Date of Award


Publication Type

Doctoral Thesis

Degree Name



Mechanical, Automotive, and Materials Engineering

First Advisor

North, W. P. T.,


Engineering, Industrial.



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


Some parameters for monitoring drill condition during drilling operations are investigated by means of Acoustic Emission (AE) signals. To establish the effectiveness of the AE signal in monitoring drilling operations, the relationships between cutting resistance, strain energy and AE signals are reviewed. The AE signals are acquired during drilling steel plates or steel rods, with different sizes of twist drills on a milling machine or a lathe. The acquired AE signals are analyzed in the time domain and the frequency domain, and the results are compared to directly measured drill wear by means of a travelling microscope. After extensive testing it was found that best results were obtained with the AE count rate, True RMS and with some statistical descriptors. Basic relationships and trends were established for monitoring drill wear and to detect the onset of catastrophic failure. A drill life equation was also developed.Dept. of Mechanical, Automotive, and Materials Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1991 .C452. Source: Dissertation Abstracts International, Volume: 53-01, Section: B, page: 0492. Chairperson: W. P. T. North. Thesis (Ph.D.)--University of Windsor (Canada), 1991.