Numerical Simulation of Flow and Heat Transfer of Hybrid Nanofluids in Manifold Microchannel Heat Sink

doi:10.12068/j.issn.1005-3026.2024.07.007

Abstract

Abstract:

The numerical simulation of flow and heat transfer characteristics of hybrid nanofluids in a manifold microchannel heat sink （MMHS） was performed. Using Al₂O₃-CuO-water as the working fluid， the effects of the mixing ratio of nanoparticles， volume fraction （φ）， Reynolds number （Re）， and the introduction of grooves on the flow and heat transfer of the heat sink were investigated. The results showed that the hybrid nanofluids have excellent thermodynamic properties at high concentrations and Re， but the corresponding pressure drop increases. The overall performance of the hybrid nanofluids with a mixing ratio of 1∶4 is the best. When Re=100， φ=6%， the pump power consumption is 18.9% lower， and the overall performance index is 21.7% higher than that of single Al₂O₃-water nanofluids. Adding different shapes of grooves on the sidewall has a similar heat transfer effect to that of a smooth bifurcation microchannel.

Key words: manifold microchannel heat sink, hybrid nanofluid, grooved structure, flow and heat transfer

CLC Number:

TK 124

Hui DONG, Ke-fan YU, Liang ZHAO, Jin WANG. Numerical Simulation of Flow and Heat Transfer of Hybrid Nanofluids in Manifold Microchannel Heat Sink[J]. Journal of Northeastern University(Natural Science), 2024, 45(7): 960-966.

Figures/Tables 13

Fig.1 Geometric model of manifold microchannel heat sink

Table 1 MMHS geometric parameters

L_i	L_o	L_c	L_n	L_d	L_a	W_r	W_f	W_c	H_c	H_m	H_s
1 000	2 000	8 000	1 000	490	108	31	100	160	1 500	1 000	1 000

Table 2 Thermophysical properties of Al2O3 and CuO

参数	Al₂O₃	CuO
密度/（kg·m^-3）	3 970	6 500
热导率/（W·m^-1·K^-1）	40	20
比热容/（J·kg^-1·K^-1）	765	535.6

Table 3 Curve fitting relationship of β designed according to Ref.[25] experiments

纳米颗粒	β	体积分数	温度/K
Al₂O₃	8.440 7(100φ)^{-1.073 04}	1%≤φ≤10%	298≤T≤363
CuO	9.881(100φ)^{-0.944 6}	1%≤φ≤6%	298≤T≤363

Table 4 Grid independence test results

编号	网格单元数	$T h ˉ$ /K	相对误差/%	T_out/K	误差/%
1	87 961	322.767 9	—	302.780 4	—
2	651 738	322.260 8	0.157 36	303.161 4	0.125 68
3	727 947	322.002 8	0.080 12	303.246 8	0.028 16
4	1 050 160	322.000 2	0.000 81	303.244 6	0.000 73

Table 4 Grid independence test results

编号	网格单元数	$T h ˉ$ /K	相对误差/%	T_out/K	误差/%
1	87 961	322.767 9	—	302.780 4	—
2	651 738	322.260 8	0.157 36	303.161 4	0.125 68
3	727 947	322.002 8	0.080 12	303.246 8	0.028 16
4	1 050 160	322.000 2	0.000 81	303.244 6	0.000 73

Fig.2 Deviation between numerical simulation and the experimental data from Sharma et al[27].

Fig.3 Velocity distribution of fluid at different Re

Fig.4 MMHS temperature graduation with different volume fraction and mixing ratio

Fig.5 Hot spot temperature of heating surface

Fig.6 Effects of different volume fraction and mixing ratio on pump power

Fig.7 Effects of volume fraction and mixing ratio on the overall performance

Fig.8 Effect of groove shape on hot spot temperature

Fig.9 Effect of groove shape on overall performance index

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