Automated inspection of ground metallic components

F. D. Schroeder; Horst-Artur Crostack

doi:10.1117/12.196078

23 November 1994 Automated inspection of ground metallic components

F. D. Schroeder, Horst-Artur Crostack

Proceedings Volume 2249, Automated 3D and 2D Vision; (1994) https://doi.org/10.1117/12.196078
Event: Optics for Productivity in Manufacturing, 1994, Frankfurt, Germany

Abstract

The automatic grinding of casted components handled by industrial robots gains increasing importance especially in connection with free formed surfaces. This paper describes an automatically working quality assurance cell that is able to test and evaluate the grinding results. Within this task image processing algorithms are used combined with simulated classifying neural networks to get at first a quality feature for the shape of free formed surfaces. The second step of the quality testing procedure is the search for surface flaws. They can be detected by adapted image filtering algorithms using polarized lighting sources. Another trained neural net supports this testing process, too. Herewith it is possible to detect and classify point and linear defects lying on the surface. By the examination of the scattering cone of infrared light sent to the surface microscopic defects such as roughness deviations off the target value are detected. These techniques have now been applied to armatures that are produced in the sanitary industry. The testing results are adapted to the needs of a control loop and transmitted to the grinding cell for a detailed touching up of the surface, if necessary.

Citation Download Citation

F. D. Schroeder and Horst-Artur Crostack "Automated inspection of ground metallic components", Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); https://doi.org/10.1117/12.196078

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available