Mathematical model of trajectory planning for measuring precision spatial surfaces on a coordinate measuring machine

Authors

DOI:

https://doi.org/10.18372/2073-4751.80.19769

Keywords:

coordinate measuring machine, spatial surfaces, trajectory optimization, B-splines, quality functional, measurement uncertainty, thermoelastic deformations, adaptive strategy, curvature tensor, metrological assurance

Abstract

The paper presents a novel approach to optimizing the probe tip trajectory of a coordinate measuring machine when inspecting complex spatial surfaces. A comprehensive mathematical model has been developed, incorporating B-spline trajectory representation, system dynamics modeling, and a stochastic measurement error model. A quality functional is proposed that accounts for surface geometric features, system dynamic characteristics, thermal deformations, and vibrational effects. A trajectory optimization algorithm based on sequential quadratic programming has been developed. The algorithm convergence and measurement uncertainty estimation methods are theoretically substantiated. Tensor analysis of local surface topology and a thermoelastic deformation model are presented. An adaptive measurement strategy with dynamic trajectory parameter correction is proposed.

References

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Published

2025-03-13

Issue

Section

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