Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing
Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing
复制标题
协作 3D 打印制造零件拉伸行为的数据驱动预测建模
DOI:
10.1115/1.4045290
复制
发表时间:
2020
影响因子:
3.1
通讯作者:
Wu, Dazhong
中科院分区:
文献类型:
--
作者:
Zhang, Ziyang;Poudel, Laxmi;Sha, Zhenghui;Zhou, Wenchao;Wu, Dazhong
3D printing has been extensively used for rapid prototyping as well as low-volume production in aerospace, automotive, and medical industries. However, conventional manufacturing processes (i.e., injection molding and CNC machining) are more economical than 3D printing for high-volume mass production. In addition, current 3D printing techniques are not capable of fabricating large components due to the limited build size of commercially available 3D printers. To increase 3D printing throughput and build volume, a novel cooperative 3D printing technique has been recently introduced. Cooperative 3D printing is an additive manufacturing process where individual mobile 3D printers collaborate on printing a part simultaneously, thereby increasing printing speed and build volume. While cooperative 3D printing has the potential to fabricate larger components more efficiently, the mechanical properties of the components fabricated by cooperative 3D printing have not been systematically characterized. This paper aims to develop a data-driven predictive model that predicts the tensile strength of the components fabricated by cooperative 3D printing. Experimental results have shown that the predictive model is capable of predicting tensile strength as well as identifying the significant factors that affect the tensile strength.
影响因子:
3.9
作者:
McPherson, Jace;Zhou, Wenchao
通讯作者:
Zhou, Wenchao