CAD Data Composition Method from 3D Sensed Data Based on Feature Extraction

Yashiki, Tatsurou; Sadaoka, Noriyuki; Sunou, Megumi; Takagi, Tarou

doi:10.2493/jjspe.73.593

Cited by 1 publication

(1 citation statement)

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“…Reverse engineering is adopted for functional parts such as engine parts of cars, etc. In this case, CAD data constructed during parts design and numerical models are compared to evaluate and analyze part design and function, and the information acquired is then fed back to the manufacturing process to improve quality [1,2].…”

Section: Introductionmentioning

confidence: 99%

Automatic Reverse Engineering Based on Reconstructing Measurement Data in 3D-Lattice

Tsushima

Aoyama²

2012

KEM

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Reverse engineering systems are used to construct mathematical models of physical models such as clay model based on measurement data. In this study, we proposed a reverse engineering method which can construct high quality surface data automatically. This method consists of the following steps; The first globally and regionally smooths measured data based on the target shape by fitting quadric surface to measurement data. The second defines quadric surfaces and converts measurement points into 3D lattice points to obtain uniform measurement data density. As the positions of measurement data are converted from coordinate values into 3D lattice points, it is easier to find neighboring points and clarify neighboring relations between surfaces. The third acquires segment measurement data based on maximum curvatures and normals at each point. The last defines NURBS surfaces for each segment using the least square method to average positional errors. In order to validate the effectiveness of the proposed method, we developed a reverse engineering system and constructed mathematical models through basic experiments using clay car model measurement data.

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Section: Introductionmentioning

confidence: 99%