An Adaptive Error Correction Method Using Feature-Based Analysis Techniques for Machine Performance Improvement, Part 1: Theory Derivation

[+] Author and Article Information
J. Mou, M. A. Donmez

Automated Production Technology Division, National Institute of Standards and Technology, Gaithersburg, MD 20899-0001

S. Cetinkunt

Department of Mechanical Engineering, University of Illinois, Chicago, IL 60680

J. Eng. Ind 117(4), 584-590 (Nov 01, 1995) (7 pages) doi:10.1115/1.2803537 History: Received June 01, 1994; Revised August 01, 1994; Online January 17, 2008


An adaptive error correction method using a feature-based analysis technique for improving the accuracy of CNC machine tools is presented. The method described in this paper emphasizes the integration of the process-intermittent gauging and analysis techniques with information from pre-process characterization and post-process inspection. The proposed method utilizes the information from pre-process characterization, process-intermittent gauging, and post-process inspection to improve machine performance automatically. Algorithms are derived for analyzing the post-process and process-intermittent inspection data to decouple process-related errors from machine errors and for identifying the residual systematic errors. A feature-based analysis technique is developed to relate the dimensional and form errors of manufactured features to the systematic machine tool errors. Inverse kinematics and statistical methods are used to identify and characterize the contribution of each residual error component on imperfect features. Also a recursive tuning algorithm is developed for fine tuning the geometric-thermal model.

Copyright © 1995 by The American Society of Mechanical Engineers
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