Automated inspection process planning: Algorithmic inspection feature recognition, and inspection case representation for CBR
General metrological inspection planning is among the least explored computer-aided process planning (CAPP) domains. This paper explores certain basic issues involved in inspection planning using case-based reasoning in an environment of a Generic CAPP Support System. Firstly, algorithmic methods for characterizing and extracting inspection features are proposed and discussed. A sequential knowledge based filtering method is developed to reduce the number of inspection features typically encountered in metrological inspection planning. Finally, a formalized approach for case representation of relevant inspection domain knowledge using a newly developed parametric-list technological feature graph (PLTFG) is presented.
inspection process planning cbr computer-aided process planning capp case-based reasoning generic capp support system parametric-list technological feature graph pltfg ai artificial intelligence caipp computer-aided inspection process planning ce concurrent engineering cmm coordinate measuring machine cvta concave triggering algorithm cxta convex triggering algorithm eweds enhanced winged edge data structure gcappss gfr geometric feature recognition ipp mpp machining process planning qtc quick turnaround cell rfsa root face segmentation algorithm tfr technological feature recognition