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TECHNICAL PAPERS

Three Dimensional Imaging of LIGA-Made Microcomponents

[+] Author and Article Information
Douglas Chinn

Sandia National Laboratories, P.O. Box 5800, MS0603 Albuquerque, NM 87185

Peter Ostendorp

Dartmouth College, HB 8000, Hanover, NH 03755

Mike Haugh, Russell Kershmann

Resolution Sciences Corporation, 685 Northern Ave., Mill Valley, CA 94941

Thomas Kurfess, Andre Claudet, Thomas Tucker

Georgia Institute of Technology, Woodruff School of Mechanical Engineering, Atlanta, GA 30332

J. Manuf. Sci. Eng 126(4), 813-821 (Feb 04, 2005) (9 pages) doi:10.1115/1.1812774 History: Received February 09, 2004; Revised September 01, 2004; Online February 04, 2005
Copyright © 2004 by ASME
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References

Figures

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(a) 3D images if tissues. A false color chick embryo. (b) A plant root, also in false color. The “bounding box” surrounding the object is an aid to the eye and can be removed with software. Further processing can enhance different details of objects imaged with DVI.
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The LIGA process. After plating, the PMMA is dissolved and the parts are released from the substrate.
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A schematic of the Digital Volumetric Imaging process
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(a) 3D image of LIGA gear: After the stack of 2D images has been converted to the proprietary format, a 3D image emerges. This 3D rendering can be cropped and rotated. (b) 2D cross section showing one slice of a gear. (c) Surface detection: RESView software performs an edge threshold surface detection algorithm on a 3D dataset, enabling the metrological inspection of complex 3D geometries. The above image of a LIGA gear has been cropped from above to demonstrate that interior image information has been removed, leaving only sidewalls. The surface generated is 1 voxel thick throughout. (d) CAD model of a gear. See Table 2 for details.
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Error map: By performing normal point-to-surface calculations, Paraform’s inspection module creates an error map of the LIGA gear that shows clearly where deviations from design geometry occur. Deviations are strongest near the gear hub. The error scale is in units of microns.
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(a) A DVI image of a brass ball bearing. (b) That same ball imaged relative to a sphere model, showing surface defects. (c) A DVI image of another ball matched to a CAD model of a sphere, which shows imperfections in the manufacturing process. The region at the top is missing data where the remaining partial sphere fell out of the mold. (d) A SEM image of a brass ball for comparison. DVI shows surface phenomena that cannot be seen by SEM. The original DVI images are in color. These ball bearings have been measured by a variety of techniques. Using calipers, the ball measured 1.54–1.57 mm, using a calibrated SEM image by counting pixels, the ball measured 1.567 mm, with an edge selected by eyeball, and using DVI we measured 1.571 and 1.568 mm in X and Y directions. The errors noted are typical—as can be seen from the images above, the exact location of the surface varies.
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(a) A complete nickel alloy spring with surface defects. (b) A deeper section of the same part, showing that the bottom defects are primarily on the surface, but the one small hole near the top leads to a large void within the spring.
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A 2D image of the oval void in Fig. 6 showing the fine detail of this imaging technique.

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