Multi-Objective Process Optimization of Additive Manufacturing: A Case Study on Geometry Accuracy Optimization
Multi-Objective Process Optimization of Additive Manufacturing: A Case Study on Geometry Accuracy Optimization
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发表时间：
2016-08
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通讯作者：
Amir M. Aboutaleb;L. Bian;N. Shamsaei;S. Thompson;Prahalada K. Rao
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作者：
Amir M. Aboutaleb;L. Bian;N. Shamsaei;S. Thompson;Prahalada K. Rao
尽管最近的研究努力改善增材制造（AM）系统，但AM制造产品的质量和可靠性仍然是一个挑战。迫切需要实现同时优化多种机械性能或几何精度测量的工艺参数。挑战在于，各种目标的最佳价值可能无法同时实现。大多数现有的研究旨在为每个目标单独获得最佳工艺参数，导致重复实验和高成本。在这项研究中，我们研究了多种几何精度的措施，零件制造的熔融纤维制造（FFF）系统。提出了一个综合框架，系统设计实验，以实现多套FFF工艺参数，从而实现最佳的几何完整性。所提出的方法进行了验证，使用一个真实的世界的案例研究。结果表明，与现有方法相比，以更有效的方式实现了最佳性能。
Despite recent research efforts improving Additive Manufacturing (AM) systems, quality and reliability of AM built products remains as a challenge. There is a critical need to achieve process parameters optimizing multiple mechanical properties or geometry accuracy measures simultaneously. The challenge is that the optimal value of various objectives may not be achieved concurrently. Most of the existing studies aimed to obtain the optimal process parameters for each objective individually, resulting in duplicate experiments and high costs. In this study we investigated multiple geometry accuracy measures of parts fabricated by Fused Filament Fabrication (FFF) system. An integrated framework for systematically designing experiments is proposed to achieve multiple sets of FFF process parameters resulting in optimal geometry integrity. The proposed method is validated using a real world case study. The results show that optimal properties are achieved in a more efficient manner compared with existing methods.