Prediction method for dynamic characteristics of fluid conveying multiwalled carbon nanotube

A technology of multi-walled carbon nanotubes and dynamic characteristics, applied in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2014-06-11
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

Among them, the Euler beam model has a simple mathematical description and can predict some important physical phenomena, so it has attracted a large number of researchers. However, the use of the continuum mechanics model to examine the stability of flow-transporting multi-walled carbon nanotubes with van der Waals force has not yet been investigated. Related reports

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  • Prediction method for dynamic characteristics of fluid conveying multiwalled carbon nanotube
  • Prediction method for dynamic characteristics of fluid conveying multiwalled carbon nanotube
  • Prediction method for dynamic characteristics of fluid conveying multiwalled carbon nanotube

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Embodiment approach 1

[0039] Implementation mode one: if figure 1 As shown, the method for predicting the dynamic characteristics of flow-transporting multi-walled carbon nanotubes based on the modified elastic beam model in this embodiment includes the following steps:

[0040] (1) Combining the elastic beam model with the multi-walled carbon nanotube interlayer van der Waals force model and the interaction model between the fluid and the inner tube through the Hamiltonian variational principle, and based on the modified continuum mechanics method, the output model based on the modified elastic beam model is established. Flow coupled MWCNT system model:

[0041] (2) Use the Galerkin discrete module to describe the displacement of each layer of multi-walled carbon nanotubes, and then substitute it into the fluid-conveying multi-walled carbon nanotubes coupling system model obtained in step (1), and obtain the characteristics of the model differential equation through calculation equation ,in, i...

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Abstract

The invention relates to a prediction method for dynamic characteristics of a fluid conveying multiwalled carbon nanotube, in particular to the field of the dynamic characteristics of carbon nanotube conveying systems in the field of micro nano electromechanical systems. The method comprises the following specific steps: setting a governing equation module, a Galerkin discrete module, a characteristic value solving module and a result output module during a computation process, and finally completing the prediction of the dynamic characteristics of the fluid conveying multiwalled carbon nanotube. Firstly, a method of classical macroscopic continuum mechanics is expanded to research a micro nano conveying system, and secondly, dynamic behaviors of a coupled system are researched by means of the power system bifurcation theory so as to ensure the stability of the micro nano conveying system.

Description

technical field [0001] The invention relates to a method for predicting dynamic characteristics of multi-walled carbon nanotubes transporting fluid, in particular to the field of dynamic characteristics of carbon nanotube transport systems in the field of micro-nano electromechanical systems. Background technique [0002] Research topics about fluid flow in carbon nanotubes have attracted increasing attention, such as the tuning ability of water molecules in carbon nanotubes, the interaction of fluids with tube walls, and the dependence of hydrodynamic behavior on nanotube size. Properties, the influence of fluid flow in single-walled carbon nanotubes on the vibration and stability of carbon nanotubes. Comparisons of many Navier-Stokes equations with molecular dynamics confirm that when the pipe diameter exceeds 6-10 fluid molecule sizes, the difference between classical hydrodynamic methods and molecular dynamics simulation results is small. Travis et al. applied the class...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 闫妍王文全杨洋
Owner KUNMING UNIV OF SCI & TECH
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