Surface Partitioning for 3+2-axis Machining: The application of artificial intelligence algorithms for the machining of complex surfaces - Couverture souple

Roman, Armando

 
9783847301158: Surface Partitioning for 3+2-axis Machining: The application of artificial intelligence algorithms for the machining of complex surfaces
Couverture souple
ISBN 10 : 3847301152 ISBN 13 : 9783847301158
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Despite the inbuilt advantages offered by 5-axis machining, the manufacturing industry has not widely adopted this technology due to the high cost of machines and insufficient support from CAD/CAM systems. Companies are used to 3-axis machining and the operators are in many cases not yet ready for 5-axis machining in terms of training and programming. An effective solution for this 5 axis problem is a graduated migration through the use of 3+2-axis machining. The objective of this research is to develop and implement a machining technique that uses the simplicity of 3-axis tool positioning and the flexibility of 5-axis tool orientation, to machine complex surfaces. This work presents the application of well known methods from Pattern Recognition and newly developed methods by the current author that were adapted for surface machining. This work includes an explanation of the procedures required to determine an appropriate tool orientation, feed direction, tool path trajectory and tool parameters for patch-by-patch machining. These parameters are determined independently for each patch and aim at reducing the time required to machine a surface while maintaining the surface specific.

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Présentation de l'éditeur

Despite the inbuilt advantages offered by 5-axis machining, the manufacturing industry has not widely adopted this technology due to the high cost of machines and insufficient support from CAD/CAM systems. Companies are used to 3-axis machining and the operators are in many cases not yet ready for 5-axis machining in terms of training and programming. An effective solution for this 5 axis problem is a graduated migration through the use of 3+2-axis machining. The objective of this research is to develop and implement a machining technique that uses the simplicity of 3-axis tool positioning and the flexibility of 5-axis tool orientation, to machine complex surfaces. This work presents the application of well known methods from Pattern Recognition and newly developed methods by the current author that were adapted for surface machining. This work includes an explanation of the procedures required to determine an appropriate tool orientation, feed direction, tool path trajectory and tool parameters for patch-by-patch machining. These parameters are determined independently for each patch and aim at reducing the time required to machine a surface while maintaining the surface specific.

Biographie de l'auteur

Dr. Armando Roman is a graduate from the University of Waterloo and currently the Director of Mechatronics at Tec de Monterrey Campus Guadalajara. His reseach interests are in the application of artificial intelligence methods for manufacturing. He has participated as a faculty advisor for the Baja SAE, HPV, Aero design and Electraton teams.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3847301152
ISBN 13 
9783847301158
Reliure
Broché
Nombre de pages
176
Coordonnées du fabricant
non disponible
Personne responsable
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