Share Email Print

Proceedings Paper

Integrated inspection system for improved machine performance
Author(s): Jong-I Mou; M. Alkan Donmez
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An integrated inspection system for improving the accuracy of CNC machine tools is proposed. The system described in this paper emphasizes the integration of the on-machine inspection and analysis techniques with the information coming from post-process and on- machine inspection to improve machine performance automatically. Algorithms are derived for analyzing the post-process and on-machine inspection data to identify residual systematic errors and relate them to the machine performance. Various data analysis algorithms and techniques are compared. A feature comparison approach is developed to relate the dimensional and form errors of a manufactured workpiece to the systematic machine tool errors. Inverse kinematics technique and statistical methods are used to identify and characterize the contribution of each geometric error component. A self tuning algorithm is also proposed to fine tune the geometric-thermal model.

Paper Details

Date Published: 29 November 1993
PDF: 10 pages
Proc. SPIE 2063, Vision, Sensors, and Control for Automated Manufacturing Systems, (29 November 1993); doi: 10.1117/12.164969
Show Author Affiliations
Jong-I Mou, Univ. of Illinois/Chicago (United States)
M. Alkan Donmez, National Institute of Standards and Technology (United States)

Published in SPIE Proceedings Vol. 2063:
Vision, Sensors, and Control for Automated Manufacturing Systems
Scott S. Breidenthal; Alan A. Desrochers, Editor(s)

© SPIE. Terms of Use
Back to Top