Estimation of the Kitagawa-Takahashi diagram by cyclic R curve analysis

Madia, Mauro; Zerbst, Uwe; Werner, Tiago

doi:10.1016/j.prostr.2022.03.032

Cited by 2 publications

(1 citation statement)

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“…Both methods can be helpful in determining the fatigue life of metals produced by additive manufacturing that have internal defects and in optimizing the production process to reduce internal defects and increase the material‘s fatigue resistance. The Kitagawa–Takahashi (KT) diagram is a helpful tool for classifying how long a material will last under a certain level of stress and defect state [ 3 ]. The link between the stress amplitude and the intrinsic crack length that leads to failure for a specific material is shown in the diagram.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Various Intrinsic Defect Criteria to Plot Kitagawa–Takahashi Diagrams in Additively Manufactured AlSi10Mg

Nur,

Soni,

Awd

et al. 2023

Materials

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Selective laser melting is a form of additive manufacturing in which a high-power density laser is used to melt and fuse metallic powders to form the final specimen. By performing fatigue and tensile tests under various loading conditions, the study sought to establish the impact of internal defects on the specimens’ fatigue life. Scanning electron microscopy and finite element simulation were conducted to determine the defect characteristics and the stress intensity factor of the specimens. Four different methods were used to determine the intrinsic defect length of the specimen, using data such as grain size, yield strength, and hardness value, among others. Kitagawa–Takahashi and El-Haddad diagrams were developed using the results. A correction factor hypothesis was established based on the deviation of measured data. Using Paris law, fatigue life was determined and compared to the experimental results later. The study aims to select one or more approaches that resemble experimental values and comprehend how internal defects and loading situations affect fatigue life. This study’s findings shed light on how internal defects affect the fatigue life of selective laser-melted AlSi10Mg specimens and can aid in improving the fatigue life prediction method of additively manufactured components, provided an appropriate intrinsic crack criterion is selected.

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Section: Introductionmentioning

confidence: 99%