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Proceedings Paper

Integrated inspection system for improved machine performance
Author(s): Jong-I Mou; M. Alkan Donmez
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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)

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