J. Mou et al., AN ADAPTIVE ERROR-CORRECTION METHOD USING FEATURE-BASED ANALYSIS TECHNIQUES FOR MACHINE PERFORMANCE IMPROVEMENT .2. EXPERIMENTAL-VERIFICATION, Journal of engineering for industry, 117(4), 1995, pp. 591-600
The development and derivation of an adaptive error correction method
using an interactive inspection system and feature-based analysis tech
nique for machine performance improvement were presented in Part 1 of
this paper. Here, in Part 2, the experimental verification of the deri
ved feature-based residual error models and analysis technique is desc
ribed in derail. The experimental procedure and results of both the pr
ocess-intermittent and the post-process gauging are presented. A polyn
omial regression method is used to derive the parametric functions tha
t represent the deviation of imperfect features from nominal. The outp
ut of these polynomial functions is compared with process-intermittent
inspection data to determine the machine errors and then to identify
the residual systematic errors. Feature-based residual error models ar
e used to correlate the residual errors to the systematic residual err
or components. Inverse kinematics technique and multiple regression me
thods are used to identify and characterize the contribution of each e
rror component as a function of the machine's temperature profile and
nominal position. The residual error components are then combined with
the error components identified through the pre-process characterizat
ion process to refine the geometric-thermal error model. After the err
or model is adaptively fine tuned, it can be used more effectively to
compensate the machine tool error for more precise manufacturing.