Modeling IC Engine Conjugate Heat Transfer Using the KIVA Code

Urip, E.; Liew, K. H.; Yang, Shu

doi:10.1080/10407780601112803

Cited by 21 publications

(12 citation statements)

References 16 publications

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“…Despite the inherent differences in the orders of magnitude in time scales associated with heat transfer in the fluids and the solids, these studies are carried out with in-cylinder gases and engine solid walls. Egel Urip [9] documented the coupled approach of evaluating heat transfer between combustion gases and solids within the same code. It was concluded that the best way to transfer combustion load between in-cylinder gases and solids is by using the convective conditions, i.e., heat transfer coefficients (HTC) coupled with near wall gas temperatures (Tgas) rather than the heat flux itself.…”

Section: Introductionmentioning

confidence: 99%

Thermal Map of an IC Engine via Conjugate Heat Transfer: Validation and Test Data Correlation

Iqbal¹,

Arora²,

Sanka

2014

SAE Int. J. Engines

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Accurate numerical prediction of an engine thermal map at a wide range of engine operating conditions can help tune engine performance parameters at an early development stage. This study documents the correlation of an engine thermal simulation using the conjugate heat transfer (CHT) methodology with thermocouple data from an engine operating in a dynamometer and a vehicle drive cell. Three different operating conditions are matched with the simulation data. Temperatures predicted by simulation at specific sections, both at the intake and the exhaust sides of the engine are compared with the measured temperatures in the same location on the operating engine.

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Section: Introductionmentioning

confidence: 99%

Thermal Map of an IC Engine via Conjugate Heat Transfer: Validation and Test Data Correlation

Iqbal¹,

Arora²,

Sanka

2014

SAE Int. J. Engines

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“…CHT can be used to model the coupled heat transfer between the engine solid components and liquid cooling jacket, while the in-cylinder flow is simulated separately using CFD [27,29,30,32]. Some studies only considered the coupling of the in-cylinder gas and solid components [34,35]. Or, CHT can be used to simulate the heat transfer between the engine solid components and the in-cylinder flow, while the liquid cooling jacket is simulated using CFD [28,31,33].…”

Section: Introductionmentioning

confidence: 99%

“…Their results show that the predicted heat flux from CHT can differ more than 20% from the heat flux obtained from uniform wall temperature boundary condition. Urip et al [34] implemented the CHT model in KIVA-3V, but excluded the CHT calculation in the valves, and only simulated the engine cycle from Intake Valve Closing (IVC) to Exhaust Valve Opening (EVO). Significant heat transfer can occur during valve events, and the entire engine cycle should be simulated.…”

Section: Introductionmentioning

confidence: 99%

Large Eddy Simulations with Conjugate Heat Transfer (CHT) modeling of Internal Combustion Engines (ICEs)

Keum

Sick

2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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In this study, the effects of the thermal boundary conditions at the engine walls on the predictions of Large-Eddy Simulations (LES) of a motored Internal Combustion Engine (ICE) were examined. Two thermal boundary condition cases were simulated. One case used a fixed, uniform wall temperature, which is typically used in conventional LES modeling of ICEs. The second case utilized a Conjugate Heat Transfer (CHT) modeling approach to obtain temporally and spatially varying wall temperature. The CHT approach solves the coupled heat transfer problem between fluid and solid domains. The CHT case included the solid valves, piston, cylinder head, cylinder liner, valve seats, and spark plug geometries. The simulations were validated with measured bulk flow, near-wall flow, surface temperature, and surface heat flux. The LES quality of both simulations was also discussed. The CHT results show substantial spatial, temporal, and cyclic variability of the wall heat transfer. The surface temperature dynamics obtained from the CHT model compared well with measurements during the compression stroke, but the absolute magnitude was 5 K (or 1.4%) off and the prediction of the drop in temperature after top dead center suffered from temporal resolution limitations. Differences in the predicted flow and temperature fields between the uniform surface temperature and CHT simulations show the impact of the surface temperature on bulk behavior.

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“…Predicting the temperature field accurately is the premise in designing a high-performance cooling system. With the rapid development of CFD technology and computer science, three-dimensional numerical simulations using the conjugate heat transfer (CHT) algorithm have become effective methods for accurately predicting the temperature field of turbine blades and other hot-end components [3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%