Tool wear estimation is essential for on-line process control and opti
mization. Wear and breakage of the tool are usually monitored by measu
ring force, load current, vibration, acoustic emission and temperature
. These measurements are important for reliability and for the impleme
ntation of an adaptive control system. This paper proposes a developme
nt of mathematical models to describe the wear-time and wear-force rel
ationships for turning operation. Cutting force components have been f
ound to correlate well with progressive wear and tool failure. The res
ults show that the ratio between force components is a better indicato
r of the wear process, compared with the estimate obtained using absol
ute values of the forces. It also eliminates variation in material pro
perties, which was identified as a major noise source in signals measu
red during machining. This paper presents data on techniques based on
force measurement for tool wear monitoring.