Title of article :
Testing of machinability of mould steel 40CrMnMo7 using genetic algorithm
Author/Authors :
A. Stoi?، نويسنده , , J. Kopac، نويسنده , , G. Cukor، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Abstract :
This paper deals with testing of hard materials machinability by high speed turning process and influence of cutting parameters on machinability rates. To determine machinability rates, surface roughness, tool wear and cutting force components were measured. In accordance with expected influence of certain parameter on machinability, experiments were designed and performed to determine mathematical models of the measured values over full response range. Obtained mathematical models were used for determination of machinability index and optimization of the parameters. Machinability was defined from input parameters of the process, and consists of one or several subfunctional machinability indexes.
Results of the testing can be used for more effective use of the machine tool performances, as well as for extension of the machinability testing of hard materials in different cutting conditions.
Keywords :
Machinability , Mathematical model , Objective function , Genetic Algorithm
Journal title :
Journal of Materials Processing Technology
Journal title :
Journal of Materials Processing Technology