Multiscale analyses and characterizations of surface topographies
Journal article, 2018
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.
Metrology
Roughness
Surface
Author
Christopher A. Brown
Worcester Polytechnic Institute
Hans N. Hansen
Technical University of Denmark (DTU)
Xiang Jane Jiang
University of Huddersfield
François Blateyron
Digital Surf
Johan C Berglund
Swerea
Chalmers, Industrial and Materials Science, Product Development
Nicola Senin
University of Perugia
University of Nottingham
Tomasz Bartkowiak
Poznan University of Technology
Barnali Dixon
University of South Florida
Gaëtan Le Goïc
Université de Bourgogne
Yann Quinsat
Laboratoire Universitaire de Recherche en Production Automatisee
W. James Stemp
Keene State College
Mary Kathryn Thompson
GE Additive
Peter S. Ungar
University of Arkansas System
E. Hassan Zahouani
École nationale d'ingénieurs de Saint-Étienne
CIRP Annals - Manufacturing Technology
0007-8506 (ISSN) 17260604 (eISSN)
Vol. 67 2 839-862Subject Categories
Production Engineering, Human Work Science and Ergonomics
Other Mechanical Engineering
Other Engineering and Technologies not elsewhere specified
DOI
10.1016/j.cirp.2018.06.001