Application of Machine Learning Systems in Material
Pair Selection and Cutting Values Determination in Turning Process
We present an approach to problem of material-pair selection
and cutting values determination in turning process using
machine learning techniques.
Based on several different
experiments we've changed the INFOS machinability model which served
as base for implementation of an automatic module for a material pair
selection and cutting values determination in turning process.