A new approach to correlate the defect population with the fatigue life of selective laser melted Ti-6Al-4V alloy

Hu, Yuqing; Wu, Shengchuan; Wu, Zhengkai; Zhong, Xiangli; Ahmed, Saad; Karabal, Suleyman; Xiao, Xianghui; Zhang, H.O.

doi:10.1016/j.ijfatigue.2020.105584

Cited by 149 publications

(52 citation statements)

References 45 publications

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“…This was also demonstrated for surface and subsurface pores in [16]. In [15] the authors clearly demonstrated, by the detection through computed tomography (CT) scan of all the defects present in specimens, that the critical defects were the ones with the largest stress intensity factor (SIF), thus supporting the adoption of "extreme value" concepts for estimating the maximum size of defects for fatigue assessment [12] and for comparing the "quality" of different treatments [17,18].…”

Section: Introductionmentioning

confidence: 74%

Killer notches: The effect of as-built surface roughness on fatigue failure in AlSi10Mg produced by laser powder bed fusion

Plessis

Beretta

2020

Additive Manufacturing

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Introductionmentioning

confidence: 74%

Killer notches: The effect of as-built surface roughness on fatigue failure in AlSi10Mg produced by laser powder bed fusion

Plessis

Beretta

2020

Additive Manufacturing

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“…Compared with traditional manufacturing, AM technology greatly improves the forming efficiency and material utilization rate. However, the printing defects severely affect the mechanical properties of AM parts [5,6] and the broad applications of the AM technology.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: On the in situ elimination of pores during laser powder bed fusion of a titanium alloy

Zhang

Liao

Liu

et al. 2021

Preprint

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The printing quality of the laser powder bed fusion (LPBF) components largely depends on the presence of various defects such as massive porosity. Thus, the efficient elimination of pores is an important factor to the production of a sound LPBF product. In this work, the efficacy of two in situ laser remelting approaches on the elimination of pores during LPBF of a titanium alloy Ti-6.5Al-3.5Mo-l.5Zr-0.3Si (TC11) were assessed using both experimental and computational methods. These two remelting methods are the surface remelting, and the layer-by-layer printing and remelting. A multi-track and multi-layer phenomenological model was established to compute the evolution of pores with the temperature and velocity fields. The results showed that surface remelting with a high laser power such as 180 W laser can effectively eliminate pores within three deposited layers. However, such a remelting cannot reach defects in deeper regions. Alternatively, the layer-by-layer remelting with a laser power of 180 W can effectively eliminate the pores formed in the previous layer in real time. The results obtained from this work can provide useful guidance for the in situ control of printing defects supported by the real time monitoring, feedback and operation systems of the intelligent LPBF equipment.

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“…Guerchais et al (2017) discussed the influence of defect size and shape on high cycle fatigue behavior of metals. Hu et al (2020) concluded the relationship between the number of defects and the fatigue life of Ti-6Al-4V Alloy by selective laser melting. If the life prediction is only based on the size of inclusions and does not consider the failure mechanism of ultra-high cycle fatigue, the prediction results are more dangerous (Chapetti et al, 2003).…”

Section: Introductionmentioning

confidence: 98%

Effect of fisheye failure on material performance inducing error circle under high cycles

Liu

et al. 2021

International Journal of Damage Mechanics

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In the engineering application of high strength steel and surface strengthening steel, fisheye failure is often happened in high cycle fatigue. To explore the effect of fisheye failure on high cycle fatigue properties of materials, a high cycle fatigue life model was established based on the Murakami and Tanaka’s fatigue strength models. The model introduces the error circle to evaluate fisheye size, and discusses the influencing factors of fatigue strength. The results show that the size and depth of fisheye failure will affect performance of materials. The proposed model considering the size and depth of defect quantitatively shows the influence of fisheye details on material performance, and effectively predicts the high/ultra-high cycle fatigue life.

show abstract

A new approach to correlate the defect population with the fatigue life of selective laser melted Ti-6Al-4V alloy

Cited by 149 publications

References 45 publications

Killer notches: The effect of as-built surface roughness on fatigue failure in AlSi10Mg produced by laser powder bed fusion

Killer notches: The effect of as-built surface roughness on fatigue failure in AlSi10Mg produced by laser powder bed fusion

WITHDRAWN: On the in situ elimination of pores during laser powder bed fusion of a titanium alloy

Effect of fisheye failure on material performance inducing error circle under high cycles

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