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

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