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.





Christopher A. Brown

Worcester Polytechnic Institute

Hans N. Hansen

Technical University of Denmark (DTU)

Xiang Jane Jiang

The University of Huddersfield

François Blateyron

Digital Surf

Johan C Berglund

Swerea IVF AB

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)

Vol. 67 2 839-862

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Mechanical Engineering

Other Engineering and Technologies not elsewhere specified



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