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Sensitivity analysis of nanoparticles pushing critical conditions in 2-D controlled nanomanipulation based on AFM

机译:基于AFM的二维受控纳米操纵中推动关键条件的纳米颗粒的敏感性分析

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This paper investigates the sensitivity of critical parameters in AFM-based nanomanipulation, including the nanoparticle pushing force and time versus changing all parameters of the nanomanipulation process. The presented model includes both adhesional and normal friction forces. Also, pull-off forces are modeled by using the Johnson-Kendall-Roberts (JKR) contact mechanics model. Dynamic equations are developed based on the free body diagram of the pushing system, including AFM cantilever and probe, nanoparticle, and substrate. Dynamic simulation of gold particle manipulation on a silicon substrate is performed. In this model, the nanoparticle can be traced at every moment and at the same time all the dynamics and deformations of nanoparticle can be achieved from numerical simulation. Depending on obtained diagrams for parameters sensitivity, the suggested behavior will be followed by the particle such as rolling, sliding, stick-slip, and rotation. Its novelty is that the sensitivity of critical force and critical time for particle pushing on the substrate are obtained for all parameters. This is important for designing and choosing of geometry and materials of AFM, nanoparticle, and substrate. Also this is effective on choosing of proper initial condition in pushing purposes. Finally, it can be used to adjust proper pushing time and force for an accurate and successful pushing and assembly, and real-time visualization during microanomanipulation using real-time force data.
机译:本文研究了基于AFM的纳米处理中关键参数的敏感性,包括纳米粒子的推力和时间与更改纳米处理过程中所有参数的关系。提出的模型包括粘附力和法向摩擦力。同样,通过使用Johnson-Kendall-Roberts(JKR)接触力学模型对拉拔力进行建模。动力学方程是基于推动系统的自由体图开发的,包括AFM悬臂和探针,纳米颗粒和基质。在硅基板上进行金粒子操纵的动态模拟。在该模型中,可以随时追踪纳米粒子,同时可以通过数值模拟获得所有纳米粒子的动力学和变形。根据获得的参数灵敏度图,建议的行为将跟随粒子,例如滚动,滑动,粘滑和旋转。它的新颖之处在于,对于所有参数,都可以获得用于将粒子推入基板的临界力和临界时间的灵敏度。这对于设计和选择AFM,纳米颗粒和基材的几何形状和材料非常重要。这对于在推动目的中选择适当的初始条件也是有效的。最后,它可用于调整正确的推压时间和推力,以进行准确而成功的推压和组装,并使用实时力数据在微观/纳米夹持过程中进行实时可视化。

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