NUMERICAL STUDY OF VIBRATIONS IN THE MILLING PROCESS
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abstract
Nowadays there is a great need to increase productivity along with high quality levels, which
constitutes a major challenge to the industry and engineering development. In spite of the
existence of advanced equipment capable of mass producing with great precision and
performance such as CNC machines, some vibration induced issues may appear during the
machining process that need to be addressed. The present research is based on a study of the
dynamic behaviour of a milling CNC machine to identify and optimize vibration-sensitive
parameters values (cutting speed, feed, axial penetration and radial penetration) in order to
reduce the effect of chatter in milling process. Initially, the theoretical basis of milling
operation is presented. Then, the response surface method (RS) and Genetic Algorithms (GA)
are used to optimize the milling parameters. Based on the results obtained, it was possible to
identify optimal parameters to minimize machining vibration.
