于 1 984年被ＭａｃＤｉａｒｍｉｄ等重新开发[1 ] .相对于其它共轭高分子而言 ,聚苯胺原料易得、合成简单 ,具有较高的电导率和潜在的溶液、熔融加工可能性 ,同时还有良好的环境稳定性[2～ 5] .以导电高分子为导电剂的导电纤维有其独特的优点 .与颗粒状填料为导电剂不同 ,导电高分子在纺丝拉伸过程中会产生大分子取向 ,形成更多的导电通道 ,纤维的导电性能得到提高 ,导电阈值较小 .因此 ,研究导电组分在材料中的形态分布对研制导电共混复合…     

A Novel Method for Preparing Polyurethane Based Conductive Composites with Low Percolation Threshold

A novel method for preparing conductive carbon black filled polymer composites with low percolation threshold from polyurethane emulsion are reported in this paper. The experimental results indicate that with a rise in carbon black concentration the insulator-conductor transition in the emulsion blended composites occurs at 0.8-1.4vol%. In contrast, the solution blended composites exhibit drastic increase in conductivity at conducting filler fraction as high as 12.3-13.3vol%. It is demonstrated that the composites microstructure rather than chemical structure of the matrix polymer predominantly determines the electrical conduction performance of the composites.