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Optical metrology for digital manufacturing: a review

Catalucci, Sofia; Thompson, Adam; Piano, Samanta; Branson, David T; Leach, Richard

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Authors

Sofia Catalucci

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DAVID BRANSON DAVID.BRANSON@NOTTINGHAM.AC.UK
Professor of Dynamics and Control



Abstract

With the increasing adoption of Industry 4.0, optical metrology has experienced a significant boom in its implementation, as an ever-increasing number of manufacturing processes are overhauled for in-process measurement and control. As such, optical metrology for digital manufacturing is currently a hot topic in manufacturing research. Whilst contact coordinate measurement solutions have been adopted for many years, the current trend is to increasingly exploit the advantages given by optical measurement technologies. Smart automated non-contact inspection devices allow for faster cycle times, reducing the inspection time and having a continuous monitoring of process quality. In this paper a review for the state of the art in optical metrology is presented, highlighting the advantages and impacts of the integration of optical coordinate and surface texture measurement technologies in digital manufacturing processes. Also, the range of current software and hardware technologies for digital manufacturing metrology is discussed, as well as strategies for zero-defect manufacturing for greater sustainability, including examples and in-depth discussions of additive manufacturing applications. Finally, key current challenges are identified relating to measurement speed and data-processing bottlenecks; geometric complexity, part size and surface texture; user-dependent constraints, harsh environments and uncertainty evaluation.

Journal Article Type Review
Acceptance Date Mar 21, 2022
Online Publication Date Apr 1, 2022
Publication Date Jun 1, 2022
Deposit Date May 5, 2022
Publicly Available Date May 5, 2022
Journal The International Journal of Advanced Manufacturing Technology
Electronic ISSN 1433-3015
Publisher Springer Science and Business Media LLC
Peer Reviewed Peer Reviewed
Volume 120
Issue 7-8
Pages 4271-4290
DOI https://doi.org/10.1007/s00170-022-09084-5
Keywords Industrial and Manufacturing Engineering; Computer Science Applications; Mechanical Engineering; Software; Control and Systems Engineering
Public URL https://nottingham-repository.worktribe.com/output/7755314
Publisher URL https://link.springer.com/article/10.1007/s00170-022-09084-5

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