Nano-metrology and terrain modelling - convergent practice in surface characterisation

被引:4
|
作者
Pike, RJ [1 ]
机构
[1] US Geol Survey, Menlo Park, CA 94025 USA
关键词
surface characterisation; surface roughness; three-dimensional surface topography;
D O I
10.1016/S0301-679X(00)00075-X
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The quantification of magnetic-tape and disk topography has a macro-scale counterpart in the Earth sciences - terrain modelling, the numerical representation of relief and pattern of the ground surface. The two practices arose independently and continue to function separately. This methodological paper introduces terrain modelling, discusses its similarities to and differences from industrial surface metrology, and raises the possibility of a unified discipline of quantitative surface characterisation. A brief discussion of an Earth-science problem, subdividing a heterogeneous terrain surface from a set of sample measurements, exemplifies a multivariate statistical procedure that may transfer to tribological applications of 3-D metrological height data. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:593 / 600
页数:8
相关论文
共 50 条
  • [41] SURFACE CHARACTERISATION OF NANO IMAGE USING MATLAB
    Kumar, Hemanth M. S.
    Nuthan, A. C.
    Sumitha, C.
    2018 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN ELECTRICAL, ELECTRONICS & COMMUNICATION ENGINEERING (ICRIEECE 2018), 2018, : 2865 - 2869
  • [42] Optical Wave Engineering for nano-scale surface metrology
    Shamir, J
    Spektor, B
    Parkhomenko, Y
    WAVE-OPTICAL SYSTEMS ENGINEERING II, 2003, 5182 : 197 - 205
  • [43] Surface runoff modelling in steep terrain in a GIS environment
    Arsov, R
    URBAN WATER MANAGEMENT: SCIENCE TECHNOLOGY AND SERVICE DELIVERY, 2003, 25 : 73 - 84
  • [44] Surface characterisation and modelling of olivine at alkaline conditions
    Jolstera, R.
    Gunneriusson, L.
    Forsling, W.
    GEOCHIMICA ET COSMOCHIMICA ACTA, 2010, 74 (12) : A477 - A477
  • [45] Toward Advancing Nano-Object Count Metrology: A Best Practice Framework
    Brown, Scott C.
    Boyko, Volodymyr
    Meyers, Greg
    Voetz, Matthias
    Wohlleben, Wendel
    ENVIRONMENTAL HEALTH PERSPECTIVES, 2013, 121 (11-12) : 1282 - 1291
  • [46] BlurRes-UNet: A novel neural network for automated surface characterisation in metrology
    Cui, Weixin
    Lou, Shan
    Zeng, Wenhan
    Kadirkamanathan, Visakan
    Qin, Yuchu
    Scott, Paul J.
    Jiang, Xiangqian
    COMPUTERS IN INDUSTRY, 2025, 165
  • [47] A modelling study of vertical surface displacements at convergent plate margins
    Buiter, SJH
    Govers, R
    Wortel, MJR
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2001, 147 (02) : 415 - 427
  • [48] Modelling Structures of Terrain Surface Using GIS in Loess Plateau
    Wang, Chunmei
    Tu, Xiang
    Yang, Qinke
    Du, Huadong
    Jupp, David L. B.
    21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015), 2015, : 1366 - 1371
  • [49] A Review on Land Surface Processes Modelling over Complex Terrain
    Zhao, Wei
    Li, Ainong
    ADVANCES IN METEOROLOGY, 2015, 2015
  • [50] Modelling surface effects in nano wire optoelectronic devices
    Roemer, Friedhard
    Witzigmann, Bernd
    JOURNAL OF COMPUTATIONAL ELECTRONICS, 2012, 11 (04) : 431 - 439