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Computational study of cooling single wall mounted electronic component by jet impingement in cross flow configuration has been investigated. Five different turbulence models; standard k - ԑ, Realizable k - ԑ, RNG k - ԑ, Standard k–ω, and SST k–ω models were investigated. The results of flow structure as well as the local heat transfer coefficient...
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... an electronic components by two streams of air is sketched in Fig. 1. The first fluid stream is a cross flow and the second stream is an impinging jet directed normally onto the top face of the component. The Reynolds number of cross flow (Rec) based on the hydraulic diameter and flow velocity in the channel, Uc = 3 m/s, equals to 2800. The Reynolds number of jet flow (Rej) based on the jet velocity, Uj ...
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... in Fig. 9. The WV is significant similar to these proposed by the standard k-ɛ model. Furthermore, the two cells of the WV is stretched than those predicted by k-ɛ models. The SST k-ω has a consistent prediction to the standard k-ω model about the UHV, LHV, and SV while the VR and the WV is similar to those predicted by RNG k-ɛ model as shown in Fig. 10. The SST k-ω model totally predicted flow structure similar to these investigated by the experimental study of Masip et al. ...
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... distribution of local heat transfer coefficient at z/b = 0.5 along path ABCD on the; front (AB), side (BC), and rear (CD) faces is shown in Figs. 11-13. It is observed that the distribution of heat transfer coefficient has a concave profile on the front face for all types of turbulent models as shown in Fig. 11. The variation of local heat transfer coefficient is a concave shape with higher values near the leading edges and lowers at the face mid span as a result of sweeping the flow ...
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... distribution of local heat transfer coefficient at z/b = 0.5 along path ABCD on the; front (AB), side (BC), and rear (CD) faces is shown in Figs. 11-13. It is observed that the distribution of heat transfer coefficient has a concave profile on the front face for all types of turbulent models as shown in Fig. 11. The variation of local heat transfer coefficient is a concave shape with higher values near the leading edges and lowers at the face mid span as a result of sweeping the flow towards the leading edges. The values of local heat transfer coefficient for both k-ω models is greater than these predicted by the different k-ε models due to ...
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... is noticed from Fig. 12 that the distribution of local heat transfer coefficient on the side face (BC) has its highest value near the leading edge and then fall dramatically due to the effect of the side vortex. Then it increases at the reattachment point after the separation then fall gradually due to the dissipation in flow momentum. All turbulence model ...
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... distribution of the local heat transfer coefficient on the rear face is reported in Fig. 13. The effect of two cell WV in significant in all k-ε models. The value of local heat transfer coefficient is high at the trailing edge as a result of the separated shear layer. Then the local heat transfer coefficient decreases due to the recirculation cell then it increases gradually as a result of high recirculation speed of the two ...
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... subjected to JICF at Rej/Rec = 2 using Realizable k -ԑ model Fig. 8. Velocity vector on x-z (above) and x-y planes around an electronic component subjected to JICF at Rej/Rec = 2 using RNG k -ԑ model. Fig. 9. Velocity vector on x-z (above) and x-y planes around an electronic component subjected to JICF at Rej/Rec = 2 using standard k -ω model Fig. 10. Velocity vector on x-z (above) and x-y planes around an electronic component subjected to JICF at Rej/Rec = 2 using SST k -ω model ...
