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A Decision-Supportive Structured Light Monitoring System for Additive Manufacturing Part Surface Profiling

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European Workshop on Structural Health Monitoring (EWSHM 2022)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 254))

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Abstract

Additive manufacturing (AM) processes are rapidly maturing and being adopted in numerous industrial sectors. One of the big challenges with many AM processes is the need for part quality control, either in post-manufactured assessment or in-situ during the build. This paper presents a low-cost structured light system (using camera and projector) that exploits digital fringe projection to achieve surface profiling of AM parts. Additionally, a probability density function of the surface profile is derived, helping the measurement process to provide the probabilistic support required for AM part quality control decisions. Results from a prototype system on AM parts are demonstrated.

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Authors and Affiliations

  1. University of California San Diego, La Jolla, CA, 92093-0085, USA

    Niall M. O’Dowd & Michael D. Todd

  2. Los Alamos National Laboratory, Los Alamos, NM, 87545, USA

    Adam J. Wachtor

  3. Additive Monitoring Systems, Lemont, IL, 60439, USA

    Niall M. O’Dowd

Authors
  1. Niall M. O’Dowd
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  2. Adam J. Wachtor
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  3. Michael D. Todd
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Corresponding author

Correspondence to Michael D. Todd .

Editor information

Editors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USA

    Piervincenzo Rizzo

  2. Department of Engineering, University of Palermo, Palermo, Italy

    Alberto Milazzo

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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O’Dowd, N.M., Wachtor, A.J., Todd, M.D. (2023). A Decision-Supportive Structured Light Monitoring System for Additive Manufacturing Part Surface Profiling. In: Rizzo, P., Milazzo, A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2022. Lecture Notes in Civil Engineering, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-031-07258-1_91

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  • DOI: https://doi.org/10.1007/978-3-031-07258-1_91

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07257-4

  • Online ISBN: 978-3-031-07258-1

  • eBook Packages: EngineeringEngineering (R0)

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