Deltombe, R, Kubiak, KJ orcid.org/0000-0002-6571-2530 and Bigerelle, M (2014) How to select the most relevant 3D roughness parameters of a surface. Scanning, 36 (1). pp. 150-160. ISSN 0161-0457
Abstract
In order to conduct a comprehensive roughness analysis, around sixty 3D roughness parameters are created to describe most of the surface morphology with regard to specific functions, properties or applications. In this paper, a multiscale surface topography decomposition method is proposed with application to stainless steel (AISI 304), which is processed by rolling at different fabrication stages and by electrical discharge tool machining. Fifty‐six 3D‐roughness parameters defined in ISO, EUR, and ASME standards are calculated for the measured surfaces. Then, expert software “MesRug” is employed to perform statistical analysis on acquired data in order to find the most relevant parameters characterizing the effect of both processes (rolling and machining), and to determine the most appropriate scale of analysis. For the rolling process: The parameter Vmc (the Core Material Volume—defined as volume of material comprising the texture between heights corresponding to the material ratio values of p = 10% and q = 80%) computed at the scale of 3 µm is the most relevant parameter to characterize the cold rolling process. For the EDM Process, the best roughness parameter is SPD that represents the number of peaks per unit area after segmentation of a surface into motifs computed at the scale of 8 µm.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Wiley Periodicals, Inc. This is the peer reviewed version of the following article: Deltombe, R. , Kubiak, K. J. and Bigerelle, M. (2014), How to select the most relevant 3D roughness parameters of a surface. Scanning, 36: 150-160, which has been published in final form at https://doi.org/10.1002/sca.21113. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Sendzimir cold rolling; electrical discharge machining; surface roughness; 3D‐roughness parameters; statistical analysis; bootstrap method; ANOVA |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Sep 2018 09:01 |
Last Modified: | 05 Sep 2018 09:01 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/sca.21113 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134679 |