基于纳米机器人的石墨烯力学特性的研究

发布时间：2018-06-26 06:11

本文选题：石墨烯 + 纳米机器人　；参考：《哈尔滨工业大学》2015年硕士论文

【摘要】：石墨烯是一种新型的二维碳纳米材料,它由单层碳原子组成,具有优异的物理、化学和机械力学性质,受到了科学家们的普遍关注,具有广泛的研究价值和应用前景。石墨烯的特殊结构决定了其独特的性质,研究石墨烯的粘附、摩擦等力学特性对推进石墨烯的发展有着极其重要的意义。本文使用自主研发的纳米机器人系统测量了不同相对湿度下原子力显微镜(AFM)针尖和单层石墨烯、多层石墨烯与二氧化硅之间的粘附性质,结合JKR弹性接触理论分析得到了它们之间的粘附能,并比较了石墨烯和二氧化硅之间摩擦属性的差异,研究了不同情况下石墨烯/二氧化硅之间的摩擦力成像问题,最后在现有的纳米压痕实验基础上,进行了悬浮石墨烯的压痕实验,通过拟合分析获得了石墨烯样品的杨氏模量和表面预应力。主要研究内容包括以下几个方面:(1)制备石墨烯样品。通过拉曼光谱检测分析了液相超声剥离法和微机械剥离法制备的石墨烯样品的差异,发现微机械剥离法制备的石墨烯样品的质量良好,基本满足研究层次上对石墨烯基本物性的要求。(2)石墨烯粘附性能的测试分析。针对力-位移(FD)多参数扫描模型开发了相应的测试程序,并将其应用到不同相对湿度下AFM探针和样品表面之间的粘附性测试,然后结合JKR粘弹性接触理论分析计算得出了AFM探针和样品表面之间的粘附能。(3)石墨烯摩擦性能的测试分析及摩擦力成像研究。利用摩擦环法测试研究了石墨烯和二氧化硅之间的摩擦属性差异,然后针对该差异开发了相应的摩擦成像程序,并实现了少层石墨烯在二氧化硅基底上、单/双层石墨烯在二氧化硅基底上以及单层石墨烯在石墨烯上的摩擦力成像。(4)压痕测试获得石墨烯样品的杨氏模量。通过微机械剥离法将石墨烯转移到带有阵列孔的Si基底上,并对单层悬浮石墨烯进行了压痕实验测试,最后通过非线性弹性拟合获得了石墨烯样品的杨氏模量和表面预应力。本文中的石墨烯粘附属性测试方法,可以快速方便并准确地获得石墨烯和多种材料之间的粘附能,快速量化石墨烯与其它材料之间的粘附属性,对石墨烯的应用发展具有推动意义,可以加速二维纳米材料的发展和应用。
[Abstract]:Graphene is a new two-dimensional carbon nanomaterials, which is composed of monolayer carbon atoms and has excellent physical, chemical and mechanical properties. It has been widely concerned by scientists and has a wide range of research value and application prospects. The special structure of graphene determines its unique properties. It is of great significance to study the mechanical properties of graphene such as adhesion and friction to advance the development of graphene. In this paper, the adhesion properties of tip and monolayer graphene of atomic force microscope (AFM) and multilayer graphene to silica at different relative humidity were measured by using a self-developed nano-robot system. Based on the JKR elastic contact theory, the adhesion energy between them is obtained, and the friction properties between graphene and silicon dioxide are compared. The friction imaging between graphene and silicon dioxide is studied under different conditions. Finally, based on the existing nano-indentation experiments, the indentation experiments of suspended graphene were carried out, and the Young's modulus and surface prestress of graphene samples were obtained by fitting analysis. The main contents are as follows: (1) preparation of graphene samples. The differences of graphene samples prepared by liquid phase ultrasonic stripping method and micromechanical stripping method were analyzed by Raman spectroscopy. It was found that the quality of graphene samples prepared by micromechanical stripping method was good. It basically meets the requirements of basic physical properties of graphene at the research level. (2) the test and analysis of graphene adhesion property. In this paper, a test program is developed for the model of force displacement (FD) multiparameter scanning, and it is applied to test the adhesion between the AFM probe and the surface of the sample at different relative humidity. Based on JKR viscoelastic contact theory, the adhesion energy between AFM probe and sample surface was calculated. (3) tribological properties of graphene and tribological imaging were studied. The friction properties difference between graphene and silica was studied by friction ring method, and the corresponding friction imaging program was developed, and the less layer graphene on silica substrate was realized. Friction imaging of single / double graphene on silica substrate and graphene monolayer on graphene. (4) Young's modulus of graphene sample was obtained by indentation test. Graphene was transferred to Si substrate with array holes by micromechanical stripping method, and the indentation test of single layer suspended graphene was carried out. Finally, the Young's modulus and surface prestress of graphene samples were obtained by nonlinear elastic fitting. In this paper, the adhesion properties of graphene can be measured quickly, conveniently and accurately, and the adhesion properties between graphene and other materials can be quickly quantified. It can promote the application of graphene and accelerate the development and application of two-dimensional nanomaterials.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP242;TQ127.11

【引证文献】