High-cycle-fatigue properties of selective-laser-melted AlSi10Mg with multiple building directions

Zhang, Yucheng; Li, Xiaolong; Yuan, Shihua; Sun, Rui; Sakai, Tatsuo; Lashari, Muhammad Imran; Hamid, Usama; Li, Wei

doi:10.1016/j.ijmecsci.2022.107336

Cited by 23 publications

(6 citation statements)

References 54 publications

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“…The proposed model is validated against fatigue test data from Zhang et al [42]. The specimens Zhang et al tested are built with a laser power of 330 W, a scan speed of 1700 mm/s, a layer thickness of 0.03 mm, and a scan span of 0.15 mm.…”

Section: Cdm-based Numerical Resultsmentioning

confidence: 99%

“…The parameters of the constitutive and damage evolution models are calibrated using the least square method. In the constitutive model, C k and γ k are calibrated with uniaxial tension test results from Zhang et al [42], and the result, the stress-strain curve, is shown in Figure 2. The uniaxial tension results for the three building directions are very similar to each other, and the parameters are calibrated with the curve for 0 • built specimens.…”

Section: Materials Parameter Calibrationmentioning

confidence: 99%

“…where N F is the loading cycle for crack initiation, √ area is derived from fractural mechanics analysis in [42], β, αM The calculation results are compared to fatigue test data to determine the final value of these two parameters. Note that γ = 1 for specimens built with 0 • direction, which is used as a reference here.…”

Section: Materials Parameter Calibrationmentioning

confidence: 99%

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Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models

Yu,

Sun,

Bian

et al. 2023

Aerospace

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A novel fatigue evolution model considering the effect of defect size and additive manufacturing building direction based on the theories of continuum damage mechanics and its numerical implementation in ABAQUS is proposed in this paper. First, the constitutive model, fatigue damage evolution model and their parameter calibration methods are presented. Second, using the ABAQUS platform, the proposed model is implemented with user-defined subroutines. After that, based on the proposed model and its numerical implementation, the fatigue life of additively manufactured AlSi10Mg is predicted and its applicability is verified through experimental results. Finally, a support vector regression model is established to predict the fatigue life, and its results are compared to those of the numerical finite element method. The results show that the support vector regression model makes better predictions than the finite element method.

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Section: Cdm-based Numerical Resultsmentioning

confidence: 99%

Section: Materials Parameter Calibrationmentioning

confidence: 99%

Section: Materials Parameter Calibrationmentioning

confidence: 99%

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Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models

Yu,

Sun,

Bian

et al. 2023

Aerospace

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“…with an angle of 0°between the building platform and the loading direction), cf. [34,35,36]. However, the effect of defect size is mostly attributed to high-cycle fatigue (HCF), as well as a rough as-built surface condition, and has less importance in the LCF regime [37].…”

Section: Mechanical Properties Of Slm Materialsmentioning

confidence: 99%

Fatigue life prediction of additively manufactured ductile nickel-based superalloys : Constitutive and crack initiation modelling

Lindström

2022

Linköping Studies in Science and Technology. Dissertations

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The first part of the research project, which resulted in the Paper I, Paper II and Paper III, has been funded by the Swedish Energy Agency and Siemens Energy AB (formerly Siemens Industrial Turbomachinery AB) through the research programme Turbines for Future Energy Systems (Turbiner för framtidens energisystem), the support of which is gratefully acknowledged. The remaining part of the project, resulting in Paper IV and Paper V, has been funded by Linköping University and Siemens Energy AB. First and foremost, I would like to thank my main supervisor Associate Prof. Daniel Leidermark for your patience, encouragement and enthusiasm, and for always taking time for discussions, guidance, or anything I have on my mind. Special thanks goes also to Lic. Eng. Daniel Nilsson for all support you have provided me with regarding testing, application near questions, and for making it possible for at least some of our work to be used in "reality". I would also like to thank my research group; Prof. Kjell Simonsson, Dr. Jan-Erik Lundgren and Associate Prof. Robert Eriksson for your valuable input and support through the project.In addition, I would like to thank all Ph.D. colleagues at the Division of Solid Mechanics for, most importantly, making the Ph.D. studies a lot more fun, but also for all valuable discussions. A special thanks goes to my office mate Jordi for all your help, both at office and outside of work.Last, but not least, I would like to thank my girlfriend Ida for all your support. As we started our Ph.D. journeys almost at the same time, it has been invaluable to have someone to discuss things with at any time. However, most importantly, thank you for making my time outside work much more joyful.

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“…1 As a particular rapid prototyping AM technique, powder bed fusion (PBF) uses a high-energy-density laser beam to scan the fully molten metal powder and resolidifies the molten pool to achieve the effect of metallurgical bonding, 2,3 which is now widely used in the fabrication of advanced alloys, such as titanium alloys and aluminum alloys (AA). 4,5 With the increasing requirements for lightweight, energy saving, and emission reduction, high-performance AM aluminum alloy is becoming a current research hotspot, due to its low density and excellent processability. AM aluminum alloys do not only bear load but also suffer from environmental corrosion during service; thus, it is important to conduct research on damage and failure of AM aluminum alloys considering both corrosion and loading conditions.…”

Section: Introductionmentioning

confidence: 99%

Effect of corrosion pit on fatigue damage and failure in powder bed fusion AlSi10Mg

Song,

Liang,

Jiang

et al. 2024

Fatigue Fract Eng Mat Struct

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This paper is concerned with environmental corrosion during service of load‐bearing aluminum alloys fabricated by additive manufacturing (AM) with a focus on damage evolution characterization and identification of dominated failure mechanisms of pre‐corroded selective laser melted aluminum alloy. An experimental strategy for analysis of the damage and failure process is presented, combining 3D surface measurement, 3D digital image correlation, and scanning electron microscopy, to provide a multi‐source experimental characterization of corrosion morphology, strain field evolution, and fracture morphology. Statistics and machine learning methods were employed to process the measured multi‐source experimental data, showing that local average roughness has a strong influence on macro‐crack initiation position. The analysis focuses on four primary types of fatigue micro‐crack initiation, namely, internal defect, diffuse corrosion, corrosion micro‐pit, and corrosion jut; internal defect and diffuse corrosion are unique features for powder bed fusion (PBF) AlSi10Mg. The micro‐crack initiation mechanisms for all four types are (i) local stress concentrations due to adjacent material micro‐structural defects, (ii) interaction of underlying alloy microstructure and corrosion‐induced stress/strain, and (iii) local stress/strain concentration at corrosion micro‐pit and jut, respectively.

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High-cycle-fatigue properties of selective-laser-melted AlSi10Mg with multiple building directions

Cited by 23 publications

References 54 publications

Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models

Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models

Fatigue life prediction of additively manufactured ductile nickel-based superalloys : Constitutive and crack initiation modelling

Effect of corrosion pit on fatigue damage and failure in powder bed fusion AlSi10Mg

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