Fatigue & Fracture of Engineering Materials & Structures最新文献_第8页

Scale-dependent mechanical performance variations in polylactic acid lattice structures fabricated via additive manufacturing 通过快速成型技术制造的聚乳酸晶格结构的机械性能变化与规模有关

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-14 DOI: 10.1111/ffe.14386

Zhuo Xu, Fabrizio Sarasini, Elena Medori, Filippo Berto, Nima Razavi

{"title":"Scale-dependent mechanical performance variations in polylactic acid lattice structures fabricated via additive manufacturing","authors":"Zhuo Xu, Fabrizio Sarasini, Elena Medori, Filippo Berto, Nima Razavi","doi":"10.1111/ffe.14386","DOIUrl":"10.1111/ffe.14386","url":null,"abstract":"The objective of this research is to explore the scale effect on the mechanical properties of sheet-based triply periodic minimal surface (TPMS) uniform lattice structures fabricated with PLA (polylactic acid) under quasi-static loading conditions. The scale dependency was evaluated by two additional breakdown categories, namely, wall thickness effect and unit cell size effect. Deformation mechanisms and failure modes as well as mechanical properties including stiffness, yield strength, first peak stress, and energy absorption based on the categories of wall thickness, unit cell size, and scale were evaluated experimentally. The assessment of the scale effect involved considering the combined influence of wall thickness and unit cell size. In addition, numerical analysis was also performed to investigate the stress distributions and compare with the experimental results for certain geometries. Ultimately, the relation between the normalized mechanical properties and relative density is evaluated and categorized, which can be used as an indication for future design practices.","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"47 10","pages":"3561-3583"},"PeriodicalIF":3.1,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ffe.14386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650653","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

Creep crack growth in alloy 247LC-DS 合金 247LC-DS 中蠕变裂纹的增长

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-10 DOI: 10.1111/ffe.14385

Zachary B. Towner, Santosh B. Narasimhachary, Phillip W. Gravett, Richard W. Neu, Christopher L. Muhlstein, Ashok Saxena

{"title":"Creep crack growth in alloy 247LC-DS","authors":"Zachary B. Towner, Santosh B. Narasimhachary, Phillip W. Gravett, Richard W. Neu, Christopher L. Muhlstein, Ashok Saxena","doi":"10.1111/ffe.14385","DOIUrl":"10.1111/ffe.14385","url":null,"abstract":"Creep crack growth experiments were performed at 750°C, 850°C, and 950°C on nominally 3 and 12.7 mm thick compact type specimens of alloy 247LC-DS, a Ni-base superalloy used for hot-section gas turbine blades. The primary crack plane was transverse to the solidification direction. The crack path–microstructure interaction was characterized. Crack growth occurred in a creep-ductile manner and data analyses utilized time-dependent fracture mechanics. No measurable crack growth occurred at 750°C. Cracks grew by formation, growth, and coalescence of cavities on interdendritic carbides in both the primary crack plane and normal to said plane at 850°C and 950°C. The variability in the crack growth rate was higher in thicker specimens, but the mean creep crack growth rate versus Ct relationship in 247LC-DS was neither sensitive to test temperature ≥850°C nor specimen thickness. Quantitative relationships between da/dt and Ct were derived for mean, upper, and lower bound creep crack growth rate trends.","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"47 10","pages":"3546-3560"},"PeriodicalIF":3.1,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ffe.14385","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141660044","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

Characterization of compressive fatigue behavior and acoustic emission analysis of Ti6Al4V cellular lattice materials fabricated by laser powder bed fusion 通过激光粉末床熔融技术制造的 Ti6Al4V 蜂窝晶格材料的压缩疲劳行为特征和声发射分析

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-10 DOI: 10.1111/ffe.14387

Sunil Raghavendra, Francesca Russo, Raffaele De Biasi, Emiliano Rustighi, Gianluca Zappini, Filippo Berto, Matteo Benedetti

{"title":"Characterization of compressive fatigue behavior and acoustic emission analysis of Ti6Al4V cellular lattice materials fabricated by laser powder bed fusion","authors":"Sunil Raghavendra, Francesca Russo, Raffaele De Biasi, Emiliano Rustighi, Gianluca Zappini, Filippo Berto, Matteo Benedetti","doi":"10.1111/ffe.14387","DOIUrl":"10.1111/ffe.14387","url":null,"abstract":"This study investigates the mechanical properties and fatigue performance of Ti6Al4V cellular lattice materials (CLMs) featuring five distinct unit cell types (BCC-Z, BCC, Octet, Truncated cuboctahedron [TCO], and Trabecular) at a relative density of 25%. Compression tests were conducted to assess static properties, including Young's modulus and yield strength. Subsequently, compression–compression fatigue tests (R = 0.1) were performed to evaluate fatigue behavior. Acoustic emission analysis was employed during static and fatigue tests to explore the potential for failure prediction. Results reveal that BCC-Z and TCO exhibit slightly higher Young's moduli, surpassing 20 GPa, while BCC, Octet, and Trabecular display moduli ranging from 6 to 12 GPa. Regarding normalized fatigue behavior, BCC-Z demonstrates superior fatigue resistance, followed by TCO. Notably, the acoustic emission parameters significantly correlate with the unit cell type. Lastly, a strong relationship between the initiation of failure and changes in acoustic emission parameters is observed, establishing a meaningful link between the static and fatigue curves and acoustic emission results.","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"47 10","pages":"3910-3929"},"PeriodicalIF":3.1,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662628","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 effect of fiber bridging on mode I fatigue delamination propagation—Part II: Cohesive zone model 纤维桥接对模式 I 疲劳分层扩展的影响--第二部分：内聚区模型

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-09 DOI: 10.1111/ffe.14382

Hila Ben Gur, Leslie Banks-Sills

引用次数: 0

Experimental and numerical investigations on fretting fatigue in a bridge-flat component using a stress life prediction model 利用应力寿命预测模型对桥梁平板构件的摩擦疲劳进行实验和数值研究

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-04 DOI: 10.1111/ffe.14384

Xiyuan Zhang, Dasheng Wei, Shun Yang

引用次数: 0

Physically based modelling of orientation deviation effect on mechanical behavior for dual-phase single-crystal superalloy 基于物理的双相单晶超级合金力学性能取向偏差效应模型

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-04 DOI: 10.1111/ffe.14376

Qian Yin, Ming Li, Zhixun Wen, Xiufang Gong, Jundong Wang, Fei Li, Wei Sun, Zhufeng Yue

{"title":"Physically based modelling of orientation deviation effect on mechanical behavior for dual-phase single-crystal superalloy","authors":"Qian Yin, Ming Li, Zhixun Wen, Xiufang Gong, Jundong Wang, Fei Li, Wei Sun, Zhufeng Yue","doi":"10.1111/ffe.14376","DOIUrl":"10.1111/ffe.14376","url":null,"abstract":"This work systematically investigates the orientation deviation effect on the elastoplastic deformation of a dual-phase, nickel-based single-crystal superalloy through a combined experimental study and crystal plasticity finite element modelling method (CPFEM). Physically based, dual-phase microstructural model was developed based on scanning electron microscopy (SEM), which was implemented by finite element (FE) modelling using a representative volume element (RVE) with periodic boundary conditions. An extended equivalent yield criterion coupled with CPFEM was adopted to describe the non-uniform yield behavior induced by octahedral and cubic slip systems. The predicted results have shown that both the bulk behavior and localized stress–strain nature are orientation deviation dependent and that the first Euler angle plays a more important role in elastoplastic behavior than the second Euler angle. This study has thus advanced the basic understanding of the relationship between orientation deviation and the bulk deformation behavior of the dual-phase nickel-based single crystal.","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"47 10","pages":"3510-3528"},"PeriodicalIF":3.1,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678881","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 intra-build design parameters on the fracture toughness properties of Electron Beam Melted Ti6Al4V 制造内部设计参数对电子束熔融 Ti6Al4V 断裂韧性特性的影响

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-04 DOI: 10.1111/ffe.14381

Naghmeh Melody Mojib, Kaan Fero, Nicole Atmadja, Dwayne Arola, Xu Chen, M. Ramulu

{"title":"Effect of intra-build design parameters on the fracture toughness properties of Electron Beam Melted Ti6Al4V","authors":"Naghmeh Melody Mojib, Kaan Fero, Nicole Atmadja, Dwayne Arola, Xu Chen, M. Ramulu","doi":"10.1111/ffe.14381","DOIUrl":"10.1111/ffe.14381","url":null,"abstract":"Metal additive manufacturing technologies provide new opportunities for manufacturing complex components. However, the limited data on fracture behavior are delaying adoption in safe-critical applications. This paper aims to evaluate the effect of orientation and the intra-build design parameters on EBM Ti6Al4V fracture toughness using a design of experiments. Three builds comprised of over 150 compact tension samples were printed representative of the EBM build chamber, followed by microstructural characterization, X-ray microcomputed tomography, and fracture toughness testing per ASTM E399. The average fracture toughness was 65 MPa√m, with anisotropy as the largest source of variation due to crack growth behavior with respect to the build direction. Microstructure coarsening was observed with increase in height, resulting in an increase in fracture toughness, irrespective of sample geometry or orientation. Build orientation and sample location influenced the microstructure and fracture toughness and should be considered when adopting EBM components in load-bearing applications.","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"47 10","pages":"3894-3909"},"PeriodicalIF":3.1,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141679107","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 unified creep and fatigue life prediction approach for 316 austenitic stainless steel using machine and deep learning 利用机器学习和深度学习对 316 奥氏体不锈钢进行统一的蠕变和疲劳寿命预测

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-01 DOI: 10.1111/ffe.14379

Harsh Kumar Bhardwaj, Mukul Shukla

{"title":"A unified creep and fatigue life prediction approach for 316 austenitic stainless steel using machine and deep learning","authors":"Harsh Kumar Bhardwaj, Mukul Shukla","doi":"10.1111/ffe.14379","DOIUrl":"10.1111/ffe.14379","url":null,"abstract":"316 Austenitic stainless steel (AusSS) is extensively utilized in high-temperature industrial applications such as boiler tubes and nuclear reactor pressure vessels. These components commonly experience failure under high-temperature and high-pressure conditions, attributed to either creep or fatigue. Existing classical models for creep and fatigue life prediction focus on a singular failure mode (either creep or fatigue) and consider physical features only. This study aims to develop a unified life prediction model for both creep and fatigue phenomena. It synthesizes information from 12 additional unexplored chemical and microstructural features from the National Institute of Materials Science (NIMS), Japan database, and previously published literature. Machine learning (such as decision tree, random forest, and XGBoost) and deep learning (like deep neural network) algorithms are employed in the modeling process. The trained models have been cross-validated against unseen creep and fatigue life data, demonstrating superior prediction accuracy of 96.1% for deep neural network compared with classical models.","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"47 9","pages":"3444-3463"},"PeriodicalIF":3.1,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ffe.14379","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141716642","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

Energy characteristics and damage constitutive model of pre-cracked granite with or without filling materials 含或不含填充材料的预开裂花岗岩的能量特征和损伤构成模型

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-01 DOI: 10.1111/ffe.14380

Tao Tan, Chunyang Zhang, Bibo Dai, Yixian Wang

引用次数: 0

Inspection data-based prediction on fatigue crack of orthotropic steel deck using interpretable machine learning method 利用可解释的机器学习方法，基于检测数据预测正交异性钢甲板的疲劳裂纹

IF 3.1 2区材料科学

Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-07-01 DOI: 10.1111/ffe.14377

Yihu Ma, Benjin Wang, Airong Chen

{"title":"Inspection data-based prediction on fatigue crack of orthotropic steel deck using interpretable machine learning method","authors":"Yihu Ma, Benjin Wang, Airong Chen","doi":"10.1111/ffe.14377","DOIUrl":"10.1111/ffe.14377","url":null,"abstract":"The prediction of fatigue cracks on orthotropic steel decks is of great significance to the maintenance of bridges. However, fatigue cracks are affected by various uncertainties in reality, which encourages a data-driven study for the sake of reliability and accuracy of predictions. Based on the crack inspection data from orthotropic steel decks on actual bridges in China, the feature engineering is conducted considering fatigue crack behaviors, and the machine learning models are trained and tested for predicting cracks, including XGBoost, random forest, and multiple decision trees. According to the receiver operating characteristic curves of the three models, the XGBoost model has the best performance, whereas the average AUC is about 0.75, limited by the insufficient data volume of positive samples. With the SHAP values of all features, the interpretation of the machine learning model is presented, indicating that the global effects, that is, the longitudinal position, the loading condition, and the bridge age, are always influential factors for fatigue cracks. The local features concerning the interactions between cracks have an effect on crack behaviors to a certain extent, but less important. Accordingly, the interpretable machine learning model can provide conservative predictions in a rather transparent way on this issue, which can benefit decision-making in bridge designs, maintenance, and management.","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"47 10","pages":"3874-3893"},"PeriodicalIF":3.1,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141708867","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