Strength Deterioration With Increasing Specimen Size of an Additively Manufactured Aluminum Alloy in High‐Cycle and Very‐High‐Cycle Fatigue

ABSTRACT We conducted a statistical fatigue analysis of an additively manufactured aluminum alloy (AlSi10Mg) with five different sizes of specimens to establish probabilistic S‐N curves and assess an anomalous behavior of strength deterioration in high‐cycle and very‐high‐cycle regimes. For the five specimen types, S‐N data were obtained by ultrasonic axial cycling at R = −1. Based on the fitted Basquin equations, the S‐N data were converted to equivalent stress amplitudes at the same life. In general, the stress amplitudes can be regarded as normal, log‐normal, and Weibull distributions, with the log‐normal slightly overestimating the fatigue performance, whereas the Weibull slightly underestimated it, and the normal being the most suitable. Finally, we compared the normal distribution of fatigue resistance with the control volume V 90 of specimen types and plotted the strength deterioration from 10 6 cycles to the extrapolated 10 10 cycles, indicating that the specimen size effect diminishes as fatigue life increases.

Authors

Institutions

Publication Details

Journal
Fatigue & Fracture of Engineering Materials & Structures
Published
2025-11-26
DOI
https://doi.org/10.1111/ffe.70137
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strength Deterioration With Increasing Specimen Size of an Additively Manufactured Aluminum Alloy in High‐Cycle and Very‐High‐Cycle Fatigue

Zhiqiang Tao, Xiangnan Pan, Youshi Hong
Fatigue & Fracture of Engineering Materials & Structures
Additive Manufacturing Materials and Processes
article

Strength Deterioration With Increasing Specimen Size of an Additively Manufactured Aluminum Alloy in High‐Cycle and Very‐High‐Cycle Fatigue

Zhiqiang Tao, Xiangnan Pan, Youshi Hong
article en

Abstract

ABSTRACT We conducted a statistical fatigue analysis of an additively manufactured aluminum alloy (AlSi10Mg) with five different sizes of specimens to establish probabilistic S‐N curves and assess an anomalous behavior of strength deterioration in high‐cycle and very‐high‐cycle regimes. For the five specimen types, S‐N data were obtained by ultrasonic axial cycling at R = −1. Based on the fitted Basquin equations, the S‐N data were converted to equivalent stress amplitudes at the same life. In general, the stress amplitudes can be regarded as normal, log‐normal, and Weibull distributions, with the log‐normal slightly overestimating the fatigue performance, whereas the Weibull slightly underestimated it, and the normal being the most suitable. Finally, we compared the normal distribution of fatigue resistance with the control volume V 90 of specimen types and plotted the strength deterioration from 10 6 cycles to the extrapolated 10 10 cycles, indicating that the specimen size effect diminishes as fatigue life increases.

Fatigue & Fracture of Engineering Materials & StructuresVol. 49(3)
Beijing Union University (CN), Chinese Academy of Sciences (CN), Institute of Mechanics (CN)
Openalex Percentile: Top 62%
Additive Manufacturing Materials and Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.