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Partitioning is essential in the smart verification process when measurements are conducted using modern instruments, such as a CT scanner. Numerous partitioning methods are commonly designed for scenes rather than for geometrical products. This paper introduces a novel method to partition geometrical elements from the measured data of the workpiece containing geometrical deviation and refines the points attribution problem at part boundaries. Firstly, a partition algorithm based on the coarse boundaries is presented. Then, a boundary refinement process is proposed to improve the partition result. A measured data set is taken as an example to verify the feasibility of the proposed method. [ABSTRACT FROM AUTHOR]

This paper proposes a method for adapting the layout of flexible workpieces of various shapes, in order to reduce the difficulty of location design for personalized shapes. Different from the previous location design that relied on the experiences of engineers, this method establishes an optimization model that determines the number of datum points and the optimal solution based on the centroid characteristics of the workpieces. The optimization index of this model is to control the minimum deformation of the overall flexible workpieces and the minimum variance of the deformation at the maximum deformation point. Taking the characteristics of the workpieces as a priori constraints for location determination, this model obtains the optimal solution combined with finite element analysis. Finally, the effectiveness of the method is verified through a numerical example. [ABSTRACT FROM AUTHOR]