Laser powder bed fusion of titanium-tantalum alloys: Compositions and designs for biomedical applications

AbstractThe Ti–35Nb–7Zr–5Ta (wt%, TNZT) alloy was reinforced with TiB2 and synthesized by L-PBF. The relatively small TiB2 particles change the solidification structure from cellular to columnar-dendritic and lead to submicron TiB precipitation in the β matrix. This results in pronounced grain refinement and reduction of texture. However, the microstructure of the additively manufactured TNZT-TiB2 is still different from the as-cast, unreinforced TNZT, which contains equiaxed and randomly oriented grains. The β phase is less stable in the as-cast samples, leading to stress-induced martensitic transformation and recoverable strain of 1.5%. The TNZT with 1 wt% of TiB2 presents significantly higher compressive strength (σYS = 495 MPa) compared to unreinforced samples (σYS = 430 MPa), without sacrificing ductility or altering Young’s modulus (E ≈ 46 GPa). The addition of a small fraction of TiB2 to the TNZT alloy synthesized by L-PBF is a promising alternative for manufacturing sophisticated components for biomedical applications. Graphical abstract

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Topology optimization and characterization of Ti6Al4V ELI cellular lattice structures by laser powder bed fusion for biomedical applications

Materials Science and Engineering A ◽

10.1016/j.msea.2019.138330 ◽

2019 ◽

Vol 766 ◽

pp. 138330 ◽

Cited By ~ 10

Author(s):

A.M. Vilardell ◽

A. Takezawa ◽

A. du Plessis ◽

N. Takata ◽

P. Krakhmalev ◽

...

Keyword(s):

Topology Optimization ◽

Biomedical Applications ◽

Lattice Structures ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

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Near-Threshold Fatigue Crack Growth Rates of Laser Powder Bed Fusion Produced Ti-6Al-4V

SSRN Electronic Journal ◽

10.2139/ssrn.3622627 ◽

2020 ◽

Author(s):

Thorsten Hermann Becker ◽

Nur Mohamed Dhansay ◽

Gerrit Matthys Ter Haar ◽

Kim Vanmeensel

Keyword(s):

Fatigue Crack ◽

Fatigue Crack Growth ◽

Crack Growth ◽

Growth Rates ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Crack Growth Rates ◽

Near Threshold

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Machine-Learning Assisted Laser Powder Bed Fusion Process Optimization for AlSi10mg: New Microstructure Description Indices and Fracture Mechanisms

SSRN Electronic Journal ◽

10.2139/ssrn.3681162 ◽

2020 ◽

Author(s):

Qian Liu ◽

Hongkun Wu ◽

Moses J. Paul ◽

Peidong He ◽

Zhongxiao Peng ◽

...

Keyword(s):

Machine Learning ◽

Process Optimization ◽

Fusion Process ◽

Fracture Mechanisms ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

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On the Relevance of Volumetric Energy Density in the Investigation of Inconel 718 Laser Powder Bed Fusion

Materials ◽

10.3390/ma13030538 ◽

2020 ◽

Vol 13 (3) ◽

pp. 538 ◽

Cited By ~ 6

Author(s):

Fabrizia Caiazzo ◽

Vittorio Alfieri ◽

Giuseppe Casalino

Keyword(s):

Surface Roughness ◽

Energy Density ◽

Process Parameters ◽

Vickers Hardness ◽

Powder Bed Fusion ◽

Processing Conditions ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Fractional Density ◽

Experimental Variation

Laser powder bed fusion (LPBF) can fabricate products with tailored mechanical and surface properties. In fact, surface texture, roughness, pore size, the resulting fractional density, and microhardness highly depend on the processing conditions, which are very difficult to deal with. Therefore, this paper aims at investigating the relevance of the volumetric energy density (VED) that is a concise index of some governing factors with a potential operational use. This paper proves the fact that the observed experimental variation in the surface roughness, number and size of pores, the fractional density, and Vickers hardness can be explained in terms of VED that can help the investigator in dealing with several process parameters at once.

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