Fatigue properties of EBM as-built and chemically etched thin parts

Persenot, Théo; Buffière, Jean Yves; Maire, Éric; Dendievel, Rémy; Martin, Guilhem

doi:10.1016/j.prostr.2017.11.073

Cited by 32 publications

(21 citation statements)

References 13 publications

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“…More complex distributions may arise, such as in the case of etched lattices presented in this section. Previous studies on etched single struts [42,32] have shown some interesting results: the surface quality is improved through chemical etching but strongly depends on the etching time. For short etching time, a substantial number of critical defects remain, leading to fatigue lives similar to those obtained for as-built specimens.…”

Section: Applications To Etched Lattice Structuresmentioning

confidence: 99%

A numerical framework to predict the fatigue life of lattice structures built by additive manufacturing

Burr¹,

Persenot

Doutre³

et al. 2020

International Journal of Fatigue

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The fatigue properties of lattice structures produced by S-EBM are investigated. Fatigue failure is shown to be gradual, fostering the concept of grace period, defined as the number of cycles lived by the lattice structure after the failure of the first strut. A numerical framework based on the cascading failure of struts is proposed, relying on a damage accumulation law. Each strut is assigned a radius as well as an S-N curve, which both depend on the manufacturing conditions. Through statistical analyses, we demonstrate that the model can correctly predict the grace period and the fatigue life of experimental specimens.

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Section: Applications To Etched Lattice Structuresmentioning

confidence: 99%

A numerical framework to predict the fatigue life of lattice structures built by additive manufacturing

Burr¹,

Persenot

Doutre³

et al. 2020

International Journal of Fatigue

Self Cite

View full text Add to dashboard Cite

show abstract

“…Scherillo and co-workers (Ref 123 ) demonstrated that chemical polishing can easily remove the sharp peaks and deep valleys on the surface of AM metals. Persenot and co-workers (Ref 33 ) demonstrated that chemical polishing can significantly reduce the surface roughness of EBM Ti64 and, as a result, increase the fatigue strength by 60% (to 200 MPa).…”

Section: Post-processing Methods For Am Metalsmentioning

confidence: 99%

“…As shown in the schematic diagram in Fig. 1 , notches in the near-surface region will result in higher local stresses and a higher stress intensity factor and, thus, poor fatigue performance (Ref 33 ). This local stress is affected by the stress intensity factor of the notch.…”

Section: Factors That Influence the Fatigue Performance Of Am Metalsmentioning

confidence: 99%

“…Some scholars maintain that the low valleys on the surfaces of AM metals can be treated as short cracks (Ref 39 ). In that sense, the initial phase of fatigue damage (i.e., crack initiation), which dominates the HCF regime, is bypassed for metals with defects on the surface (Ref 33 , 40 , 41 ). Un-melted particles on the surface can also contribute to poor fatigue performance.…”

Section: Factors That Influence the Fatigue Performance Of Am Metalsmentioning

confidence: 99%

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Effects of Post-processing on the Surface Finish, Porosity, Residual Stresses, and Fatigue Performance of Additive Manufactured Metals: A Review

Zhang

Zhao

et al. 2021

J. of Materi Eng and Perform

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Additive manufacturing (AM) has attracted much attention due to its capability in building parts with complex geometries. Unfortunately, AM metals suffer from three major drawbacks, including high porosity, poor surface finish, and tensile residual stresses, all of which will significantly compromise the fatigue performance. These drawbacks present a major obstacle to the application of AM metals in industries that produce fatigue-sensitive components. Many post-processing methods, including heat treatment, hot isotropic pressing, laser shock peening, ultrasonic nanocrystal surface modification, advanced finishing and machining, and laser polishing, have been used to treat AM metals to decrease their porosity, improve the surface finish, and eliminate tensile residual stresses. As a result, significant improvement in fatigue performance has been observed. In this paper, the state of the art in utilizing post-processing techniques to treat AM metals and the effects of these treatments on the porosity, surface finish, and residual stresses of metal components and their resultant fatigue performance are reviewed.

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“…In 2016, Seifi et al [ 7 ] highlighted the need to account for AM defect populations in fatigue life modeling. Fracture mechanical models (Kitagawa–Takahashi-type diagrams) have been shown to yield good results for fatigue strength predictions [ 8 , 9 , 10 , 11 , 12 ]. For deterministic modeling of fatigue life, fatigue crack growth (FCG) methods have been used [ 6 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Defects in Electron Beam Melted Ti-6Al-4V: Fatigue Life Prediction Using Experimental Data and Extreme Value Statistics

et al. 2021

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Electron beam melting is a powder bed fusion (PBF) additive manufacturing (AM) method for metals offering opportunities for the reduction of material waste and freedom of design, but unfortunately also suffering from material defects from production. The stochastic nature of defect formation leads to a scatter in the fatigue performance of the material, preventing wider use of this production method for fatigue critical components. In this work, fatigue test data from electron beam melted Ti-6Al-4V specimens machined from as-built material are compared to deterministic fatigue crack growth calculations and probabilistically modeled fatigue life. X-ray computed tomography (XCT) data evaluated using extreme value statistics are used as the model input. Results show that the probabilistic model is able to provide a good conservative life estimate, as well as accurate predictive scatter bands. It is also shown that the use of XCT-data as the model input is feasible, requiring little investigated material volume for model calibration.

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Fatigue properties of EBM as-built and chemically etched thin parts

Cited by 32 publications

References 13 publications

A numerical framework to predict the fatigue life of lattice structures built by additive manufacturing

A numerical framework to predict the fatigue life of lattice structures built by additive manufacturing

Effects of Post-processing on the Surface Finish, Porosity, Residual Stresses, and Fatigue Performance of Additive Manufactured Metals: A Review

Defects in Electron Beam Melted Ti-6Al-4V: Fatigue Life Prediction Using Experimental Data and Extreme Value Statistics

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