Paper
29 November 1993 Integrated inspection system for improved machine performance
Jong-I Mou, M. Alkan Donmez
Author Affiliations +
Proceedings Volume 2063, Vision, Sensors, and Control for Automated Manufacturing Systems; (1993) https://doi.org/10.1117/12.164969
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jong-I Mou and M. Alkan Donmez "Integrated inspection system for improved machine performance", Proc. SPIE 2063, Vision, Sensors, and Control for Automated Manufacturing Systems, (29 November 1993); https://doi.org/10.1117/12.164969
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Error analysis

Inspection

Spindles

Algorithm development

Manufacturing

System integration

Data modeling

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