Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring

Zrinka Murat, Danko Brezak, Goran Augustin, Dubravko Majetic

2017

Abstract

Medical drills are subject to wear process due to mechanical, thermal and, potentially, sterilisation influences. The influence of drill wear on friction contributes to the drilling temperature rise and occurrence of thermal osteonecrosis. During the cutting process drilling temperature cannot be adequately reduced by applying cooling fluid externally on the bone surface and a part of a tool which is not in the contact with the bone if higher wear rates occurs. Since it is not possible to directly establish or measure drill wear rate without interrupting the machining process, this important parameter should be estimated using available process signals. Therefore, the application of tool wear features extracted from acoustic emission signals in the frequency domain for the purpose of indirect medical drill wear monitoring process has been studied in detail and the results are presented in this paper.

References

  1. L. S. Mathews, C. Hirsch, 1972, Temperature measured in human cortical bone when drilling, The Journal of Bone Joint Surgery, 54-A, pp. 297-308.
  2. W. Allan, E. D. Williams, C. J. Kerawala, 2005, Effects of repeated drill use on temperature of bone during preparation for osteosynthesis self-tapping screws, British Journal of Oral and Maxillofacial Surgery, 43, pp. 314-319.
  3. G. E. Chacon, D. L. Bower, P. E. Larsen, E. A. McGlumphy, F.M. Beck, 2006, Heat Production by 3 Implant Drill Systems After Repeated Drilling and Sterilization, Journal of Oral and Maxillofacial Surgery, 64, pp. 265-269.
  4. T. P. Queiroz, F. Á. Souza, R. Okamoto, R. Margonar, V. A. Pereira-Filho, I. R. Garcia, E. H. Vieira, 2008, Evaluation of Immediate Bone-Cell Viability and of Drill Wear After Implant Osteotomies: Immunohistochemistry and Scanning Electron Microscopy Analysis, Journal of Oral and Maxillofacial Surgery, 66, pp. 1233-1240.
  5. R. M. Jochum, P. A. Reichart, 2000, Influence of multiple use of Timedur® - titanium cannon drills: thermal response and scanning electron microscopic findings, Clinical Oral Implants Research, 11, pp. 139-143.
  6. J. Singh, J. H. Davenport, D. J. Pegg, 2010, A national survey of instrument sharpening guidelines, The Surgeon, 8, pp. 136-139.
  7. E. Jantunen, A summary of methods applied to tool condition monitoring in drilling, 2002, International Journal of Machine Tools & Manufacture, 42, pp. 997- 1010.
  8. T. Staroveski, D. Brezak, V. Grdan, T. Bacek, 2014, Medical Drill Wear Classification Using Servomotor Drive Signals and Neural Networks, Lecture Notes in Engineering and Computer Science, 2211 (1), pp. 599- 603.
  9. T. Staroveski, D. Brezak, T. Udiljak, 2015, Drill wear monitoring in cortical bone drilling, Medical engineering & physics, 37 (6), pp. 560-566.
  10. C. Scheffer, P. S. Heyns, F. Klocke, 2003, Development of a tool wear-monitoring system for hard turning, International Journal of Machine Tools and Manufacturing,43, pp.973-85.
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Paper Citation


in Harvard Style

Murat Z., Brezak D., Augustin G. and Majetic D. (2017). Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017) ISBN 978-989-758-212-7, pages 173-177. DOI: 10.5220/0006150401730177


in Bibtex Style

@conference{biosignals17,
author={Zrinka Murat and Danko Brezak and Goran Augustin and Dubravko Majetic},
title={Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017)},
year={2017},
pages={173-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006150401730177},
isbn={978-989-758-212-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017)
TI - Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring
SN - 978-989-758-212-7
AU - Murat Z.
AU - Brezak D.
AU - Augustin G.
AU - Majetic D.
PY - 2017
SP - 173
EP - 177
DO - 10.5220/0006150401730177