Wahyudin P. Syam
Methodology for the development of in-line optical surface measuring instruments with a case study for additive surface finishing
Syam, Wahyudin P.; Rybalcenko, Konstantin; Gaio, Andre; Crabtree, Joseph; Leach, Richard K.
Authors
Konstantin Rybalcenko
Andre Gaio
Joseph Crabtree
RICHARD LEACH richard.leach@nottingham.ac.uk
Chair in Metrology
Abstract
The productivity rate of a manufacturing process is limited by the speed of any measurement processes at the quality control stage. Fast and effective in-line measurements are required to overcome this limitation. Optical instruments are the most promising methods for in-line measurement because they are faster than tactile measurements, able to collect high-density data, can be highly flexible to access complex features and are free from the risk of surface damage. In this paper, a methodology for the development of fast and effective in-line optical measuring instruments for the surfaces of parts with millimetre- to micrometre-size is presented and its implementation demonstrated on an industrial case study in additive manufacturing. Definitions related to in-line measurement and barriers to implementing in-line optical measuring instruments are discussed.
Citation
Syam, W. P., Rybalcenko, K., Gaio, A., Crabtree, J., & Leach, R. K. (2019). Methodology for the development of in-line optical surface measuring instruments with a case study for additive surface finishing. Optics and Lasers in Engineering, 121, 271-288. https://doi.org/10.1016/j.optlaseng.2019.04.015
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 14, 2019 |
Online Publication Date | Apr 29, 2019 |
Publication Date | Oct 1, 2019 |
Deposit Date | Apr 29, 2019 |
Publicly Available Date | May 2, 2019 |
Journal | Optics and Lasers in Engineering |
Print ISSN | 0143-8166 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 121 |
Pages | 271-288 |
DOI | https://doi.org/10.1016/j.optlaseng.2019.04.015 |
Keywords | Optical metrology; Machine vision; In-line measurement; Additive manufacturing; Machine learning; On-line; In-process |
Public URL | https://nottingham-repository.worktribe.com/output/1850291 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0143816619301472 |
Additional Information | This article is maintained by: Elsevier; Article Title: Methodology for the development of in-line optical surface measuring instruments with a case study for additive surface finishing; Journal Title: Optics and Lasers in Engineering; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.optlaseng.2019.04.015; Content Type: article; Copyright: © 2019 The Authors. Published by Elsevier Ltd. |
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