Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0924-0136(03)00048-7
Title: Modelling cloud data for prototype manufacturing
Authors: Liu, G.H.
Wong, Y.S. 
Zhang, Y.F. 
Loh, H.T. 
Keywords: Cloud data
Rapid prototyping
Reverse engineering
Segmentation
Issue Date: 20-Jul-2003
Source: Liu, G.H., Wong, Y.S., Zhang, Y.F., Loh, H.T. (2003-07-20). Modelling cloud data for prototype manufacturing. Journal of Materials Processing Technology 138 (1-3) : 53-57. ScholarBank@NUS Repository. https://doi.org/10.1016/S0924-0136(03)00048-7
Abstract: In this paper, the authors have developed a novel method to integrate reverse engineering (RE) and rapid prototyping (RP). Unorganised cloud data are directly sliced and modelled with two-dimensional (2D) cross-sections. Based on such a 2D CAD model, the data points are directly converted into RP slice data and fed to an RP machine for fabricating. In this process, neither a surface model nor a STL file is generated. This is accomplished from the 3D data points in several steps: first, the cloud data are sliced into a number of layers along a user-specified direction. The points in each layer are projected onto a plane. Secondly, the points on each plane are sorted and compressed. Data point smoothing is then carried out using a discrete curvature based method. Thirdly, a local interpolating method is used for adding additional points to the slice-lines having insufficient points. Fourthly, the cross-sections between every two neighbouring planes are created by directly connecting the feature points (FPs) with straight-line segments. Finally, an RP layered file is generated for an SLA machine. The developed methods have been implemented with C/C++ on the Unigraphics platform. © 2003 Elsevier Science B.V. All rights reserved.
Source Title: Journal of Materials Processing Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/73635
ISSN: 09240136
DOI: 10.1016/S0924-0136(03)00048-7
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