Optimization of Engine Bearing Geometry for Reduced Friction and Wear

References

[1] Andersson, P., Koskinen, J., Varjus, S., Gerbig, Y., Haefke, H., Georgiou, S., ... & Jacobs, T. D. (2003). Micro-lubrication effect by laser-textured steel surfaces. Wear, 254(11-12), 1093-1101.

[2] Bair, S., & Winer, W. O. (1990). A rheological model for elastohydrodynamic contacts based on primary laboratory data. Journal of Lubrication Technology, 112(2), 246-254.

[3] Gao, H., Shao, Y., & He, F. (2011). Numerical analysis of mixed lubrication in journal bearings considering surface roughness and elastic deformation. Tribology International, 44(10), 1222-1231.

[4] Greenwood, J. A., & Tripp, J. H. (1970). The contact of two nominally flat rough surfaces. Proceedings of the Institution of Mechanical Engineers, 185(1), 625-633.

[5] Kurtz, R. J., & Polycarpou, A. A. (2007). Tribological performance of a nanostructured solid lubricant coating in air and oil environments. Wear, 262(1-2), 142-149.

[6] Majumdar, A., & Bhushan, B. (1991). Fractal model of elastic-plastic contact between rough surfaces. Journal of Tribology, 113(1), 1-11.

[7] Padgaonkar, A. J., & Biswas, S. K. (1995). Wear of journal bearings with polymer-filled grooves: A parametric study. Wear, 181-183(1), 436-445.

[8] Petrov, N. E. (1883). On the friction in machines and the effect of the lubricant. Proceedings of the Imperial Academy of Sciences of St. Petersburg, 40(1), 1-36.

[9] Pinkus, O., & Sternlicht, B. (1961). Theory of hydrodynamic lubrication. McGraw-Hill Book Company.

[10] Szeri, A. Z. (1980). Tribology: Friction, lubrication, and wear. Hemisphere Publishing Corporation.

[11] Yamada, Y., & Shigeki, K. (1984). A study of the relationship between wear mechanisms and bearing characteristics in hydrodynamic journal bearings. Tribology Transactions, 27(4), 445-453.

[12] Gupta, P. K., & Walowit, J. A. (1974). A general analysis of misaligned journal bearings under dynamic loading. Journal of Lubrication Technology, 96(1), 1-9.

[13] Hamrock, B. J., & Dowson, D. (1977). Isothermal elastohydrodynamic lubrication of point contacts: Part III—Fully flooded results. Journal of Lubrication Technology, 99(2), 264-275.

[14] Patir, N., & Cheng, H. S. (1978). An average flow model for determining effects of three-dimensional roughness on partial hydrodynamic lubrication. Journal of Lubrication Technology, 100(1), 12-17.

[15] Elrod, H. G. (1981). A cavitation algorithm. Journal of Lubrication Technology, 103(3), 350-354.

[16] Dowson, D., & Higginson, G. R. (1959). A numerical solution to the elastohydrodynamic problem. Journal of Mechanical Engineering Science, 1(1), 6-15.

[17] Harris, T. A. (2001). Rolling bearing analysis (4th ed.). Wiley.

[18] Bhushan, B. (2000). Modern tribology handbook (Vols. 1-2). CRC Press.

[19] Hamrock, B. J., Schmid, S. R., & Jacobson, B. O. (2004). Fundamentals of fluid film lubrication (2nd ed.). CRC Press.

[20] Taylor, C. M. (1993). Engine tribology: The role of lubrication in engine design and operation. In Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology (Vol. 207, No. 3, pp. 165-179).

[21] Fillon, M., & Bouyer, J. (2004). Thermohydrodynamic analysis of a tilting-pad journal bearing with a three-dimensional fluid film model. In Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology (Vol. 218, No. 3, pp. 195-204).

@article{1700082,
      author = {Vikrant Rayate},
      title = {Optimization of Engine Bearing Geometry for Reduced Friction and Wear},
      journal = {Iconic Research And Engineering Journals},
      year = {2017},
      volume = {1},
      number = {5},
      pages = {72-86},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700082.pdf},
      abstract = {Engine bearings are important in many mechanical systems applications; they reduce friction and loads in diverse operating environments. Thus, the material characteristics of these components are most important in determining higher performance levels, longer life cycles, and more efficient energy use. First, this paper will highlight several factors of the engine's bearings by providing a detailed description of the basic parameters of the bearings and their effect on friction and wear. Fundamental concepts of technical analysis, such as finite element analysis and CFD, are also described, along with contemporary optimization, such as genetic algorithms, machine learning, and multi-active optimization. The role of experimental validation as part of the procedure for moving from theoretical predictions to practical implementation is stressed. Evaluations of real-life automotive, aerospace, renewable energy, and heavy machinery applications indicate the effectiveness of using Bearing solitary components. Lastly, issues like multiple interactions of physics, the existing material's limitations, and the technology's high cost are also discussed; further, how to go for smart bearings, advanced material, and the product's sustainability are also tackled. These suggest that today's engines' ever-increasing role and application necessitate more research and development, innovation, and cooperation towards improving bearing structures.},
      keywords = {Engine Bearings, Optimization Techniques, Friction and Wear, Computational Modeling, Experimental Validation, Advanced Materials, Machine Learning},
      month = {November},
  }