Integration of deviation zone evaluation and point measurement planning in coordinate metrology
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Reliable inspection of a manufactured part with coordinate Metrology demands excessive time to provide higher accuracy. The uncertainty of inspection highly depends on the number and location of points acquired during the measurement process. Isolation of the three main computational tasks in coordinate Metrology increases the overall inspection uncertainty drastically. Developing methodologies to integrate PMP and DZE is the main objective in this research. The developed solution for DZE solves Laplace equation around each measured point; while the sampling is guided by a Gaussian probability density function to model the manufacturing error on a fabricated part. The proposed dynamic sampling is studied on actual manufactured parts with a virtual approach to test the ability of the method.