Full-Scale High-Load, Thermal, and Fatigue Testing of Additive Manufactured Powder Bed Fusion Component for Oil Field Applications

This study investigated how surface defects affect the fatigue performance of laser powder bed fusion (LPBF) Ti6Al4V(ELI) test specimens in as-built surface roughness and heat-treated conditions. Tensile and fatigue specimens were built in three orthogonal directions for testing. Fatigue testing was carried out to determine the maximum stress at which a run-out number of 5 million cycles to failure could be achieved. Fractured specimens were analysed and compared for crack initiation and propagation characteristics using scanning electron microscopy. Conclusions were drawn on the possibility of producing Ti6Al4V(ELI) aircraft components through LPBF.

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Thermal fatigue testing of laser powder bed fusion (L-PBF) processed AlSi7Mg alloy in presence of a quasi-static tensile load

Materials Science and Engineering A ◽

10.1016/j.msea.2020.139617 ◽

2020 ◽

Vol 789 ◽

pp. 139617 ◽

Cited By ~ 1

Author(s):

Zahra Sajedi ◽

Riccardo Casati ◽

Maria Cecilia Poletti ◽

Mateusz Skalon ◽

Maurizio Vedani

Keyword(s):

Thermal Fatigue ◽

Fatigue Testing ◽

Tensile Load ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Static Tensile

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Grain Morphology and Texture Development in a Co-Cr-Mo Alloy Fabricated by Powder Bed Fusion with an Electron Beam

SSRN Electronic Journal ◽

10.2139/ssrn.3358846 ◽

2019 ◽

Author(s):

Yufan Zhao ◽

Yuichiro Koizumi ◽

Kenta Aoyagi ◽

Daixiu Wei ◽

Kenta Yamanaka ◽

...

Keyword(s):

Electron Beam ◽

Grain Morphology ◽

Texture Development ◽

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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