This study presents a model to optimize the selection of cutting parameters in drilling operations. The model developed, based on fuzzy logic techniques, considers as input data characteristics such as workpiece hardness, cutting tool type, and also the condition of the machine-tool. Then the fuzzy sets were specified, in reference to input and output data of the model, type of function applicable, and the appropriate defuzzification method. An adjustment mechanism to handle situations where the recommended ranges of cutting conditions overlap, is proposed. The results showed that the model constructed behaved as expected, and that the fuzzy logic was useful in the definition of the cutting parameters when there was no conclusive information on certain characteristics of the process.
|Translated title of the contribution||Cutting conditions definition using an approach based on fuzzy logic|
|State||Published - 2006|