Article
Engineering, Mechanical
Noel Brunetiere, Mathieu Rouillon
Summary: This study discusses the use of spiral grooves in mechanical face seals to enhance fluid film generation and reduce friction. However, the thickness of the film may cause a transition in the fluid flow regime, which needs to be evaluated.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Engineering, Mechanical
Shaoyu Zhu, Xiangjun Zhang, Jun Sun, Dagang Wang
Summary: In this study, the static behavior of misaligned journal bearings under heavy loads was investigated using a non-Newtonian lubricant (pseudoplastic fluid with power-law relationship). The generalized average Reynolds equation for rough journal bearing under pseudoplastic lubricant flow was derived, using the average flow method of Patir and Cheng for model equation establishment. The numerical solution of bearing performance parameters was obtained using the finite difference method and the successive over-relaxation method, and it was found that surface roughness could partially compensate for the effects of liner elastic deformation and lubricant shear thinning. The derived generalized average Reynolds equation can be applied not only in the research of hydrodynamic lubrication but also in the research of mixed lubrication.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Mechanical
Wei Feng, Yanfeng Han, Guo Xiang, Jiaxu Wang
Summary: Among three different microgroove distributions of Partial Microgroove Water-lubricated Bearings (PMWB), herringbone-groove bearings have the highest load capacity, followed by spiral-groove bearings and straight-groove bearings. Wall slip is shown to enhance the load capacity for all three types of microgroove distributions. The parametric study reveals that the eccentricity ratio significantly affects the lubrication performance of PMWB, while the groove depth and angle have minor effects.
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES
(2021)
Article
Chemistry, Multidisciplinary
Xichun Liu, Wei Chen
Summary: A convergent herringbone grooved journal bearing lubricated by liquid metal was designed in this study to improve the performance of the traditional constant-width herringbone grooved journal bearing in a computed tomography tube under high-temperature conditions. The bearing oil film thickness and Reynolds equation considering turbulence were established and solved using the finite difference method. The performance of the two bearings was compared, and the influence of structural parameters on their performance was studied. The results showed that the convergent herringbone grooved journal bearings outperformed the constant-width herringbone grooved journal bearings in terms of bearing capacity and stiffness coefficient. The optimal performance of the convergent herringbone grooved journal bearings was found when the number of grooves was 15-20, the helix angle was 30 degrees-45 degrees, the ratio of the groove to ridge was 1, and the groove depth was 0.02 mm -0.024 mm. This research provides valuable insights and a reference basis for the design of liquid metal bearings in high-performance CT equipment.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Wonvin Kim, Su Hyun Lim, Hyunsoo Hong, Kwang Il Jeong, Seung Yoon On, Seong Yeon Park, Jun Il You, Seong Su Kim
Summary: This study analyzed the effects of turbulence, inertial effect, and elastic deformation on a water-lubricated composite journal bearing system. The Reynolds equation and constitutive equation were modified and solved using the finite difference method and finite element method, respectively. The normalized minimum film thickness was modeled based on the Gaussian regression model, and new optimal maximum load-carrying capacity boundaries were proposed.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Engineering, Mechanical
Yuhao Zhao, Yanyang Zi, Zhenyi Chen, Mingquan Zhang, Yuanhang Zhu, Jianshu Yin
Summary: Ball bearings in liquid rocket turbopumps operating under extreme conditions generate significant power loss. To understand the power loss mechanism, a theoretical model considering cryogenic fluid and solid lubricant influence is proposed, which simulates the rolling-sliding behavior of balls. Eight power loss components of the bearing are deduced based on tribology and kinematic analysis. The proposed model is validated and shows that sliding, spinning, and hydraulic power losses are the most important components. Additionally, the tribological behavior of the ball affects the distribution of power loss components.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Engineering, Mechanical
Guo Xiang, Jiaxu Wang, Yanfeng Han, Tianyou Yang, Haiming Dai, Bowen Yao, Chuande Zhou, Liwu Wang
Summary: This study investigates the transient nonlinear dynamic behaviors of water-lubricated bearings with unbalanced rotors under mixed-TEHD condition. The thermal effect and friction force are found to play an important role in the nonlinear dynamic analysis. The perturbed method may lead to inaccurate predictions of transient hydrodynamic and contact forces, especially for the contact force, under mixed-TEHD condition. Parametric studies highlight the key factors for improving transient lubrication performance.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Philipp K. Batting, Patrick H. Wagner, Jurg A. Schiffmann
Summary: This paper presents a theoretical and experimental investigation of the potential of enhanced groove geometries in stabilizing a Herringbone Grooved Journal Bearing (HGJB) supported rotor. The results show a significant increase in instability onset speed when enhanced groove geometries are used compared to classical grooves, indicating the effectiveness of enhanced groove geometries in stabilizing HGJBs. The study also suggests that a rotor with a varying groove angle along the rotor axis performs similarly to fully enhanced grooves, providing a good trade-off between performance increase and design cost.
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Mechanical
J. C. Atwal, R. K. Pandey
Summary: This paper explores the performance parameters of a sector-shaped pad thrust bearing lubricated with water using a new pocket design, considering the effects of turbulence and cavitation. The study investigates the effects of new pocket attributes and compares the performance behaviors achieved with the new pocketed pad bearing with plain pad and rectangular pocketed bearing.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Mechanics
Fuxi Liu, Chunjie Yang, Shanwu Xu, Kang Xie, Dunzhao Xie, Binhui Han, Zhanlong LI
Summary: This study investigated the influence of grooving parameters and micro-groove cross-section shape on the lubrication performance of partially micro-grooved gas-lubricated parallel slider bearings. The multi-grid finite element method was adopted to obtain the pressure distribution of the bearings. The results showed that the grooving parameters and micro-groove cross-section shape significantly affected the hydrodynamic pressure, and adopting appropriate parameters can enhance the lubrication performance.
Article
Chemistry, Multidisciplinary
Mingyu Xu, Wei Chen
Summary: The study focuses on the application of liquid metal in high-performance computed tomography equipment, analyzing the viscosity of liquid metal and its performance under high temperature and vacuum conditions to provide theoretical guidance and analytical methods for improving equipment efficiency.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Mechanical
Jinsheng Qiao, Guangwu Zhou, Wei Pu, Renpan Li, Min He
Summary: This study establishes a turbulent mixed lubrication model of water lubricated rubber bearings (WLRBs), revealing the effect mechanism of turbulence in these bearings. The rationality of the model is verified through experiments, and optimal axial misalignment and radius clearance that can maximize the turbulent force are determined.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Engineering, Mechanical
Haifeng Ran, Peng Dai, Shuping Yan, Fengtao Wang, Xingjia Yao, Jianping Wang, Guizhong Zuo
Summary: This paper studies the lubrication mechanism of thrust bearings with herringbone spiral grooves by building a three-dimensional finite element flow model. The influence of parameters is analyzed, and the optimal structural parameter is proposed to improve bearing stability and provide a reference for engineering practice.
Article
Engineering, Mechanical
Wu Ouyang, Qichao Cheng, Yong Jin, Qilin Liu, Bin Wang, Lei Wang
Summary: By calculating a three-dimensional mechanical model, a fluid-solid coupling model for water-lubricated journal bearings was proposed, showing the impact of journal bending on lubrication performance distribution and high pressure peaks at both ends of the bearing. As eccentricity increases and Young's modulus of lining decreases, the aggregation phenomenon intensifies.
TRIBOLOGY TRANSACTIONS
(2021)
Article
Engineering, Mechanical
Chengwei Wen, Xianghui Meng, Bugao Lyu, Jiaming Gu, Lin Xiao
Summary: The study shows that angular misalignment has significant effects on the performance and fatigue life of high-speed micro ball bearings under different load conditions, with different impacts under pure axial load and combined axial and radial loads. An increase in the absolute value of angular misalignment leads to an increase in total power loss and a significant decrease in fatigue life. The direction of angular misalignment is a key factor determining the effects under combined axial and radial loads.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2021)
Article
Engineering, Multidisciplinary
Wentao Zhao, Chao Zhang, Jianguo Wang, Oscar Garcia Peyrano, Fengshou Gu, Shuai Wang, Da Lv
Summary: This paper proposes a remaining useful life prediction approach that addresses the issue of limited fault datasets for large mechanical equipment. By combining digital twin technology, transfer learning theory, and an embedded convolutional long short-term memory (CLSTM) network, the approach overcomes data shortage and improves prediction accuracy.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Peng Li, Zhanqun Shi, Hao Zhang, Xin Li, Sen Xiao, Fengshou Gu
Summary: This paper presents a hydrodynamic lubrication model to investigate the static and dynamic characteristics of micro-grooved bearings considering journal misalignment. It provides theoretical guidance for the design optimization of micro-grooved journal bearings with misalignment.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2023)
Article
Automation & Control Systems
Junchao Guo, Qingbo He, Dong Zhen, Fengshou Gu
Summary: This article proposes a novel fault detection scheme based on cyclic morphological modulation spectrum (CMMS) and hierarchical Teager permutation entropy (HTPE) for rotating machinery. The scheme uses CMMS to analyze the measured signal and obtain CMMS slices with different frequency bands, and utilizes HTPE for improved feature selection. Experimental results show that the proposed scheme effectively obtains fault features and achieves accurate fault classification and recognition.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Multidisciplinary
Shaoning Tian, Dong Zhen, Xiaoxia Liang, Guojin Feng, Lingli Cui, Fengshou Gu
Summary: In order to accurately extract fault information from rolling bearing vibration signals with strong nonlinear and non-stationary characteristics, a novel method called adaptive variational mode decomposition with noise suppression and fast spectral correlation (AVMDNS-FSC) is proposed. The AVMDNS algorithm adaptively selects VMD parameters, reducing errors caused by improper parameter selection. It also effectively suppresses noise in the intrinsic mode function (IMFs) to avoid removal of important fault information. Additionally, the FSC further suppresses noise and interference harmonics, enhancing the extraction of bearing fault features.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Bingyan Chen, Dongli Song, Fengshou Gu, Weihua Zhang, Yao Cheng, Andrew D. Ball, Adam Bevan, James Xi Gu
Summary: The classic Gini index has been generalized using nonlinear weight sequences to quantify sparsity and monitor machine condition. The generalized GIs with different weight parameters are more robust to random transients, but they struggle to distinguish repetitive transients under noise contamination. To address this issue, this paper proposes a two-parameter generalization method to tune both the weight parameter and the norm order, resulting in fully generalized GIs (FGGIs) that can quantify transient features. Mathematical derivations show that FGGIs satisfy multiple attributes of sparsity measures, proving that they are a new family of sparsity measures. Numerical simulations demonstrate that FGGIs can evaluate signal sparsity and exhibit improved performance in resisting random transients and discriminating noise-contaminated repetitive transients compared to traditional sparsity measures. The performance of FGGIs in the condition monitoring of rolling element bearings is validated using two different run-to-failure experiment datasets, showing that increasing the norm order improves the capability of FGGIs to characterize transient fault features and achieve better condition monitoring performance.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Yang Chen, Hao Zhang, Xin Li, Sen Xiao, Fengshou Gu, Zhanqun Shi
Summary: The present work investigates the effects of wear on lubrication performance and acquires efficient vibration signatures for fault diagnosis. A finite element model for worn hydrodynamic bearings is evaluated, revealing significant changes in static and dynamic characteristics due to wear, leading to a drop in system critical speeds. This research provides a theoretical foundation and engineering guidance for wear fault diagnosis in hydrodynamic bearings.
Article
Engineering, Multidisciplinary
Dong Liu, Nannan Sun, Guixiang Zhu, Hengchao Cao, Tie Wang, Guoxin Li, Fengshou Gu
Summary: This study investigates the correspondence between cylinder liner vibration and coolant pressure through vibration cavitation tests, pressure gradient calculations, and visualization observations. The cavitation risk under piston slap is quantitatively analyzed based on a nonlinear structural dynamics model, showing a high risk when the cylinder liner acceleration exceeds 1189 m/s2. The variation in cavitation risk for each cylinder is related to the structural modal characteristics of the crankcase, and the effects of piston-liner clearance and piston pin offset on cavitation risk are also explored.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
(2023)
Article
Engineering, Multidisciplinary
Guoji Shen, Fengshou Gu, Yongmin Yang, Haifeng Hu, Fengjiao Guan
Summary: This paper investigates the harmonic vibration characteristics of blade cracks and proposes a crack detection method based on the power ratio of harmonic components. The method can process blade vibration data without the blades being in a resonant state, improving data utilization and diagnostic robustness.
Article
Engineering, Multidisciplinary
Zuolu Wang, Haiyang Li, Guojin Feng, Dong Zhen, Fengshou Gu, Andrew David Ball
Summary: This paper proposes an improved cyclostationary method to enhance incipient fault features in rotating machinery. The method accurately locates important frequency bands using continuous wavelet transform and utilizes an improved Teager-Kaiser energy operator to enhance weak fault features. The fault features are then presented in the cyclic frequency domain through spectral coherence and enhanced envelope spectrum.
Article
Engineering, Mechanical
Lantao Yang, Liming Wang, Yimin Shao, Fengshou Gu, Andrew Ball, David Mba
Summary: A double-layer iterative analytical model is proposed to reveal the coupling relationship between time-varying mesh stiffness (TVMS) and load distribution along the tooth width direction (TWD) of gears with early-stage crack (ESC). The model considers the effects of non-uniformly distributed load (NDL) caused by the ESC. Finite element models are used to verify the accuracy and efficiency of the proposed model. The results show that the proposed model can accurately and rapidly calculate the TVMS and load distributions of gears with ESC.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Physics, Multidisciplinary
Peng Li, Jiayu Li, Zhanqun Shi, Hao Zhang, Sen Xiao, Xin Li, Fengshou Gu
Summary: This study investigates the effects of manufacturing error and micro-groove on the static, dynamic, and stability characteristics of water-lubricated journal bearings. Mathematical models and simulations are used to evaluate the impact of these factors on the film thickness distribution, fluid pressure distribution, bearing capacity, and other parameters. The results show that manufacturing errors and micro-groove significantly affect the fluid film thickness and pressure distribution. The magnitude and type of errors can either improve or degrade the bearing performance, and micro-groove enhances the hydrodynamic effect in the bearing clearance.
Article
Engineering, Industrial
Sheng Li, J. C. Ji, Yadong Xu, Xiuquan Sun, Ke Feng, Beibei Sun, Yulin Wang, Fengshou Gu, Ke Zhang, Qing Ni
Summary: This study proposes a novel multibranch CNN called IFD-MDCN for learning discriminative fault-related features from vibration signals. The method designs a multiscale denoising branch to reduce noise impact and establishes an improved flow direction strategy-based adaptive resonance branch to learn periodic impulsive features associated with fault information. Experimental results demonstrate that IFD-MDCN outperforms five state-of-the-art approaches, especially in strong noise scenarios.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Proceedings Paper
Engineering, Manufacturing
Bingyan Chen, Fengshou Gu, Weihua Zhang, Mengying Tan, Yaping Luo, Zuolu Wang, Zewen Zhou
Summary: This article proposes two new blind deconvolution methods for diagnosing faults in railway axle bearings. These methods can adaptively extract repetitive transient features from noisy vibration signals and effectively diagnose different faults of railway axle bearings.
PROCEEDINGS OF TEPEN 2022
(2023)
Article
Computer Science, Artificial Intelligence
Junchao Guo, Qingbo He, Dong Zhen, Fengshou Gu, Andrew D. Ball
Summary: In this paper, a novel feature fusion framework based on multiscale cyclic frequency demodulation (MCFD) is proposed for intelligent fault diagnosis of multi-sensor driven gearboxes. The framework effectively utilizes the mode information from multiple sensors and the original signal to accurately detect gearbox faults.
KNOWLEDGE-BASED SYSTEMS
(2024)
Article
Chemistry, Multidisciplinary
Chun Li, Zhexiang Zou, Wenbo Duan, Jiajie Liu, Fengshou Gu, Andrew David Ball
Summary: This study has made a breakthrough in the engineering of turning processes by providing key insights for real-time machining system monitoring. The findings can significantly improve surface quality and stability, particularly for slender, flexible shafts.
APPLIED SCIENCES-BASEL
(2023)
