Oil jets piston cooling: A numerical methodology for the estimation of heat transfer coefficients and optimization of the piston temperature field through a genetic algorithm
Restricted accessResearch articleFirst published online July, 2024
Oil jets piston cooling: A numerical methodology for the estimation of heat transfer coefficients and optimization of the piston temperature field through a genetic algorithm
High-efficiency internal combustion engines need specific methodologies to be developed for the design improvement of the components. Predicting and reducing the thermal loadings on the parts are critical tasks to be addressed. This contribution focuses on the thermal management of the piston through oil jets. The operating temperature of the piston deeply affects its thermo-mechanical behavior, thus possibly jeopardizing the structural integrity of the component. The design of piston cooling jets is usually addressed through Computational Fluid Dynamics, which can guarantee accurate results, usually at a high computational cost. In this contribution, a faster tool is derived to grasp the effect of the cooling jets on the temperature of the piston. Empirical correlations are applied to predict the instantaneous heat transfer coefficients on the piston. The reciprocating motion of the piston is considered since it affects the interaction between the surface and the oil jets. Instantaneous coefficients are cycle-averaged and used to estimate the temperature of the piston through a Finite Element thermal analysis. Finally, an optimization code is developed to find the best jet configuration capable to minimize the temperature of the piston. This methodology is a powerful tool to select the optimal oil jet nozzles for piston cooling.
MAHLE GmbH. Pistons and engine testing. Wiesbaden: Vieweg+Teubner Verlag, 2016.
3.
BarbieriSGGiacopiniMMangerugaV, et al. A simplified methodology for the analysis of the cylinder liner bore distortion: finite element analyses and experimental validations. SAE technical paper 2019-24-0164, 2019.
WoschniG. A universally applicable equation for the instantaneous heat transfer coefficient in the internal combustion engine. SAE technical paper 670931, 1967.
6.
GT-SUITE - Cooling Systems and Thermal Management Application Manual and Tutorial - Version 2016.
7.
EsfahanianVJavaheriAGhaffarpourM. Thermal analysis of an SI engine piston using different combustion boundary condition treatments. Appl Therm Eng2006; 26: 277–287.
8.
OlivaAWachtmeisterG. Numerical simulation of the multiphase flow phenomena in the crankcase of an internal combustion engine. Proc IMechE, Part D: J Automobile Engineering2017; 231: 1718–1731.
9.
NasifGBarronRMBalachandarR. Numerical simulation of piston cooling with oil jet impingement. J Heat Transf2016; 138: 1–11.
10.
NasifGBarronRMBalachandarR. Simulation of jet impingement heat transfer onto a moving disc. Int J Heat Mass Transf2015; 80: 539–550.
11.
LiuYCGuessousLSangeorzanBP, et al. Laboratory experiments on oil-jet cooling of internal combustion engine pistons: area-average correlation of oil-jet impingement heat transfer. J Energy Eng2015; 141: 1–11.
12.
EasterJJarrettCPespisaC, et al. An area-average correlation for oil-jet cooling of automotive pistons. J Heat Transf2014; 136: 1–5.
13.
ChoHvan NieuwstadtM. Piston temperature model oriented to control applications in diesel engines. Proc IMechE, Part D: J Automobile Engineering2018; 232: 1562–1570.
14.
BarbieriSGMangerugaVGiacopiniM. The effects of the specific material selection on the structural behaviour of the piston-liner coupling of a high performance engine. SAE technical paper 2021-01-1235, 2021.
15.
TianLGuoYLiJ, et al. Elevated re-aging of a piston aluminium alloy and effect on the microstructure and mechanical properties. Mater Sci Eng A2018; 738: 375–379.
16.
StevensJWebbBW. Local heat transfer coefficients under an axisymmetric, single-phase liquid jet. J Heat Transf1991; 113: 71–78.
17.
ElisonBWebbBW. Local heat transfer to impinging liquid jets in the initially laminar, transitional, and turbulent regimes. Int J Heat Mass Transf1994; 37: 1207–1216.
18.
LienhardJH. Heat transfer by impingement of circular free-surface liquid jets. In: 18th National and 7th ISHMT-ASME heat and mass transfer conference, IIT Guwahati, India, 2006.
19.
BhuniaSKLienhardJH. Splattering during turbulent liquid jet impingement on solid targets. J Fluid Eng1994; 116: 338–344.
20.
BhuniaSKLienhardJH. Surface disturbance evolution and the splattering of turbulent Liquid Jets. J Fluid Eng1994; 116: 721–727.
21.
LienhardJHLiuXGabourLA. Splattering and heat transfer during impingement of a turbulent liquid jet. J Heat Transf1992; 114: 362–372.
22.
StevensJWebbBW. The effect of inclination on local heat transfer under an axisymmetric, free liquid jet. Int J Heat Mass Transf1991; 34: 1227–1236.
23.
NajafabadiMIMirsalimMHosseiniV, et al. Experimental and numerical study of piston thermal management using piston cooling jet. J Mech Sci Technol2014; 28: 1079–1087.
24.
AgarwalAKGoyalSKSrivastavaDK. Time resolved numerical modeling of oil jet cooling of a medium duty diesel engine piston. Int Commun Heat Mass Transf2011; 38: 1080–1085.
25.
VargheseMBAgarwalAK. Numerical investigations of piston cooling using oil jet. SAE technical paper 2004-28-0061, 2004.
26.
AgarwalAKVargheseMB. Numerical investigations of piston cooling using oil jet in heavy duty diesel engines. Int J Engine Res2006; 7: 411–421.
27.
GoldsteinRJFranchettME. Heat transfer from a flat surface to an oblique impinging jet. J Heat Transf1988; 110: 84–90.
28.
GiacopiniMSissaSRosiR, et al. Influence of different temperature distributions on the fatigue life of a motorcycle piston. Proc IMechE, Part D: J Automobile Engineering2015; 229: 1276–1288.
29.
PeyrGKerivenRCohenLD, et al. Geodesic methods in computer vision and graphics. Found Trends Comput Graph Vis2010; 5: 197–397.
30.
CraneKWeischedelCWardetzkyM. The heat method for distance computation. Commun ACM2017; 60: 90–99.
31.
MitchellJSBMountDMPapadimitriouCH. The discrete geodesic problem. SIAM J Comput1987; 16: 647–668.
32.
SethianJA. Fast marching and level set methods for propagating interfaces, Cambridge University Press, Cambridge, 1998.
33.
AlblasD. Implementing and analysing the fast marching method, Master's Thesis. University of Twente, Twente, 2018.
FontanesiSGiacopiniM. Multiphase CFD–CHT optimization of the cooling jacket and FEM analysis of the engine head of a V6 diesel engine. Appl Therm Eng2013; 52: 293–303.
36.
RakopoulosCDRakopoulosDCMavropoulosGC, et al. Experimental and theoretical study of the short term response temperature transients in the cylinder walls of a diesel engine at various operating conditions. Appl Therm Eng2004; 24: 679–702.
37.
SissaSGiacopiniMRosiR. Low-cycle thermal fatigue and high-cycle vibration fatigue life estimation of a diesel engine exhaust manifold. Procedia Eng2014; 74: 105–112.
38.
LorenziniMGiacopiniMBarbieriSG. Thermo-mechanical analysis of the exhaust manifold of a high performance turbocharged engine, 17th International Conference on Fracture and Damage Mechanics, FDM 2018, Seville, Spain, 2018.
39.
CantoreGGiacopiniMRosiR, et al. Validation of a combined CFD/FEM methodology for the evaluation of thermal load acting on aluminum alloy pistons through hardness measurements in internal combustion engines. Metallurgical Sci Technol2011; 29: 16–25.
40.
XiongDTianTWongV. Transient heat transfer of piston/rings/liner system in diesel engines. In: ASME 2005 internal combustion engine division spring technical conference, Chicago, IL, pp. 479–488.
41.
ChaudhariTSutariaB. Investigation of friction characteristics in segmented piston ring liner assembly of IC engine. Perspect Sci2016; 8: 599–602.
42.
BarbieriSGBiancoLMangerugaV, et al. A simplified finite element methodology for the structural assessment of an engine piston under dynamic loadings. AIP Conf Proc: 020014, online conference.
43.
SöderfjällMAndreasALarssonR. A model for twin land oil control rings, Tribol Int 2016; 95: 475–482.
44.
SmedleyG. Piston ring design for reduced friction in modern internal combustion engines. Massachusetts Institute of Technology, Doctoral Thesis. Cambridge, MA, 2004.
45.
BarbieriSGGiacopiniMMangerugaV, et al. Design of an additive manufactured steel piston for a high performance engine: developing of a numerical methodology based on topology optimization techniques. SAE Int J Engines2018; 11: 1139–1150.
46.
CavazzutiM. Optimization methods: from theory to design, Springer, 2013.
47.
FouskakisDDraperD. Stochastic optimization: a review. Int Stat Rev2002; 70: 315–349.
48.
LinM-HTsaiJ-FYuCS. A review of deterministic optimization methods in engineering and management. Math Probl Eng2012; 2012: 1–15.
49.
VikharPA. Evolutionary algorithms: a critical review and its future prospects. In: 2016 international conference on global trends in signal processing, information computing and communication (ICGTSPICC), pp. 261–265. IEEE, Jalgaon, India.
