Genetic equation for the cutting force in ball-end milling

Matjaž Milfelner (Author), Janez Kopač (Author), Franc Čuš (Author), Uroš Župerl (Author)

Abstract

The paper presents the development of the genetic equation for the cutting force for ball-end milling process. The development of the equation combines different methods and technologies like evolutionary methods, manufacturing technology, measuring and control technology and intelligent process technology with the adequate hardware and software support. Ball-end milling is a very common machining process in modern manufacturing processes. The cutting forces play the important role for the selection of the optimal cutting parameters in ball-end milling. In many cases the cutting forces in ball-end milling are calculated by equation from the analytical cutting force model. In the paper the genetic equation for the cutting forces in ball-end milling is developed with the use of the measured cutting forces and genetic programming. The experiments were made with the system for the cutting force monitoring in ball-end milling process. The obtained results show that the developed genetic equation fits very well with the experimental data. The developed genetic equation can be used for the cutting force estimation and optimization of cutting parameters. The integration of the proposed method will lead to the reduction in production costs and production time, flexibility in machining parameter selection, and improvement of product quality.

Keywords

frezanje;krogelno frezalo;optimiranje procesa frezanja;rezalne sile;rezalni parametri;genetski algoritmi;milling;ball-end mill;optimization;cutting forces;cutting parameters;genetic algorithms;

Data

Language:	English
Year of publishing:	2005
Typology:	1.01 - Original Scientific Article
Organization:	UM FS - Faculty of Mechanical Engineering
UDC:	621.914:004.89
COBISS:	9464854
ISSN:	0924-0136
Views:	1707
Downloads:	100
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary keywords:	frezanje;krogelno frezalo;optimiranje procesa frezanja;rezalne sile;rezalni parametri;genetski algoritmi;
URN:	URN:SI:UM:
Pages:	str. 1554-1560
Issue:	ǂVol. ǂ164-165
Chronology:	15. maj 2005
ID:	8718281