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Pre-processing methodology for optimizing stereolithography apparatus build performance

Author
CANELLIDIS, V1 ; DEDOUSSIS, V1 ; MANTZOURATOS, N1 ; SOFIANOPOULOU, S1
[1] Center for Product Development and Rapid Prototyping, Department of Industrial Management & Technology, University of Piraeus, 80 Karaoli & Dimitriou str, 18534 Piraeus, Greece
Source

Computers in industry. 2006, Vol 57, Num 5, pp 424-436, 13 p ; ref : 21 ref

CODEN
CINUD4
ISSN
0166-3615
Scientific domain
Mechanical engineering; Computer science
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Build performance Genetic algorithm Orientation problem Packing problem Rapid prototyping Stereolithography
Keyword (fr)
Algorithme génétique Etat surface Lithographie Optimisation Problème agencement Problème remplissage Prototypage rapide Stéréolithographie Surface minimale Temps exécution
Keyword (en)
Genetic algorithm Surface conditions Lithography Optimization Layout problem Bin packing problem Rapid prototyping Stereolithography Minimal surface Execution time
Keyword (es)
Algoritmo genético Estado superficie Litografía Optimización Problema disposición Problema relleno Prototipificación rápida Stereolitografia Superficie mínima Tiempo ejecución
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D09 Process control. Computer integrated manufacturing

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17816827

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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