Process qualification of laser powder bed fusion based on processing-defect structure-fatigue properties in Ti-6Al-4V

被引:29
|
作者
Narra, Sneha P. [1 ]
Rollett, Anthony D. [2 ]
Ngo, Austin [3 ]
Scannapieco, David [3 ]
Shahabi, Mahya [4 ]
Reddy, Tharun [1 ]
Pauza, Joseph [2 ]
Taylor, Hunter [5 ]
Gobert, Christian [1 ]
Diewald, Evan [1 ]
Dugast, Florian X. [6 ]
To, Albert [6 ]
Wicker, Ryan [5 ]
Beuth, Jack [1 ]
Lewandowski, John J. [3 ]
机构
[1] Carnegie Mellon Univ, Mech Engn Dept, Pittsburgh, PA 15213 USA
[2] Carnegie Mellon Univ, Mat Sci & Engn Dept, Pittsburgh, PA 15213 USA
[3] Case Western Reserve Univ, Mat Sci & Engn Dept, Cleveland, OH 44106 USA
[4] Worcester Polytech Inst, Mech & Mat Engn Dept, Worcester, MA 01609 USA
[5] Univ Texas El Paso, WM Keck Ctr 3D Innovat, El Paso, TX 79968 USA
[6] Univ Pittsburgh, Dept Mech Engn & Mat Sci, Pittsburgh, PA 15261 USA
基金
美国国家航空航天局;
关键词
Laser powder bed fusion; Additive manufacturing; Ti-6Al-4V; Process window; Defects; Fatigue; Qualification; LIFE PREDICTION; COMPONENTS; POROSITY; MICROSTRUCTURE; BEHAVIOR; ALLOY; STEEL; MAPS;
D O I
10.1016/j.jmatprotec.2022.117775
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The aim of this manuscript is to give a compact overview of the results that illustrate the applicability of processing-structure-property relationships in the increasingly important context of 3D printing of metals. A process qualification approach based on the physics-based understanding of defect formation in laser powder bed fusion (L-PBF) additive manufacturing (AM) is investigated for an aerospace-grade titanium alloy (Ti-6Al-4V). A physically interpretable qualification approach is critical for enabling L-PBF part certification for structure -critical applications. This approach relies on systematic experimentation, characterization, testing, and data analysis tasks including design of experiments varying power and velocity to generate varying defect pop-ulations, process window development based on defect structure, high throughput fatigue testing, and fractog-raphy, 2D porosity characterization, and use of extreme value statistics to develop a porosity metric that, in turn, could have predictive power for the variation in fatigue performance. Results from four-point bend fatigue tests demonstrate that a process window can be defined based on this key mechanical property. This relatively high throughput approach can, in turn, support a reduced set of round bar fatigue tests typically used for qualification. Overall, the proposed ecosystem for process qualification of L-PBF AM shows promise and is expected to apply to other materials and powder bed fusion AM technologies.
引用
收藏
页数:13
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