The fatigue mechanism and a new defect-based life prediction model for selective laser melted Al-Mg-Sc-Zr alloy

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2024-09-06 DOI:10.1016/j.ijfatigue.2024.108590

Jun Zou , Xiaoyu Xia , Zhenyu Feng , Jizhen Wang , Yazhou Guo , Daiyang Gao

{"title":"The fatigue mechanism and a new defect-based life prediction model for selective laser melted Al-Mg-Sc-Zr alloy","authors":"Jun Zou , Xiaoyu Xia , Zhenyu Feng , Jizhen Wang , Yazhou Guo , Daiyang Gao","doi":"10.1016/j.ijfatigue.2024.108590","DOIUrl":null,"url":null,"abstract":"<div><p>Additive manufacturing (AM) has broad application prospects in the field of aviation, whereas it remains a challenge to fully eliminate the manufacturing defects. As a result, the fatigue performance is poor and has a large scatter. The fatigue performance and life prediction method have become a major hindrance for the application of AM in aviation field. In this paper, the microstructure and defect characteristics of SLM Al-Mg-Sc-Zr alloy that built in transverse direction (TD) and parallel direction (PD) were studied. Then the fatigue performance was investigated, and the relationship between critical defect characteristics and fatigue life was analyzed qualitatively and quantitatively based on fracture analysis. The microstructure exhibits a bimodal grain structure with fine grain size. The defect study shown that there are more large-size defects and higher porosity in the PD specimens. The fatigue life is significantly influenced by the location, size and circularity of critical defects and stress amplitude. Correlation analysis suggested that the defect location is the most influential factor on fatigue performance, followed by stress amplitude, defect circularity and defect size. Finally, a fatigue life prediction model based on stress amplitude and defect characteristics of the critical defects was proposed.</p></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"190 ","pages":"Article 108590"},"PeriodicalIF":5.7000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112324004493","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Additive manufacturing (AM) has broad application prospects in the field of aviation, whereas it remains a challenge to fully eliminate the manufacturing defects. As a result, the fatigue performance is poor and has a large scatter. The fatigue performance and life prediction method have become a major hindrance for the application of AM in aviation field. In this paper, the microstructure and defect characteristics of SLM Al-Mg-Sc-Zr alloy that built in transverse direction (TD) and parallel direction (PD) were studied. Then the fatigue performance was investigated, and the relationship between critical defect characteristics and fatigue life was analyzed qualitatively and quantitatively based on fracture analysis. The microstructure exhibits a bimodal grain structure with fine grain size. The defect study shown that there are more large-size defects and higher porosity in the PD specimens. The fatigue life is significantly influenced by the location, size and circularity of critical defects and stress amplitude. Correlation analysis suggested that the defect location is the most influential factor on fatigue performance, followed by stress amplitude, defect circularity and defect size. Finally, a fatigue life prediction model based on stress amplitude and defect characteristics of the critical defects was proposed.

Abstract Image

查看原文本刊更多论文

选择性激光熔化 Al-Mg-Sc-Zr 合金的疲劳机理和基于缺陷的新型寿命预测模型

快速成型制造（AM）在航空领域有着广阔的应用前景，但要完全消除制造缺陷仍是一项挑战。因此，疲劳性能较差且散差较大。疲劳性能和寿命预测方法已成为 AM 在航空领域应用的主要障碍。本文研究了在横向（TD）和平行（PD）方向制造的 SLM Al-Mg-Sc-Zr 合金的微观结构和缺陷特征。然后研究了其疲劳性能，并基于断裂分析定性和定量分析了临界缺陷特征与疲劳寿命之间的关系。微观结构呈现出晶粒细小的双峰晶粒结构。缺陷研究表明，PD 试样中大尺寸缺陷较多，孔隙率较高。临界缺陷的位置、尺寸和圆度以及应力振幅对疲劳寿命有很大影响。相关分析表明，缺陷位置是对疲劳性能影响最大的因素，其次是应力振幅、缺陷圆度和缺陷尺寸。最后，提出了基于应力振幅和临界缺陷特征的疲劳寿命预测模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.