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Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature

  • Liu Yang
  • Boyu Wang
  • Jack C. P. Cheng
  • Peipei Liu
  • Hoon Sohn

Directed energy deposition (DED) is a major metal additive manufacturing (AM) technology that is increasingly used in many industries due to its ability to manufacture complex components of arbitrary shapes and sizes. However, a lack of timely geometry assessment and the consequent geometry control hinders the development of DED towards zero defect manufacturing. In this study, a real-time geometry assessment methodology is developed for laser pow-der directed energy deposition (LP-DED). A geometry assessment system is developed using a laser line scanner capable of inspecting the melt pool area, the just solidified area, as well as layer-wise inspection. An image processing method with an encoder-decoder based profile completion network was developed to obtain accurate track profile in images from real-time inspection. Experiments have been conducted to validate the proposed methodology by depositing multi-layer X-shape objects

  • Keywords:
  • Additive Manufacturing,
  • Directed energy deposition,
  • Real-time geometry assessment,
  • Laser line scanning,
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Liu Yang

The Hong Kong University of Science and Technology, Hong Kong - ORCID: 0000-0003-4455-4921

Boyu Wang

The Hong Kong University of Science and Technology, Hong Kong - ORCID: 0000-0003-0119-548X

Jack C. P. Cheng

University of Hong KongThe Hong Kong University of Science and Technology, Hong Kong - ORCID: 0000-0002-1722-2617

Peipei Liu

Southeast University, China

Hoon Sohn

Korea Advanced Institute of Science Technology, Korea (the Republic of) - ORCID: 0000-0001-9337-6653

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  • Publication Year: 2023
  • Pages: 965-976

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  • Publication Year: 2023

Chapter Information

Chapter Title

Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature

Authors

Liu Yang, Boyu Wang, Jack C. P. Cheng, Peipei Liu, Hoon Sohn

DOI

10.36253/979-12-215-0289-3.97

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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