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Abstract

This paper investigates the effect of optimum macro-scale cylinder liners oil groove on the tribological behavior of large bore marine diesel engines. Parabolic bottom shape grooves are selected as the cylinder liner surface texturing. The grooves have been distributed along the stroke in the form of array of circumferential cells with the axial groove centered in each cell. Teaching–learning-based optimization algorithm is applied to get the optimum dimensions of oil grooves, where the objective is to minimize the cyclic average total friction force between the top compression piston ring and the cylinder liner. Numerical simulation based on Reynolds equation is presented to study the effect of optimum grooves’ dimensions on tribological parameters such as hydrodynamic friction, asperity contact pressure, and hydrodynamic oil film pressure. Results showed that the optimum dimensions oil grooves have a significant effect on the total friction force and the cavitation pressure of the oil film.

Keywords

Friction texturation modeling in tribology cylinder liner oil grooves teaching–learning-based optimization algorithm

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References

Becker

. Trends in tribological materials and engine technology. Tribol Int 2004; 37: 569–575.

Kligerman

Etsion

Shinkarenko

. Improving tribological performance of piston rings by partial surface texturing. J Tribol 2005; 127: 632–638.

Etsion

. Improving tribological performance of mechanical components by laser surface texturing. Tribol Lett 2004; 17: 733–737.

Mohamad

Zheng

. Effect of cylinder liner oil grooves shape on two-stroke marine diesel engine’s piston ring friction force. Adv Mech Eng 2015; 7: 1–12.

Hamilton

Walowit

Allen

. A theory of lubrication by microirregularities. J Basic Eng 1966; 88: 177–185.

Costa

Hutchings

. Hydrodynamic lubrication of textured steel surfaces under reciprocating sliding conditions. Tribol Int 2007; 40: 1227–1238.

Etsion

Burstein

. A model for mechanical seals with regular microsurface structure. Tribol Trans 1996; 39: 677–683.

Ronen

Etsion

Kligerman

. Friction-reducing surface-texturing in reciprocating automotive components. Tribol Trans 2001; 44: 359–366.

Ryk

Kligerman

Etsion

. Experimental investigation of laser surface texturing for reciprocating automotive components. Tribol Trans 2002; 45: 444–449.

10.

Wang

Liu

Zhou

, et al. Preliminary investigation of the effect of dimple size on friction in line contacts. Tribol Int 2009; 42: 1118–1123.

11.

Shi

. Effects of groove textures on fully lubricated sliding with cavitation. Tribol Int 2011; 44: 2022–2028.

12.

Zhou

Zhu

Tang

, et al. Development of the theoretical model for the optimal design of surface texturing on cylinder liner. Tribol Int 2012; 52: 1–6.

13.

Priest

Dowson

Taylor

. Theoretical modelling of cavitation in piston ring lubrication. Proc IMechE, Part C: J Mechanical Engineering Science 2000; 214: 435–447.

14.

Arcoumanis

Ostovar

Mortier

. Mixed lubrication modelling of Newtonian and shear thinning liquids in a piston-ring configuration. SAE Trans 1997; 106: 1306–1331.

15.

Xin

. Diesel engine system design, New York: Elsevier, 2011.

16.

Jeng

. Theoretical analysis of piston-ring lubrication part II—starved lubrication and its application to a complete ring pack. Tribol Trans 1992; 35: 707–714.

17.

Jakobsson

. The finite journal bearing, considering vaporization. Trans Chalmers Univ Technol 1957; 190.

18.

Olsson

. Cavitation in dynamically loaded bearings. Trans Chalmers Univ Technol 1965; 308.

19.

Elrod

. A cavitation algorithm. J Lubr Technol 1981; 103: 350–354.

20.

Mohamad

Zheng

. Numerical modeling of lubrication of piston ring of two-stroke marine diesel engine considering the effect of multi-scale grooves on the cylinder liner. Proc IMechE, Part J: J Engineering Tribology 2014; 229: 989–1002.

21.

Profito

Vlădescu

Reddyhoff

, et al. Transient experimental and modelling studies of laser-textured micro-grooved surfaces with a focus on piston-ring cylinder liner contacts. Tribol Int 2017; 113: 125–136.

22.

Wen

Huang

. Principles of tribology, Wiley Online Library, 2012.

23.

Meng

Wang

Hua

, et al. A simple method to calculate contact factor used in average flow model. J Tribol 2010; 132: 1–4.

24.

Patir

Cheng

. An average flow model for determining effects of three-dimensional roughness on partial hydrodynamic lubrication. J Lubr Technol 1978; 100: 12–17.

25.

Patir

Cheng

. Application of average flow model to lubrication between rough sliding surfaces. J Lubr Technol 1979; 101: 220–229.

26.

Meng

Zhang

, et al. Numerical study of influences of hard particles in lubricant on tribological performances of the piston ring. Proc IMechE, Part C: J Mechanical Engineering Science 2007; 221: 361–372.

27.

Guo Y, Li W, Zou D, et al. Analysis of tribological performance of piston ring lubrication. In: ASME internal combustion engine division fall technical conference, 2011, pp.977–985. New York: ASME.

28.

Profito F, Zachariadis D and Tomanik E. One dimensional mixed lubrication regime model for textured piston rings. In: Brazilian congress of mechanical engineering, Natal, RN, Brazil, 2011.

29.

Frene

Nicolas

Degueurce

, et al. Hydrodynamic lubrication: bearings and thrust bearings, vol. 33. New York: Elsevier, 1997.

30.

Greenwood

Tripp

. The contact of two nominally flat rough surfaces. Proc Instn Mech Engrs 1970; 185: 625–633.

31.

Rao

Savsani

Vakharia

. Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput-Aid Des 2011; 43: 303–315.

32.

Rao

Savsani

. Mechanical design optimization using advanced optimization techniques, New York: Springer, 2012.

33.

Ma R, Mohamad S, Lu X, et al. Numerical analysis and experimental evaluation of cylinder liner macro-scale surface texturing. In: Proceedings of ASME internal combustion engine division fall technical conference, Houston, TX, USA, 8–11 November 2015, pp.1–9.

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Optimization of cylinder liner macro-scale surface texturing in marine diesel engines based on teaching–learning-based optimization algorithm

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