Laboratory Experiments on Oil-Jet Cooling of Internal Combustion Engine Pistons: Area-Average Correlation of Oil-Jet Impingement Heat Transfer

Liu, Y. C.; Guessous, Laila; Sangeorzan, Brian; Alkidas, A. C.

doi:10.1061/(asce)ey.1943-7897.0000227

Cited by 14 publications

(14 citation statements)

References 34 publications

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“…By measuring local exchanges on turbulent water flows, Stevens and Webb [14] obtained similar dependence results, as did several other authors [15][16][17] for oil. However, some studies have found a Reynolds exponent close to 0.5 even in laminar cases [9,18,19]. Classical 𝑃𝑟 1/3 dependence for heat exchanges fits fairly well with experimental data (using water or oil) [16,18,20,21] even though some studies have found slight discrepancies.…”

Section: Introductionsupporting

confidence: 60%

“…Using water jets (𝑃𝑟 ≈ 10), Stevens and Webb [14] found 𝑃𝑟 0.4 dependence, as did Liu et al [9] (0.15 < 𝑃𝑟 < 3). Concerning oil jets, [15,17,19] suggested less dependence (Pr 0.239−0.32 ), but Easter et al [22], who presented the widest Prandtl number range to our knowledge (90 < 𝑃𝑟 < 750), found that the 0.4 exponent correlated well with their results.…”

Section: Introductionmentioning

confidence: 64%

“…For Fitzgerald and Garimella [24], who carried out laser Doppler velocity measurements on submerged water jets, that is because a larger diameter maintains higher levels of turbulence and higher centerline normalized velocities. Many characteristic numbers have been used to assess the influence of the diameter, without any clear consensus : 𝑉/𝑑, to take account of the velocity gradient near the stagnation zone (like 𝐺, it is complex to obtain experimentally) [14], the Bond number 𝐵𝑜 = 𝑔 𝜌 𝑑 2 /𝜎, representing the ratio of gravity forces to surface tension forces [25], or simply the diameter 𝑑, generally as a dimensionless number using the diameter of the area considered when averaging the Nusselt number [15,17,19]. Concerning nozzle-to-target distance, small length (𝑧/𝑑 < 1) alters the flow field downstream of the stagnation point and consequently affects heat transfers, while long distance (𝑧/𝑑 > 20) can change a parabolic velocity profile into a uniform one, leading to a drop of cooling capacities, as pointed out by Lienhard [21].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An experimental study of local heat transfer using high Prandtl number liquid jets

Renon

Fénot

Girault

et al. 2021

International Journal of Heat and Mass Transfer

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Section: Introductionsupporting

confidence: 60%

Section: Introductionmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An experimental study of local heat transfer using high Prandtl number liquid jets

Renon

Fénot

Girault

et al. 2021

International Journal of Heat and Mass Transfer

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“…Liu et al [67] developed an area-average heat transfer correlation to be employed for numerical evaluation of oiljet cooling of pistons inside internal combustion engines.…”

Section: Wall To Oil Heat Transfermentioning

confidence: 99%

Internal Combustion Engine Heat Transfer and Wall Temperature Modeling: An Overview

Fonseca

Olmeda

Novella

et al. 2019

Arch Computat Methods Eng

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Internal combustion engines are now extremely optimized, in such ways improving their performance is a costly task. Traditional engine improvement by experimental means is aided by engine thermodynamic models, reducing experimental and total project costs. For those models, accuracy is mandatory in order to offer good prediction of engine performance. Modelling of the heat transfer and wall temperature is an important task concerning the accuracy and the predictions of any engine thermodynamic model, although it is many times an overcome task. In order to perform good prediction of engine heat transfer and wall temperature, models are required for accomplish heat transfer from hot gases to engine parts, heat transfer inside each engine part, and also heat transfer to coolant and lubricating oil. This paper presents an overview about engine heat transfer and wall temperature modelling, with main purpose to aid engine thermodynamic modelling and offer more accurate predictions of engine performance, consumption and emission parameters. The most important correlation are reviewed for three engine heat transfer approaches: gas to wall, wall to wall and wall to liquid heat transfer models. In order to obtain good prediction of wall temperature, those three approaches must be coupled, which may imply convection-conduction-convection problems, although for some applications in diesel engines, radiation problems must be considered.

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“…There is little publicly available information on this topic. However, some limited data on thermal performance of viscous, high-Prandtlnumber fluids (e.g., oils) and their applications for cooling electric machines, internal combustion engine pistons and transformer windings have been reported in the literature [3][4][5][6][7][8][9][10][11][12][13][14]. A detailed overview of the literature with relevant experimental and theoretical work is provided in the National Renewable Energy Laboratory's (NREL's) previous publication [15] on this topic.…”

Section: Oil Cooling Performancementioning

confidence: 99%

Surface Temperature Effect on Convective Heat Transfer Coefficients for Jet Impingement Cooling of Electric Machines With Automatic Transmission Fluid

Kekelia

Bennion

Feng

et al. 2019

ASME 2019 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystem

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In this study, the results of NREL’s continued work on experimental characterization of the thermal performance of free-surface jets of automatic transmission fluid impinged on a heated target surface are presented. The measured heat transfer coefficients are useful for understanding factors influencing performance of driveline fluid-based cooling systems for electric machines and help designers in developing high-performance, power-dense and reliable machines. Experiments were carried out for different fluid and target surface temperatures (50°C, 70°C, and 90°C for the fluid and 90°C, 100°C, 110°C, and 120°C for the target surface). Impinging jet velocities (0.5 m/s to 7.5 m/s) and the jet position on the target surface (center versus edge) were also varied. The impinging angle was kept at 90° relative to the target surface. It was found that higher target surface temperature increased heat transfer coefficients, namely, increasing surface temperature from 90°C to 120°C enhanced heat transfer coefficient values at higher impinged jet velocities (7.5 m/s) by up to 15%.

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Laboratory Experiments on Oil-Jet Cooling of Internal Combustion Engine Pistons: Area-Average Correlation of Oil-Jet Impingement Heat Transfer

Cited by 14 publications

References 34 publications

An experimental study of local heat transfer using high Prandtl number liquid jets

An experimental study of local heat transfer using high Prandtl number liquid jets

Internal Combustion Engine Heat Transfer and Wall Temperature Modeling: An Overview

Surface Temperature Effect on Convective Heat Transfer Coefficients for Jet Impingement Cooling of Electric Machines With Automatic Transmission Fluid

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