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Machine Vision and Navigation pp 711–732Cite as

Detection and Tracking of Melt Pool in Blown Powder Deposition Through Image Processing of Infrared Camera Data

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Abstract

Blown powder deposition is an additive manufacturing procedure and has the ability to fabricate complicated and intricate geometries with excellent material properties. Reliable fabrication of complicated shapes and geometries necessitates precise control over the fabrication process. In order to do so, process monitoring tools capable of visualizing various phenomena that occur during the deposition process are needed. Knowledge of process dynamics is critical in optimizing and developing robust and effective deposition procedures.

The work presented in the current chapter involves the incorporation of an Infra-Red (IR) camera as a vision-based monitoring tool for blown powder deposition process. The data processing methodology necessary for analyzing IR data is also presented. In this chapter, the thermal history of the process was captured under different powder feed settings. These deposition processes were performed under the control of vision-based closed loop control systems. Using the IR camera, the influence of the control systems was captured as the thermal history of the deposits. This data was analyzed for tracking changes in the area of the material near solidus temperature.

The later section of the chapter focuses on further dissecting thermographic data to identify the material above the solidus temperature. Image processing techniques related to edge detection were used to identify these regions. The IR camera data was also used to track the regions of interest through the deposition and make other characteristic observations pertaining to phase change in relation to thin wall geometry.

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Abbreviations

AM:

Additive manufacturing

BPD:

Blown powder deposition

CCD:

Charge coupled device

CNC:

Computer numerical control

IR:

Infra-red

JSR:

Just solidified region

LoG:

Laplacian of Gaussian

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Acknowledgments

The financial support from National Science Foundation Grant # CMMI-1625736 and the Intelligent Systems Center (ISC) at Missouri S&T is appreciated.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO, USA

    Sreekar Karnati & Frank F. Liou

Authors
  1. Sreekar Karnati
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  2. Frank F. Liou
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Correspondence to Sreekar Karnati .

Editor information

Editors and Affiliations

  1. Universidad Autónoma de Baja California, Mexicali, Baja California, Mexico

    Oleg Sergiyenko

  2. Universidad Autónoma de Baja California, Mexicali, Baja California, Mexico

    Wendy Flores-Fuentes

  3. Leuphana University of Lueneburg, Lueneburg, Low Saxony, Niedersachsen, Germany

    Paolo Mercorelli

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Karnati, S., Liou, F.F. (2020). Detection and Tracking of Melt Pool in Blown Powder Deposition Through Image Processing of Infrared Camera Data. In: Sergiyenko, O., Flores-Fuentes, W., Mercorelli, P. (eds) Machine Vision and Navigation. Springer, Cham. https://doi.org/10.1007/978-3-030-22587-2_22

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  • DOI: https://doi.org/10.1007/978-3-030-22587-2_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22586-5

  • Online ISBN: 978-3-030-22587-2

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