Sensitivity analysis of the nanoparticles on substrates using the atomic force microscope with rectangular and V-shaped cantilevers

Korayem, Moharam Habibnejad; Zakeri, M.; Aslzaeem, M.M.

doi:10.1049/mnl.2011.0199

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…Also, pull-off forces are modeled by using the Johnson-Kendall-Roberts (JKR) contact mechanics model. The dynamic model of the nano-particles pushing on a substrate based on the atomic force microscope with a rectangular cantilever (RC) and a V-shaped cantilever (VSC), which includes 12 nonlinear and coupled equations, has been analyzed, by using the graphical and automatic differential sensitivity analysis (SA) methods, and the sensitive and non-sensitive parameters and their sensitive ranges have been identified [6]. Different contact mechanics models have been applied to manipulation of nano-particles and biological cells.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of Nano-contact Mechanics Models in Manipulation of Biological Cell

Korayem

Rastegar²,

Taheri³

2012

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Application of four nano-contact mechanics models, JKR, DMT, Hertz and PT in manipulation of biological cells in biological environment based on atomic force microscope has been analyzed, and the sensitive and non-sensitive parameters and their sensitive ranges have been identified. To analyze sensitivity of contact theories to basic parameters of biological cell, the Sobol method was used. All the used models are small deformation contact mechanics models, but they are different in considerations and limitations. This selection was on purpose to analyze and compare theoretical and empirical models sensitivities. The results indicate that the deformation of biological nano-particle is very sensitive to the elasticity modulus in all models. Adhesion energy, Poisson ratio and particle radius have, respectively, the next ranks which the results of graphic SA confirm, but their effects are not the same in different models. Moreover, the results of the graphic sensitivity analysis SA show that the degree of sensitivity depends on the apparent values of input parameters, such that by changing the magnitude of a specific parameter, it could be possible to increase or decrease the sensitivity.

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Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of Nano-contact Mechanics Models in Manipulation of Biological Cell

Korayem

Rastegar²,

Taheri³

2012

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“…It is very important to use optimal values for this parameter because the reduction of the critical force of movement has a favorable outcome for the manipulation process, which can be achieved by reducing the thickness of the cantilever. On the other hand, in view of the stiffness equations in Korayem et al, 12 the reduction of cantilever thickness also leads to the reduction of cantilever stiffness, which may increase the vulnerability of the cantilever to damage.…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…The critical force needed for the onset of movement in the HK and LuGre models diminished by 15.87% and 22.22% and the critical time diminished by 50% and 75%, respectively, relative to the Coulomb model. Korayem et al 12 also investigated the AFM-based manipulation of nanoparticles on a substrate for rectangular and V-shaped cantilevers. The dynamic equations of these manipulations consisted of 12 coupled equations.…”

Section: Introductionmentioning

confidence: 99%

Investigating the effective parameters in the Atomic Force Microscope–based dynamic manipulation of rough micro/nanoparticles by using the Sobol sensitivity analysis method

et al. 2015

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Due to the substantial complexities of atomic force microscope (AFM)-based dynamic manipulation models, these models require the identification of many parameters and inputs with varying levels of sensitivity. Various sensitivity analysis (SA) methods can be used to achieve such a goal. The Sobol method is one of the famous SA approaches based on variance, which is widely used today in various study and scientific fields. The dynamic models for the manipulation of micro/nanoparticles, which have been investigated in previous works by means of the SA methods, have involved spherical nanoparticles with smooth surfaces. Since different micro/nanoparticles have a variety of geometries and since surface roughness plays a significant role in the contact of these particles with different surfaces, in this paper, the sensitivity of the AFM-based dynamic manipulation model of rough micro/nanorods has been analyzed. By considering more diverse geometrical conditions for the target micro/nanoparticle, including a cylindrical geometry and rough surfaces, many geometrical parameters enter the model. Therefore, in this study, simulations have been performed by the Sobol SA approach in order to determine the sensitivity of the input manipulation parameters to the critical output values of manipulation, for the two groups of AFM and environmental parameters. Based on the results obtained from these simulations, cantilever thickness constitutes the most sensitive parameter in the manipulation of rough cylindrical micro/nanoparticles. By analyzing the sensitivities of environmental parameters, it was found that the parameter of surface roughness in the range of 0–0.04 is highly sensitive for rough cylindrical micro/nanoparticles.

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“…10,11 Due to the nonlinearity of the 2D manipulation models and their dependency on geometrical parameters, the influential parameters were evaluated through sensitivity analysis. 12,13 Korayem et al presented motion models for simulating the displacement of spherical nanoparticles using different cantilevers. 14 With the increasing use of cylindrical nanoparticles in the building of nanostructures, the modeling of the kinematic modes, motion dynamics and the motion modes of rod-shaped nanoparticles became the focus of attention.…”

Section: Introductionmentioning

confidence: 99%

Algorithm for determining the cantilever load carrying capacity in the 3D manipulation of nanoparticles with geometrical constraints based on FEM simulations

Hoshiar

Korayem

2014

Robotica

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SUMMARYNowadays, with the growing use of atomic force microscope (AFM) nanorobots in the fabrication of nanostructures, research in this area has proliferated. A major limiting factor in the utilization of AFM nanorobots is the lack of real-time monitoring. Computer simulations have been widely used to improve the feasibility of nanoparticles pushing by means of the AFM-based nanorobots. In order to prevent damage to a cantilever during the nanoparticle displacement, it is necessary to come up with an algorithm that can check the feasibility of the manipulation operation with regards to the geometrical constraints of the cantilever and the considered path. The existing models for predicting the feasibility of manipulation processes are limited to 2D manipulation models (spherical nanoparticles), which are incapable of predicting the feasibility of 3D operations (lack of a comprehensive model of 3D cases). In this paper, to predict the feasibility of displacing cylindrical nanoparticles and to consider the path of motion (rough surface), a model has been proposed that can ensure the feasibility of the manipulation operation in advance. Finite element simulation has been employed to obtain the maximum load that can be withstood by a cantilever of a specific geometry. Also, the effect of surface roughness on the critical manipulation force has been explored. Ultimately, an algorithm has been presented for determining the feasibility of the manipulation operation by considering the particle motion path and the cantilever geometry.

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Sensitivity analysis of the nanoparticles on substrates using the atomic force microscope with rectangular and V-shaped cantilevers

Cited by 10 publications

References 7 publications

Sensitivity Analysis of Nano-contact Mechanics Models in Manipulation of Biological Cell

Sensitivity Analysis of Nano-contact Mechanics Models in Manipulation of Biological Cell

Investigating the effective parameters in the Atomic Force Microscope–based dynamic manipulation of rough micro/nanoparticles by using the Sobol sensitivity analysis method

Algorithm for determining the cantilever load carrying capacity in the 3D manipulation of nanoparticles with geometrical constraints based on FEM simulations

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