Article
Engineering, Mechanical
Huan-Jie Zhang, Feng Yu, Shu-Xin Li, En-Guang He
Summary: This study proposes a new perspective on damage-induced shear strain localization to explain the mechanism of fine granular area (FGA) formation in high-strength steel under very-high-cycle fatigue (VHCF). Experimental and simulation results are used to characterize the microstructure of FGA and investigate the influence of global stress ratio on FGA formation.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2021)
Article
Engineering, Mechanical
Cheng Li, Yucheng Zhang, Liang Cai, Tianyi Hu, Ping Wang, Xiaolong Li, Rui Sun, Wei Li
Summary: This study investigates the fatigue behavior and failure mechanisms of three surface-carburized steels through high cycle fatigue and very high cycle fatigue tests. Fatigue design curves are established based on threshold values for small and long crack growth. A failure-based life prediction model is proposed and validated by comparing predicted and experimental results, showing good agreement.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2022)
Article
Chemistry, Physical
Ruixiang He, Haotian Peng, Fulin Liu, Muhammad Kashif Khan, Yao Chen, Chao He, Chong Wang, Qingyuan Wang, Yongjie Liu
Summary: Ultrasonic fatigue tests were conducted on Ti60 titanium alloy in the very high cycle fatigue regime, revealing continuous declining trends in the S-N curves and fatigue limits at different stress ratios. Fatigue cracks in the VHCF regime were found to initiate from the subsurface, particularly at high stress ratios. Two modified fatigue life prediction models based on fatigue crack initiation mechanisms for the Ti60 titanium alloy in the VHCF regime were developed and showed good agreement with experimental data.
Article
Engineering, Mechanical
Jianghua Li, Jingyu Sun, Guian Qian, Liting Shi
Summary: The evolution of defects during very-high-cycle fatigue of AlSi10Mg alloy produced by laser powder bed fusion was studied. Different cracking modes and propagation paths of fatigue cracks were observed due to variations in defect shape, nominal stress, and microstructure. Grain refinement behavior occurred at short cracks under VHCF conditions, with a heterogeneous distribution of fine grains underneath the crack surfaces.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Mechanics
Yu-Ke Liu, Jia-Le Fan, Gang Zhu, Ming -Liang Zhu, Fu -Zhen Xuan
Summary: Research on life prediction for mechanical structures in very high cycle fatigue regime is crucial, but collecting fatigue data can be expensive and time-consuming. To address this, machine learning's data-driven approach has emerged as a solution. In this study, a small dataset of GCr15 bearing steel subjected to very high cycle fatigue tests was extracted, and the Z-parameter model was used to generate extended datasets. Models driven by support vector machine, artificial neural network, and Z-parameter based physics-informed neural network were established. The physics-informed neural network calibrated by Z-parameter model trained on a larger dataset demonstrated more accurate and reliable prediction compared to other models. The effectiveness of Z-parameter in data extension and model construction as priori physics knowledge for a data-driven approach was shown. In the future, the Z-parameter model deserves more attention in life prediction for engineering materials and structures in the very high cycle fatigue regime.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Engineering, Mechanical
Jia-Le Fan, Gang Zhu, Ming-Liang Zhu, Fu-Zhen Xuan
Summary: This study combines physical parameters with artificial neural networks to predict the fatigue life of 15Cr and FV520B-I steels. The results show that this approach has higher predictive accuracy compared to traditional physical parameter models and the Mayer model.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Mechanics
Hongjiang Qian, Zhiyong Huang, Yeting Xu, Qikai Zhou, Jian Wang, Jiebin Shen, Zeshuai Shen
Summary: This study uses Monte Carlo Simulation (MCS) to expand the low VHCF dataset and proposes a dynamic recurrent machine learning model, which significantly improves the predictive performance of ML models. The challenge of predicting the life of sparse VHCF specimens is solved, reducing the cost and time of VHCF prediction.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Engineering, Mechanical
Tao Shi, Jingyu Sun, Jianghua Li, Guian Qian, Youshi Hong
Summary: Using machine learning models and data interpolation, the influence of defect features on the fatigue performance of selective laser melted AlSi10Mg alloys was investigated. The results showed that increasing defect distance, circularity, and layer thickness improved fatigue life, while increasing stress amplitude, stress ratio, and defect size decreased fatigue life.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Engineering, Mechanical
Chao -Lin Chen, De-Guang Shang, Na-Min Xiao, Xing -Wu Li, Ai-Xue Sha, Jing Li, Jing-Xuan Li, Zhi-Qiang Tang, Zhao-Yun Han, Yi-Er Guo, Dao-Hang Li
Summary: The crack initiation mechanism of Ti60 titanium alloy under very high cycle fatigue at different temperatures was studied. The cracks were found to initiate on oversized facets in the subsurface. Based on this mechanism, a full-life prediction model at room temperature and a temperature-dependent model were proposed. Experimental and predicted results showed that the proposed method can effectively predict the very high cycle fatigue life with an error within a factor of 3.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Materials Science, Multidisciplinary
Yang Wang, Guo-Qin Sun, Jinfeng Liu, Xiaodong Liu, Deguang Shang
Summary: A new multiaxial high-cycle fatigue damage parameter is proposed in this study, which can accurately predict the failure criterion and life prediction of structural components under complex low stress. The feasibility of the model is verified by test data of different materials, and the predicted results show smaller errors compared to other fatigue models.
INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
(2022)
Article
Engineering, Mechanical
Yipeng Chen, Weiwen Kong, Chao Yuan, Shuai Liu, Yong Cai, Yongqiang Wang, Xinyu Gao
Summary: The high-cycle fatigue behavior of wrought superalloy GH4742 was investigated at room temperature, 650 degrees C, and 750 degrees C. The fatigue strength at 107 cycles increases with temperature due to different fracture modes. Fatigue cracks originate from the specimen surface at room temperature, while at higher temperatures they originate from subsurface or internal crystallographic planes. The dislocation density and deformation mechanisms vary with temperature, involving APBs shearing, Orowan bypassing, and stacking faults shearing.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Materials Science, Multidisciplinary
Zhi Qin, Bin Li, Chen Chen, Tianyue Chen, Rui Chen, Han Zhang, Hongqian Xue, Changfeng Yao, Liang Tan
Summary: The study investigated the high cycle and very high cycle fatigue behavior of the GH4169 superalloy. The results showed that failures in different fatigue regimes had different initiations, and significant strain localization occurred at the twin boundaries of the material under fatigue cyclic loading.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Mechanics
Bin Li, Chen Chen, Zhi Qin, Hongqian Xue
Summary: A fatigue life prediction model is proposed for as-received 7075-T6 Al alloy material in the high to very high cycle fatigue (VHCF) regime. The model utilizes a crystal plasticity finite element (CPFE) framework and incorporates the modified Ohno-Wang constitutive model to account for the evolution of back stress. Experimental validation shows that the model accurately predicts VHCF life and captures 72.8%-81.3% of the experimental fatigue life. Additionally, the model successfully captures localized deformation at the grain scale considering the heterogeneity of mechanical properties.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Engineering, Mechanical
Jun Li, Zhengmao Yang, Guian Qian, Filippo Berto
Summary: This study proposed an ML model for VHCF analysis, enlarged dataset size through Monte Carlo simulation, and achieved good prediction accuracy.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Engineering, Mechanical
Xiaolong Li, Yucheng Zhang, Wei Li, Siqi Zhou, Rui Sun, Cheng Li, Ping Wang, Tatsuo Sakai
Summary: Asymmetric load tests were conducted on a nickel-based superalloy at 25 degrees C and 750 degrees C to investigate its high-cycle-fatigue and very-high-cycle-fatigue properties at elevated temperature. The longer life at 750 degrees C is attributed to internal failure with crystallographic facets. The competition between temperature and vacuum effects results in lower threshold values for crack sizes at elevated temperature. Predicted fatigue life using a proposed crack nucleation life model is within a factor of three compared to experimental data.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Materials Science, Multidisciplinary
Pengfei Liu, Wei Li, Abdelhak Nehila, Zhenduo Sun, Hailong Deng
Article
Engineering, Mechanical
Wei Li, Hongqiao Zhao, Abdelhak Nehila, Zhenyu Zhang, Tatsuo Sakai
INTERNATIONAL JOURNAL OF FATIGUE
(2017)
Article
Engineering, Mechanical
Abdelhak Nehila, Wei Li, Ning Gao, Xinxin Xing, Hongqiao Zhao, Ping Wang, Tatsuo Sakai
INTERNATIONAL JOURNAL OF FATIGUE
(2018)
Article
Mechanics
Wei Li, Siqi Zhou, Xiaolong Li, Hailong Deng, Abdelhak Nehila, Ping Wang, Tatsuo Sakai
ENGINEERING FRACTURE MECHANICS
(2020)
Article
Materials Science, Multidisciplinary
Abdelhak Nehila, Wei Li
Summary: To investigate the impact of variable amplitude on carburised 17CrNi high-strength steel, very high cycle fatigue tests were conducted on smooth specimens at stress ratios of 0 and -1. The fracture surfaces were analyzed using an optical microscope and a scanning electron microscope, revealing the presence of circular marks around inclusions inside the fisheye. Additionally, five damage models were employed to predict the fatigue life of the carburised 17CrNi steel, with the modified Miner's criterion demonstrating the highest accuracy in characterizing its fatigue life.
MATERIALS SCIENCE AND TECHNOLOGY
(2023)
