International Journal of Fatigue最新文献_第3页

The influence of printing strategies on the fatigue crack growth behaviour of an additively manufactured Ti6Al4V Grade 23 titanium alloy

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-17 DOI: 10.1016/j.ijfatigue.2025.108942

Rui F. Martins , Ricardo Branco , José Camacho , Wojciech Macek , Zbigniew Marciniak , António Silva , Cândida Malça

{"title":"The influence of printing strategies on the fatigue crack growth behaviour of an additively manufactured Ti6Al4V Grade 23 titanium alloy","authors":"Rui F. Martins , Ricardo Branco , José Camacho , Wojciech Macek , Zbigniew Marciniak , António Silva , Cândida Malça","doi":"10.1016/j.ijfatigue.2025.108942","DOIUrl":"10.1016/j.ijfatigue.2025.108942","url":null,"abstract":"<div><div>The selective laser melting (SLM) process, a type of laser powder-bed fusion (LPBF) in additive manufacturing (AM), uses a high-power density laser to melt metallic powders. This study involved 3D printing Compact Tension (CT) specimens from titanium alloy Ti6Al4V, known for its rigidity, corrosion resistance, and biocompatibility, making it suitable for aerospace and medical applications.</div><div>To predict fatigue life, it is essential to assess fatigue crack growth rates (FCGR) in the presence of cracks. This investigation tested three printing strategies − transversal, longitudinal, and cross − under constant amplitude loading (R = 0.2) and compared the results with reference titanium alloys. Scanning electron microscopy (SEM) was used to analyze the fracture surfaces.</div><div>The results indicated that the as-built AM transversal CT specimens (R = 0.2) had superior FCGR compared to the longitudinal and cross specimens, closely matching those of SLM-produced Ti6Al4V heat-treated at 670 °C (R = 0.05). The transverse deposition mode yielded the best performance, with fracture surfaces exhibiting mainly transgranular propagation. In addition, fracture surface topography measurements showed a strong correlation with fatigue life, particularly the relationship between the mean depth of furrows and the number of cycles to failure.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108942"},"PeriodicalIF":5.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Notch structural stress theory: Part Ⅲ surface roughness effect on fatigue lives

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-17 DOI: 10.1016/j.ijfatigue.2025.108938

Yifei Yu , Wenchun Jang , Bingying Wang , Fuxiao Hu , Hongge Li , Zhiqiang Ding

{"title":"Notch structural stress theory: Part Ⅲ surface roughness effect on fatigue lives","authors":"Yifei Yu , Wenchun Jang , Bingying Wang , Fuxiao Hu , Hongge Li , Zhiqiang Ding","doi":"10.1016/j.ijfatigue.2025.108938","DOIUrl":"10.1016/j.ijfatigue.2025.108938","url":null,"abstract":"<div><div>The dispersion of fatigue data is largely attributed to the effects of surface roughness, which are often overlooked in current structural fatigue assessment methodologies. This study examines the influence of surface roughness on the fatigue life of aluminum alloy notched specimens using our previously established Theory of Notch Structural Stress (TNSS). Results demonstrate a strong correlation between the <em>IR</em> describing the influence from structure factors and <em>p<sub>i</sub></em> related to fatigue life prediction, when the maximum valley depth of the surface profile is employed as an appropriate parameter. Consequently, TNSS enables accurate fatigue life predictions across varying notch geometries and surface roughness conditions.</div><div>While surface roughness is commonly regarded as having minimal impact on fatigue performance in the presence of sharp notches, the definition of notch sharpness remains ambiguous. In respect of this point, TNSS quantifies roughness sensitivity across different notch forms within a unified physical framework, providing a generalized understanding of roughness effects on fatigue lives without disregarding the crack initiation stage.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108938"},"PeriodicalIF":5.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel neural network model considering cyclic loading condition for low-cycle fatigue life prediction

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-16 DOI: 10.1016/j.ijfatigue.2025.108943

Hongguang Zhou , Ziming Wang , Yunpeng Zhao , Congjie Kang , Xiaohui Yu

{"title":"A novel neural network model considering cyclic loading condition for low-cycle fatigue life prediction","authors":"Hongguang Zhou , Ziming Wang , Yunpeng Zhao , Congjie Kang , Xiaohui Yu","doi":"10.1016/j.ijfatigue.2025.108943","DOIUrl":"10.1016/j.ijfatigue.2025.108943","url":null,"abstract":"<div><div>Existing data driven low-cycle fatigue (LCF) life prediction models exhibit limited attention to the heterogeneity of input features and relatively insufficient consideration of cyclic loading condition. This study introduces a novel approach based on a long short-term memory parallel hierarchical neural network (LSTM-PHNN). Firstly, the input features are classified into three categories based on their physical significance and distribution characteristics: elemental parameters, microstructural property parameters, and loading parameters. Next, waveform features over a complete cycle are reconstructed for different loading parameters to characterize the impact of time-series cyclic loading condition on fatigue life. Finally, three predictive models were developed: a fully connected neural network (FCNN), a parallel hierarchical neural network (PHNN), and the proposed LSTM-PHNN model. Comparative analysis was conducted using the small sample LCF dataset of 316L stainless steel. The results show that the proposed LSTM-PHNN model outperforms both the FCNN and PHNN models,with almost all predictive data falling within a scatter band of 1.5 times and the prediction accuracy on the test set reaching 0.954. The above demonstrate that the LSTM-PHNN model provides a highly accurate and robust method for predicting LCF life with a small amount of experimental data.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108943"},"PeriodicalIF":5.7,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143678349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fatigue behavior and failure mechanism of friction self-piercing riveted aluminum alloy 2060-T8 joints

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-16 DOI: 10.1016/j.ijfatigue.2025.108940

Jiarui Yuan , Yunwu Ma , Yunpeng Liu , Wu Xu , Ninshu Ma , Yongbing Li

{"title":"Fatigue behavior and failure mechanism of friction self-piercing riveted aluminum alloy 2060-T8 joints","authors":"Jiarui Yuan , Yunwu Ma , Yunpeng Liu , Wu Xu , Ninshu Ma , Yongbing Li","doi":"10.1016/j.ijfatigue.2025.108940","DOIUrl":"10.1016/j.ijfatigue.2025.108940","url":null,"abstract":"<div><div>Friction self-piercing riveting (F-SPR) provides an enabling technology for high efficiency and reliability joining of thin-walled structures in the aviation field. However, there is still a lack of quantitative understanding of the F-SPR joints fatigue performance, hindering its engineering application. For this purpose, the forming characteristics, static mechanical and fatigue properties of aluminum alloy 2060-T8 flat die F-SPR lap joints are systematically investigated by experiments. X-ray microscope is used to conduct a non-destructive observation for the crack initiation and propagation processes in the F-SPR joint under cyclic loads. A three-dimensional finite element model is developed to further reveal its stress distribution and failure mechanism. Two typical fatigue failure modes are identified, one is the rivet shear fracture accompanied by incomplete lower sheet fracture for high load level, the other is the lower sheet fracture under the rivet tip for low load level. Different from the low load level condition, the fracture position of the lower sheet at high load level is the contact surface between the sheets outside the rivet shank, which can be attributed to the stress concentration and the severe fretting wear. Moreover, numerical simulation indicates that the stress concentration of the rivet is mainly located at the groove under the rivet cap, and the stress in the sheets is concentrated at the rivet tip and the contact surface, which could well explain the experimental results.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108940"},"PeriodicalIF":5.7,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143678350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel physical cycle-jump method for fatigue crack simulation of polycrystalline nickel-based superalloy

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-15 DOI: 10.1016/j.ijfatigue.2025.108932

Shaojing Dong, Minhui Zhou, Xiuli Shen

引用次数: 0

Neural network approaches for real-time fatigue life estimation by Surrogating the rainflow counting method

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-15 DOI: 10.1016/j.ijfatigue.2025.108941

Yiwen Guo, Liangxing Li, Jiabin Gui, Shurui Hu

{"title":"Neural network approaches for real-time fatigue life estimation by Surrogating the rainflow counting method","authors":"Yiwen Guo, Liangxing Li, Jiabin Gui, Shurui Hu","doi":"10.1016/j.ijfatigue.2025.108941","DOIUrl":"10.1016/j.ijfatigue.2025.108941","url":null,"abstract":"<div><div>Fatigue life estimation is critical for ensuring the safety and reliability of systems under cyclic loading. Traditional rainflow counting methods require exhaustive traversal of load histories, making them computationally expensive for real-time applications. To address this issue, this present study leverages the increasing demand for efficient high-cycle fatigue (HCF) life estimation methods, combining neural network surrogate modeling with physical principles to enhance both accuracy and computational speed. The Euler neural network (ENN) and the Runge-Kutta 4th-order neural network (RK4NN) for fatigue life estimation are proposed. These approaches are validated by comparing the results of rainflow counting with wind turbine damage ratios, demonstrating the accuracy achieves errors within 15 % for over 74 % of cases in the numerical stability range. Moreover, the RK4NN displayed superior generalization and fitting capacities across varied load conditions, effectively capturing early-stage damage growth while avoiding overfitting with the mean squared error 1.99 × 10<sup>−36</sup>. Additionally, the ENN and the RK4NN achieved the acceleration ratio of 19.53 × and 19.38 × respectively in comparison with the modified rainflow counting method (RCM). These findings underscore the practical value of the surrogate models in improving the real-time responsiveness and computational efficiency of fatigue life estimation frameworks, particularly in digital twin applications for industrial systems.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108941"},"PeriodicalIF":5.7,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143678351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the assessment of low cycle fatigue performance of octet-based structural metamaterial

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-13 DOI: 10.1016/j.ijfatigue.2025.108936

Attilio Arcari , Evan P. Strickland , Nicole A. Apetre , John G. Michopoulos

{"title":"On the assessment of low cycle fatigue performance of octet-based structural metamaterial","authors":"Attilio Arcari , Evan P. Strickland , Nicole A. Apetre , John G. Michopoulos","doi":"10.1016/j.ijfatigue.2025.108936","DOIUrl":"10.1016/j.ijfatigue.2025.108936","url":null,"abstract":"<div><div>Although metamaterials have shown their superior multiphysics responses compared to their solid counterparts, designing and deploying them requires that their durability and damage tolerance properties be well understood and characterized. The current work investigates low cycle fatigue properties of octet-based metamaterials by conducting an experimental fatigue study and identifying the failure modes and sequence within the strut-based lattices. A geometry consisting of octet cells was manufactured by selective laser sintering (SLS) using a PA2200 − Polyamide 12 material. The fatigue life was experimentally measured and compared for samples made with octets of different strut thicknesses in terms of the normalized specimen effective stiffness as a function of cycles. The progression of strut failures showed that the breaking of a strut within the main center volume of the sample was the most significant event in the fatigue life of the sample. A novel visualization technique to better analyze the finite element modeling results of the tested samples was developed and additional tests for samples with an initial state of damage demonstrated the validity of the approach.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108936"},"PeriodicalIF":5.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143678362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A data-assisted physics-informed neural network for predicting fatigue life of electronic components under complex shock loads

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-13 DOI: 10.1016/j.ijfatigue.2025.108933

Shuai Ma , Yongbin Dang , Yi Sun , Zhiqiang Yang

{"title":"A data-assisted physics-informed neural network for predicting fatigue life of electronic components under complex shock loads","authors":"Shuai Ma , Yongbin Dang , Yi Sun , Zhiqiang Yang","doi":"10.1016/j.ijfatigue.2025.108933","DOIUrl":"10.1016/j.ijfatigue.2025.108933","url":null,"abstract":"<div><div>Reusable spacecraft electronic components experience multiple, complex shock damage during their operational life, which is a primary contributor to mission failure. This study proposes a data-assisted physics-informed neural network (DA-PINN) model to assess fatigue damage in electronic components under complex shock loads. Unlike traditional PINN that solves partial differential equations, DA-PINN combines experimental with physics equations to enhance prediction accuracy. An autoregressive (AR) model was used to improve the shock fatigue life model, which was then integrated as a physical constraint into the loss function of DA-PINN. Subsequently, using ball grid array (BGA) solder joints as the research subject, complex shock fatigue experiments were conducted to train and validate the DA-PINN model. The results demonstrate the outstanding performance of the DA-PINN model, with all predicted shock fatigue life values falling within a scatter band of 1.5 times, surpassing the traditional shock fatigue life model and artificial neural networks. Notably, the physics-informed constraints embedded in DA-PINN enable it to maintain strong prediction accuracy and stability even when trained on small datasets. The proposed model can provide a reference for predicting the shock fatigue life of electronic components in reusable spacecraft.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108933"},"PeriodicalIF":5.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Grain size refinement of hard nitride coating to mitigate fatigue performance degradation in ductile metal substrate 细化硬氮化物涂层的晶粒尺寸，缓解韧性金属基材的疲劳性能退化

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-12 DOI: 10.1016/j.ijfatigue.2025.108935

Zhaolu Zhang

{"title":"Grain size refinement of hard nitride coating to mitigate fatigue performance degradation in ductile metal substrate","authors":"Zhaolu Zhang","doi":"10.1016/j.ijfatigue.2025.108935","DOIUrl":"10.1016/j.ijfatigue.2025.108935","url":null,"abstract":"<div><div>This paper proposes an effective way to relieve the side effect of hard nitride coating on tough metal substrate by reducing coating grain size and revealing its inner mechanism. Utilizing the thickness-dependent effect of physical vapor deposited hard coating grain size, TiN coatings with grain sizes of 9.6 nm, 16.5 nm, and 23.4 nm were prepared on the surface of 2A70 aluminum alloy fatigue specimen by filtered cathodic vacuum arc deposition. Rotating bending fatigue tests revealed that the median fatigue limits of 2A70, 2A70 with TiN coating at grain sizes of 9.6 nm, 16.5 nm, and 23.4 nm are 165.83 MPa, 127.5 MPa, 113.75 MPa, and 112.5 MPa, respectively. Under high-cycle fatigue loading, the TiN coating with a grain size of 9.6 nm exhibits the least damage to the substrate’s fatigue performance. And the fatigue resistance of TiN determines its damage extent to metal substrate’s fatigue behavior. Molecular dynamics analysis shows that the maximum stress experienced by TiN coatings increases with grain size after undergoing various fatigue loading cycles. Under alternating loads, smaller grains with more grain boundaries lead to predominant intergranular sliding in the TiN coating.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108935"},"PeriodicalIF":5.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The influence of stress levels on crack initiation and propagation behaviors of an Al-Li alloy under high cycle fatigue 高循环疲劳下应力水平对铝锂合金裂纹萌发和扩展行为的影响

IF 5.7 2区材料科学

International Journal of Fatigue Pub Date : 2025-03-12 DOI: 10.1016/j.ijfatigue.2025.108934

Xusheng Yang , Wenya Xiao , Weijiu Huang , Xianghui Zhu , Mofang Liu , Yuanzhi Qian

{"title":"The influence of stress levels on crack initiation and propagation behaviors of an Al-Li alloy under high cycle fatigue","authors":"Xusheng Yang , Wenya Xiao , Weijiu Huang , Xianghui Zhu , Mofang Liu , Yuanzhi Qian","doi":"10.1016/j.ijfatigue.2025.108934","DOIUrl":"10.1016/j.ijfatigue.2025.108934","url":null,"abstract":"<div><div>This study investigates the crack initiation and propagation behavior in AA2099 Al-Li alloy under high cycle fatigue (HCF) conditions using SEM, TEM, and EDS. The research focuses on the formation mechanisms of slip bands (SBs) and fatigue striations of small cracks. Results show that crack initiation primarily originates from surface or near-surface regions, particularly near inclusions and Fe-rich particles. Crack initiation tends to be single-source at low stress levels and multi-source at higher stress levels. SBs formation is closely associated with stress levels; as stress increases, SBs formation becomes more pronounced, and band spacing decreases. At low stress levels, significant crack deflection occurs due to single slip mechanism activation, while at high stress levels, multiple slip system activation results in a flatter fatigue crack propagation (FCP) path. Early-stage FCP of Al-Li alloys under HCF exhibits small crack characteristics. The formation of fatigue striations in small cracks is influenced by the degree of work hardening at the crack tip, and the spacing of fatigue striations decreases with increasing stress levels. However, as the crack length increases, the spacing of fatigue striations gradually increases, which is attributed to the development of the crack closure effect during the later stages of FCP.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108934"},"PeriodicalIF":5.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0