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Multiscale analyses and characterizations of surface topographies
- Source :
- CIRP Annals-Manufacturing Technology, CIRP Annals-Manufacturing Technology, Elsevier, 2018, 67 (2), pp.839-862. ⟨10.1016/j.cirp.2018.06.001⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; This work studies multiscale analyses and characterizations of surface topographies from the engineering and scientific literature with an emphasis on production engineering research and design. It highlights methods that provide strong correlations between topographies and performance or topographies and processes, and methods that can confidently discriminate topographies that were processed or that perform differently. These methods have commonalities in geometric characterizations at certain scales, which are observable with statistics and measurements. It also develops a semantic and theoretical framework and proposes a new system for organizing and designating multiscale analyses. Finally, future possibilities for multiscale analyses are discussed. (C) 2018 Published by Elsevier Ltd on behalf of CIRP.
- Subjects :
- Surface (mathematics)
0209 industrial biotechnology
Computed-Tomography
Computer science
Area Structure-Function
Computed tomography
02 engineering and technology
Wavelet Transform
computer.software_genre
Metrology
Industrial and Manufacturing Engineering
[SPI]Engineering Sciences [physics]
020901 industrial engineering & automation
medicine
Production engineering
Dimensional Metrology
Quantitative-Analysis
Physics::Atmospheric and Oceanic Physics
medicine.diagnostic_test
Rough Surfaces
Mechanical Engineering
Fractal Analysis
021001 nanoscience & nanotechnology
Engineering Surfaces
Fractal analysis
Roughness
Surface
Data mining
Ubm Laser Profilometry
0210 nano-technology
Dental Microwear Texture
computer
Subjects
Details
- Language :
- English
- ISSN :
- 00078506
- Database :
- OpenAIRE
- Journal :
- CIRP Annals-Manufacturing Technology, CIRP Annals-Manufacturing Technology, Elsevier, 2018, 67 (2), pp.839-862. ⟨10.1016/j.cirp.2018.06.001⟩
- Accession number :
- edsair.doi.dedup.....2ce5536b132f68884e4e662e6b63f483
- Full Text :
- https://doi.org/10.1016/j.cirp.2018.06.001⟩