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Proceedings Paper

Quality control of saw blades based on neural networks and laser vibration measurements
Author(s): Herbert Brandt; Heinz-Wolfgang Lahmann; Richard Weber
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Paper Abstract

The performance of a machining process using saw blades depends on the quality of the resulting cross-sectional area. This is determined by parameters like e.g. vibration and axial stiffness of the saw blade. These parameters are itself established by the respective materials, the dimensions of the saw blade and its tension. To evaluate the quality of a saw blade we propose neural networks to analyze vibration measurements.

Paper Details

Date Published: 23 August 1996
PDF: 6 pages
Proc. SPIE 2868, Second International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, (23 August 1996); doi: 10.1117/12.248630
Show Author Affiliations
Herbert Brandt, GFE eV (Germany)
Heinz-Wolfgang Lahmann, GFE eV (Germany)
Richard Weber, Management Intelligenter Technologien GmbH (Germany)


Published in SPIE Proceedings Vol. 2868:
Second International Conference on Vibration Measurements by Laser Techniques: Advances and Applications

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