Experimental evaluation of a smart machining system for feedrate selection and tool condition monitoring

Transactions of the North American Manufacturing Research Institute of SME

Volumn 34, Issue , 2006, Pages 151-158

  Xu, Min ^a   Schuyler, Chad K ^a   Fussell, Barry K ^a   Jerard, Robert B ^a  

^a Univ of New Hampshire   (United States)

Author keywords

Feedrate Selection; Smart Machine Tools; Tool Condition Monitoring

Indexed keywords

FEEDRATE SELECTION; SMART MACHINE TOOLS; TOOL CONDITION MONITORING;

ALGORITHMS; COMPUTATIONAL GEOMETRY; CONDITION MONITORING; DATA ACQUISITION; MATHEMATICAL MODELS; OPTIMIZATION;

MACHINING;

EID: 33748710491     PISSN: 10473025     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Cakir, M. C., and A. Gurarda, (2000), "Optimization of machining conditions for multi-tool milling operations," International Journal of Production Research, Vol. 38, No. 15, pp. 3537-3552.
2. Choi, B. K. and R. B. Jerard, (1998), Sculptured Surface Machining, Kluwer Academic Publishers, pp. 251-253, 284-286.
3. Dimla, Sr., D. E., (2000), "Sensor signals for tool-wear monitoring in metal cutting operations - a review of methods," International Journal of Machine Tools and Manufacture, Vol. 40, pp. 1073-1098.
4. Fussell, B. K., R. B. Jerard and J. G. Hemmett, (2001), "Robust Feedrate Selection for 3-axis Machining Using Discrete Models," ASME Journal of Manufacturing Science and Engineering, Vol. 123, No. 2, pp. 214-224.
5. Jemielniak, K., (1999), "Commercial Tool Condition Monitoring Systems," International Journal of Advanced Manufacturing Technology, Vol. 15, No. 10, pp. 711-721.
6. Jerard, R. B., B. K. Fussell, M. Xu, and C. K. Schuyler, (2005), "Smart Machine Tool Architecture," Proceedings of 2005 NSF DMII Grantees Conference, Jan. 3-6, 2005, Scottsdale, Arizona.
7. Liang, S. Y., R. L. Hecker, and R. G. Landers, (2002) "Machining process monitoring and control: The state-of-the art," Proceedings of IMECE 2002, ASME International Mechanical Engineering .Congress & Exposition, Paper No.:IMECE2002-MED-32640.
8. Load Controls Incorporated, Universal Power Cell, http://www. loadcontrols.com
9. Machinability Data Center, (1980), Machining Data Handbook, 3rd ed., Institute of Advanced Manufacturing Sciences, Inc.
10. Manufacturing Data Systems Inc.., Ann Arbor, MI, MDSI OpenCNC, http://www.mdsi2.com
11. Measurement Computing Corporation, PCI-DAS6402/16, http://www. measurementcomputing.com
12. Predator Software Inc., Predator Virtual CNC, http://www.predator- software.com/virtualcnc.htm
13. Prickett, P. W. and C. Johns, (1999), "An overview of approaches to end milling tool monitoring," International Journal of Machine Tools and Manufacture, Vol. 39, pp. 105-122.
14. Rehorn, A. G., J. Jiangand, and P. E. Orban, (2004), "State-of-the- art methods and results in tool condition monitoring: a review," International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-004-2038-2.
15. Schuyler, C.K., M.Xu, R.B. Jerard and B.K. Fussell, (2006), Cutting power model-sensor integration for a smart machining system, NAMRI Conference, in review.
16. Shao, H., H. L. Wang, and X. M. Zhao, (2004), "A cutting power model for tool wear monitoring in milling," International Journal of Machine tools and Manufacture, Vol. 44, pp. 1503-1509.
17. Tolouei-rad, M. and I. M. Bidhendi, (1997), "On the Optimization of Machining Parameters for Milling Operations," International Journal of Machine Tools and Manufacture, Vol. 37, No. 1, pp.1-16.
18. Wang, J. and E. J. Armarego, (2001), "Computer-Aided Optimization of Multiple Constraint Single Pass Face Milling Operations," Machining Science and Technology, Vol. 5, No. 1, pp. 77-99.