Open Access
Issue
E3S Web Conf.
Volume 313, 2021
19th International Stirling Engine Conference (ISEC 2021)
Article Number 02001
Number of page(s) 14
Section Dynamics and Kinematics
DOI https://doi.org/10.1051/e3sconf/202131302001
Published online 22 October 2021
  1. Taylor, C.M., Automobile engine tribology—design considerations for efficiency and durability. Wear 1998, 221, 1. [Google Scholar]
  2. Tung, S.C.; McMillan, M.L., Automotive tribology overview of current advances and challenges for the future. Tribol Int 2004, 37, 517. [CrossRef] [Google Scholar]
  3. Wang, D.; Keith, T.G.; Yang, Q.M.; Vaidyanathan, K., Lubrication analysis of a connecting-rod bearing in a high-speed engine. Part i: Rod and bearing deformation. Tribol T 2004, 47, 280-289. [Google Scholar]
  4. Wang, D.; Keith, T.G.; Yang, Q.M.; Vaidyanathan, K., Lubrication analysis of a connecting-rod bearing in a high-speed engine. Part ii: Lubrication performance evaluation for non-circular bearings. Tribol T 2004, 47, 290-298. [Google Scholar]
  5. Jr., R.R.C.; Bampton, M.C.C., Coupling of substructures for dynamic analyses. AIAA Journal 1968, 6, 1313-1319. [CrossRef] [Google Scholar]
  6. Brüls, O.; Duysinx, P.; Golinval, J.-C., The global modal parameterization for non-linear modelorder reduction in flexible multibody dynamics. Int J Numer Meth Eng 2007, 69, 948-977. [CrossRef] [Google Scholar]
  7. Wu, L.; Tiso, P., Nonlinear model order reduction for flexible multibody dynamics: A modal derivatives approach. Multibody Syst Dyn 2016, 36, 405-425. [CrossRef] [Google Scholar]
  8. Patir, N.; Cheng, H.S., Application of average flow model to lubrication between rough sliding surfaces. J Lubric Tech-T Asme 197{Craig, 1968 #4933;Wu, 2016 #3244}9, 101, 220. [Google Scholar]
  9. Greenwood, J.A.; Tripp, J.H., The contact of two nominally flat rough surfaces. P I Mech Eng 1970, 185, 625. [Google Scholar]
  10. Bukovnik, S.; Dorr, N.; Caika, V.; Bartz, W.J.; Loibnegger, B., Analysis of diverse simulation models for combustion engine journal bearings and the influence of oil condition. Tribol Int 2006, 39, 820-826. [CrossRef] [Google Scholar]
  11. Wei, L.D.; Wei, H.J.; Duan, S.L.; Zhang, Y., An ehd-mixed lubrication analysis of main bearings for diesel engine based on coupling between flexible whole engine block and crankshaft. Ind Lubr Tribol 2015, 67, 150-158. [CrossRef] [Google Scholar]
  12. Zhang, Q.-H.; Zheng, X.; Zhang, H.-Y.; Mao, J.; Song, P.; Hao, Z.-Y., An improved tehl model for main bearings of ic engine with flexible crankshaft and block tehl. Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch’eng Hsuebo Pao 2018, 39, 365-374. [Google Scholar]
  13. Mihara, Y.; Someya, T., Measurement of oil-film pressure in engine bearings using a thin-film sensor. Tribol T 2002, 45, 11-20. [CrossRef] [Google Scholar]
  14. Moreau, H.; Maspeyrot, P.; Bonneau, D.; Frene, J., Comparison between experimental film thickness measurements and elastohydrodynamic analysis in a connecting-rod bearing. P I Mech Eng J-J Eng 2002, 216, 195-208. [Google Scholar]
  15. Leclere, Q.; Pezerat, C.; Laulagnet, B.; Polac, L., Indirect measurement of main bearing loads in an operating diesel engine. J Sound Vib 2005, 286, 341-361. [CrossRef] [Google Scholar]
  16. Sun, J.; Zhu, X.L.; Zhang, L.; Wang, X.Y.; Chai, X.H.; Yin, W.; Shi, W., Experimental research on a three-dimensional journal orbit of a crankshaft bearing for an internal combustion engine. J Tribol-T Asme 2014, 136. [Google Scholar]
  17. Allmaier, H.; Priestner, C.; Reich, F.M.; Priebsch, H.H.; Forstner, C.; Novotny-Farkas, F., Predicting friction reliably and accurately in journal bearings – the importance of extensive oilmodels. Tribol Int 2012, 48, 93. [CrossRef] [Google Scholar]
  18. Priestner, C.; Allmaier, H.; Priebsch, H.H.; Forstner, C., Refined simulation of friction power loss in crank shaft slider bearings considering wear in the mixed lubrication regime. Tribol Int 2012, 46, 200-207. [CrossRef] [Google Scholar]
  19. Ding, N.; Li, H.; Yin, Z.; Zhong, N.; Zhang, L., Journal bearing seizure degradation assessment and remaining useful life prediction based on long short-term memory neural network. Measurement 2020, 166, 108215. [CrossRef] [Google Scholar]
  20. Dong, Q.; Yin, Z.; Li, H.; Gao, G.; Zhong, N.; Chen, Y., Simulation and experimental verification of fatigue strength evaluation of journal bearing bush. Eng Fail Anal 2020, 109, 104275. [CrossRef] [Google Scholar]
  21. Stachowiak, G.W.; Batchelor, A.W., Engineering tribology. 4 ed.; Butterworth-Heinemann: 2014. [Google Scholar]

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