<p> Determination of boiling heat transfer rate during liquid jet impingement cooling (LJIC) depends on the intensity of bubble generation that is dependent on many flow and surface conditions such as jet velocity, liquid temperature, and surface superheat. Many empirical correlations have been developed previously to determine the total wall heat flux under various LJIC flow velocity, subcooling and surface superheat. However, only few studies have been able to model the governing heat transfer mechanisms associated with LJIC. In many industrial applications, there is a need to determine the effect of any changes in processing parameters on the total rate of heat transfer. Mechanistic heat transfer models can fulfill such need and allow for efficient model modifications at minimum cost and time.</p> <p> Three models have been developed in this study that address the underlying physics associated with jet impingement heat transfer in both single phase and nucleate boiling regimes. The first model accounts for the effect of bubble generation on the overall heat transfer rate at the jet stagnation by introducing a bubble-induced diffusivity (BID). The BID is added to molecular diffusivities in the momentum and energy Equations. The BID model adopts an analogous approach to the eddy diffusivity concept used in turbulence flow modeling. The BID model has been developed to provide a cost effective simulation tool of boiling heat transfer during LJIC by considering bubble generation effect on the overall heat transfer rate while avoiding the need to simulate extremely small time and length scales associated with phase change.</p> <p> The second model is a scenario identification procedure (SIP) that has been developed to predict the bubble growth termination (BGT) scenario. Considering the effect of jet velocity, water subcooling and surface superheat, the SIP identifies whether a bubble would locally collapse or slide by identifying the most probable equilibrium condition (thermal or dynamic) that the bubble would reach first. The main objective of the SIP is to avoid any inaccurate assumption of the probable BGT scenario. In this case, such procedure could improve the predictions of a more comprehensive wall heat flux model of the areas affected by various heat transfer mechanisms.</p> <p> The third model is a mechanistic wall flux partitioning (WFP) model that has been developed to predict the local wall heat transfer rate over the distance between jet stagnation and ten times the jet width. The WFP model assumes that primary heat transfer is due to sensible heating of liquid by forced convection and transient conduction. The WFP model incorporates a unified single-phase heat transfer model that is capable of capturing the observed secondary peaks downstream of stagnation. The WFP model also incorporates a sub-model that predicts abrupt changes in the liquid film thickness due to the formation of hydraulic jumps.</p> <p> The development of these three models have been carried out using experimental data obtained from a set of experiments that has been conducted to investigate the variation of the heat transfer rate and bubble dynamics under a planar free liquid jet. Investigation of bubble dynamics has been conducted using both intrusive optical probe and non-intrusive high speed imaging of the flow filed. The experiments have been conducted at atmospheric pressure, considering jet velocity of 0.4 to 1.7 m/s, degree of water subcooling of 10 to 28 °C, degree of wall superheat of -25 to 30 °C. Such variations have been studied along a heated surface between stagnation and ten times the jet width. Experiments were conducted using a 1 mm x 8 mm planar jet impinging on a heated horizontal flat copper surface. The distance between the jet and the heated surface was 10 mm. The experimental data have been used to develop a group of sub-models for single-phase heat transfer, bubble diameter, bubble population density, bubble release frequency, and bubble growth time. These sub-models have been used in the closure of the aforementioned models.</p> <p> The three models have been validated using independent experimental data. The BID model is capable of predicting stagnation heat flux within -15% and +30%. The SIP model was able to predict the right bubble growth termination scenario of 80% of the investigated cases. The WFP model is capable of predicting the local total wall heat flux within± 30%.</p> / Thesis / Doctor of Philosophy (PhD)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/19052 |
| Date | 08 1900 |
| Creators | Omar, Ahmed M. T. |
| Contributors | Hamed, Mohamed S., Shoukri, Mamdouh, Mechanical Engineering |
| Source Sets | McMaster University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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