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

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...

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Bibliographic Details
Published in:International journal of machine tools & manufacture 2002-08, Vol.42 (10), p.1171-1179
Main Authors: Balic, J, Korosec, M
Format: Article
Language:English
Subjects:
Applied sciences
CAD/CAM system
CAPP
Computer aided design
Computer aided manufacturing
Computer science
control theory
systems
Electric switches
Exact sciences and technology
ICAM
Mechanical engineering. Machine design
Milling strategy
Neural network
Neural networks
Software
Surface roughness
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Summary: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, R a, is also being done, and compared with the NN predicted results.
ISSN:0890-6955
1879-2170
DOI:10.1016/S0890-6955(02)00045-7