Evolutionary approach for cutting forces prediction in milling

Miha Kovačič (Author), Jože Balič (Author), Miran Brezočnik (Author)

Abstract

Knowing cutting forces is important for choosing cutting parameters for milling. Traditionally, cutting forces are calculated by equation which includes empirically measured specific cutting forces. In the article modelling of cutting forces with genetic programming is proposed, which imitates principles of living beings. Measurements have been made for two materials (aluminium alloy AlMgSi1 and steel 1.2343) and two different types of milling (conventional milling and STEP milling). For each material and type of milling parameters, tensile strength and hardness of workpiece, tool diameter, cutting depth, spindle speed, feeding and type of milling were monitored, and for each combination of milling parameters cutting forces were measured. On the basis of the experimental data, different models for cutting forces prediction were obtained by genetic programming. Research shows that genetically developed models fit the experimental data.

Keywords

rezkanje;frezanje;napovedovanje sil pri rezkanju;simulacije;genetsko programiranje;milling;simulation;milling cutting forces prediction;genetic programming;

Data

Language:	English
Year of publishing:	2004
Typology:	1.01 - Original Scientific Article
Organization:	UM FS - Faculty of Mechanical Engineering
UDC:	621.914:004.89
COBISS:	8811542
ISSN:	0924-0136
Views:	1050
Downloads:	67
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary keywords:	rezkanje;frezanje;napovedovanje sil pri rezkanju;simulacije;genetsko programiranje;
URN:	URN:SI:UM:
Pages:	str. 1647-1652
Volume:	ǂVol. ǂ155/156
Chronology:	Nov. 2004
ID:	8718699