Microstructure and mechanical properties of laser powder bed fusion Ti-6Al-4V after HIP treatments with varied temperatures and cooling rates

被引:1
作者
Derimow, Nicholas [1 ]
Benzing, Jake T. [1 ]
Joress, Howie [2 ]
McDannald, Austin [2 ]
Lu, Ping [3 ]
DelRio, Frank W. [3 ]
Moser, Newell [1 ]
Connolly, Matthew J. [1 ]
Saville, Alec I. [1 ]
Kafka, Orion L. [1 ]
Beamer, Chad [4 ]
Fishel, Ryan [5 ]
Sarker, Suchismita [6 ]
Hadley, Chris [7 ]
Hrabe, Nik [1 ]
机构
[1] NIST, Appl Chem & Mat Div, 325 Broadway, Boulder, CO 80305 USA
[2] NIST, Mat Measurement Sci Div, 100 Bur Dr, Gaithersburg, MD 20899 USA
[3] Sandia Natl Labs, Mat Phys & Chem Sci Ctr, POB 5800, Albuquerque, NM 87185 USA
[4] Quintus Technol, 8270 Green Meadows Dr N, Lewis Ctr, OH 43035 USA
[5] 3D Syst Healthcare, 5381 S Alkire St, Littleton, CO 80127 USA
[6] Cornell Univ, Cornell High Energy Synchrotron Source, Ithaca, NY 14850 USA
[7] Lynntech Inc, 2501 Earl Rudder Fwy, College Stn, TX 77845 USA
关键词
Additive manufacturing; Ti-6Al-4V; Microstructure; Heat treatment; Laser powder bed fusion; ADDITIVELY MANUFACTURED TI-6AL-4V; HEAT-TREATMENT; TENSILE PROPERTIES; PHASE-TRANSFORMATIONS; TEXTURE FORMATION; TITANIUM-ALLOY; DEFORMATION; ALPHA; MARTENSITE; BEHAVIOR;
D O I
10.1016/j.matdes.2024.113388
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work investigated non-standard HIP cycles for PBF-L Ti-6Al-4V and characterized microstructure and tensile properties to compare between material that originated from the same build. For 920 degrees C, faster cooling rates (100 degrees C/min, 2000 degrees C/min) were found to promote bi-lamellar alpha microstructure, while the 2000 degrees C/min cooling rate improved the strength. For HIP with lower temperature (800 degrees C, 200 MPa), coarsening was minimized resulting in strength improvement. The slow cooling rate (12 degrees C/min) showed the highest strength as faster rates increased the amount of orthorhombic martensite (alpha ''). For HIP with higher temperature (1050 degrees C), the as-built crystallographic texture was reduced and equiaxed prior-beta grain morphology resulted, leading to more isotropic tensile properties. However, the cooling rate (2000 degrees C/min) was not enough to prevent formation of grain boundary alpha, which reduced strength and elongation. Machine learning was carried out on the dataset via Principal Component Analysis (PCA) to reduce the dimensionality of the parameters and microstructural features.
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页数:39
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