An optimization selecting method for flatness measuring by a three-coordinate measuring machine

Abstract

The invention provides an optimization selecting method for flatness measuring by a three-coordinate measuring machine. Firstly, a system error mode is determined through measuring parts in a same production system which are sequentially sampled at intervals. Then, the system error mode of parts surfaces is integrated with a taboo search algorithm, and the disadvantage of traditional taboo search algorithm that an initial solution is excessively depended is overcome. Finally, measured sample points when the three-coordinate measuring machine is measuring parts surfaces are generated though searching. The measured sample points generated by the invention can rapidly cover a limiting point of a whole plane through measuring relatively less sampled points. A measuring path is planned through measured sample points set formed by selected sampled points, so that the measuring precision and the measuring efficiency of the three-coordinate measuring machine can be effectively raised, and the flatness morphology and the processing texture of the parts are more accurately reflected, and the defects of conventional measured sampled points selecting that precision and efficiency can not be given equal consideration, and the searching of sampled points by the taboo search algorithm requires human correction of initial sample points are overcome.

Description

technical field [0001] The invention relates to the technical field of part surface flatness measurement, in particular to a method for optimally selecting sample points for measuring flatness by a three-coordinate measuring machine. Background technique [0002] In the precision manufacturing process, the requirements for the size and shape accuracy of parts are getting higher and higher. In order to be able to effectively measure and control the size and shape accuracy of parts, it is particularly important to improve the accuracy of measurement results and the efficiency of the measurement process. As an important shape and position accuracy of parts, the manufacturing accuracy of surface flatness is required to be higher and higher, which puts forward higher requirements for accurate measurement of flatness. Among them, the three-coordinate measuring machine is the most commonly used flatness measuring equipment in the industrial field. There are two main factors that ...

AI Technical Summary

Problems solved by technology

Although this technology can well adapt to parts of different geometric shapes and sizes, it does not take the measurement accuracy as the optimization goal when performing sample reduction for blocks with different geometric features, so it cannot guarantee that the reduced measurement samples will reach the original accuracy, especially When there are multiple blocks with different geometric features for the same part, the measurement accuracy cannot be effectively guaranteed, which violates the goal of optimal selection of the sample points of the three-coordinate measuring machine

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