Abstract

The error compensations on probe parameters were proposed to improve the measurement accuracy of an articulated arm coordinate measuring machines (AACMM). An AACMM’s probe parameters were analyzed and a measurement model including probe parameters solely was built. A simple cone socket components were used as a calibration tool and the LM algorithm was edited to solve the probe parameters. The results show that the average measurement error dealt with the probe parameters recalibration is 0.044mm, and its standard deviation is 0.050mm. They have increased by about 31% and 33% than those without recalibration.

Highlights

  • An articulated arm coordinate measuring machine (AACMM) [1] is one kind of CMMs

  • We put forward a spatial error model based on functional networks and validated the new error model and the approximate algorithm on the results of precision measurement experiment [10], and adopted the SVM method to find a way to build the different error model[11]

  • It is clear that the measurement accuracy of AACMM dealt with the probe parameters recalibration is superior to the accuracy of no calibration

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Summary

Introduction

An articulated arm coordinate measuring machine (AACMM) [1] is one kind of CMMs. Comparing with conventional orthogonal CMM, its measurement precision is lower for its complicated structure in series and others. We put forward a spatial error model based on functional networks and validated the new error model and the approximate algorithm on the results of precision measurement experiment [10], and adopted the SVM method to find a way to build the different error model[11]. The existing researches help to improve AACMM’s measurement accuracy, but they don’t consider the factors of probe parameters separately. We discuss how to build the probe parameter model, to do sample experiments and to calibrate the probe parameters It is significant and helpful for primary operators because the sample method for the probe parameters is simpler than those for the whole structural parameters, and the former’s calibration time is shorter

Probe parameter model
Calibration experiment
Parameters calibration
Precision comparison
Findings
Conclusions
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