ANNs Prediction of Input Parameters Dutiny PMMA Laser Micro-machining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F11%3A43867587" target="_blank" >RIV/70883521:28110/11:43867587 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ANNs Prediction of Input Parameters Dutiny PMMA Laser Micro-machining
Original language description
This paper presents usage of artificial neural networks for modelling of laser micro-machining process. Results of the laser micro-machining ? surface quality of product and his utility in specific application ? depend on the laser-machine parameters andthe polymer material type. Commercial CO2 laser Mercury L-30 by LaserPro, USA was used for cutting specimens. This laser system has two parameters - power and feed. The article also shows optimization of the laser micro-machining using artificial neuralnetwork. In order to interpret complicated dependencies between technological characteristics of laser micro-machining and output parameters software Matlab 6.5 with Neural Network Toolbox was used. The experimental results were evaluated and depicted into the graphs.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JQ - Machinery and tools
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Development in Machining Technology
ISBN
978-83-7242-640-6
Number of pages of the result
12
Pages from-to
9-18
Number of pages of the book
155
Publisher name
Cracow University of Technology
Place of publication
Cracow
UT code for WoS chapter
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