Identification of cutting conditions by using an analytical model and genetic algorithms for micro-end-milling operations

摘要

Identification of cutting conditions simplifies monitoring of machining operations to estimate tool wear and detection of breakage. An analytical model is introduced to simulate micro-end-milling operations more accurately than the conventional models by considering the feed rate. A genetic algorithm-based cutting condition identification program was developed to estimate the entry and exit angles. In all the studied cases, the program estimated the entry and exit angles with less than 3