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APPLICATION BRIEFS

Verification of Scanned Engineering Parts with CAD Models Based on Discrete Curvature Estimation

[+] Author and Article Information
B. Lipshitz

Laboratory for Computer Graphics and CAD, Department of Mechanical Engineering,  Technion-Israel Institute of Technology, Haifa, Israel

A. Fischer1

Laboratory for Computer Graphics and CAD, Department of Mechanical Engineering,  Technion-Israel Institute of Technology, Haifa, Israel

1

Email: meranath@technion.ac.il

J. Comput. Inf. Sci. Eng 5(2), 116-117 (Feb 15, 2005) (2 pages) doi:10.1115/1.1887192 History: Received August 17, 2004; Revised February 15, 2005

The manufacturing industry constantly needs to verify machined objects against their original CAD models. Given a prototype design, an engineer should be able to determine whether the part was manufactured well; that is, whether it fits the CAD model exactly. However, derivative computations are unstable for real data, and the estimated curvature is thus very sensitive to noise. Moreover, in many cases, spatial fitting of corresponding points is not sufficient. The current work utilizes the curvature properties to inspect manufactured parts that have been reconstructed from noisy and densely sampled data.

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Copyright © 2005 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

(a) Squeezed ping-pong ball (9904 vertices); (b) Gaussian curvature; (c) mean curvature

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Figure 2

(a) Sheet metal mechanical part (15204 vertices); (b) Gaussian curvature; (c) mean curvature

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Figure 3

(a) Face mask (11 765 vertices); (b) Gaussian curvature; (c) mean curvature

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Figure 4

(a) Partial model of teeth (10 486 vertices); (b) Gaussian curvature; (c) mean curvature

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Figure 5

Verification process by curvature analysis of a squeezed ping-pong ball against its CAD model: (a) scanned squeezed ping-pong ball; (b) CAD model; (c) Gaussian curvature deviation map, maximum deviates by 600%; (d) mean curvature deviation, maximum deviates by 330%.

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