Article
Engineering, Mechanical
Fabricio Vieira Silva, Mauricio Araujo Zanardi, Teofilo Miguel de Souza
Summary: This study investigated the dynamics of different non-Newtonian fluids in short journal bearings using computational fluid dynamics, finding that Herschel-Bulkley and Bingham non-Newtonian fluids showed advantages in various performance parameters compared to Newtonian fluid.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Article
Engineering, Mechanical
Jacopo Tacconi, Shahrokh Shahpar, Andrew King, Johannes Paulus Olufeagba, Raymarn Khan, Ian Sant, Martin Yates
Summary: Gear pumps are widely used in aero-engine fuel systems, and the design and analysis of hybrid journal bearings used in these pumps pose challenges. A numerical model has been developed to evaluate and design the pressure distribution of hybrid journal bearings for fuel pump applications. The tool has been validated and shows good accuracy and robustness.
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Mechanical
S. Boedo
Summary: This study investigates the impact of surface ellipticity on self-acting partial arc journal bearings under steady load and sinusoidal oscillation, taking into account mass conserving cavitation. The computational efficiency is improved by using a generalized Warner bearing (GWB) formula. The results demonstrate that an elliptical sleeve can significantly improve bearing performance at small oscillation amplitudes commonly found in practical applications, and a fully hydrodynamic lubrication regime can be established through the wearing-in process of the sleeve surface.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Engineering, Mechanical
Alexey V. Kornaev, Elena P. Kornaeva, Leonid A. Savin, Yuri N. Kazakov, Alexander Fetisov, Alexey Yu. Rodichev, Sergey V. Mayorov
Summary: This paper presents a theoretical and experimental study on the viscosity wedge effect in a thin incompressible fluid film, aiming to reduce shaft vibrations and friction coefficient through optimization of viscosity distribution. Experimental results align with simulation results, demonstrating the potential positive impact of the viscosity wedge on reducing vibrations and friction in fluid film bearings.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Engineering, Electrical & Electronic
Guglielmo Giannetti, Enrico Meli, Andrea Rindi
Summary: Tilting pad journal bearings (TPJBs) are important components in modern rotating machines. This study proposes an innovative modeling approach based on efficient flexible multibody techniques to describe the behavior of TPJBs. The model is tested on a real TPJB geometry and validated through experimental tests, showing encouraging results. The proposed model can be applied in various engineering fields such as Oil & Gas and aeronautics.
Article
Engineering, Mechanical
Guanying Xing, Song Xue, Jiacheng Han, Huaiyu Zuo, Run Hu, Zhengkai Tu, Xiaobing Luo
Summary: This paper studies the flow behavior of magnetorheological fluid in the clearance and its influence on the flow object, and proposes a flow dynamics and strain distribution model to predict the pressure distribution and lubrication characteristics.
TRIBOLOGY INTERNATIONAL
(2023)
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
Bin Wei, Yinghou Jiao, Xianglin Wu
Summary: The aim of this study is to present a technical numerical method to improve the efficiency of solving the Reynolds equation for hydrodynamic bearings. The developed method effectively combines the Bi-CGSTAB algorithm with the Reynolds boundary conditions to characterize the pressure distribution within the lubricant for hydrodynamic bearings.
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Mechanical
Guojun (Gary) Ren
Summary: This paper uses equation-based finite element analysis to provide a new method for calculating the performance of journal bearings with deformable surfaces, which is crucial for water lubricated bearings made of polymers. The study introduces a new sub lubrication regime and distinguishes between Hypo-Elastohydrodynamic and Elastohydrodynamic Lubrication, and introduces several new concepts to describe bearing performance.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Engineering, Mechanical
T. Schirra, G. Martin, S. Puchtler, E. Kirchner
Summary: This paper presents an experimental setup and calculation procedure for measuring and predicting the electric impedance of rolling bearings as a sensor model for bearing loads. By considering unloaded rolling elements and the undeflected area of loaded rolling elements, the model has been improved to provide more accurate predictions compared to the state of the art. However, there is still a difference between measurement and calculation, which requires further approaches to reduce the discrepancy.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Engineering, Mechanical
Yuankang Shen, Yao Zhang, Xiuli Zhang, Hongyu Zheng, Guorui Wei, Mingyang Wang
Summary: This paper proposes a fluid-structure interaction (FSI) numerical calculation method to investigate the elastohydrodynamic lubrication performance of rubber-plastic double-layer water-lubricated journal bearings. The accuracy and rapidity of the FSI method are improved by studying the effect of mesh density and comparing the results with literature. Numerical simulations are conducted to reveal the influence of operating conditions and structural parameters on the lubrication performance of the bearings. The results provide design references for the bearings.
Article
Engineering, Mechanical
Yujun Wang, Georg Jacobs, Florian Koenig, Shuo Zhang, Stephan von Goeldel
Summary: This study analyzes the local lubrication mechanisms of textures in journal bearings from a microflow perspective and considers the interactions between textures and the film formation in the whole bearing. The results show that placing textures downstream of the high-pressure region can reduce friction force and minimize the loss of load-carrying capacity. The effects of textures on load-carrying capacity include both positive micro-hydrodynamic pressure and negative effects caused by the discontinuity of the high-pressure region. This research provides a fundamental reference and theoretical basis for the design and optimization of textured journal bearings.
Article
Chemistry, Multidisciplinary
Carlos Alberto Alves Viana, Diogo Stuani Alves, Tiago Henrique Machado
Summary: This paper discusses the applicability of linear/nonlinear methods for representing the dynamics of hydrodynamic bearings in rotor dynamics. Numerical simulations were performed using a computational model, and the responses of linear and nonlinear models were compared. The results showed that trilobed bearings are more susceptible to nonlinear effects, which is important for fault diagnosis in the field of structural health monitoring.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Mechanical
Xun Huang, Ge Xu, Shuyun Jiang
Summary: This study proposes novel water-lubricated hydrodynamic spiral groove bearings for motorized spindles, and establishes a rotor-bearing static model for experimental research. The results show that these bearings have advantages in terms of low-temperature rise, good high-speed performance, and moderate spindle stiffness, and can be a potential alternative to fluid bearings for high-speed motorized spindles.
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
(2023)
Article
Engineering, Mechanical
Nathan Hess, Lizhi Shang
Summary: This study introduces a machine learning neural network model that can approximate pressure distribution at steady state. Through data generation and hyperparameter optimization, the neural network shows good prediction capability, accurately estimating journal bearing loads, demonstrating the feasibility of applying machine learning to fluid power pump and motor simulation models.
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
(2022)