Extreme variation in fatigue: Fatigue life prediction and dependence on build volume location in laser powder bed fusion of 17-4 stainless steel

被引：16

作者：

Berez, Jaime ^{[1
]}

Sheridan, Luke ^{[2
]}

Saldana, Christopher ^{[1
]}

机构：

[1] Georgia Inst Technol, George W Woodruff Sch Mech Engn, 801 Ferst Dr, Atlanta, GA 30332 USA

[2] Air Force Res Lab, Turbine Engine Struct Integr Branch, Aerosp Syst Directorate, 213 Eighth St,Rm 136, Dayton, OH USA

来源：

INTERNATIONAL JOURNAL OF FATIGUE | 2022年 / 158卷

基金：

美国国家科学基金会;

关键词：

Laser powder bed fusion; Additive manufacturing; Defect; Probabilistic fatigue; El-Haddad; SURFACE-ROUGHNESS; DEFECTS; STRENGTH; SPATTER; AM; QUALIFICATION; BEHAVIOR; QUALITY; PARTS;

D O I：

10.1016/j.ijfatigue.2022.106737

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Laser powder bed fusion (LPBF), a metal additive manufacturing technology, is well-suited for design optimization but fatigue life is limited by manufacturing defects. In this work, 17-4 stainless steel components were manufactured in densely populated build volumes, simulating at-scale LPBF production. Tests revealed extreme variability in fatigue life data, analyzed via rigorous statistical tools. The El-Haddad model, modified for finite life, enabled defect-based life prediction. Specimen location within the build volume correlated to life, which was heteroscedastic. Investigating defect concentration over the build volume explained typical life and scatter. These findings argue for qualification approaches which acknowledge high material lot variability.

引用

页数：14

共 69 条

[1] Fatigue strength assessment of "as built" AlSi10Mg manufactured by SLM with different build orientations [J].

Beretta, S. ;

Gargourimotlagh, M. ;

Foletti, S. ;

du Plessis, A. ;

Riccio, M. .

INTERNATIONAL JOURNAL OF FATIGUE, 2020, 139

[2] A comparison of fatigue strength sensitivity to defects for materials manufactured by AM or traditional processes [J].

Beretta, S. ;

Romano, S. .

INTERNATIONAL JOURNAL OF FATIGUE, 2017, 94 :178-191

[3] Statistical analysis of defects for fatigue strength prediction and quality control of materials [J].

Beretta, S ;

Murakami, Y .

FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 1998, 21 (09) :1049-1065

[4] Fatigue of laser powder bed fusion processed 17-4 stainless steel using prior process exposed powder feedstock [J].

Berez, Jaime ;

Saldana, Christopher .

JOURNAL OF MANUFACTURING PROCESSES, 2021, 71 :515-527

[5] Study of the spatter distribution on the powder bed during selective laser melting [J].

Bin Anwar, Ahmad ;

Quang-Cuong Pham .

ADDITIVE MANUFACTURING, 2018, 22 :86-97

[6] Selective laser melting of AlSi10Mg: Effects of scan direction, part placement and inert gas flow velocity on tensile strength [J].

Bin Anwar, Ahmad ;

Quang-Cuong Pham .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2017, 240 :388-396

[7] Materials for additive manufacturing [J].

Bourell, David ;

Kruth, Jean Pierre ;

Leu, Ming ;

Levy, Gideon ;

Rosen, David ;

Beese, Allison M. ;

Clare, Adam .

CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2017, 66 (02) :659-681

[8]

Brot Abraham, 2020, ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing. Proceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue. Lecture Notes in Mechanical Engineering, P551, DOI 10.1007/978-3-030-21503-3_44

[9] On the possible generalizations of the Kitagawa-Takahashi diagram and of the El Haddad equation to finite life [J].

Ciavarella, M. ;

Monno, F. .

INTERNATIONAL JOURNAL OF FATIGUE, 2006, 28 (12) :1826-1837

[10] Mean stress effects in stress-life fatigue and the Walker equation [J].

Dowling, N. E. ;

Calhoun, C. A. ;

Arcari, A. .

FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2009, 32 (03) :163-179

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