Abstract:
Optimization of cutting parameters important in precision
machining in regards to efficiency and surface integrity of the
machined part. Usually productivity and precision in machining is
limited by the forces emanating from the cutting process. Due to the
inherent varying nature of the workpiece in terms of geometry and
material composition, the peak cutting forces vary from point to point
during machining process. In order to increase productivity without
compromising on machining accuracy, it is important to control
these cutting forces. In this paper a fuzzy logic control algorithm
is developed that can be applied in the control of peak cutting forces
in milling of spherical surfaces using ball end mills. The controller
can adaptively vary the feedrate to maintain allowable cutting force
on the tool. This control algorithm is implemented in a computer
numerical control (CNC) machine. It has been demonstrated that the
controller can provide stable machining and improve the performance
of the CNC milling process by varying feedrate.
