Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Authors
Kim, YoungkiKwon, KiyounMun, Duhwan
Issue Date
Jul-2021
Publisher
KOREAN SOC MECHANICAL ENGINEERS
Keywords
3D printer; Delta volume generation; Mesh offset; Part maintenance; Partially damaged part
Citation
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.35, no.7, pp.3131 - 3143
Journal Title
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
Volume
35
Number
7
Start Page
3131
End Page
3143
URI
https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/19361
DOI
10.1007/s12206-021-0635-8
ISSN
1738-494X
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, nonuniform 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
School of Industrial Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher KWON, KI YOUN photo

KWON, KI YOUN
College of Engineering (Department of Industrial Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE