Multiscale analyses and characterizations of surface topographies
Artikel i vetenskaplig tidskrift, 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.





Christopher A. Brown

Worcester Polytechnic Institute

Hans N. Hansen

Danmarks Tekniske Universitet (DTU)

Xiang Jane Jiang

University of Huddersfield

François Blateyron

Digital Surf

Johan C Berglund


Chalmers, Industri- och materialvetenskap, Produktutveckling

Nicola Senin

Universita degli Studi di Perugia

University of Nottingham

Tomasz Bartkowiak

Politechnika Poznanska

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 2 839-862


Produktionsteknik, arbetsvetenskap och ergonomi

Annan maskinteknik

Övrig annan teknik



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