Quality control of saw blades based on neural networks and laser vibration measurements

Herbert Brandt; Heinz-Wolfgang Lahmann; Richard Weber

doi:10.1117/12.248630

23 August 1996 Quality control of saw blades based on neural networks and laser vibration measurements

Herbert Brandt, Heinz-Wolfgang Lahmann, Richard Weber

Proceedings Volume 2868, Second International Conference on Vibration Measurements by Laser Techniques: Advances and Applications; (1996) https://doi.org/10.1117/12.248630
Event: Second International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, 1996, Ancona, Italy

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.

Citation Download Citation

Herbert Brandt, Heinz-Wolfgang Lahmann, and Richard Weber "Quality control of saw blades based on neural networks and laser vibration measurements", Proc. SPIE 2868, Second International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, (23 August 1996); https://doi.org/10.1117/12.248630

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