4 research outputs found
An integrated approach to tool life management
Tool wear is a complex phenomenon occurring in all metal cutting processes. It reduces
dimensional accuracy, impairs the surface integrity of the component and can have
profound effects on the overall quality of the machined workpiece. Tool condition
monitoring methods can be broadly split based on the source of signals collected by
sensors into direct and indirect methods. In real life, it is not simple to model or predict.
This thesis considers current shortcomings in applied approaches to tool management
to demonstrate the need for more accurate assessment of tool condition and particularly
remaining tool life.
In this study, two kinds of indirect acquisition methods were used to estimate the tool
wear. The post process method utilises the measurement of component geometry using
a Coordinate Measure Machine. The in-process method utilises the acquisition and
analysis of the applied spindle load from which tool wear can be estimated.
A series of tests were conducted based upon the machining of a set of cylindrical holes.
Two different diameter tools, 10 mm and 16 mm end mills, were used. The CMM
acquired component geometry was used to calculate the tool wear indirectly. The
method was proved to provide a good indication of the tool wear behaviour. In particular
the approach is shown to be helpful for identifying the important change in the rate of
tool wear.
The developed online monitoring system, using the spindle motor load signal, is
introduced in this thesis. It provides a practical method for detecting the progression of
flank wear during machining. The results concluded that the signal amplitudes are
increased when the flank wear increases. High cutting speed cause the flank wear to
form quickly and shorten the tool life. This is an efficient and low-cost method that,
with further development and testing, can be used in the real machining industry to
predict the actual wear in the cutting tool