The effect of substrate roughness on the static friction of CuO nanowires

Polyakov, Boris; Vlassov, Sergei; Dorogin, Leonid; Kūlis, P.; Kink, Ilmar; Lõhmus, Rünno

doi:10.1016/j.susc.2012.04.029

Cited by 25 publications

(21 citation statements)

References 35 publications

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“…Experiments of Purtov et al [15] and modelling of the experiments by Pepelyshev et al [16], employing Galanov's model of adhesion between rough surfaces [17], showed that consideration of real contact area is a very important factor in adhesive contact problems. This statement is also nicely confirmed by the analysis of nanoscale static friction by Polyakov et al [18], and various works that demonstrate the influence of roughness on the value of adhesive pull-off force (e.g., [19][20][21]).…”

Section: Introductionsupporting

confidence: 66%

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

et al. 2019

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Classical methods of material testing become extremely complicated or impossible at micro-/nanoscale. At the same time, depth-sensing indentation (DSI) can be applied without much change at various length scales. However, interpretation of the DSI data needs to be done carefully, as length-scale dependent effects, such as adhesion, should be taken into account. This review paper is focused on different DSI approaches and factors that can lead to erroneous results, if conventional DSI methods are used for micro-/nanomechanical testing, or testing soft materials. We also review our recent advances in the development of a method that intrinsically takes adhesion effects in DSI into account: the Borodich–Galanov (BG) method, and its extended variant (eBG). The BG/eBG methods can be considered a framework made of the experimental part (DSI by means of spherical indenters), and the data processing part (data fitting based on the mathematical model of the experiment), with such distinctive features as intrinsic model-based account of adhesion, the ability to simultaneously estimate elastic and adhesive properties of materials, and non-destructive nature.

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Section: Introductionsupporting

confidence: 66%

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

et al. 2019

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“…The real contact area is another important parameter that can be modulated to tune the adhesion between two surfaces [3–4]. A nice example at nano/microscale has been given by S. Casado [5], who shows how the modulation of roughness and adhesion of two different violin bow hairs observed at nanoscale by AFM, may cause strong consequences at mascoscopic scale during the stick–slip phenomenon of the rubbing hairs surfaces and in fine such different acoustic outputs.…”

Section: Introductionmentioning

confidence: 99%

Tuning adhesion forces between functionalized gold colloidal nanoparticles and silicon AFM tips: role of ligands and capillary forces

Oras

Vlassov

Berholts

et al. 2018

Beilstein J. Nanotechnol.

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Adhesion forces between functionalized gold colloidal nanoparticles (Au NPs) and scanning probe microscope silicon tips were experimentally investigated by atomic force microscopy (AFM) equipped with PeakForce QNM (Quantitative Nanoscale Mechanics) module. Au NPs were synthesized by a seed-mediated process and then functionalized with thiols containing different functional groups: amino, hydroxy, methoxy, carboxy, methyl, and thiol. Adhesion measurements showed strong differences between NPs and silicon tip depending on the nature of the tail functional group. The dependence of the adhesion on ligand density for different thiols with identical functional tail-group was also demonstrated. The calculated contribution of the van der Waals (vdW) forces between particles was in good agreement with experimentally measured adhesive values. In addition, the adhesion forces were evaluated between flat Au films functionalized with the same molecular components and silicon tips to exclude the effect of particle shape on the adhesion values. Although adhesion values on flat substrates were higher than on their nanoparticle counterparts, the dependance on functional groups remained the same.

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“…12 As a consequence, surface texture, roughness and hydrophobic properties and the electric characteristics of contacted surfaces will significantly affect the magnitude of the friction force. [13][14][15][16] The previous studies were largely concerned with the determination of the static friction via bending manipulation. For instance, Bordag et al 12 tried to bend a NW into a "half circle" of the smallest possible radius.…”

Section: Introductionmentioning

confidence: 99%

“…13 This study aimed to develop a simple and reliable method that can measure the kinetic and static friction forces of a NW/substrate system in the same test. In this method, a NW was bent at one end.…”

Section: Introductionmentioning

confidence: 99%

Kinetic and static friction between alumina nanowires and a Si substrate characterized using a bending manipulation method

2015

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The kinetic and static friction forces between Al 2 O 3 nanowires (NWs) and a Si substrate were simultaneously determined by the use of bending manipulation, which bent a NW into a "hook" shape, and then let it recover elastically. An analytical model was developed to estimate the kinetic friction force based on the hypothesis that part of the elastic energy stored in the bent NW was consumed by the work of the friction during recovering. The static friction force was also calculated using force equilibrium. Finite element analysis and experimental testing were performed to verify the analytical model. The kinetic and static friction forces per unit area obtained were in the ranges of 1.16-3.4 MPa and 0.68-2.7 MPa, respectively, which agree well with most of the values reported previously for NWs or nanoparticles on flat substrates. It was also found that the NW size had no apparent effect on the interfacial shear stress.

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The effect of substrate roughness on the static friction of CuO nanowires

Cited by 25 publications

References 35 publications

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

Tuning adhesion forces between functionalized gold colloidal nanoparticles and silicon AFM tips: role of ligands and capillary forces

Kinetic and static friction between alumina nanowires and a Si substrate characterized using a bending manipulation method

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