|
For these concepts non-contact measurements with image processing sensors have significant benefits for data acquisition in rapidity and a high grade of flexibility. New effective measurement strategies can be developed in effect of the quality controlling in the machining area. These includes classical geometric measurement applications from optical 2D but also options for 3D measurement tasks like determining roughness or other typical image processing applications. This paper presents the challenges for the implementation of an optical sensor system in the machining area of milling centers. Primarily a suitable location in the machining area must be found and an associated strategy has to be developed. The integrated optical image sensor system should be protect against impurity and does not derogate in his functionality. For the full integration as a quality control loop, the results must feed into the machine control. Thus a further interface between measurement program and a machine control is necessary. Another major field of research exists in the optical components. Especially the illumination, image sensor and lens are selected and adaptable for the measurement tasks after the considerations of the above-mentioned basic requirements. The presented research provides a suitable solution to make the CNC manufacture more efficient. Quality controls of the work piece can be executed within the CNC process and potential post processing can be performed simultaneously. |
ACCESS THE FULL ARTICLE
No SPIE Account? Create one
Sensors
Image processing
Optical sensors
Image sensors
Control systems
Process control
Manufacturing
