Geometric Analysis and Computation Using Layered Depth-Normal Images for Three-Dimensional Microfabrication

Tsz Ho Kwok*, Yong Chen, Charlie C.L. Wang

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedingChapterpeer-review

Abstract

Additive manufacturing (AM) is a direct manufacturing process that provides the ability to fabricate parts with complex shape. Robust geometric computation is essential to deal with the complex geometry. Current geometric computation methods based on the boundary representation (B-rep) explicitly define and compute geometry. However, such approaches lack in simplicity and are prone to robustness problems. In this chapter, a point-based geometric computation method based on the Layered Depth-Normal Image (LDNI) is presented. A set of computation algorithms are developed for this new point-based method, including the conversions between the LDNI and B-rep models, the offsetting and the Boolean geometric operations, etc. A number of test cases has shown the robustness of the developed geometric operations, and a set of Computer-Aided Design and Manufacturing (CAD/CAM) applications related to the complex component design and manufacturing has also been explored.

Original languageEnglish
Title of host publicationThree-Dimensional Microfabrication Using Two-Photon Polymerization
Subtitle of host publicationA volume in Micro and Nano Technologies
EditorsTommaso Baldacchini
PublisherElsevier BV
Chapter5
Pages119-147
Number of pages29
ISBN (Electronic)9780323354059
ISBN (Print)9780323353212
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • Additive manufacturing
  • Computer-aided design
  • Layered depth-normal images
  • Stereolithography

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