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Additive manufacturing based on optimized mask video projection for improved accuracy and resolution

  • University of Southern California

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Additive manufacturing (AM) processes based on mask image projection such as digital micro-mirror devices (DMD) have the potential to be fast and inexpensive. More and more research and commercial systems have been developed based on such digital devices. However, the accuracy and resolution of the related AM processes are constrained by the limited number of mirrors in a DMD. In this paper, a novel AM process based on the mask video projection has been presented. For each layer, a set of mask images instead of a single image are planned based on the principle of optimized pixel blending. The planned images are then projected in synchronization with the small movement of the building platform. A mask image planning method has been presented for the formulated optimization problem. Experimental results have verified that the mask video projection process can significantly improve the accuracy and resolution of built components.

Original languageEnglish
Title of host publication39th North American Manufacturing Research Conference 2011 - Transactions of the North American Manufacturing Research Institution of SME
Pages125-134
Number of pages10
StatePublished - 2011
Event39th Annual North American Manufacturing Research Conference, NAMRC39 - Corvallis, OR, United States
Duration: Jun 13 2011Jun 17 2011

Publication series

NameTransactions of the North American Manufacturing Research Institution of SME
Volume39
ISSN (Print)1047-3025

Conference

Conference39th Annual North American Manufacturing Research Conference, NAMRC39
Country/TerritoryUnited States
CityCorvallis, OR
Period06/13/1106/17/11

Keywords

  • Additive manufacturing
  • Mask image projection
  • Optimized pixel blending
  • Process optimization
  • Solid freeform fabrication

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