Size Effect of High‐Cycle Fatigue Performance in Additively Manufactured Ti‐6Al‐4V Alloy

ABSTRACT As AM engineering components often possess complex structures and varying cross‐sectional dimensions, they frequently exhibit unstable service performance due to the print dimension size effect. This variability in performance is one of the most typical problems in AM components. This study investigates the size effect on the high‐cycle fatigue performance of the widely used AM alloy, Ti‐6Al‐4V. The influence of sample size on fatigue performance is explored through fatigue source analysis, fatigue life analysis, and defect statistics. A new statistical model is proposed to predict the theoretical largest defect in samples with small dimensions, based on observations of relatively large regions. This model is particularly suitable for the commonly thin‐walled AM components. The corresponding fatigue life prediction is then achieved by integrating the microstructure void coupling (MVC) model.

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Publication Details

Journal
Fatigue & Fracture of Engineering Materials & Structures
Published
2025-08-14
DOI
https://doi.org/10.1111/ffe.70060
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Size Effect of High‐Cycle Fatigue Performance in Additively Manufactured Ti‐6Al‐4V Alloy

Zhan Qu, Xin Bai, Zhenkai Zhao, Zhenjun Zhang et al.
1 links
Fatigue & Fracture of Engineering Materials & Structures
Additive Manufacturing Materials and Processes
article

Size Effect of High‐Cycle Fatigue Performance in Additively Manufactured Ti‐6Al‐4V Alloy

Zhan Qu, Xin Bai, Zhenkai Zhao, Zhenjun Zhang, Zhefeng Zhang, Rui Liu, Yining Zhang, Lijia Chen, Hanzhong Liu
article en

Abstract

ABSTRACT As AM engineering components often possess complex structures and varying cross‐sectional dimensions, they frequently exhibit unstable service performance due to the print dimension size effect. This variability in performance is one of the most typical problems in AM components. This study investigates the size effect on the high‐cycle fatigue performance of the widely used AM alloy, Ti‐6Al‐4V. The influence of sample size on fatigue performance is explored through fatigue source analysis, fatigue life analysis, and defect statistics. A new statistical model is proposed to predict the theoretical largest defect in samples with small dimensions, based on observations of relatively large regions. This model is particularly suitable for the commonly thin‐walled AM components. The corresponding fatigue life prediction is then achieved by integrating the microstructure void coupling (MVC) model.

Fatigue & Fracture of Engineering Materials & StructuresVol. 48(11)
University of Science and Technology of China (CN), Shenyang University of Technology (CN), Chinese Academy of Sciences (CN)
Innovative Research Group Project of the National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Openalex Percentile: Top 79%
Additive Manufacturing Materials and Processes
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