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Spraying Parameters Selection Based on Predicted Equipment Status: A Study on Measured Voltage

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A Correction to this article was published on 24 May 2023

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Abstract

Previous work conducted on atmospheric plasma spraying has shown the importance of including the measured gun voltage in the modeling procedure to improve the outputs prediction quality. Given a set of controllable input parameters, the produced coating specifications are influenced by the gun voltage measured during the spraying process. As the gun voltage can only be measured once the coating process has started, making predictions about the expected voltage is necessary to better select the process inputs that produce a coating with desired specifications. We suggest that the gun voltage is related to the status of the manufacturing equipment. Exploiting voltage information, we propose a modeling and configuration procedure that uses Gaussian process regression and Kalman filtering to reduce the impact of session-to-session equipment changes as well as in-session equipment wearing. We then demonstrate this approach in simulation and experiments, using an industrial atmospheric plasma spraying setup to produce YSZ coatings.

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Acknowledgments

This project has been funded by the Swiss Innovation Agency (Innosuisse), grant Nr. 37896, and by the Swiss National Science Foundation under NCCR Automation.

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Authors and Affiliations

  1. Automatic Control Laboratory, ETH Zurich, Zurich, Switzerland

    Xavier Guidetti, Alisa Rupenyan & John Lygeros

  2. Inspire AG, Zurich, Switzerland

    Xavier Guidetti & Alisa Rupenyan

  3. Equipment Digitalization Team, Oerlikon Metco, Wohlen, Switzerland

    Ehsan Fallahi Sichani & Majid Nabavi

Authors
  1. Xavier Guidetti
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  2. Alisa Rupenyan
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  3. Ehsan Fallahi Sichani
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  4. Majid Nabavi
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  5. John Lygeros
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Corresponding author

Correspondence to Majid Nabavi.

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This article is an invited paper selected from presentations at the 2022 International Thermal Spray Conference, held May 4–6, 2022 in Vienna, Austria, and has been expanded from the original presentation. The issue was organized by André McDonald, University of Alberta (Lead Editor); Yuk-Chiu Lau, General Electric Power; Fardad Azarmi, North Dakota State University; Filofteia-Laura Toma, Fraunhofer Institute for Material and Beam Technology; Heli Koivuluoto, Tampere University; Jan Cizek, Institute of Plasma Physics, Czech Academy of Sciences; Emine Bakan, Forschungszentrum Jülich GmbH; Šárka Houdková, University of West Bohemia; and Hua Li, Ningbo Institute of Materials Technology and Engineering, CAS.

The original online version of this article was revised: When originally published, the HTML version of the article did not include the special issue tagline. The special issue tagline has been added to the HTML version of the article.

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Guidetti, X., Rupenyan, A., Sichani, E.F. et al. Spraying Parameters Selection Based on Predicted Equipment Status: A Study on Measured Voltage. J Therm Spray Tech 32, 523–531 (2023). https://doi.org/10.1007/s11666-022-01489-8

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