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本文引用的文献

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Surface topography as a material parameter.表面形貌作为一种材料参数。
MRS Bull. 2022;47(12):1205-1210. doi: 10.1557/s43577-022-00465-5. Epub 2023 Jan 31.
2
Linking energy loss in soft adhesion to surface roughness.将软黏附能量损失与表面粗糙度联系起来。
Proc Natl Acad Sci U S A. 2019 Dec 17;116(51):25484-25490. doi: 10.1073/pnas.1913126116. Epub 2019 Nov 26.
3
Combining TEM, AFM, and Profilometry for Quantitative Topography Characterization Across All Scales.结合 TEM、AFM 和轮廓术对所有尺度进行定量形貌特征描述。
ACS Appl Mater Interfaces. 2018 Aug 29;10(34):29169-29178. doi: 10.1021/acsami.8b09899. Epub 2018 Aug 14.
4
Measuring topographies from conventional SEM acquisitions.从传统 SEM 采集中测量形貌。
Ultramicroscopy. 2018 Aug;191:18-33. doi: 10.1016/j.ultramic.2018.04.006. Epub 2018 Apr 27.
5
Measurements of the surface microroughness with the scanning electron microscope.使用扫描电子显微镜测量表面微观粗糙度。
J Microsc. 2009 Jan;233(1):10-7. doi: 10.1111/j.1365-2818.2008.03090.x.
6
Image distortions in SEM and their influences on EBSD measurements.扫描电子显微镜中的图像畸变及其对电子背散射衍射测量的影响。
Ultramicroscopy. 2007 Feb-Mar;107(2-3):172-83. doi: 10.1016/j.ultramic.2006.07.003. Epub 2006 Aug 7.
7
Wavelength-dependent roughness: a quantitative approach to characterizing the topography of rough titanium surfaces.波长依赖性粗糙度:一种表征粗糙钛表面形貌的定量方法。
Int J Oral Maxillofac Implants. 2001 Mar-Apr;16(2):163-81.

评估扫描电子显微镜用于小尺度形貌测量的情况。

Evaluating scanning electron microscopy for the measurement of small-scale topography.

作者信息

Chadha Vimanyu, Miller Nathaniel C, Ding Ruikang, Beschorner Kurt E, Jacobs Tevis D B

机构信息

Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261.

Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261.

出版信息

Surf Topogr. 2024;12(3). doi: 10.1088/2051-672x/ad49b9.

DOI:10.1088/2051-672x/ad49b9
PMID:39896093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11783955/
Abstract

For predicting surface performance, multiscale topography analysis consistently outperforms standard roughness metrics; however, surface-characterization tools limit the range of sizes that can be measured. Therefore, we evaluate the use of scanning electron microscopy (SEM) to systematically measure small-scale topography. While others have employed SEM for similar purposes, the novelty of this investigation lies in the development and validation of a simple, flexible procedure that can be applied to a wide range of materials and geometries. First, we established four different options that can be used for sample preparation, and we measured quantitative topography of each using the SEM. Then the power spectral density (PSD) was used to compare topography among the four preparations, and against other techniques. A statistical comparison of PSDs demonstrated that SEM topography measurements outperformed AFM measurements at scales below 100 nm and were statistically indistinguishable from (highly labor-intensive) TEM measurements down to 16 nm. The limitations of SEM-based topography were quantified and discussed. Overall, the results show a simple generalizable method for revealing small-scale topography. When combined with traditional stylus profilometry, this technique characterizes surface topography across almost seven orders of magnitude, from 1 cm down to 16 nm, facilitating the use of physical models to predict performance.

摘要

对于预测表面性能,多尺度形貌分析始终优于标准粗糙度指标;然而,表面表征工具限制了可测量尺寸的范围。因此,我们评估使用扫描电子显微镜(SEM)来系统地测量小尺度形貌。虽然其他人也将SEM用于类似目的,但本研究的新颖之处在于开发并验证了一种简单、灵活的程序,该程序可应用于广泛的材料和几何形状。首先,我们建立了四种可用于样品制备的不同方法,并使用SEM测量了每种方法的定量形貌。然后,使用功率谱密度(PSD)来比较四种制备方法之间的形貌,并与其他技术进行比较。PSD的统计比较表明,在低于100nm的尺度下,SEM形貌测量优于原子力显微镜(AFM)测量,并且在低至16nm的尺度下与(劳动强度大的)透射电子显微镜(TEM)测量在统计学上没有区别。基于SEM的形貌的局限性进行了量化和讨论。总体而言,结果显示了一种揭示小尺度形貌的简单通用方法。当与传统的触针轮廓仪结合使用时,该技术可表征从1cm到16nm几乎七个数量级的表面形貌,有助于使用物理模型来预测性能。