Reconstruction of sculptured surface using coordinate measuring machines

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Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Other Author Hsieh,Yuan C.
Title Reconstruction of sculptured surface using coordinate measuring machines
Date 1993
Description This paper presents a strategy for reverse engineering that uses a coordinate measur ing machine to reconstruct three dimensional sculptured surfaces. A rough initial model of the surface is generated manually. An iterative method is then used to refine the surface model until the error is within a desired bound. The reverse engineering process is broken down into three phases data acquisition surface reconstruction and surface evaluation. For data acquisition an exhaustive search algorithm is used to find a safe probe orientation in the vicinity of the target surface and a coarse cell decomposition method is followed to manipulate the coordinate measuring machine in its work space. Surfaces are modeled using a B spline approximation technique. The position difference between the surface model and the measured data is used as a simple criterion to evaluate the quality of the reconstructed surface model. Several examples of the use of this technique are presented including a sculptured pocket a model of compressor blade surfaces and two physical models of the human bones. Criteria for evaluating the performance of the obstacle avoidance algorithm are discussed and the results are presented. In addition the quality of the surface models is also presented.
Type Text
Publisher University of Utah
Subject Reconstruction; Sculptured surface; Coordinate measuring machines
Subject LCSH Reverse engineering; Surfaces -- Computer simulation
Language eng
Bibliographic Citation Hsieh,Y. C. (1993). Reconstruction of sculptured surface using coordinate measuring machines. UUCS-93-010.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 482,203 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6k6527q
Setname ir_uspace
ID 703326
Reference URL https://collections.lib.utah.edu/ark:/87278/s6k6527q
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