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Mesh-offset-based method to generate a delta volume to support the maintenance of partially damaged parts through 3D printing

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Abstract

Three-dimensional (3D) printing technology is an excellent tool for implementing multi item, small scale production or for manufacturing objects of complex shape, and has been utilized in many areas of daily life. One typical application is parts maintenance. For a partially damaged part to be repaired using a 3D printer, it is essential to generate a delta volume for the damaged area. A typical method of delta volume generation is to create a mesh using Delaunay triangulation or Poisson surface reconstruction from the point cloud of a laser scan of the damaged part and to perform a boolean subtraction operation with the mesh of the original part. However, when generating the delta volume, this method is prone to error due to noise, non-uniform sampling, and missing data in the point cloud. To address this problem, we propose a mesh offset based method capable of robust delta volume generation despite point cloud noise. This method consists of four steps: preprocessing, point cloud extraction, mesh extraction, and delta volume extraction. To experimentally validate the proposed method, a prototype system was developed and a numerical implementation was performed for a partially damaged ball valve.

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Abbreviations

P d :

Point cloud of the partially damaged part

M o :

Original mesh model

DV damaged :

Delta volume of the partially damaged area

P d’ :

Point cloud with outliers removed

P sampling :

Sampled points from original mesh

P registered :

Registered point cloud

P segmented :

Point cloud of the partially damaged area

M segmented :

Mesh of the partially damaged area

M offset :

Offset mesh

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Acknowledgments

This research was supported by the Industrial Core Technology Development Program (Project ID: 20009324) funded by the Korea government (MOTIE), by the AI-based Gasoil Plant O&M Core Technology Development Program (Project ID: 21ATOG-C161932-01) funded by the Korea government (MOLIT), and by the Basic Science Research Program (Project ID: NRF-2019R1F1A1053542) through the National Research Foundation of Korea (NRF) funded by the Korea government (MSIT).

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Authors and Affiliations

  1. Korea Institute of Machinery and Materials, 156 Gajeongbuk-ro, Yuseong-gu, Daejeon, 34103, Korea

    Youngki Kim

  2. School of Industrial Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi-si, Kyeongsangbuk-do, 39177, Korea

    Kiyoun Kwon

  3. School of Mechanical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea

    Duhwan Mun

Authors
  1. Youngki Kim
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  2. Kiyoun Kwon
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Corresponding author

Correspondence to Duhwan Mun.

Additional information

Youngki Kim is a Post Doctor of the Korea Institute of Machinery and Materials, Daejeon, South Korea. He received his Ph.D. in Mechanical Engineering from Korea Advanced Institute of Science and Technology. His research interests are in CAD data translation, 3D CAD model reconstruction and 3D printing.

Ki-Youn Kwon is an Assistant Professor at the School of Industrial Engineering, the Kumoh National Institute of Technology. He has received his Ph.D. from KAIST, and a M.S. and B.S. from Korea University. His research interests are computer-aided design, computer-aided manufacturing, mesh generation, digital collaboration, cad model exchange, dimensional quality management. His application domains are all industries related to mechanical engineering such as automobile, shipbuilding and plant.

Duhwan Mun is a Professor at the School of Mechanical Engineering at Korea University. He received a B.S. in Mechanical Engineering from Korea University; an M.S. and Ph.D. in Mechanical Engineering from KAIST. His research interests include CAD, industrial data standards, PLM, knowledge-based engineering, virtual reality for engineering applications, and 3D printing.

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Kim, Y., Kwon, K. & Mun, D. Mesh-offset-based method to generate a delta volume to support the maintenance of partially damaged parts through 3D printing. J Mech Sci Technol 35, 3131–3143 (2021). https://doi.org/10.1007/s12206-021-0635-8

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  • DOI: https://doi.org/10.1007/s12206-021-0635-8

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