Intelligent tool path generation for milling of free surfaces using neural networks

Jože Balič (Author), Marjan Korošec (Author)

Abstract

The presented paper has an intention to show how with the help of Artificial Neural Network (ANN), the prediction of milling tool-path strategy could be made in order to establish which milling path strategy or their sequence will show the best results (will be the most appropriate) at free surface machining, according to set technological aim. In our case the best possible surface quality of machined surface was taken as the primary technological aim. Configuration of used Neural Network (NN) is presented, and the whole procedure is shown on an example of mould, for producing light switches. The verification of machined surface quality, according to average mean roughness, Ra, is also being done, and compared with the NN predicted results

Keywords

nevronske mreže;CAD/CAM;CAPP;ICAM;frezala;frezalna strategija;neural network;milling strategy;

Data

Language:	English
Year of publishing:	2002
Typology:	1.01 - Original Scientific Article
Organization:	UM FS - Faculty of Mechanical Engineering
UDC:	621.914.2
COBISS:	7318550
ISSN:	0890-6955
Views:	1433
Downloads:	102
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary keywords:	nevronske mreže;CAD/CAM;CAPP;ICAM;frezala;frezalna strategija;
URN:	URN:SI:UM:
Pages:	str. 1171-1179
Volume:	ǂVol. ǂ42
Issue:	ǂno. ǂ10
Chronology:	2002
ID:	8718998