Open Access
Issue |
Mechanics & Industry
Volume 22, 2021
|
|
---|---|---|
Article Number | 1 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/meca/2020099 | |
Published online | 08 March 2021 |
- D. Gropper, L. Wang, T.J. Harvey, Hydrodynamic lubrication of textured surfaces: a review of modeling techniques and key findings, Tribology International 94 , 509–529 (2016) [Google Scholar]
- X.H. Shen, Y.L. Shi, J.H. Zhang, Q.J. Zhang, G.C. Tao, L.J. Bai, Effect of process parameters on micro-textured surface generation in feed direction vibration assisted milling, International Journal of Mechanical Sciences 167 , 105267 (2020) [Google Scholar]
- K. Kanda, S. Tazawa, T. Urano, S. Kobayashi, K. Adachi, The possibility of both low friction and low leakage by surface texture of mechanical seals in blood, Tribology Letters 68 , 1–11 (2020) [Google Scholar]
- S. Ding, S. Bai, Thermoelastohydrodynamic behaviour of inclined-ellipse dimpled gas face seals, Science China Technological Sciences 60 , 529–537 (2016) [Google Scholar]
- S. Ye, H. Tang, Y. Ren, J. Xiang, Study on the load-carrying capacity of surface textured slipper bearing of axial piston pump, Applied Mathematical Modelling 77 , 554–584 (2020) [Google Scholar]
- D.G. Fouflias, A.G. Charitopoulos, C.I. Papadopoulos, L. Kaiktsis, Thermohydrodynamic analysis and tribological optimization of a curved pocket thrust bearing, Tribology International 110 , 291–306 (2017) [Google Scholar]
- C. Shen, M.M. Khonsari, Tribological and Sealing Performance of Laser Pocketed Piston Rings in a Diesel Engine, Tribology Letters 64 , 1–9 (2016) [Google Scholar]
- D. Nečas, H. Usami, T. Niimi, Y. Sawae, I. Křupka, M. Hartl, Running-in friction of hip joint replacements can be significantly reduced: the effect of surface-textured acetabular cup, Friction 8 , 1137–1152 (2020) [Google Scholar]
- H. Kasem, H. Shriki, L. Ganon, M. Mizrahi, K. Abd-Rbo, A.J. Domb, Rubber plunger surface texturing for friction reduction in medical syringes, Friction 7 , 351–358 (2018) [Google Scholar]
- A.B. Shinde, P.M. Pawar, Multi-objective optimization of surface textured journal bearing by Taguchi based Grey relational analysis, Tribology International 114 , 349–357 (2017) [Google Scholar]
- S. Kango, R.K. Sharma, R.K. Pandey, Comparative analysis of textured and grooved hydrodynamic journal bearing, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 228 , 82–95 (2013) [Google Scholar]
- B. Manser, I. Belaidi, A. Hamrani, S. Khelladi, F. Bakir, Performance of hydrodynamic journal bearing under the combined influence of textured surface and journal misalignment: a numerical survey, Comptes Rendus Mécanique 347 , 141–165 (2019) [Google Scholar]
- R. Yu, W. Chen, P. Li, The analysis of elastohydrodynamic lubrication in the textured journal bearing, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 230 , 1197–1208 (2016) [Google Scholar]
- Q. Lin, Q. Bao, K. Li, M.M. Khonsari, H. Zhao, An investigation into the transient behavior of journal bearing with surface texture based on fluid-structure interaction approach, Tribology International 118 , 246–255 (2018) [Google Scholar]
- N. Tala-Ighil, M. Fillon, P. Maspeyrot, Effect of textured area on the performances of a hydrodynamic journal bearing, Tribology International 44 , 211–219 (2011) [Google Scholar]
- N. Tala-Ighil, M. Fillon, A numerical investigation of both thermal and texturing surface effects on the journal bearings static characteristics, Tribology International 90 , 228–239 (2015) [Google Scholar]
- A.B. Shinde, P.M. Pawar, Effect of partial grooving on the performance of hydrodynamic journal bearing, Industrial Lubrication and Tribology 69 , 574–584 (2017) [Google Scholar]
- X. Pang, J. Chen, S.H. Hussain, Numeric and experimental study of generalized geometrical design of a hydrodynamic journal bearing based on the general film thickness equation, Journal of Mechanical Science and Technology 26 , 3149–3158 (2012) [Google Scholar]
- H. Zhang, M. Hafezi, G. Dong, Y. Liu, A design of coverage area for textured surface of sliding journal bearing based on genetic algorithm, Journal of Tribology 140 , 061702 (2018) [Google Scholar]
- H. Zhang, Y. Liu, M. Hua, D.-y. Zhang, L.-g. Qin, G.-n. Dong, An optimization research on the coverage of micro-textures arranged on bearing sliders, Tribology International 128 , 231–239 (2018) [Google Scholar]
- C. Sinanoğlu, F. Nair, M.B. Karamış, Effects of shaft surface texture on journal bearing pressure distribution, Journal of Materials Processing Technology 168 , 344–353 (2005) [Google Scholar]
- J. Kennedy, R. Eberhart, Particle swarm optimization, Proceedings of IEEE International Conference on Neural Networks 4 , 1942–1948 (1995) [CrossRef] [Google Scholar]
- R. Eberhart, J. Kennedy, A New Optimizer Using Particle Swarm Theory, Proceedings of the Sixth International Symposium on Micro Machine and Human Science (1995) [Google Scholar]
- N. Wang, H.-C. Huang, C.-R. Hsu, Parallel optimum design of foil bearing using particle swarm optimization method, Tribology Transactions 56 , 453–460 (2013) [Google Scholar]
- S. Panda, S.N. Panda, P. Nanda, D. Mishra, Comparative study on optimum design of rolling element bearing, Tribology International 92 , 595–604 (2015) [Google Scholar]
- R. Li, P.F. Du, S.M. Zhou, T.X. Zheng, Parameter optimization experiment of magnetorheological bearing, Applied Mechanics and Materials 457–458 , 597–601 (2013) [Google Scholar]
- O. Pinkus, B. Sternlicht, Theory of hydrodynamic lubrication, McGraw-Hill, New York (1961) [Google Scholar]
- Y. Shi, R. Eberhart, A Modified Particle Swarm Optimizer, 1998 IEEE International Conference on Evolutionary Computation Proceedings, IEEE World Congress on Computational Intelligence (1998) [Google Scholar]
- Y. Shi, Particle Swarm Optimization, IEEE Connections 8–13 (2004) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.