Literature DB >> 30052425

Combining TEM, AFM, and Profilometry for Quantitative Topography Characterization Across All Scales.

Abhijeet Gujrati1, Subarna R Khanal1, Lars Pastewka2, Tevis D B Jacobs1.   

Abstract

Surface roughness affects the functional properties of surfaces, including adhesion, friction, hydrophobicity, biological response, and electrical and thermal transport properties. However, experimental investigations to quantify these links are often inconclusive because surfaces are fractal-like, and the values of measured roughness parameters depend on measurement size. Here, we demonstrate the characterization of topography of an ultrananocrystalline diamond (UNCD) surface at the angstrom scale using transmission electron microscopy (TEM), as well as its combination with conventional techniques to achieve a comprehensive surface description spanning 8 orders of magnitude in size. We performed more than 100 individual measurements of the nanodiamond film using both TEM and conventional techniques (stylus profilometry and atomic force microscopy). While individual measurements of root-mean-square (RMS) height, RMS slope, and RMS curvature vary by orders of magnitude, we combine the various techniques using the power spectral density and use this to compute scale-independent parameters. This analysis reveals that "smooth" UNCD surfaces have an RMS slope greater than 1, even larger than the slope of the Austrian Alps when measured on the scale of a human step. This approach of comprehensive multiscale roughness characterization, measured with angstrom-scale detail, will enable the systematic evaluation and optimization of other technologically relevant surfaces, as well as systematic testing of the many analytical and numerical models for the behavior of rough surfaces.

Entities:  

Keywords:  atomic force microscopy (AFM); hurst exponent; power spectral density (PSD); self-affinity; surface roughness parameters; surface topography; transmission electron microscopy (TEM); ultrananocrystalline diamond (UNCD)

Year:  2018        PMID: 30052425     DOI: 10.1021/acsami.8b09899

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  5 in total

1.  Linking energy loss in soft adhesion to surface roughness.

Authors:  Siddhesh Dalvi; Abhijeet Gujrati; Subarna R Khanal; Lars Pastewka; Ali Dhinojwala; Tevis D B Jacobs
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-26       Impact factor: 11.205

2.  Ageing of Polymer Frictional Interfaces: The Role of Quantity and Quality of Contact.

Authors:  D Petrova; D K Sharma; M Vacha; D Bonn; A M Brouwer; B Weber
Journal:  ACS Appl Mater Interfaces       Date:  2020-02-18       Impact factor: 9.229

3.  An investigation of gecko attachment on wet and rough substrates leads to the application of surface roughness power spectral density analysis.

Authors:  Amanda M Palecek; Austin M Garner; Mena R Klittich; Alyssa Y Stark; Jacob D Scherger; Craig Bernard; Peter H Niewiarowski; Ali Dhinojwala
Journal:  Sci Rep       Date:  2022-07-07       Impact factor: 4.996

4.  The emergence of small-scale self-affine surface roughness from deformation.

Authors:  Adam R Hinkle; Wolfram G Nöhring; Richard Leute; Till Junge; Lars Pastewka
Journal:  Sci Adv       Date:  2020-02-14       Impact factor: 14.136

5.  Tactile perception of randomly rough surfaces.

Authors:  Riad Sahli; Aubin Prot; Anle Wang; Martin H Müser; Michal Piovarči; Piotr Didyk; Roland Bennewitz
Journal:  Sci Rep       Date:  2020-09-25       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.