EAP - Estonian Journal of Engineering Publications

Estonian Journal of Engineering

2013 2012 2011 Vol. 17, Issue 4 Vol. 17, Issue 3 Vol. 17, Issue 2 Vol. 17, Issue 1 2010 2009 2008

Open Access Journal

In-process determining of the working mode in CNC turning; pp. 4–16

PDF | doi: 10.3176/eng.2011.1.02

Authors

Tanel Aruväli, Risto Serg, Jürgo Preden, Tauno Otto

Abstract

Autonomous embedded computers that form a sensor network can be applied in various fields. In the domain of industrial manufacturing, sensor networks can be employed for detecting events or phenomena of interest at the shop floor. Sensor network nodes collect and process data, transmitting sensed and fused information either to a central database or directly to the handheld computer, used by the production manager. Smart dust can be used at CNC machine tools for measuring vibration, noise and other essential parameters. These parameters can give a signal for unsuitable cutting conditions. Implemented experiments were made using wired solutions, but wireless solutions are proposed. The proposed solution helps to detect changes in shop floor and predict possible problems, thus avoiding unplanned pauses in production. It is shown that different working modes can be detected using in-process monitoring.

References

1. Tiwaria, A. and Lewis, F. L. Wireless sensor network for machine condition based maintenance. In Proc. 8th International Conference on Control, Automation, Robotics and Vision. Kunming, 2004, 461–467.

2. Wright, P., Dornfeld, D. and Ota, N. Condition monitoring in end-milling using wireless sensor networks (WSNs). Trans. NAMRI/SME, 2008, 36, 177–183.

3. Shin, B., Kim, G., Choi, J., Jeon, B., Lee, H., Cho, M., Han, J. and Park, D. A web-based machining process monitoring system for E-manufacturing implementation. J. Zhejiang Univ., SCIENCE A, 2006, 7, 1467–1473.

4. Xu, X. Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control: Principles and Implementation. Information Science Reference, New York, 2009.

5. Zhao, F. and Guibas, L. Wireless Sensor Networks: An Information Processing Approach. Morgan Kaufmann Series in Networking, San Francisco, Ca, 2004.

6. Tangjitsitcharoen, S. and Senjuntichal, A. Monitoring of surface roughness in CNC turning process. In Annals of DAAAM 2010 & Proc. (Katalinic, B., ed.). DAAAM International Vienna, Vienna, 2010, 1391–1392.

7. Koç, M., Ni, J., Lee, J. and Bandyopadhyay, P. Introduction to e-manufacturing. Int. J. Agile Manufact., 2003, 6, 97-1–97-9.

8. Haenggi, M. Opportunities and challenges in wireless sensor networks. In Smart Dust: Sensor Network Applications, Architecture and Design (Mahgoub, I. and Ilyas, M., eds). Taylor & Francis, Boca Raton, 2006, 1-1–1-14.
doi:10.1201/9781420003062.ch1

9. Meyer, H., Fuchs, F. and Thiel, K. Manufacturing Execution Systems: Optimal Design, Planning, and Deployment. McGraw Hill, New York, 2009.

Back to Issue

→ Back issues