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 |