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Control of involute curve of gear tooth using the fuzzy logic

Published online by Cambridge University Press:  26 September 2012

B. Bloul*
Affiliation:
Laboratory of Reliability of The Oil Equipments and The Materials, University of Boumerdès, Faculty of hydrocarbons and chemistry, Algeria
A. Bourdim
Affiliation:
University Aboubeker Belkaid Tlemcen faculty of engineering, Algeria
*
Correspondence: benattia69@gmail.com
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Abstract

Three dimensional coordinate metrology is a firmly established technique in industry. Scanning technology is now widely used in coordinate metrology and is increasingly used for the measurement of small features. This paper presents a new real shape approach to closest point inspection involutes curve of gear tooth by coordinate measuring machinery (CMM). This method aims to select the most likely contact point for each successive arc by applying geometrical criteria and a fuzzy logic estimator. This method is particularly, but not exclusively, suitable for the metrology of features with small radii as well as metrological discontinuities. It does not require obtaining the normal vector traditionally used for probe tip correction. Elapsed time is 144.09 s. Tests have been done on limps of machine tool speed (pinion type cutter), which is highly applied in our country.

Type
Research Article
Copyright
© EDP Sciences 2012

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References

Wozniak, A., Mayer, J.R.R., Balazinski, M., Stylus tip envelop method : corrected measured point determination in high definition coordinate metrology, Int. J. Adv. Manuf. Technol. 42, 505514 (2009) CrossRefGoogle Scholar
Boukebbab, S., Bouchenitfa, H., Boughouas, H., Linares, J.M., Applied iterative closest point algorithm to automated inspection of gear box tooth, Comput. Ind. Eng. 52, 162173 (2007) CrossRefGoogle Scholar
A. Wozniak, J.R.R. Mayer, Micro-features measurement using meso, Recent Advances in Mechatronics (Springer, 2007), Part 5, pp. 621–626
Li, Z.X., Gou, J.B., Chu, X.Y., Geometric algorithms for work piece localization, IEEE Trans. Robot. Autom. 14, 864878 (1998) Google Scholar
S. Achiche, Z. Fan, L. Baron, A. Wozniak, M. Balazinski, T. Sorensen, 3D CMM strain-gauge triggering probe error characteristics modeling using fuzzy logic (IEEE, 2008)
A. Wozniak, R. Mayer, M. Balazinski, Application of fuzzy knowledge base for corrected measured point determination in coordinate metrology (IEEE, 2007)
Chen, Chen-Yuan, Lin, Jeng-Wen, Lee, Wan-I, Chen, Cheng-Wu, Fuzzy control for an oceanic structure : a case study in time-delay TLP system, J. Vib. Control 16, 147160 (2010) CrossRefGoogle Scholar
Wozniak, A., Dobosz, Methods of testing of static in accuracy of the CMM scanning probe, Metrology and Measurement Systems 2, 191203 (2003) Google Scholar
Jyh-Shing Roger Jang, Chuen-Tsai Sun, E. Mizutani, Neuro-fuzzy and soft computing a computational approach to learning and machine integence (Library of congress cataloging in Publication data, 1997)