DocumentCode :
1827925
Title :
Determination of the Pareto-optimal build orientations in Stereolithography
Author :
Giannatsis, J. ; Canellidis, V. ; Dedoussis, V.
Author_Institution :
Dept. of Ind. Manage. & Technol., Univ. of Piraeus, Piraeus, Greece
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
281
Lastpage :
285
Abstract :
The selection of build orientation for a given part is one of the most important tasks encountered in the process planning phase of Layer Manufacturing in general and Stereolithography in particular. The orientation selection is by definition a multi-criteria optimization problem in which the operator seeks to achieve the optimum trade-off between cost and quality depending on the given fabrication constraints and requirements. In the present work a solution approach that focuses on the determination of the set of Pareto-optimal orientations is examined. Pareto-optimal orientations could be considered as a set of good choices for the selection of the optimum orientation for both single part and multiple (batch) fabrication. For the construction of this set in a time-efficient manner a Genetic Algorithm is employed. In order to investigate the efficiency of the proposed approach a case study is examined and the corresponding results are presented.
Keywords :
Pareto optimisation; genetic algorithms; layered manufacturing; process planning; stereolithography; fabrication constraints; genetic algorithm; layer manufacturing; multicriteria optimization problem; pareto-optimal build orientations; stereolithography; Biological cells; Fabrication; Optimization; Rough surfaces; Surface roughness; Surface treatment; Build Orientation; Genetic Algorithms; Pareto optimum; Stereolithography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674465
Filename :
5674465
Link To Document :
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