Mathematical approach to the validation of functional surface texture parameter software

Abstract

A new method for performance validation of surface texture parameter calculation software is introduced, focussing on functional surface texture parameters. Material ratio curves are defined algebraically and used to calculate functional surface texture parameters mathematically. Discrete datasets are created from the material ratio curves and input into three third-party parameter calculation software packages. Comparisons are made between the software-obtained parameter values and the mathematical values, identifying significant differences between them. Work is carried out to highlight inaccuracies introduced by sampling discrete datasets from mathematical representations, and it is shown that the resulting variations in parameter values are insignificant compared to the differences from the mathematical values.

Citation

Todhunter, L., Leach, R., Lawes, S., Harris, P., & Blateyron, F. (2019). Mathematical approach to the validation of functional surface texture parameter software. Surface Topography: Metrology and Properties, 7(1), https://doi.org/10.1088/2051-672X/ab07ca

• Journal Article Type: Article
• Acceptance Date: Feb 18, 2019
• Online Publication Date: Feb 28, 2019
• Publication Date: Feb 28, 2019
• Deposit Date: Mar 4, 2019
• Publicly Available Date: Mar 5, 2019
• Journal: Surface Topography: Metrology and Properties
• Electronic ISSN: 2051-672X
• Publisher: IOP Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 1
• Article Number: 015020
• DOI: https://doi.org/10.1088/2051-672X/ab07ca
• Public URL: https://nottingham-repository.worktribe.com/output/1602280
• Publisher URL: https://iopscience.iop.org/article/10.1088/2051-672X/ab07ca/meta
• Additional Information: Journal title: Surface Topography: Metrology and Properties; Article type: paper; Article title: Mathematical approach to the validation of functional surface texture parameter software; Copyright information: © 2019 IOP Publishing Ltd; License information: cc-by Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.; Date received: 2019-01-15; Date accepted: 2019-02-18; Online publication date: 2019-02-28