Sensor-assisted method for on-line flank wear estimation in turning processes

Sagar V. Kamarthi, Soundar R.T. Kumara, Paul H. Cohen

Research output: Contribution to conferencePaper

Abstract

This paper describes a sensor-assisted method for on-line flank wear estimation in turning processes. This method, unlike most of the existing ones, predicts continually the gradually increasing flank wear on a cutting tool. This method is tested on individual as well as different combinations of force, vibration, and acoustic emission sensors. The performance of the flank wear estimation method is studied by conducting extensive turning experiments on AISI 6150 steel workpiece and K68 (C2) grade uncoated carbide inserts. The average percent flank wear estimation error for different sensor combinations, for the range of operating conditions that were used during neural network training, is between -0.91% and 12.97%. The results indicate that the proposed estimation method provides flank wear estimates good enough for most real-world turning processes.

Original languageEnglish (US)
Pages461-466
Number of pages6
StatePublished - Dec 1 1997
EventProceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC - Miami Beach, FL, USA
Duration: May 17 1997May 18 1997

Other

OtherProceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC
CityMiami Beach, FL, USA
Period5/17/975/18/97

Fingerprint

Wear of materials
Sensors
Cutting tools
Acoustic emissions
Error analysis
Vibrations (mechanical)
Carbides
Neural networks
Steel
Experiments

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Kamarthi, S. V., Kumara, S. R. T., & Cohen, P. H. (1997). Sensor-assisted method for on-line flank wear estimation in turning processes. 461-466. Paper presented at Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC, Miami Beach, FL, USA, .
Kamarthi, Sagar V. ; Kumara, Soundar R.T. ; Cohen, Paul H. / Sensor-assisted method for on-line flank wear estimation in turning processes. Paper presented at Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC, Miami Beach, FL, USA, .6 p.
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abstract = "This paper describes a sensor-assisted method for on-line flank wear estimation in turning processes. This method, unlike most of the existing ones, predicts continually the gradually increasing flank wear on a cutting tool. This method is tested on individual as well as different combinations of force, vibration, and acoustic emission sensors. The performance of the flank wear estimation method is studied by conducting extensive turning experiments on AISI 6150 steel workpiece and K68 (C2) grade uncoated carbide inserts. The average percent flank wear estimation error for different sensor combinations, for the range of operating conditions that were used during neural network training, is between -0.91{\%} and 12.97{\%}. The results indicate that the proposed estimation method provides flank wear estimates good enough for most real-world turning processes.",
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Kamarthi, SV, Kumara, SRT & Cohen, PH 1997, 'Sensor-assisted method for on-line flank wear estimation in turning processes', Paper presented at Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC, Miami Beach, FL, USA, 5/17/97 - 5/18/97 pp. 461-466.

Sensor-assisted method for on-line flank wear estimation in turning processes. / Kamarthi, Sagar V.; Kumara, Soundar R.T.; Cohen, Paul H.

1997. 461-466 Paper presented at Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC, Miami Beach, FL, USA, .

Research output: Contribution to conferencePaper

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N2 - This paper describes a sensor-assisted method for on-line flank wear estimation in turning processes. This method, unlike most of the existing ones, predicts continually the gradually increasing flank wear on a cutting tool. This method is tested on individual as well as different combinations of force, vibration, and acoustic emission sensors. The performance of the flank wear estimation method is studied by conducting extensive turning experiments on AISI 6150 steel workpiece and K68 (C2) grade uncoated carbide inserts. The average percent flank wear estimation error for different sensor combinations, for the range of operating conditions that were used during neural network training, is between -0.91% and 12.97%. The results indicate that the proposed estimation method provides flank wear estimates good enough for most real-world turning processes.

AB - This paper describes a sensor-assisted method for on-line flank wear estimation in turning processes. This method, unlike most of the existing ones, predicts continually the gradually increasing flank wear on a cutting tool. This method is tested on individual as well as different combinations of force, vibration, and acoustic emission sensors. The performance of the flank wear estimation method is studied by conducting extensive turning experiments on AISI 6150 steel workpiece and K68 (C2) grade uncoated carbide inserts. The average percent flank wear estimation error for different sensor combinations, for the range of operating conditions that were used during neural network training, is between -0.91% and 12.97%. The results indicate that the proposed estimation method provides flank wear estimates good enough for most real-world turning processes.

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Kamarthi SV, Kumara SRT, Cohen PH. Sensor-assisted method for on-line flank wear estimation in turning processes. 1997. Paper presented at Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC, Miami Beach, FL, USA, .