Coolant Velocity Correlations in an IC Engine Coolant Jacket

Makkapati, Satheesh; Poe, Steve; Shaikh, Zafar; Cross, Robert W.; Mikulec, Tony

doi:10.4271/2002-01-1203

Cited by 12 publications

(2 citation statements)

References 8 publications

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“…In 2002 Satheesh Makkapati analyzed an engine water jacket using FLUENT, and calculated the effect of pump and thermostat. The simulation results match with the experimental results prove that the use of CFD analysis of engine cooling water jacket is feasible [2]. In order to accurately simulate the process of the engine water jacket boiling heat transfer, this paper used multiphase flow model of FLUENT by writing the UDF program on the boiling simulation, observed phase flow position and the boiling heat transfer coefficients, thus the boiling heat transfer conditions and the feasibility of cooling were understood.…”

Section: Introductionmentioning

confidence: 61%

Numerical Analysis of Flow at Water Jacket of an Internal Combustion Engine

Zhang

Jin

et al. 2011

AMR

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With the increasing degree of the enhancement of engine, engine cooling system design is considered particularly important. This paper used an established three-dimensional model of an engine water jacket to study, and used UDF function in the two-phase flow of the CFD, describe the mathematical model and simulation the engine at different operating conditions, and get the water jacket flow rate transfer thermal process. Finally, the results of the relationship between the engine water jacket of boiling heat transfer and flow velocity have been studied, and the importance of using two-phase flow model has been summarized.

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Section: Introductionmentioning

confidence: 61%

Numerical Analysis of Flow at Water Jacket of an Internal Combustion Engine

Zhang

Jin

et al. 2011

AMR

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“…This approach has allowed engineers to develop engine cooling strategies to achieve experience-based coolant velocity targets in critical areas. The success of this approach results from the high degree of con dence associated with the CFD velocity prediction [32][33][34] and, where high velocities are present, high rates of convective heat transfer naturally follow. However, the turbulence levels and actual heat transfer coe cients are usually signi cantly underpredicted [35].…”

Section: Implications For Cfd Modellingmentioning

confidence: 99%

Convective coolant heat transfer in internal combustion engines

Robinson

Hawley

Hammond

et al. 2003

Proceedings of the Institution of Mechanical Engineers, Part D:

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Simple heat transfer correlations are known to underpredict the single-phase convective heat transfer coefficient when applied to internal combustion (IC) engine cooling passages. The reasons for such underprediction were investigated using a specially designed test rig which was operated under a wide variety of test conditions relevant to IC engine operation. Data from this rig study identified that undeveloped flow (fluid dynamically and thermally), surface roughness and fluid viscosity variation with temperature were the physical reasons responsible for the mismatch. Simple empirical heat transfer models have subsequently been extended to take account of these factors and are shown to give much improved correlation with rig data, and data from an engine study. The implications of this work for predicting engine heat transfer in a three-dimensional computational fluid dynamics environment are discussed.

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