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International Journal of Fatigue最新文献

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Characterization of surface irregularities and fatigue strength evaluation of wire arc additive manufactured high strength steel specimens
IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-28 DOI: 10.1016/j.ijfatigue.2024.108737
Jairan Nafar Dastgerdi , Omid Jaberi , Jonas Hensel
This paper aims to study the effects of surface topography on the fatigue strength of wire-arc additive manufacturing (WAAM) components, paying particular attention to the interaction of roughness, waviness, and microstructure. For this purpose, first, a novel surface topography characterization approach is proposed to separate waviness and roughness without distorting the surface features, as smaller-scale irregularities, called secondary crack-like defects, have been confirmed to exist at notch-like valleys of WAAM specimens. This novel approach can practically be employed for any surface data obtained by different measuring methods, and it is not limited to WAAM specimens. Then, Murakami’s area model with a corrected stress intensity factor is introduced to evaluate the fatigue strength of WAAM specimens by considering the interaction between surface features (roughness and waviness) and their simultaneous effect. This approach can also particularly predict the fatigue strength of other engineering components once a small secondary crack or defect exists at the notch tip without entailing fatigue tests or intricate analysis. Moreover, microstructure changes due to the back-and-forth transformations in the microstructure and the formation of a soft phase in the interlayer area at the notches during the manufacturing process with lower hardness values have been considered using this model.
{"title":"Characterization of surface irregularities and fatigue strength evaluation of wire arc additive manufactured high strength steel specimens","authors":"Jairan Nafar Dastgerdi ,&nbsp;Omid Jaberi ,&nbsp;Jonas Hensel","doi":"10.1016/j.ijfatigue.2024.108737","DOIUrl":"10.1016/j.ijfatigue.2024.108737","url":null,"abstract":"<div><div>This paper aims to study the effects of surface topography on the fatigue strength of wire-arc additive manufacturing (WAAM) components, paying particular attention to the interaction of roughness, waviness, and microstructure. For this purpose, first, a novel surface topography characterization approach is proposed to separate waviness and roughness without distorting the surface features, as smaller-scale irregularities, called secondary crack-like defects, have been confirmed to exist at notch-like valleys of WAAM specimens. This novel approach can practically be employed for any surface data obtained by different measuring methods, and it is not limited to WAAM specimens. Then, Murakami’s <span><math><mrow><msqrt><mrow><mi>area</mi></mrow></msqrt></mrow></math></span> model with a corrected stress intensity factor is introduced to evaluate the fatigue strength of WAAM specimens by considering the interaction between surface features (roughness and waviness) and their simultaneous effect. This approach can also particularly predict the fatigue strength of other engineering components once a small secondary crack or defect exists at the notch tip without entailing fatigue tests or intricate analysis. Moreover, microstructure changes due to the back-and-forth transformations in the microstructure and the formation of a soft phase in the interlayer area at the notches during the manufacturing process with lower hardness values have been considered using this model.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"192 ","pages":"Article 108737"},"PeriodicalIF":5.7,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cold expansion fatigue performance investigations of GH4169 inclined hole structures using numerical and experimental methods
IF 6 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-28 DOI: 10.1016/j.ijfatigue.2024.108736
Hangjie Shi, Yangjie Zuo
In this paper, the inclined cold expansion (ICE) method of superalloy open hole structures was proposed, which provided valuable insights for the life improvement of aero-engine inclined hole structures. The improvements in the static and fatigue properties of GH4169 specimens with inclined holes were characterized. In addition, tensile and fatigue tests were carried out, and the surface strains were assessed by digital image correlation (DIC). The stiffness degradation and fatigue fracture behavior of GH4169 specimens with inclined holes were also discussed. The results showed that ICE could cause the expansion of inclined hole structures and the enlargement of bulges, resulting in tangential residual compressive stress at the hole edge. With the increase of the hole inclinations, the residual stress of the specimen was more uneven in radial direction, while more uniform in axial direction. The fatigue life of the strengthened all increased under three loading levels. The crack initiation zone moved near the entrance layer after ICE. Moreover, ICE increased the crack growth zone, and significantly inhibited the crack growth rate and stiffness degradation rate.
{"title":"Cold expansion fatigue performance investigations of GH4169 inclined hole structures using numerical and experimental methods","authors":"Hangjie Shi, Yangjie Zuo","doi":"10.1016/j.ijfatigue.2024.108736","DOIUrl":"https://doi.org/10.1016/j.ijfatigue.2024.108736","url":null,"abstract":"In this paper, the inclined cold expansion (ICE) method of superalloy open hole structures was proposed, which provided valuable insights for the life improvement of aero-engine inclined hole structures. The improvements in the static and fatigue properties of GH4169 specimens with inclined holes were characterized. In addition, tensile and fatigue tests were carried out, and the surface strains were assessed by digital image correlation (DIC). The stiffness degradation and fatigue fracture behavior of GH4169 specimens with inclined holes were also discussed. The results showed that ICE could cause the expansion of inclined hole structures and the enlargement of bulges, resulting in tangential residual compressive stress at the hole edge. With the increase of the hole inclinations, the residual stress of the specimen was more uneven in radial direction, while more uniform in axial direction. The fatigue life of the strengthened all increased under three loading levels. The crack initiation zone moved near the entrance layer after ICE. Moreover, ICE increased the crack growth zone, and significantly inhibited the crack growth rate and stiffness degradation rate.","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"15 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793443","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
An experimental investigation of fatigue performance and damage distribution mechanism in Bi-Directional GFRP composites
IF 6 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-28 DOI: 10.1016/j.ijfatigue.2024.108735
Ateeb Ahmad Khan, Indra Vir Singh, Bhanu Kumar Mishra, Ramadas Chennamsetti
This study presents an experimental investigation of the fatigue performance and damage distribution mechanism of bi-directional GFRP composites. Uniaxial fatigue tests have been conducted under load-control, at stress ratios, R = 0.1, 0.5 and critical stress ratio (χ=-0.9). The influence of gauge length and surface roughness on fatigue life has been examined for R = 0.1. An infrared (IR) camera is employed to monitor temperature evolution and capture thermal images during the fatigue experiments. Fatigue stiffness degradation, energy dissipated per cycle, and severity of damage progression have been analyzed to elucidate the effects of stress levels and mean stress on fatigue performance. At higher stress levels, the damage is intense and localized, resulting in relatively shorter life due to fiber-breakage accompanied by rapid fatigue stiffness degradation. At lower stress levels, the damage is uniformly distributed and less severe, primarily involves stress concentration, resulting in longer fatigue lives. The study highlights the contrasting damage progression mechanisms for tension–tension and tension–compression fatigue. Under tension–tension fatigue, an oval-shaped damage zone forms perpendicular to the loading direction indicating transverse crack propagation, while under tension–compression fatigue, the damage zone aligns parallel to the loading direction indicating longitudinal crack propagation due to compressive loading.
{"title":"An experimental investigation of fatigue performance and damage distribution mechanism in Bi-Directional GFRP composites","authors":"Ateeb Ahmad Khan, Indra Vir Singh, Bhanu Kumar Mishra, Ramadas Chennamsetti","doi":"10.1016/j.ijfatigue.2024.108735","DOIUrl":"https://doi.org/10.1016/j.ijfatigue.2024.108735","url":null,"abstract":"This study presents an experimental investigation of the fatigue performance and damage distribution mechanism of bi-directional GFRP composites. Uniaxial fatigue tests have been conducted under load-control, at stress ratios, R = 0.1, 0.5 and critical stress ratio <mml:math altimg=\"si26.svg\"><mml:mrow><mml:mo stretchy=\"false\">(</mml:mo><mml:mi>χ</mml:mi><mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\">=</mml:mo><mml:mo linebreak=\"badbreak\" linebreakstyle=\"after\">-</mml:mo><mml:mn>0.9</mml:mn><mml:mo stretchy=\"false\">)</mml:mo></mml:mrow></mml:math>. The influence of gauge length and surface roughness on fatigue life has been examined for R = 0.1. An infrared (IR) camera is employed to monitor temperature evolution and capture thermal images during the fatigue experiments. Fatigue stiffness degradation, energy dissipated per cycle, and severity of damage progression have been analyzed to elucidate the effects of stress levels and mean stress on fatigue performance. At higher stress levels, the damage is intense and localized, resulting in relatively shorter life due to fiber-breakage accompanied by rapid fatigue stiffness degradation. At lower stress levels, the damage is uniformly distributed and less severe, primarily involves stress concentration, resulting in longer fatigue lives. The study highlights the contrasting damage progression mechanisms for tension–tension and tension–compression fatigue. Under tension–tension fatigue, an oval-shaped damage zone forms perpendicular to the loading direction indicating transverse crack propagation, while under tension–compression fatigue, the damage zone aligns parallel to the loading direction indicating longitudinal crack propagation due to compressive loading.","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"18 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793444","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
Corrigendum to “J-integral analysis: An EDXD and DIC comparative study for a fatigue crack” [Int. J. Fatigue 134 (2020) 105474]
IF 6 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-27 DOI: 10.1016/j.ijfatigue.2024.108722
A. Koko, P. Earp, T. Wigger, J. Tong, T.J. Marrow
{"title":"Corrigendum to “J-integral analysis: An EDXD and DIC comparative study for a fatigue crack” [Int. J. Fatigue 134 (2020) 105474]","authors":"A. Koko, P. Earp, T. Wigger, J. Tong, T.J. Marrow","doi":"10.1016/j.ijfatigue.2024.108722","DOIUrl":"https://doi.org/10.1016/j.ijfatigue.2024.108722","url":null,"abstract":"","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"20 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793447","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
Hybrid-driven probabilistic damage assessment of creep-fatigue-oxidation interaction
IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-27 DOI: 10.1016/j.ijfatigue.2024.108732
Wen-Rui Nie , Hang-Hang Gu , Xian-Cheng Zhang , Shan-Tung Tu , Run-Zi Wang
This paper presents a hybrid-driven probabilistic damage assessment approach by considering creep-fatigue-oxidation damage interaction (CFO-DI). Based on generalized strain energy density exhaustion (GSEDE) framework, the hybrid-driven concept integrates the strengths of both physics-based models and machine learning, exploring the frontier from deterministic evaluation to probabilistic assessment. Experimental investigations involving generalized creep-fatigue loading tests are conducted to establish a comprehensive dataset in Inconel 718 at 650 °C. Deterministic models for fatigue, creep, and oxidation damages are developed, and their interactions are analyzed using the GSEDE framework. To tackle limited experimental data, a divide-and-conquer strategy employing machine learning models is implemented for data augmentation. Probabilistic assessments are performed incorporating uncertainties from material properties, loading conditions, and model parameters using Monte Carlo simulations and Latin Hypercube Sampling. The results demonstrate accurate life prediction accuracy and reliable probability distributions in the presence of oxidation damage. Finally, a novel three-dimensional probabilistic CFO-DI assessment diagram quantified by the confidence level is developed, providing a technical pathway for safe-life design in high-temperature structural applications.
{"title":"Hybrid-driven probabilistic damage assessment of creep-fatigue-oxidation interaction","authors":"Wen-Rui Nie ,&nbsp;Hang-Hang Gu ,&nbsp;Xian-Cheng Zhang ,&nbsp;Shan-Tung Tu ,&nbsp;Run-Zi Wang","doi":"10.1016/j.ijfatigue.2024.108732","DOIUrl":"10.1016/j.ijfatigue.2024.108732","url":null,"abstract":"<div><div>This paper presents a hybrid-driven probabilistic damage assessment approach by considering creep-fatigue-oxidation damage interaction (CFO-DI). Based on generalized strain energy density exhaustion (GSEDE) framework, the hybrid-driven concept integrates the strengths of both physics-based models and machine learning, exploring the frontier from deterministic evaluation to probabilistic assessment. Experimental investigations involving generalized creep-fatigue loading tests are conducted to establish a comprehensive dataset in Inconel 718 at 650 °C. Deterministic models for fatigue, creep, and oxidation damages are developed, and their interactions are analyzed using the GSEDE framework. To tackle limited experimental data, a divide-and-conquer strategy employing machine learning models is implemented for data augmentation. Probabilistic assessments are performed incorporating uncertainties from material properties, loading conditions, and model parameters using Monte Carlo simulations and Latin Hypercube Sampling. The results demonstrate accurate life prediction accuracy and reliable probability distributions in the presence of oxidation damage. Finally, a novel three-dimensional probabilistic CFO-DI assessment diagram quantified by the confidence level is developed, providing a technical pathway for safe-life design in high-temperature structural applications.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"192 ","pages":"Article 108732"},"PeriodicalIF":5.7,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A microstructure sensitive machine learning-based approach for predicting fatigue life of additively manufactured parts 基于微观结构敏感的机器学习方法,用于预测快速成型零件的疲劳寿命
IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-26 DOI: 10.1016/j.ijfatigue.2024.108724
Prateek Kishore , Aratrick Mondal , Aayush Trivedi , Punit Singh , Alankar Alankar
Accurate fatigue life prediction of additive manufactured parts is critical for the reliability and safety assessment of the designs made for aerospace applications. The fatigue life depends on the cyclic stress experienced due to loads in operation, surface roughness, internal microstructure, and defects in the parts. The microstructure of a material contains signatures of the manufacturing process and post-processing experienced by the part. Incorporating microstructure information in fatigue life prediction is difficult using analytical and empirical relations. A data–driven machine learning framework can be used to model complex phenomena without solving the detailed underlying physics. Manual selection of important features from microstructure may not capture all the properties that affect fatigue. In this work, the fatigue data of Ti-6Al-4V alloy is collected from several sources and machine learning models are trained using surface roughness, stress cycles and microstructure images. The effect of utilizing microstructure images and their 2-point statistics data with convolutional neural networks and Gaussian process regression for prediction of fatigue life are demonstrated. Various methods of image processing, data preparation, and modeling techniques are studied and outcomes are discussed.
对添加剂制造的零件进行准确的疲劳寿命预测,对于航空航天应用设计的可靠性和安全性评估至关重要。疲劳寿命取决于零件在运行过程中因负载、表面粗糙度、内部微观结构和缺陷而产生的循环应力。材料的微观结构包含零件所经历的制造过程和后处理的特征。使用分析和经验关系很难将微观结构信息纳入疲劳寿命预测。数据驱动的机器学习框架可用于对复杂现象进行建模,而无需解决详细的基础物理学问题。人工从微观结构中选择重要特征可能无法捕捉到影响疲劳的所有特性。本研究从多个来源收集了 Ti-6Al-4V 合金的疲劳数据,并利用表面粗糙度、应力循环和微观结构图像训练了机器学习模型。利用卷积神经网络和高斯过程回归对微观结构图像及其两点统计数据进行疲劳寿命预测的效果得到了验证。对图像处理、数据准备和建模技术的各种方法进行了研究,并对结果进行了讨论。
{"title":"A microstructure sensitive machine learning-based approach for predicting fatigue life of additively manufactured parts","authors":"Prateek Kishore ,&nbsp;Aratrick Mondal ,&nbsp;Aayush Trivedi ,&nbsp;Punit Singh ,&nbsp;Alankar Alankar","doi":"10.1016/j.ijfatigue.2024.108724","DOIUrl":"10.1016/j.ijfatigue.2024.108724","url":null,"abstract":"<div><div>Accurate fatigue life prediction of additive manufactured parts is critical for the reliability and safety assessment of the designs made for aerospace applications. The fatigue life depends on the cyclic stress experienced due to loads in operation, surface roughness, internal microstructure, and defects in the parts. The microstructure of a material contains signatures of the manufacturing process and post-processing experienced by the part. Incorporating microstructure information in fatigue life prediction is difficult using analytical and empirical relations. A data–driven machine learning framework can be used to model complex phenomena without solving the detailed underlying physics. Manual selection of important features from microstructure may not capture all the properties that affect fatigue. In this work, the fatigue data of Ti-6Al-4V alloy is collected from several sources and machine learning models are trained using surface roughness, stress cycles and microstructure images. The effect of utilizing microstructure images and their 2-point statistics data with convolutional neural networks and Gaussian process regression for prediction of fatigue life are demonstrated. Various methods of image processing, data preparation, and modeling techniques are studied and outcomes are discussed.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"192 ","pages":"Article 108724"},"PeriodicalIF":5.7,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142719972","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
Study on the behavior and mechanism of double transition points in stable fatigue crack growth of superelastic NiTi shape memory alloy
IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-26 DOI: 10.1016/j.ijfatigue.2024.108719
Jinyu Wang, Xiaofan He
Fatigue crack growth (FCG) tests were conducted on superelastic NiTi alloys, demonstrating that the da/dNK curve in the stable crack growth stage exhibits two transition points in the double-logarithmic coordinate system, presenting a tri-linear form. Fracture surface SEM analysis indicated that the FCG mechanisms differ across the three stages on either side of the two transition points. This phenomenon is first discovered and studied in NiTi alloys. The study investigated the size and position relationships between the characteristic zones at the crack tip (phase transformation zone and cyclic plasticity zone) and the microstructure during crack growth. Based on this, a critical prediction method for the transition points was established and found to be in close agreement with the experimental results. Finally, the formation mechanism of the double transition points was explained by combining the SEM results of the fracture surfaces with every stage of FCG.
{"title":"Study on the behavior and mechanism of double transition points in stable fatigue crack growth of superelastic NiTi shape memory alloy","authors":"Jinyu Wang,&nbsp;Xiaofan He","doi":"10.1016/j.ijfatigue.2024.108719","DOIUrl":"10.1016/j.ijfatigue.2024.108719","url":null,"abstract":"<div><div>Fatigue crack growth (FCG) tests were conducted on superelastic NiTi alloys, demonstrating that the d<em>a</em>/d<em>N</em>-Δ<em>K</em> curve in the stable crack growth stage exhibits two transition points in the double-logarithmic coordinate system, presenting a tri-linear form. Fracture surface SEM analysis indicated that the FCG mechanisms differ across the three stages on either side of the two transition points. This phenomenon is first discovered and studied in NiTi alloys. The study investigated the size and position relationships between the characteristic zones at the crack tip (phase transformation zone and cyclic plasticity zone) and the microstructure during crack growth. Based on this, a critical prediction method for the transition points was established and found to be in close agreement with the experimental results. Finally, the formation mechanism of the double transition points was explained by combining the SEM results of the fracture surfaces with every stage of FCG.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"192 ","pages":"Article 108719"},"PeriodicalIF":5.7,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747483","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
Effect of grain boundary phase formed by Mn addition on initiation and propagation of fatigue cracks in homogenized Cu-6Ni-1.3Si alloy
IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-26 DOI: 10.1016/j.ijfatigue.2024.108731
Masahiro Goto , Takaei Yamamoto , Sangshik Kim , Eun-Ae Choi , Seung Zeon Han
High-strength cast Cu alloys often contain substantial quantities of alloying elements that promote the nucleation of heterogeneous particles, particularly at grain boundaries (GBs). In the Cu-6Ni-1.3Si alloy, intermetallic compounds such as Ni2Si form within the matrix and along the GBs following homogenization. Ni2Si particles within the matrix are homogeneously nucleated with diameters of a few tens of nanometers, which enhances matrix strength. However, heterogeneously nucleated Ni2Si particles at GBs, which can be several micrometers in size, negatively impact overall strength. To improve the strength of Cu-6Ni-1.3Si alloy, 2.1 wt% Mn was added. This Mn addition led to the formation of plate- or film-shaped intermetallic compounds, specifically Ni16Si7Mn6 (G-phase), at GBs after homogenization. Despite the Mn addition, Ni2Si precipitates with diameters of a few tens of nanometers still formed within the grains, but these were more densely distributed in the Mn-added alloy compared to the Mn-free alloy. Fatigue tests conducted on round bar specimens of both alloys showed that Mn addition enhanced fatigue strength. This enhancement is attributed to the suppression of both crack initiation and propagation along the GBs and within the matrix.
{"title":"Effect of grain boundary phase formed by Mn addition on initiation and propagation of fatigue cracks in homogenized Cu-6Ni-1.3Si alloy","authors":"Masahiro Goto ,&nbsp;Takaei Yamamoto ,&nbsp;Sangshik Kim ,&nbsp;Eun-Ae Choi ,&nbsp;Seung Zeon Han","doi":"10.1016/j.ijfatigue.2024.108731","DOIUrl":"10.1016/j.ijfatigue.2024.108731","url":null,"abstract":"<div><div>High-strength cast Cu alloys often contain substantial quantities of alloying elements that promote the nucleation of heterogeneous particles, particularly at grain boundaries (GBs). In the Cu-6Ni-1.3Si alloy, intermetallic compounds such as Ni<sub>2</sub>Si form within the matrix and along the GBs following homogenization. Ni<sub>2</sub>Si particles within the matrix are homogeneously nucleated with diameters of a few tens of nanometers, which enhances matrix strength. However, heterogeneously nucleated Ni<sub>2</sub>Si particles at GBs, which can be several micrometers in size, negatively impact overall strength. To improve the strength of Cu-6Ni-1.3Si alloy, 2.1 wt% Mn was added. This Mn addition led to the formation of plate- or film-shaped intermetallic compounds, specifically Ni<sub>16</sub>Si<sub>7</sub>Mn<sub>6</sub> (G-phase), at GBs after homogenization. Despite the Mn addition, Ni<sub>2</sub>Si precipitates with diameters of a few tens of nanometers still formed within the grains, but these were more densely distributed in the Mn-added alloy compared to the Mn-free alloy. Fatigue tests conducted on round bar specimens of both alloys showed that Mn addition enhanced fatigue strength. This enhancement is attributed to the suppression of both crack initiation and propagation along the GBs and within the matrix.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"192 ","pages":"Article 108731"},"PeriodicalIF":5.7,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747485","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
Structural reliability assessment under creep-fatigue considering multiple uncertainty sources based on surrogate modeling approach 基于代用建模方法的蠕变疲劳条件下结构可靠性评估(考虑多种不确定性源
IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-24 DOI: 10.1016/j.ijfatigue.2024.108728
Yuan-Ze Tang , Xian-Cheng Zhang , Hang-Hang Gu , Kai-Shang Li , Chang-Qi Hong , Shan-Tung Tu , Yutaka S. Sato , Run-Zi Wang
Creep-fatigue reliability assessment for high-temperature equipment is crucial but challenging due to the extensive data requirements and cumbersome methods. To enhance the implementation of creep-fatigue reliability assessment within engineering practice, this study employs multidimensional computational techniques grounded in the hybrid-driven paradigm. In detail, it presents a hybrid-driven creep-fatigue reliability assessment method integrating principles from mechanics, physics, and informatics and develops an integrated plug-in embedded in Abaqus software. The plug-in automates the implementation of parametric finite element analysis rooted in engineering damage mechanics, accommodating multiple uncertainty sources such as material properties, model parameters, geometry features, and applied loads. In particular, creep-fatigue reliability assessment utilizes a time-efficient alternative, facilitated by the adoption of surrogate modeling and Monte Carlo simulation. Furthermore, two typical examples from specimen-level (hole structure simulation specimen) to component-level (low-pressure turbine disk) are employed to demonstrate the availability and efficiency of the method and the plug-in. The plug-in with a hybrid-driven paradigm is poised to emerge as a powerful simulation-based engineering tool, facilitating the process of reliability assessment with enhanced convenience.
高温设备的蠕变疲劳可靠性评估至关重要,但由于需要大量数据和繁琐的方法,评估工作极具挑战性。为了在工程实践中更好地实施蠕变疲劳可靠性评估,本研究采用了基于混合驱动范式的多维计算技术。具体而言,它提出了一种混合驱动的蠕变疲劳可靠性评估方法,该方法集成了力学、物理学和信息学原理,并开发了一个嵌入到 Abaqus 软件中的集成插件。该插件可自动执行以工程损伤力学为基础的参数有限元分析,并可容纳多种不确定性来源,如材料属性、模型参数、几何特征和应用载荷。特别是,蠕变-疲劳可靠性评估采用了一种省时的替代方法,通过采用代用建模和蒙特卡罗模拟来实现。此外,从试样级(孔结构模拟试样)到组件级(低压涡轮盘)的两个典型例子都证明了该方法和插件的可用性和效率。具有混合驱动范式的插件有望成为一种强大的基于仿真的工程工具,以更大的便利性促进可靠性评估过程。
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引用次数: 0
A slope-based J-integral approach and advanced image processing for assessment of the cyclic fatigue delamination behavior of adhesive joints 基于斜率的 J 积分法和先进的图像处理技术用于评估粘合剂接头的循环疲劳分层行为
IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-11-23 DOI: 10.1016/j.ijfatigue.2024.108730
Gabriel Riedl , Francesco Baldi , Gernot M. Wallner
A fatigue fracture mechanics methodology was developed and established, employing a slope-based J-integral approach combined with advanced image processing techniques. Adhesively bonded double cantilever beam (DCB) specimens were tested under constant displacement amplitude loading. The beam rotation was tracked by affixing a repetitive pattern on the DCB specimens and capturing images at the maximum displacement amplitude. Using a custom-developed image processing procedure, the beam rotation was deduced. To validate the methodology, DCB fatigue experiments were conducted at 23, 60 and 75 °C on aluminum adherends bonded with a structural 2-K epoxy adhesive. The J-based approach was compared with a conventional, compliance-based linear elastic fracture mechanics (LEFM) method. The epoxy was a rather brittle, high-modulus adhesive with a bond line thickness of 0.25 mm, resulting in predominantly linear elastic material behavior. By analyzing the images taken during fatigue testing, a stiffening effect of the steel load blocks was observed. Excluding pattern elements directly below the load block yielded the best agreement between J-integral and LEFM data. Both approaches were in excellent agreement within the investigated temperature range. The investigated adhesive exhibited a highly temperature-dependent behavior, which was associated with higher crack propagation rates and a lower fatigue threshold at 60 and 75 °C.
采用基于斜率的 J 积分方法,结合先进的图像处理技术,开发并建立了疲劳断裂力学方法。在恒定位移振幅加载条件下,对粘合双悬臂梁(DCB)试样进行了测试。通过在 DCB 试样上粘贴重复图案并捕捉最大位移振幅时的图像来跟踪梁的旋转。利用定制开发的图像处理程序,可以推断出梁的旋转情况。为了验证该方法,在 23、60 和 75 °C 温度条件下,对使用 2-K 结构环氧树脂粘合剂粘合的铝质附着物进行了 DCB 疲劳实验。基于 J 的方法与传统的、基于顺应性的线性弹性断裂力学(LEFM)方法进行了比较。环氧树脂是一种相当脆的高模量粘合剂,粘合线厚度为 0.25 毫米,因此材料行为主要为线性弹性。通过分析疲劳测试期间拍摄的图像,可以观察到钢加载块的加固效应。排除负载块正下方的图案元素后,J 积分和 LEFM 数据的一致性最好。在所研究的温度范围内,两种方法都非常一致。所研究的粘合剂表现出与温度高度相关的行为,在 60 和 75 ° C 时,裂纹扩展率较高,疲劳阈值较低。
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引用次数: 0
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International Journal of Fatigue
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