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Enhancement Tool Path for CNC Milling Using ANN: Neural network architecture designed - Couverture souple

K. Ghazi, Safaa; Aabid Tawfiq, Maan; A. A. Duroobi, Ahmed

 
9786202306973: Enhancement Tool Path for CNC Milling Using ANN: Neural network architecture designed
Couverture souple
ISBN 10 : 6202306971 ISBN 13 : 9786202306973
Editeur : Scholars' Press, 2018

Synopsis

Circular interpolation was used to generate tool path and this need to define the tool radius and radius of curvature in addition to define the cutting direction if it is clockwise or counter clockwise. In addition many other parameters had been considered in the machining process of the proposed surface to find the best tool path and G-code. Side step, feed rate and cutting speed had been studied as machining factors affecting tool path generation process, also Artificial Neural Network technique had been considered to find the best tool path depending on the cutting parameters that proposed in this work while surface roughness was the characteristic that the tool path process and G-code generation depends on it. MATLAB software had been used to generate tool path for 27 samples, the machining parameters were (3) therefore the minimum number of experiments should be not less than 27. The random samples 21 were taken for training the network and 6 random samples for test the network. In addition UG-NX had been used to generate tool path and G-code for one sample to compare it with the proposed tool path that generated depending on the mathematical.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Circular interpolation was used to generate tool path and this need to define the tool radius and radius of curvature in addition to define the cutting direction if it is clockwise or counter clockwise. In addition many other parameters had been considered in the machining process of the proposed surface to find the best tool path and G-code. Side step, feed rate and cutting speed had been studied as machining factors affecting tool path generation process, also Artificial Neural Network technique had been considered to find the best tool path depending on the cutting parameters that proposed in this work while surface roughness was the characteristic that the tool path process and G-code generation depends on it. MATLAB software had been used to generate tool path for 27 samples, the machining parameters were (3) therefore the minimum number of experiments should be not less than 27. The random samples 21 were taken for training the network and 6 random samples for test the network. In addition UG-NX had been used to generate tool path and G-code for one sample to compare it with the proposed tool path that generated depending on the mathematical.

Biographie de l'auteur

Safaa K. Ghazi, Msc. Production engineering, Iraq.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2018
Langue
anglais
ISBN 10 
6202306971
ISBN 13 
9786202306973
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
non disponible