Segmentation of Dimensionally-Large Rapid Prototyping Objects

An algorithm was developed to enable efficient segmentation of dimensionally-large objects into smaller components that can be fabricated within the given Rapid Prototyping (RP) machine workspace. The algorithm uses vertical and horizontal flat plane cuts, as well as feature-based volume decompositi...

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Main Authors: Tang, Y., Loh, Han Tong, Fuh, J.-Y.-H., Wong, Y.-S., Lee, S.-H.
Format: Article
Language:English
Published: 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/3756
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author Tang, Y.
Loh, Han Tong
Fuh, J.-Y.-H.
Wong, Y.-S.
Lee, S.-H.
author_facet Tang, Y.
Loh, Han Tong
Fuh, J.-Y.-H.
Wong, Y.-S.
Lee, S.-H.
author_sort Tang, Y.
collection MIT
description An algorithm was developed to enable efficient segmentation of dimensionally-large objects into smaller components that can be fabricated within the given Rapid Prototyping (RP) machine workspace. The algorithm uses vertical and horizontal flat plane cuts, as well as feature-based volume decomposition. Due considerations were given to the optimisation of the surface accuracy, the build time, the strength and the number of segments generated by the segmentation process. A computer-aided design (CAD) application programme that interfaces with Unigraphics (UG) was also developed to allow import of objects in Standard Triangulated Language (STL) files into UG without loss of accuracy. In addition, the application software provides the functions that facilitate the implementation of the segmentation algorithm in UG. Two case studies were carried out using the algorithm in a Selective Laser Sintering (SLS) RP system. The resulting objects had properties that matched the research objectives with which the proposed algorithm was validated.
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spelling mit-1721.1/37562019-04-12T08:09:15Z Segmentation of Dimensionally-Large Rapid Prototyping Objects Tang, Y. Loh, Han Tong Fuh, J.-Y.-H. Wong, Y.-S. Lee, S.-H. computer-aided design (CAD) rapid prototyping (RP) selective laser sintering (SLS) segmentation An algorithm was developed to enable efficient segmentation of dimensionally-large objects into smaller components that can be fabricated within the given Rapid Prototyping (RP) machine workspace. The algorithm uses vertical and horizontal flat plane cuts, as well as feature-based volume decomposition. Due considerations were given to the optimisation of the surface accuracy, the build time, the strength and the number of segments generated by the segmentation process. A computer-aided design (CAD) application programme that interfaces with Unigraphics (UG) was also developed to allow import of objects in Standard Triangulated Language (STL) files into UG without loss of accuracy. In addition, the application software provides the functions that facilitate the implementation of the segmentation algorithm in UG. Two case studies were carried out using the algorithm in a Selective Laser Sintering (SLS) RP system. The resulting objects had properties that matched the research objectives with which the proposed algorithm was validated. Singapore-MIT Alliance (SMA) 2003-11-29T20:57:20Z 2003-11-29T20:57:20Z 2003-01 Article http://hdl.handle.net/1721.1/3756 en Innovation in Manufacturing Systems and Technology (IMST); 420052 bytes application/pdf application/pdf
spellingShingle computer-aided design (CAD)
rapid prototyping (RP)
selective laser sintering (SLS)
segmentation
Tang, Y.
Loh, Han Tong
Fuh, J.-Y.-H.
Wong, Y.-S.
Lee, S.-H.
Segmentation of Dimensionally-Large Rapid Prototyping Objects
title Segmentation of Dimensionally-Large Rapid Prototyping Objects
title_full Segmentation of Dimensionally-Large Rapid Prototyping Objects
title_fullStr Segmentation of Dimensionally-Large Rapid Prototyping Objects
title_full_unstemmed Segmentation of Dimensionally-Large Rapid Prototyping Objects
title_short Segmentation of Dimensionally-Large Rapid Prototyping Objects
title_sort segmentation of dimensionally large rapid prototyping objects
topic computer-aided design (CAD)
rapid prototyping (RP)
selective laser sintering (SLS)
segmentation
url http://hdl.handle.net/1721.1/3756
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