Evolutionary approach for cutting forces prediction in milling

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

Povzetek

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.

Ključne besede

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

Podatki

Jezik:	Angleški jezik
Leto izida:	2004
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UM FS - Fakulteta za strojništvo
UDK:	621.914:004.89
COBISS:	8811542
ISSN:	0924-0136
Št. ogledov:	1050
Št. prenosov:	67
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Angleški jezik
Sekundarne ključne besede:	rezkanje;frezanje;napovedovanje sil pri rezkanju;simulacije;genetsko programiranje;
URN:	URN:SI:UM:
Strani:	str. 1647-1652
Letnik:	ǂVol. ǂ155/156
Čas izdaje:	Nov. 2004
ID:	8718699