Unpredictable tool life and premature tool failure are major problems
in micro-machining. In this study, the failure mechanisms of micro-end
-mills were studied during the machining of aluminum, graphite electro
des and mild steel workpieces. Hundreds of machining operations were p
erformed, and the pictures of cutting edges were taken with a scanning
electron microscope to identify fatigue and extensive stress-related
failure mechanisms. Also, the cutting force variation was monitored, i
.e. the relationship between the utilization-related changes at the to
ol structure (wear), and the outcomes (increasing cutting force which
means raising stress on the tiny shaft). Inspection of the cutting for
ce variation patterns of large numbers of micro-end-mills indicated th
at tool failure occurs with chip clogging, fatigue and wear-related ex
cessive stress depending on the characteristics of the workpiece. Two
tool breakage prediction methods were developed by considering the var
iation of the static part of the feed direction cutting force. These m
ethods used segmental averages and wavelet transformation coefficients
. The accuracy of the proposed approaches were tested with experimenta
l data and the agreement between the predictions and actual observatio
ns are reported. (C) 1998 Elsevier Science Ltd. All rights reserved.