Wahyudin P. Syam
In-process measurement of the surface quality for a novel finishing process for polymer additive manufacturing
Syam, Wahyudin P.; Leach, Richard; Rybalcenko, Konstantin; Gaio, Andr?; Crabtree, Joseph
Authors
Professor RICHARD LEACH RICHARD.LEACH@NOTTINGHAM.AC.UK
CHAIR IN METROLOGY
Konstantin Rybalcenko
Andr? Gaio
Joseph Crabtree
Abstract
In the last decade, there has been considerable growth in the production of end-use polymer parts and components using additive manufacturing methods. A wide range of polymers, from Nylon-12 to thermoplastic polyurethane polymers, can be processed with complex geometry tailored to specific function. However, due to the nature of the layer-by-layer process used in additive manufacturing, high roughness surfaces remain on the parts. To reduce the roughness of the surfaces, a proprietary post-processing method, developed by Additive Manufacturing Technologies, is applied to the surfaces. To monitor and control the finishing of the surfaces, an in-process surface detection instrument has been developed based on machine vision and machine learning. This paper presents the machine learning approach and the effectiveness of the instrument for in-process measurement of the finished surfaces.
Citation
Syam, W. P., Leach, R., Rybalcenko, K., Gaio, A., & Crabtree, J. (2018). In-process measurement of the surface quality for a novel finishing process for polymer additive manufacturing. Procedia CIRP, 75, 108-113. https://doi.org/10.1016/j.procir.2018.04.088
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 26, 2018 |
Online Publication Date | Sep 3, 2018 |
Publication Date | Sep 3, 2018 |
Deposit Date | Jun 25, 2018 |
Publicly Available Date | Sep 3, 2018 |
Journal | Procedia CIRP |
Electronic ISSN | 2212-8271 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 75 |
Pages | 108-113 |
DOI | https://doi.org/10.1016/j.procir.2018.04.088 |
Keywords | In-process measurement; Additive manufacturing; Machine learning; Machine vision |
Public URL | https://nottingham-repository.worktribe.com/output/928806 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S221282711830605X?via%3Dihub |
Additional Information | 15th CIRP Conference on Computer Aided Tolerancing - CIRP CAT 2018. June 11th-13th, Milan, Italy |
Contract Date | Jun 25, 2018 |
Files
In-process measurement of the surface quality
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PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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