Article
Engineering, Mechanical
Bjorn Michelberger, Dirk Jaitner, Andreas Hagel, Patrick Striemann, Benjamin Kroeger, Andreas Leson, Andres Fabian Lasagni
Summary: An innovative method using a new reciprocating long-stroke tribometer at component level and a new elastohydrodynamic simulation model enable investigation of a greater range of operating conditions in combustion engines. Results show a quantifiable distinction between investigated tribological systems and a high correlation between measured friction results and simulation, allowing for further parameter studies of reciprocating contacts.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Engineering, Mechanical
G. H. G. van der Meer, F. Quinci, W. Litwin, M. Wodtke, R. A. J. van Ostayen
Summary: The study investigates the application of a modified MR fluid in lubrication performance using a journal bearing test bench. It is found that applying a local magnetic field can significantly reduce the transition speed of the bearing when lubricated with MR fluid, with only a minimal increase in friction. The lubricating performance of the MR fluid is compared to a reference oil.
TRIBOLOGY INTERNATIONAL
(2023)
Review
Engineering, Multidisciplinary
Nour A. Marey, Amman A. Ali
Summary: A multi-purpose Universal Journal Bearing Test Rig (UJBTR) was designed and constructed, and a fully controlled system for UJBTR was introduced. The system enables the acquisition of tribological values and the verification of obtained outcomes. It can conduct different test trials to investigate the operational factors affecting lubricating oil film performance. The results assure the reliability and ability of UJBTR for further investigations in hydrodynamic lubrication within journal bearing.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Sushanta Kumar Pradhan, Prabhudatta Mishra, Prakash Chandra Mishra
Summary: In this study, the performance of rough elliptic bore journal bearings is predicted using an artificial neural network technique. Non-circularity and roughness effects are quantified in macro and micro scale, respectively. The ANN model is trained and built using numerically estimated performance parameters at different eccentricities, non-circularities, and roughness factors. The predicted results are found to be satisfactory with a confidence level of 99.75% or an R-value of 0.99757.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Engineering, Mechanical
Chuanbing Zhang, Wenwei Sun, Yongjun Cheng, Bi Wang, Zixi Wang, Yuming Wang
Summary: A metal rubber-bump foil gas journal bearing with three structure pads (MR-BFGJBTSPs) is proposed to improve the low load-carrying capacity and poor operational stability of a foil-type gas journal bearing. An equivalent stiffness model for the metal rubber damping element is developed considering the different contact states. The predicted structure stiffness Kc of MR-BFGJBTSPs shows the best comparison to limited test data, and the load-carrying capacity increases with the increase in friction coefficients μtb and μbh.
TRIBOLOGY INTERNATIONAL
(2023)
Review
Engineering, Mechanical
Sitae Kim, Dongil Shin, Alan B. Palazzolo
Summary: This review summarizes the effects of nonlinear elements in fluid film journal bearings on rotor-bearing systems, including sub- and super-synchronous, chaos and thermally induced instability responses. It also discusses the importance of nonlinear, thermo-elasto-hydrodynamic aspects of journal bearings in high-performance turbomachines, and presents nonlinear solution methodologies and numerical tools for analyzing nonlinear vibration responses induced by bearings.
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
(2021)
Article
Engineering, Mechanical
Nilesh D. Hingawe, Skylab P. Bhore
Summary: This paper investigates the influence of texture geometrical parameters on the tribological performance of meso scale air journal bearing. Through numerical simulations and optimization, it is found that textured air bearings have higher load carrying capacity and lower friction coefficient compared to plain air bearings.
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES
(2021)
Article
Engineering, Mechanical
Mitjan Kalin, Maja Kus
Summary: This study presents a mechanism for elastohydrodynamic (EHD) friction reduction in steel/steel contacts through the formation of oleophobic surface boundary layers from common boundary-lubrication additives. The research found that stronger chemisorption at 100 degrees C, rather than physisorption at 25 degrees C, is more effective in reducing friction up to 22%. The study also revealed that a small variation in the additive's molecular structure can significantly impact friction, showing good potential for future EHD lubrication technology.
Review
Engineering, Mechanical
Suman K. Mandal, Biplab Bhattacharjee, Nabarun Biswas, Kishan Choudhuri, Prasun Chakraborti
Summary: Journal or sliding bearings are widely used in engineering applications for their simple design and complex operation theory. The associated research and development have made reasonable progress in this area.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
(2022)
Article
Chemistry, Physical
Mang Gao, Yahui Li, Junho Choi
Summary: With the proliferation of IoT technology, the need for smart fault detection and condition monitoring in mechanical systems is urgent. Triboelectric nanogenerators (TENG) provide a novel approach to achieve self-powered sensing and are ideal for monitoring the condition of bearings. In this study, a triboelectric pad journal bearing (T-PJB) was designed and fabricated to directly monitor the bearing condition, with optimized geometry and electrical performance.
Article
Engineering, Mechanical
Changlin Li, Jianjun Du, Jie Li, Zhenni Xu
Summary: This paper models and studies the frictional energy dissipation mechanism of multi-leaf journal foil bearing (MLJFB) and obtains predictions that correlate well with experimental results. It provides a theoretical foundation for the static and dynamic research of MLJFB.
Article
Engineering, Mechanical
Dragan Milcic, Amir Alsammarraie, Milos Madic, Vladislav Krstic, Miodrag Milcic
Summary: This study experimentally investigated the friction behavior of a tin-babbitt alloy journal bearing under hydrodynamic lubrication conditions using artificial neural network models. The well-trained neural network models can accurately predict the friction coefficient dependence on radial load and speed.
STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING
(2021)
Article
Engineering, Mechanical
Edoardo Gheller, Steven Chatterton, Daniele Panara, Gabriele Turini, Paolo Pennacchi
Summary: This paper applies artificial intelligence (AI) to predict the behavior of tilting pad journal bearings (TPJBs) using a trained deep learning (DL) model, which can quickly and accurately predict the dynamic and static characteristics of TPJBs compared to traditional models.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Materials Science, Multidisciplinary
Perumalla Sateesh Kumar, Muniyappa Amarnath, Sonnappa Devaraj, B. S. Ajay Vardhaman, J. Ramkumar
Summary: The microwave hybrid heat (MHH) treatment process was used to improve the mechanical and tribological properties of bronze alloy specimens. The MHH-treated specimens showed refined grain size, reduced porosity, and the formation of intermetallic compounds, leading to significantly improved hardness. The MHH-treated bearing exhibited reduced friction and wear coefficient values compared to the untreated bearing under fatigue testing.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Engineering, Mechanical
Ning Ding, Hulin Li, Ning Zhong, Qi Xin, Dan Jiang
Summary: This study experimentally explored the influence of working conditions on the friction properties, wear behaviors, and seizure limit of journal bearing friction pairs including aluminum bronze shafts and steel bearings. The results showed that the seizure limit value could be improved with the increase of relative clearance, and the wear mechanism shifted accordingly.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2022)
Article
Thermodynamics
H. Allmaier, C. Knauder, S. Salhofer, F. M. Reich, E. Schalk, H. Ofner, A. Wagner
INTERNATIONAL JOURNAL OF ENGINE RESEARCH
(2016)
Article
Engineering, Mechanical
H. Allmaier, D. E. Sander, H. H. Priebsch, M. Witt, T. Fuellenbach, A. Skiadas
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2016)
Article
Engineering, Mechanical
David E. Sander, H. Allmaier, H. H. Priebsch, P. M. Reich, M. Witt, A. Skiadas, O. Knaus
TRIBOLOGY INTERNATIONAL
(2015)
Article
Engineering, Mechanical
D. E. Sander, H. Allmaier, H. H. Priebsch, M. Witt, A. Skiadas
TRIBOLOGY INTERNATIONAL
(2016)
Article
Engineering, Mechanical
Christoph Knauder, Hannes Allmaier, Stefan Salhofer, Theodor Sams
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2018)
Article
Engineering, Mechanical
David E. Sander, Hannes Allmaier
TRIBOLOGY INTERNATIONAL
(2018)
Article
Engineering, Mechanical
Christoph Knauder, Hannes Allmaier, David E. Sander, Theodor Sams
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2020)
Article
Engineering, Mechanical
Hannes Allmaier
Summary: This literature review examines grease lubrication in rolling bearings and discusses potential ways to improve the service life of greases, with a focus on their application in rail wheel bearings. Understanding the fundamental lubrication processes is crucial for increasing the service life of rail wheel bearings.
Article
Engineering, Mechanical
Christoph Knauder, Hannes Allmaier, David E. Sander, Theodor Sams
Article
Engineering, Mechanical
Christoph Knauder, Hannes Allmaier, David E. Sander, Theodor Sams
Article
Engineering, Mechanical
Christoph Knauder, Hannes Allmaier, David E. Sander, Theodor Sams
Article
Engineering, Mechanical
David E. Sander, Christoph Knauder, Hannes Allmaier, Slavitsa Damjanovic-Le Baleur, Philippe Mallet
Proceedings Paper
Engineering, Biomedical
H. Allmaier, D. E. Sander, M. Witt, A. Skiadas
M2D2015: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MECHANICS AND MATERIALS IN DESIGN
(2015)
Article
Engineering, Mechanical
Christoph Knauder, Hannes Allmaier, David Emanuel Sander, Stefan Salhofer, Franz Markus Reich, Theodor Sams
Article
Engineering, Mechanical
Hannes Allmaier, David E. Sander
Article
Engineering, Mechanical
Busra Duran, Jerome Cavoret, David Philippon, Fabrice Ville, Arnaud Ruellan, Frank Berens
Summary: This study analyzes the changes in the physicochemical properties and tribological performances of gear transmission oils during field operation, finding differences from traditional engine oils.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Baocheng Liu, Hongsheng Chen, Jun Zhou, Jing Wang, Wenxian Wang, Xiaochun Chen, Sanxiao Xi
Summary: This study used fast hot pressing sintering to fabricate WC/AlCoCrFeNi2.1 metal matrix composites (MMCs). It was found that the addition of reinforced particles increased the microhardness, nanoindentation and wear resistance of the MMCs. During frictional processes, an oxide film formed, providing material protection, enhancing stability and reducing friction-induced losses.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Pradip Kumar Verma, Alok Singh
Summary: This study investigates the mechanical properties and wear resistance of CoMoMnNiV high entropy alloy reinforced aluminium matrix composite processed through stir-squeeze casting assisted with an ultrasonic transducer. The results show significant improvements in mechanical properties and wear resistance, with the composite containing 8 wt% HEA demonstrating the highest resistance to wear. Optical microscopy, SEM, and an optical profilometer were used for a thorough examination of the microstructure and worn surface.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Zhenghai Yang, Yingjian Song, Jinlong Jiao, Wenbo Li, Bao Shangguan, Yongzhen Zhang
Summary: This study investigated the friction, wear properties, and current-carrying properties of copper-graphite composites paired with brass C28000. The results showed that the current-carrying properties of the composite materials were excellent, but their wear rate was the main limiting factor. Furthermore, an increase in the thickness of the graphite layer led to an improvement in the uniformity of damage.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Moustafa Mahmoud Yousry Zaghloul, Karen Steel, Martin Veidt, Michael T. Heitzmann
Summary: This research evaluates and compares the impact of different material types on the tribological characteristics of Polyamide 6 composites, and finds that glass fiber-reinforced Polyamide 6 exhibits better friction and wear performance under high-pressure velocity factors.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Shaoqing Qin, Lida Zhu
Summary: In this paper, the surface and subsurface damage of laser assisted grinding CrCoNi medium entropy alloys were investigated using molecular dynamics simulations. The results showed that the application of laser energy can reduce cutting forces and minimize subsurface damage.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Kaikui Zheng, Youxi Lin, Tingzheng Lai, Chenghui Gao, Ming Liu, Zhiying Ren
Summary: The study investigated the use of waste foundry resin-bonded sand as a substitute for copper in resin-based brake material. It found that the waste sand was more favorable for improving the overall friction and wear properties of the material compared to copper. Waste sand benefited the material by forming a friction layer, leading to increased friction coefficient and stability. Brake material with 10-15% waste sand showed excellent heat-fade resistance.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Dayang Li, Fanhao Zhou, Yutong Gao, Kun Yang, Huimin Gao
Summary: This article introduces a continuous prediction model based on deep learning for predicting the power output of steam turbines. The model uses long short term memory (LSTM) method to develop a trend prediction model and optimizes the prediction model through feature selection method. Experimental results show that the model outperforms other models in terms of prediction performance.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Tomohiro Toyoda, Ryo Yasuike, Toshihiro Noda
Summary: In this study, a elasto-plastic constitutive model of friction incorporating the concept of superloading surface was developed based on the subloading friction model. The proposed model achieves a smooth transition of friction by describing the evolution rule of structure, treating the state with static friction coefficient larger than kinetic friction coefficient as the bulkiness of structure. The positive definiteness of the plastic multiplier, loading condition, and material parameters were derived, and the validity of the proposed model in accordance with the subloading-friction model was confirmed through a stick-slip simulation of a mass-spring system.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
P. Balaji, B. Surya Rajan, K. Sathickbasha, P. Baskara Sethupathi, Deviga Magadevan
Summary: This study emphasizes the importance of using a variety of solid lubricants with different oxidation temperature regimes to enhance the tribological performance of brake pads.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Jian Ma, Yancong Liu, Javad Mostaghimi, Na Zhang
Summary: This paper investigates the influence of preparation strategies on the lubrication properties of surface textures. Three laser scanning strategies are proposed to achieve a sinusoidal textured surface, and the evolution of surface structure and chemical composition is discussed. The findings show that ridge structures enhance anti-wear properties but also increase the friction coefficient. However, the oil cover preparation method prevents the formation of ridges and improves wettability.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Mohammad Roostaei, Arvin Taghizadeh Tabrizi, Hossein Aghajani
Summary: In this research, the Al2O3/MoS2 nanocomposite coating layer was successfully applied on the surface of Ti-6Al-4 V alloy. The relation between the surface characteristics and wear resistance of the coating was studied using atomic force microscopy analysis and pin-on-disk wear test method. The results showed that the nanocomposite coating significantly reduced the wear rate and provided an equation to calculate the Lancaster coefficient.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Musa Bilgin, Sener Karabulut, Halil Karakoc, Yunus Kayir, Murat Sarikaya
Summary: This study investigates various methods to improve the machinability efficiency of Inconel 718 alloy while considering their effect on microstructural properties. The results show that hot+PMQL, hot+SiCNMQL, and hot+Al2O3-NMQL contribute significantly to the improvement of machinability characteristics. The EBSD analysis also reveals that a limited area is affected by heat in the hot machining environment and that the removal of the heated layer during milling process helps preserve the microstructure.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Q. Gao, Y. Fan, Y. G. Wu, J. L. Liu, J. Wang, L. Li
Summary: Fretting wear significantly affects the hysteresis behavior of the contact surface and leads to joint degradation. This study investigates the influence of harmonic normal force on the evolution of interface morphology and contact parameters with fretting wear. The results show that the harmonic normal force can significantly influence the hysteresis loop and the energy dissipation distribution on the contact surface.
TRIBOLOGY INTERNATIONAL
(2024)
Article
Engineering, Mechanical
Benjamin Weiland, Floriane Leclinche, Anis Kaci, Brigitte Camillieri, Betty Lemaire-Semail, Marie -Ange Bueno
Summary: This study presents a systematic approach to generating control signals for a tactile simulator that simulate the touch of textile fabrics. By using a friction modulation tactile surface and acquiring forces from real surfaces with artificial finger mimicking fingerprints, control signals are generated and processed in the frequency domain before sending them to the tactile stimulator. The study focuses on the potential benefits of incorporating fingerprint information in fabric simulations to achieve a more realistic tactile perception. A sensory analysis with 36 participants using the generated control signals showed better discrimination without fingerprint information.
TRIBOLOGY INTERNATIONAL
(2024)