Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Topographical evaluation of laser generated surfaces using statistical analysis of surface-normal vector distributions
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development. Laser Nova AB, SE-831 48 Östersund, Sweden .ORCID iD: 0000-0002-7706-6994
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0003-4265-1541
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0002-3569-6795
2021 (English)In: IOP Conference Series: Materials Science and Engineering / [ed] Jan Frostevarg, Adrien Da Silva, Marie-Louise Palmblad, Lars Andersson, Institute of Physics (IOP), 2021, Vol. 1135, article id 012023Conference paper, Published paper (Refereed)
Abstract [en]

Surfaces generated by Additive Manufacturing or laser texturing can involve the solidification of droplets of liquid, which can give rise to overhanging features on the solidified surface. Overhanging features add a layer of complexity to the surface topography and are undetectable by standard surface roughness measurement techniques such as profilometry. Such features are important because they can have a considerable effect on surface properties such as wettability. New techniques and algorithms are therefore required to analyse and quantify convoluted surfaces with overhanging (re-entrant) features. Earlier work by the authors introduced the concept of using X-ray micro-computed tomography (Micro-CT) to identify the directions of vectors normal to the surface at any point and thus indicate the presence or absence of overhanging features. This paper divides overhanging features into two types; simple and compound, and introduces new, size independent, analysis techniques which measure what proportion of each type is on the surface. Another extension of the analysis is the comparison of surface profiles taken in different directions in order to identify any surface roughness anisotropies.

Place, publisher, year, edition, pages
Institute of Physics (IOP), 2021. Vol. 1135, article id 012023
Series
IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, E-ISSN 1757-899X
National Category
Manufacturing, Surface and Joining Technology
Research subject
Manufacturing Systems Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-89469DOI: 10.1088/1757-899X/1135/1/012023ISI: 000766307500023OAI: oai:DiVA.org:ltu-89469DiVA, id: diva2:1643745
Conference
18th Nordic Laser Materials Processing Conference (18th NOLAMP), Luleå, Sweden, January 18-20, 2022
Note

Funder: EU-ERDF-InterregNord (20201279)

Available from: 2022-03-10 Created: 2022-03-10 Last updated: 2023-01-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Olsson, RickardPowell, JohnFrostevarg, JanKaplan, Alexander F.H

Search in DiVA

By author/editor
Olsson, RickardPowell, JohnFrostevarg, JanKaplan, Alexander F.H
By organisation
Product and Production Development
Manufacturing, Surface and Joining Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 168 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf