Effect Of The Error Propagation Rates In Developing A Skin Model Of Measured Surfaces In Coordinate Metrology
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Coordinate metrology is the most commonly used inspection method to analyze surfaces for manufacturing errors and imperfections. The computational in today’s coordinate metrology are composed of a series of extensive computational tasks. Developing a triangulated skin model using a finite element method is an approach to construct a surface based on the discrete measured points, which can be used for integrated computational algorithms reducing the uncertainty of the inspection process. Reducing the errors in developing the skin model by calibrating the two main parameters of the algorithm, which specify the propagation of the geometric deviations in two orthogonal directions, is the objective in this work. By varying theses propagation parameters and tracking the overall error of the constructed skin model, their effects are evaluated. Various cases are studied and the resulting patterns of the errors for different surfaces are used to make suggestions on selection of the two parameters resulting accurate construction of the skin model of the measured work pieces based on the coordinate metrology data. This will provide a reliable technique to develop the skin model of the manufactured products for quality control, manufacturing process control, or repair and finishing of the products.