International Journal of Precision Engineering and Manufacturing

Korean Society for Precision Engineering (한국정밀공학회)
권호 표지

Applying an Artificial Neural Network to the Control System for Electrochemical Gear-Tooth Profile Modifications

  • Jianjun, Yi (Department of Mechanical Engineering, East China University of Science and Technology) ;
  • Yifeng, Guan (Department of Mechanical Engineering, East China University of Science and Technology) ;
  • Baiyang, Ji (HangZhou Sunyard System Engineering Co. Ltd.) ;
  • Bin, Yu (Department of Mechanical Engineering, East China University of Science and Technology) ;
  • Jinxiang, Dong (College of Computer Science, Zhejiang University)
  • Published : 2007.10.01
Download PDF
⟨ Previous Next ⟩

Abstract

Gears, crucial components in modern precision machinery for power transmission mechanisms, are required to have low contacting noise with high torque transmission, which makes the use of gear-tooth profile modifications and gear-tooth surface crowning extremely efficient and valuable. Due to the shortcomings of current techniques, such as manual rectification, mechanical modification, and numerically controlled rectification, we propose a novel electrochemical gear-tooth profile modification method based on an artificial neural network control technique. The fundamentals of electrochemical tooth-profile modifications based on real-time control and a mathematical model of the process are discussed in detail. Due to the complex and uncertain relationships among the machining parameters of electrochemical tooth-profile modification processes, we used an artificial neural network to determine the required processing electric current as the tooth-profile modification requirements were supplied. The system was implemented and a practical example was used to demonstrate that this technology is feasible and has potential applications in the production of precision machinery.

Keywords

References

  1. Yi, J., Zhang, M. and Xu, Z., 'Comparison and Analyses of Several Techniques for Automotive Gear-Tooth Profile Rectification,' Automotive Material and Technology, Vol. 11, No. 3, pp. 21-23, 1999
  2. Zhizhao, W., Lianwen, Y., Jingjing, Z. and Younian, L., 'Research on a New Technique for Gear-Tooth Profile Rectification,' Electrical Machining, Vol. 5, No. 4, pp. 22-26, 1999
  3. Yi, J., Ming, Z. and Xu, Z., 'Theoretical Research for Automotive Gear-Tooth Profile Rectification,' Automotive Technology, Vol. 10, No. 12, pp. 44-46, 1997
  4. Yi, J., 'Research on the Theory of Automotive Gear Modification and New Technology of its Electrochemical Modification based on Intelligent Control,' Ph.D. dissertation, Dalian University of Technology, 1999
  5. Yi, J., Yang, T. and Zhou, J., 'New Electrochemical Process for Gear-Tooth Profile Modification,' Manufacturing Technology and Modern Machines, Vol. 9, No. 1, pp. 102-105, 2000
  6. Zhang, M., Yi, J., Zhou, J. and Xu, Z., 'Research on Microcosmic Gear-Tooth Surface Appearance and the Friction Characteristics of Electrochemical Gear-Tooth Profile Modification,' Transactions of the Dalian University of Technology, Vol. 2, No. 3, pp. 159-173, 1999
  7. Yi, J., Wang, T. and Zhou, J., 'Introduction for Analyzing a Technique for Gear-Tooth Profile Modification and its New Technology,' Mechanical Design and Manufacturing, Vol. 10, No.4, pp. 47-49, 1999
  8. Zhang, M., Yi, J., Zhou, J. and Xu, Z., 'Numerical Simulation of Electric Fields for Internal Gear Modification with ECM,' Journal of the Dalian University of Technology, Vol. 40, No. 3, pp. 323-325, 2000
  9. Yi, J., Yang, T., Zhou, J. and Wang, T., 'Research on a New Technology of Electrochemical Gear-Tooth Profile Modification based on Intelligent Controlling,' Electrical Machining and Modules, Vol. 2, No. 1, pp. 36-39, 2000
  10. Yi, J., Zhou, J. and Hu, D., 'Real-Time Control for Electrochemical Gear-Tooth Profile Modification,' Machine Manufacturing, Vol. 39, No. 440, pp. 14-16, 2001
  11. Chen, F. C. and Liu, C. C., 'Adaptively Controlling a Nonlinear Continuous Time System using Multiplayer Neural Networks,' IEEE Transactions of Automation and Control, Vol. 39, No. 6, pp. 1306-1310, 1994 https://doi.org/10.1109/9.293202
  12. Bellazi, R., Siviero, C., Stefanelli, M. and DeNicolao, G., 'Adaptive Controller for Intelligent Monitoring,' Artificial Intelligence in Medicine, Vol. 7, No. 1, pp. 515-540, 1995 https://doi.org/10.1016/0933-3657(95)00025-X
  13. Jagannathan, S. and Lewis, F. L., 'Multi-Layer Discrete-Time Neural Net Controller with Guaranteed Performance,' IEEE Transactions of Automation and Control, Vol. 7, No. 1, pp. 107-130, 1996
  14. Donat, S., Bhat, N. and McAvoy, T., 'Neural Net-based Model Predictive Control,' International Journal of Control, Vol. 54, No. 6, pp. 1453-1468, 1991 https://doi.org/10.1080/00207179108934221
  15. Temeng, H., Schenelle, P. and McAvoy, T., 'Model Predictive Control of an Industrial Packed Bed Reactor Using Neural Networks,' Journal of Process Control, Vol. 5, No. 1, pp. 19-28, 1995 https://doi.org/10.1016/0959-1524(95)95942-7
  16. Draeger, A., Engell, S. and Ranke, H., 'Model Predictive Control Using Neural Networks,' IEEE Control Systems, Vol. 3, Issue 5, pp. 61-66, 1995 https://doi.org/10.1109/87.370711
  17. Zamarrefio, J. and Vega, P., 'Identification and Predictive Control of a Melter Unit from the Sugar Industry Using Recurrent Neural Nets,' Proceedings of EANN96, pp. 119-126, 1996
  18. Yi, J., Zheng, J., Yang, T. and Xia, D., 'Solving the Control Problem for Electrochemical Gear-tooth Profile Modification using ANN,' International Journal of Advanced Manufacturing Technology, Vol. 19, No. 1, pp. 8-13, 2002 https://doi.org/10.1007/PL00003970
  19. Horng, R. H., Lin, L. R. and Lee, A. C., 'LuGre Model-Based Neural Network Friction Compensator in a Linear Motor Stage,' International Journal of Precision Engineering and Manufacturing, Vol. 7, No. 2, pp. 18-24, 2006
  20. Ro, S. K., Kyung, J. H. and Park, J. K., 'Runout Control of a Magnetically Suspended High Speed Spindle Using Adaptive Feedforward Method,' International Journal of Precision Engineering and Manufacturing, Vol. 6, No. 2, pp. 19-25, 2005
  21. Kim, J. Y., Yoon, S. U. and Kim, C. H., 'Development and Characterization of Pattern Recognition Algorithm for Defects in Semiconductor Packages,' International Journal of Precision Engineering and Manufacturing, Vol. 5, No. 3, pp. 11-18, 2004
  22. Song, C. K. and Khim, G. H., 'Improvement of Tracking Accuracy of Positioning Systems with Iron Core Linear DC Motors,' International Journal of Precision Engineering and Manufacturing, Vol. 6, No. 1, pp. 31-35, 2005