Optimization method of micro-channel radiator structure

Abstract

The invention discloses an optimization method and application of a micro-channel radiator structure, and the optimization method comprises the steps: determining all structure types suitable for a micro-channel radiator, and determining the initial structure parameters of the micro-channel radiator to which the structure types belong one by one for different structure types, constructing a model according to the initial structure parameters and possible structure characteristics of the micro-channel radiator to which the structure category belongs; the model is simulated, and performance parameters of the model are obtained through simulation by changing different working conditions; selecting the model with the best heat dissipation performance in each structure category from all the models, and determining to-be-optimized structure parameters of each model; reconstructing the corresponding model according to the to-be-optimized structure parameters; performing analog simulation on each reconstructed model to obtain performance parameters of each model; the model with the optimal heat dissipation performance is selected from the reconstructed models. The systematic optimization method for the micro-channel radiator structure is good in consistency, easy to popularize and apply and good in application prospect.

Description

Technical Field

[0001] The invention relates to the technical field of microchannel radiator design, and relates to a method for optimizing the structure of a microchannel radiator. Background Art

[0002] With the social demand for miniaturization of electronic products today, the size of electronic chips is getting smaller and smaller, and the integration is getting higher and higher, which leads to an increase in the heat flux density generated per unit volume. Therefore, how to safely and effectively dissipate the high heat to the outside world has become a major technical difficulty.

[0003] In this context, a microchannel cooling system was proposed, and the heat dissipation capacity of the microchannel is as high as 790 W / cm 2 . Conventional microchannel heat sinks (MCHS) are usually composed of many parallel direct current channels, which lead to poor fluid mixing due to the straight streamlines. As the thickness of the boundary layer increases, the thermal performance decreases in the direction of fluid flow, resulting in uneven temperature distribution on the bottom wall of the heat sink. In addition, the location of high-temperature hot spots in electronic devices is prone to breakdown, which reduces the reliability of electronic devices and shortens their lifespan.

[0004] In recent years, many methods have been studied to improve the heat transfer efficiency of microchannels, such as optimizing the bionic topological structure, changing the flow path of the microchannel to significantly enhance the fluid flow and expand the heat transfer area, or introducing enhanced structures in the microchannel flow channel. Studies have shown that the optimized microchannel radiator has better heat dissipation effect. However, how to achieve systematic optimization of the microchannel radiator structure is still a problem that plagues technicians in this field.

[0005] Therefore, it is of great practical significance to develop a method that can achieve systematic optimization of the microchannel heat sink structure. Summary of the invention

[0006] Due to the above-mentioned defects in the prior art, the present invention provides a method for systematically optimizing the microchannel radiator structure, specifically a method for optimizing the microchannel radiator structure and its application, which overcomes the current problem of lack of a systematic optimization method for the microchannel radiator structure.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A method for optimizing a microchannel heat sink structure comprises the following steps:

[0009] (1)Determine all structural categories applicable to the microchannel heat sink. For different structural categories, determine the initial structural parameters of the microchannel heat sink belonging to each structural category one by one. Based on the initial structural parameters and the possible structural features of the microchannel heat sink belonging to each structural category, construct models. Each possible structural feature corresponds to a constructed model, and one structural category corresponds to at least one structural feature;

[0010] (2)Simulate the models obtained in step (1), change different working conditions, and simulate to obtain the performance parameters of the models;

[0011] (3)Select the model with the best heat dissipation performance in each structural category from all the models, and determine the structural parameters to be optimized for each model;

[0012] (4)Reconstruct the corresponding models according to the structural parameters to be optimized determined in step (3);

[0013] (5)Simulate the models reconstructed in step (4), change different working conditions, and simulate to obtain the performance parameters of each model;

[0014] (6)Select the model with the best heat dissipation performance from the models reconstructed in step (4) according to the results obtained in step (5), and the optimal structural parameters are obtained.

[0015] The present invention provides a systematic optimization method for the structure of a microchannel heat sink, which is convenient to operate, has good consistency, is easy to promote and apply. Applying the above method can provide a potential path for improving the heat transfer efficiency (reducing temperature and pressure drop) of the microchannel heat sink, and has a broad application prospect and good application prospect.

[0016] As a preferred technical solution:

[0017] For the optimization method of the structure of a microchannel heat sink as described above, the initial structural parameters include the channel height H c , fin width W d , channel width W c and fin height H d .

[0018] For the optimization method of the structure of a microchannel heat sink as described above, the working conditions in step (2) include the inlet air velocity u in , inlet air temperature T in and bottom heat flux q;

[0019] The inlet air velocity u in has a value range of 0.5 - 2.5 m / s, the inlet air temperature T in has a value range of 298.15 - 338.15 K, and the value range of the bottom heat flux q is 100 - 500 W / cm2 。

[0020] An optimization method for the structure of a microchannel heat sink as described above, wherein the evaluation indexes of the heat dissipation performance include the maximum surface temperature T max , the average temperature T ave and the pressure loss ΔP. When evaluating the heat dissipation performance, if there is an order-of-magnitude difference in the pressure loss ΔP, the pressure loss ΔP is preferentially considered. If the pressure loss ΔP is within the same order of magnitude range, the average temperature T ave difference is preferentially considered.

[0021] An optimization method for the structure of a microchannel heat sink as described above, wherein the structural parameters to be optimized are one or more of the channel height H c , the fin width W d , the channel width W c and the fin height H d .

[0022] Specifically, for a double-layer microchannel heat sink, the structural parameters to be optimized are the channel height H c and the channel width W c ; for a microchannel heat sink with a bionic spider web structure, the structural parameters to be optimized are the channel height H c and the fin width W d ; for a microchannel heat sink with a straight channel structure, the structural parameters to be optimized are the channel height H c and the channel width W c ; for a microchannel heat sink with a wavy structure, the structural parameters to be optimized are the channel height H c and the wave angle α.

[0023] An optimization method for the structure of a microchannel heat sink as described above, wherein the simulation is a CFD simulation, using a laminar flow model, the fluid medium is water, the flow is steady, continuous and incompressible, and all components of the microchannel heat sink are made of silicon with excellent thermal conductivity as the base material.

[0024] An optimization method for the structure of a microchannel heat sink as described above, wherein the working condition in step (5) is the intake air velocity u in ;

[0025] The intake air velocity u in has a value range of 0.5 to 2.5 m / s.

[0026] The above technical solutions are only one feasible technical solution of the present invention, and the protection scope of the present invention is not limited thereto. Those skilled in the art can reasonably adjust the specific design according to actual needs.

[0027] The above invention has the following advantages or beneficial effects:

[0028] (1) The optimization method for the microchannel heat sink structure of the present invention provides optimal operating conditions and structural parameters. The inlet velocity, inlet temperature, heat flux, channel height, fin width, channel width, fin height, etc. are all involved in the optimization, which can greatly reduce the temperature and pressure drop.

[0029] (2) The optimization method for the microchannel heat sink structure of the present invention provides a systematic optimization method for the microchannel heat sink structure. It is convenient to operate and has good consistency, and is easy to promote and apply. Applying the above method can provide a potential path for improving the heat transfer efficiency (reducing temperature and pressure drop) of the microchannel heat sink, and has good application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, the present invention and its features, shape, and advantages will become more obvious. The same reference numerals indicate the same parts in all the drawings. The drawings are not drawn to scale, and the focus is on showing the gist of the present invention.

[0031] Figure 1 It is the sequence diagram of the optimization method for the microchannel heat sink structure of the present invention;

[0032] Figure 2 It is the structural schematic diagram of the double-layer microchannel heat sink DL-MCHS;

[0033] Figure 3 It is the internal structural schematic diagram of DL-MCHS-I;

[0034] Figure 4 It is the internal structural schematic diagram of DL-MCHS-II;

[0035] Figure 5 、 6 Respectively, they are the curves of the bottom heat flux q against T ave 、ΔP;

[0036] Figure 7 、 8 Respectively, they are the curves of the inlet velocity u in against T ave 、ΔP;

[0037] Figure 9 、 10 Respectively, they are the curves of the inlet temperature T in against T ave 、ΔP;

[0038] Figure 11 、 12 Respectively, they are the curves of T ave 、ΔP against the Reynolds number Re under different channel heights;

[0039] Figure 13 and 14 are the curves of T ave and ΔP against the Reynolds number Re for different channel widths. Specific Embodiments

[0040] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but it is not intended to limit the present invention.

[0041] Embodiment 1

[0042] An optimization method for a microchannel heat sink structure, the steps of which are as Figure 1 shown and are specifically as follows:

[0043] (1) Determine all the structural categories applicable to the microchannel heat sink. For different structural categories, determine one by one the initial structural parameters of the microchannel heat sink belonging to that structural category. The initial structural parameters include the channel height H c , the fin width W d , the channel width W c and the fin height H d . According to the initial structural parameters and the possible structural features of the microchannel heat sink belonging to that structural category, construct models. Each possible structural feature corresponds to a constructed model, and one structural category corresponds to at least one structural feature;

[0044] (2) Perform CFD simulations on the models obtained in step (1), and change different working conditions (inlet velocity u in , inlet temperature T in and bottom heat flux q. The value range of the inlet velocity u in is 0.5 - 2.5 m / s, the value range of the inlet temperature T in is 298.15 - 338.15 K, and the value range of the bottom heat flux q is 100 - 500 W / cm 2 ), and simulate to obtain the performance parameters of the models;

[0045] (3) Select the model with the best heat dissipation performance from each structural category among all the models. The evaluation indicators of the heat dissipation performance include the maximum surface temperature T max , the average temperature T ave and the pressure loss ΔP, and determine the structural parameters to be optimized for each model;

[0046] (4) Reconstruct the corresponding models according to the structural parameters to be optimized determined in step (3);

[0047] (5) Perform CFD simulations on the models reconstructed in step (4), and change different working conditions (inlet velocity u in , inlet velocity u inThe value range of [] is 0.5 - 2.5 m / s), and the performance parameters of each model are obtained through simulation;

[0048] (6) Select the model with the best heat dissipation performance from the models reconstructed in step (4) according to the results obtained in step (5), and the optimal structural parameters can be obtained.

[0049] Take the double-layer microchannel heat sink DL-MCHS shown as an example, and simulate two heat sinks DL-MCHS-I with different structures (as shown in Figure 2 ) and DL-MCHS-II (as shown in Figure 3 ), and the initial structural parameters are the same (as shown in Figure 4 ); Figure 2

[0050] Simulate the above two models, change different working conditions (inlet velocity u in , inlet temperature T in and bottom heat flux q, the value range of inlet velocity u in is 0.5 - 2.5 m / s, the value range of inlet temperature T in is 298.15 - 338.15 K, and the value range of bottom heat flux q is 100 - 500 W / cm 2 ), and the performance parameters of the model are obtained through simulation (as shown in Figures 5 to 10 , Figure 5 , 6 is the curve graph of bottom heat flux q against T ave , ΔP, Figure 7 , 8 is the curve graph of inlet velocity u in against T ave , ΔP, Figure 9 , 10 is the curve graph of inlet temperature T in against T ave , ΔP);

[0051] Compare the heat dissipation performance of the two structures, and it is found that under any working condition, the average temperatures of the two structures are almost the same and the change is not obvious. Comparing the pressure drops, the pressure drop of DL-MCHS-II is significantly lower than that of the other structure and there is an obvious decrease. Therefore, select the DL-MCHS-II structure for subsequent structural parameter optimization to obtain the best heat dissipation model;

[0052] Select the channel width and channel height of this structure for structural parameter optimization. The channel width range is 0.5 - 0.9 mm, and the channel height range is 1 - 1.9 mm, with a span of 0.1 mm. Reconstruct the microchannel model according to the size range, and change different working conditions (inlet velocity u in , inlet velocity u inThe value range of Figures 11 to 14 is shown as Figure 11 and 12 are the curves of T ave , ΔP against the Reynolds number Re at different channel heights, Figure 13 and 14 are the curves of T ave , ΔP against the Reynolds number Re at different channel widths). Finally, the optimal structural parameters are obtained (after optimization, ΔP is reduced from 657.9 Pa to 521.2 Pa).

[0053] It is verified that the optimization method of the microchannel heat sink structure of the present invention provides the optimal operating conditions and structural parameters. The inlet velocity, inlet temperature, heat flux, channel height, fin width, channel width, fin height, etc. are all involved in the optimization, which can greatly reduce the temperature and pressure drop. The present invention provides a systematic optimization method for the microchannel heat sink structure, which is convenient to operate and has good consistency, and is easy to be popularized and applied. Applying the above method can provide a potential path for improving the heat transfer efficiency (reducing temperature and pressure drop) of the microchannel heat sink, and has good application prospects.

[0054] Those skilled in the art should understand that those skilled in the art can achieve variations in combination with the prior art and the above embodiments, which will not be elaborated here. Such variations do not affect the essence of the present invention and will not be elaborated here.

[0055] The preferred embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the above specific embodiments, and the equipment and structures not described in detail should be understood to be implemented in a common manner in the art; any person skilled in the art can make many possible changes and modifications to the technical solution of the present invention by using the methods and technical contents disclosed above without departing from the scope of the technical solution of the present invention, or modify it into an equivalent embodiment with equivalent changes, which does not affect the essence of the present invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the protection of the technical solution of the present invention.

Claims

1. A method for optimizing a microchannel heat sink structure, characterized in that: The following steps are involved: (1) determining all structural categories applicable to the microchannel heat sink, and for different structural categories, determining the initial structural parameters of the microchannel heat sink to which the structural category belongs one by one, and constructing a model based on the initial structural parameters and possible structural features of the microchannel heat sink to which the structural category belongs, wherein each possible structural feature has a corresponding model, and one structural category corresponds to at least one structural feature; (2) simulating the model obtained in step (1), changing different working conditions, and simulating to obtain the performance parameters of the model; (3) Select the model with the best heat dissipation performance in each structural category from all models, and determine the structural parameters to be optimized for each model; (4) Reconstructing the corresponding model according to the structural parameters to be optimized determined in step (3); (5) Simulating each model reconstructed in step (4), changing different working conditions, and simulating to obtain the performance parameters of each model; (6) According to the result obtained in step (5), the model with the best heat dissipation performance is selected from the models reconstructed in step (4), and the optimal structural parameters are obtained.

2. The method for optimizing a microchannel heat sink structure according to claim 1, characterized in that: The initial structural parameters include the channel height H c 、Fin width W d , channel width W c and fin height H d .

3. The method for optimizing a microchannel heat sink structure according to claim 1, characterized in that: The operating conditions in step (2) include the intake air velocity u in , Intake air temperature T in and bottom heat flux q; The intake air speed u in The value range is 0.5~2.5m / s, and the intake air temperature T in The value range of is 298.15~338.15K, and the value range of the bottom heat flux q is 100~500W / cm 2 .

4. The method for optimizing a microchannel heat sink structure according to claim 1, characterized in that: The evaluation index of the heat dissipation performance includes the maximum surface temperature T max , average temperature T ave and pressure loss ΔP.

5. The method for optimizing a microchannel heat sink structure according to claim 1, characterized in that: The structural parameter to be optimized is the channel height H c 、Fin width W d , channel width W c and fin height H d One or more of the following.

6. The method for optimizing a microchannel heat sink structure according to claim 1, characterized in that: The simulation is a CFD simulation.

7. The method for optimizing a microchannel heat sink structure according to claim 1, characterized in that: The operating condition in step (5) is the intake air velocity u in ; The intake air speed u in The value range is 0.5~2.5m / s.

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