Approach to optimization of cutting conditions by using artificial neural networks

Povzetek

Optimum selection of cutting conditions importantly contribute to the increase of productivity and the reduction of costs, therefore utmost attention is paid to this problem in this contribution. In this paper, a neural network-based approach to complex optimization of cutting parameters is proposed. It describes the multi-objective technique of optimization of cutting conditions by means of the neural networks taking into consideration the technological, economic and organizational limitations. To reach higher precision of the predicted results, a neural optimization algorithm is developed and presented to ensure simple, fast and efficient optimization of all important turning parameters. The approach is suitable for fast determination of optimum cutting parameters during machining, where there is not enough time for deep analysis. To demonstrate the procedure and performance of the neural network approach, an illustrative example is discussed in detail.

Ključne besede

optimiranje;optimiranje rezalnih parametrov;genetski algoritmi;nevronske mreže;rezalni parametri;algoritem nevronskih mrež;obdelovanje;rezanje kovin;optimization;cutting parameter optimization;genetic algorithm;cutting parameters;neural network algorithm;machining;metal cutting;

Podatki

Jezik:	Angleški jezik
Leto izida:	2006
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UM FS - Fakulteta za strojništvo
UDK:	621.914:[004.89:007.52]
COBISS:	10137878
ISSN:	0924-0136
Št. ogledov:	1954
Št. prenosov:	106
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Angleški jezik
Sekundarne ključne besede:	optimiranje;optimiranje rezalnih parametrov;genetski algoritmi;nevronske mreže;rezalni parametri;algoritem nevronskih mrež;obdelovanje;rezanje kovin;
URN:	URN:SI:UM:
Strani:	str. 281-290
Letnik:	ǂVol. ǂ173
Zvezek:	ǂiss. ǂ3
Čas izdaje:	2006
ID:	8717308