hh.sePublications
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
Surface topography characterization of brass alloys: lead brass (CuZn39Pb3) and lead free brass (CuZn21Si3P)
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).ORCID iD: 0000-0002-2330-0597
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).ORCID iD: 0000-0002-8364-202X
Division of Production and Materials Engineering, Lund University, Lund, Sweden.
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).ORCID iD: 0000-0001-8058-1252
2017 (English)In: Surface Topography: Metrology and Properties, ISSN 2051-672X, Vol. 5, no 2, article id 025001Article in journal (Refereed) Published
Abstract [en]

Manufactured surfaces usually consist of topographical features which include both those put forth by the manufacturing process, and micro-features caused by disturbances during this process. Surface characterization basically involves study of these features which influence the functionality of the surface. This article focuses on characterization of the surface topography of machined lead brass and lead free brass. The adverse effect of lead on human health and the environment has led the manufacturing sector to focus on sustainable manufacturing of lead free brass, as well as how to maintain control of the surface integrity when substituting the lead content in the brass with silicon. The investigation includes defined areal surface parameters measured on the turned samples of lead- and lead free brass using an optical coherence scanning interferometer, CSI. This paper deals with the study of surface topography of turned samples of lead-and lead free brass. It is important to study the topographical characteristics of the brass samples which are the intermediate link between the manufacturing process variables and the functional behaviour of the surface. To numerically evaluate the sample's surface topography and to validate the measurements for a significant study, a general statistical methodology is implemented. The results indicate higher surface roughness in turned samples of lead brass compared to lead free brass. © 2017 IOP Publishing Ltd

Place, publisher, year, edition, pages
Bristol: Institute of Physics Publishing (IOPP), 2017. Vol. 5, no 2, article id 025001
Keywords [en]
areal surface parameters, optical interferometer, multiple regression analysis, surface topography, lead free brass, surface roughness
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Identifiers
URN: urn:nbn:se:hh:diva-35600DOI: 10.1088/2051-672X/aa612bISI: 000398423900001Scopus ID: 2-s2.0-85020298117OAI: oai:DiVA.org:hh-35600DiVA, id: diva2:1162379
Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2020-12-15Bibliographically approved
In thesis
1. On Deterministic feature-based Surface Analysis
Open this publication in new window or tab >>On Deterministic feature-based Surface Analysis
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Manufacturing sector is continuously identifying opportunities to streamline production, reduce waste and improve manufacturing efficiency without compromising product quality. Continuous improvement has been the primary objective to produce acceptable quality products and meet dynamic customer demands by using advanced techniques and methods. Considering the current demands from society on improving the efficiency with sustainable goals, there is considerable interest from researchers and industry to explore the potential, to optimize- and customize manufactured surfaces, as one way of improving the performance of products and processes.Every manufacturing process generate surfaces which beholds certain signature features. Engineered surfaces consist of both, features that are of interest and features that are irrelevant. These features imparted on the manufactured part vary depending on the process, materials, tooling and manufacturing process variables. Characterization and analysis of deterministic features represented by significant surface parameters helps the understanding of the process and its influence on surface functional properties such as wettability, fluid retention, friction, wear and aesthetic properties such as gloss, matte. In this thesis, a general methodology with a statistical approach is proposed to extract the robust surface parameters that provides deterministic and valuable information on manufactured surfaces.Surface features produced by turning, injection molding and Fused Deposition Modeling (FDM) are characterized by roughness profile parameters and areal surface parameters defined by ISO standards. Multiple regression statistics is used to resolve surfaces produced with multiple process variables and multiple levels. In addition, other statistical methods used to capture the relevant surface parameters for analysis are also discussed in this thesis. The selected significant parameters discriminate between the samples produced by different process variables and helps to identify the influence of each process variable. The discussed statistical approach provides valuable information on the surface function and further helps to interpret the surfaces for process optimization.The research methods used in this study are found to be valid and applicable for different manufacturing processes and can be used to support guidelines for the manufacturing industry focusing on process optimization through surface analysis. With recent advancement in manufacturing technologies such as additive manufacturing, new methodologies like the statistical one used in this thesis is essential to explore new and future possibilities related to surface engineering.

Place, publisher, year, edition, pages
Göteborg: Chalmers University of Technology, 2020. p. 47
Series
Thesis for the degree of Licentiate of Engineering ; IMS-2020-5
Keywords
Coherence Scanning Interferometer, Regression, Surface profile parameters, Stylus Profilometer, Manufacturing Characterization, Areal surface parameters
National Category
Manufacturing, Surface and Joining Technology
Identifiers
urn:nbn:se:hh:diva-43687 (URN)
Presentation
2020-05-27, Halmstad University, Halmstad, 10:15 (English)
Opponent
Supervisors
Available from: 2020-12-21 Created: 2020-12-09 Last updated: 2020-12-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Reddy, Vijeth VenkataramVedantha Krishna, AmoghRosén, Bengt Göran

Search in DiVA

By author/editor
Reddy, Vijeth VenkataramVedantha Krishna, AmoghRosén, Bengt Göran
By organisation
The Rydberg Laboratory for Applied Sciences (RLAS)
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 138 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