J. Mou et al., AN ADAPTIVE ERROR-CORRECTION METHOD USING FEATURE-BASED ANALYSIS TECHNIQUES FOR MACHINE PERFORMANCE IMPROVEMENT .1. THEORY DERIVATION, Journal of engineering for industry, 117(4), 1995, pp. 584-590
An adaptive error correction method using a feature-based analysis tec
hnique for improving the accuracy of CNC machine tools is presented. T
he method described in this paper emphasizes the integration of the pr
ocess-intermittent gauging and analysis techniques with information fr
om pre-process characterization and post-process inspection. The propo
sed method utilizes the information from pre-process characterization,
process-intermittent gauging, and post-process inspection to improve
machine performance automatically. Algorithms are derived for analyzin
g the post-process and process-intermittent inspection data to decoupl
e process-related errors from machine errors and for identifying the r
esidual systematic errors. A feature-based analysis technique is devel
oped to relate the dimensional and form errors of manufactured feature
s to the systematic machine tool errors. Inverse kinematics and statis
tical methods are used to identify and characterize the contribution o
f each residual error component on imperfect features. Also a recursiv
e tuning algorithm is developed for fine tuning the geometric-thermal
model.