0
TECHNICAL PAPERS

On-Line Monitoring of Tool Wear and Control of Dimensional Inaccuracy in Turning

[+] Author and Article Information
S. K. Choudhury, V. K. Jain, S. Rama Krishna

Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India 208016

J. Manuf. Sci. Eng 123(1), 10-12 (Jan 01, 2000) (3 pages) doi:10.1115/1.1334863 History: Received November 01, 1998; Revised January 01, 2000
Copyright © 2001 by ASME
Topics: Wear , Turning , Optical fiber
Your Session has timed out. Please sign back in to continue.

References

E. M. Trent, 1984, Metal Cutting, Butterworths and Co. Ltd.
Shiraishi,  M., 1979, “In-process Control of Workpiece Dimensions in Turning,” CIRP Ann., 28, pp. 333–337.
Lim,  G. H., 1995, “Tool Wear Monitoring in Machine Turning,” J. Mater. Process. Technol., 51, pp. 25–36.
Sanjanwala,  A., Choudhury,  S. K., and Jain,  V. K., 1990, “On-line Tool Wear Sensing and Compensation during Turning Operation,” Precis. Eng., 12, No. 2, pp. 81–84.
Fan,  K. C., and Chao,  Y. H., 1991, “In-process Dimensions Control of the Workpiece during Turning,” Precis. Eng., 13, No. 1, pp. 27–32.
Shiraishi,  M., and Sato,  S., 1990, “Dimensional and Surface Roughness Controls in Turning Operation,” ASME J. Eng. Ind., 112, pp. 78–83.
Jin,  W. L., Venuvinod,  P. K., and Wang,  X., 1995, “An Optical Fibre Sensor Based Cutting Force Measuring Device,” Int. J. Mach. Tools Manuf., 35, No. 6, pp. 877–883.
Micheletti,  G. F., Koenig,  W., and Victor,  H. R., 1976, “In-process Tool Sensors for Cutting Operations,” CIRP Ann., 25, No. 2, pp. 483–496.
Choudhury,  S. K., Jain,  V. K., and Rama Rao,  Ch. V. V., 1998, “On-line Monitoring of Tool Wear in Turning using a Neural Network,” Int. J. Mach. Tools Manuf., 39, No. 3, pp. 489–504.
Cochran, W. C., and Cox, G. M., 1977, Experimental Design, Asia Publishing House, India.
Shiva Rama Krishna, 1998, “On-line Monitoring of Tool Wear and Control of Dimensional Inaccuracy in Turning,” M. Tech. thesis, IIT Kanpur, August.
Dimla,  D. E., Lister,  P. M., and Leighton,  N. J., 1997, “Neural Network Solutions to the Tool Condition Monitoring Problem in Metal Cutting - A Critical review of Methods” Int. J. Mach. Tools Manufact., 37, No. 9, pp. 1219–1941.
Looney,  G. Carl, 1996, “Advances in Feed Forward Neural Networks: Demystifying Knowledge Acquiring Black Boxes,” IEEE Trans. of Knowledge and Data Engineering, 6, No. 2, pp. 211–225.
Purushothaman,  S., and Srinivasa,  Y. G., 1994, “A Back Propagation Algorithm Applied to Tool wear Monitoring,” Int. J. Mach. Tools Manufact., 34, No. 5, p. 625.

Figures

Grahic Jump Location
Schematic diagram of the experimental set up
Grahic Jump Location
Dimensional inaccuracy with and without feed back (cutting speed - 30.47 m/min; feed - 0.2 mm/rev.; depth of cut - 0.5 mm.)
Grahic Jump Location
Dimensional inaccuracy with and without feed back (cutting speed - 67.7 m/min; feed - 0.15 mm/rev.; depth of cut - 0.65 mm.)
Grahic Jump Location
Comparison of measured and predicted values of flank wear

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In