Genetic-algorithm-based multi-objective optimization of the build orientation in stereolithography

被引:93
作者
Canellidis, V. [1 ]
Giannatsis, J. [1 ]
Dedoussis, V. [1 ]
机构
[1] Univ Piraeus, Dept Ind Management & Technol, Ctr Prod Dev & Rapid Prototyping, Piraeus 18534, Greece
关键词
Build orientation; Genetic algorithm; Multi-objective optimization; Layer manufacturing; Stereolithography; PART DEPOSITION ORIENTATION; FABRICATION-DIRECTION OPTIMIZATION; RAPID PROTOTYPING PROCESSES; VOLUMETRIC ERROR; DECISION-SUPPORT; SYSTEM;
D O I
10.1007/s00170-009-2006-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Build orientation is an important fabrication parameter in layer manufacturing (LM) since it affects the part fabrication accuracy, cost, and time. Despite its importance, orientation selection relies quite heavily on the experience and skill of the operator of the LM system, which does not guarantee optimality of the decision. In the present work, a decision support system that automates the orientation selection task is proposed. The proposed system utilizes genetic algorithms and multi-criteria optimization techniques for the definition of (near) optimum build orientation for parts fabricated with stereolithography. Build time, surface roughness, and post-processing time are considered as the main optimization criteria.
引用
收藏
页码:714 / 730
页数:17
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