The development of a complete system of inspection and quality control of manufactured parts requires the coordination of a set of complex processes allowing data acquisition, their dimensional evaluation and their comparison with a reference model. By definition, the parts inspection is the comparison between measurement results and the theoretical surfaces definition in order to check the conformity after manufacturing phase. The automation of this function is currently based on alignment methods of measured points resulting from an acquisition process and these nominal surfaces, in a way that they ''fit best''. The distances between nominal surface and measured points (i.e. form defects) calculated after alignment stages are necessary for the correction of the manufacturing parameters (Henke, Summerhays, Baldwin, Cassou, & Brown, 1999) . In this work, a method for automated control based on association of complex surfaces to a cloud points using the Iterative Closest Point (I.C.P.) algorithm for alignment stage is proposed. An industrial application concerning a tooth gear manufactured in our country's tractor engines is presented.
The development for a complete system of inspection and quality control of manufactured parts requires the coordination of a set of complex processes to allow data acquisition, dimensional evaluation, and comparison with a reference process model REF .
Applied iterative closest point algorithm to automated inspection of gear box tooth
Comput. Ind. Eng.
Comput. Ind. Eng.
Engineering Computer Science