CN110826191A - System wind resistance characteristic simulation method - Google Patents
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Abstract
The invention provides a system wind resistance characteristic simulation method which comprises the following steps: acquiring the required air volume of electronic equipment with an internal fan, and estimating the number of system fans to be installed; acquiring a system thermal analysis model, inputting the estimated number of system fans into the system thermal analysis model, and setting other analysis parameters of the system thermal analysis model; wherein, the analysis parameters at least comprise inner fan performance parameters, wind resistance parameters of wind resistance devices and system fan performance parameters; setting one of the maximum flow and the maximum static pressure in the performance parameters of the fan of the system as a fixed value, and carrying out parametric setting on the other parameter; determining a series of system fan working points based on the parameterized analysis and calculation of the set system thermal analysis model, and drawing a system wind resistance characteristic curve; the invention is beneficial to carrying out effective heat management on products, can shorten the development period of the products, reduce the research and development cost and greatly improve the one-time passing rate of the heat dissipation of a prototype.
Description
Technical Field
The invention belongs to the technical field of electronic equipment systems, and particularly relates to a system wind resistance characteristic simulation method.
Background
In the thermal design process, especially the optimization design process of electronic products, the waterproof structure of the air inlet and the air outlet or the wind resistance of a certain part needs to be optimized. The current common simulation method is a wind tunnel simulation method, namely, different wind speed boundary conditions are sequentially set at one end of a simulation wind tunnel, and wind resistance values under all wind speed conditions are obtained through statistics.
For electronic equipment without an inner fan, a method of setting relevant parameters such as speed/flow, pressure and the like at an air inlet or an air outlet can be adopted in the conventional CFD simulation, the system wind resistance values of the cabinet system at different flow rates/flows are obtained through simulation, and the wind resistance curve of the system can be obtained through multiple groups of wind speeds/flows and wind resistance values.
When the system has the inner fan except the system fan, the wind resistance curve of the system when the inner fan works cannot be obtained by the method. In the patent and the related literature, there is no system wind resistance characteristic simulation method for the in-band fan system, which brings great inconvenience to the accurate model selection of the fan of the electronic equipment system.
Under the condition that the wind resistance of the system of the type can not be obtained at present, the common method is as follows: estimating the air quantity required by the system according to the whole heat loss in the equipment of the system, and further carrying out fan type selection according to the required air quantity of 1.5 or 2 times. The fan model selection method under the condition of uncertain system resistance is difficult to succeed at one time, so that multi-wheel fan model selection and CFD simulation are carried out to determine a proper system fan. The workload of fan model selection and system thermal simulation is increased, the time cost is increased, and a proper fan is difficult to find in a short time.
Disclosure of Invention
The invention mainly provides an electronic equipment system with an inner fan, on the premise that the structures of other parts except the system fan are kept unchanged and the ventilation area of the system fan is kept unchanged, the invention obtains a plurality of working points of the system by adding a certain number of system fans with different wind resistance characteristics in CFD simulation of different systems of the equipment, and the wind resistance characteristic system curve of the electronic equipment can be drawn by a plurality of system fan working points according to the characteristic that the working points of the system fans fall on the wind resistance characteristic curve of the system.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method for simulating the wind resistance characteristics of a system,
acquiring the required air volume of electronic equipment with an internal fan, and estimating the number of system fans to be installed;
acquiring a system thermal analysis model, inputting the estimated number of system fans into the system thermal analysis model, and setting other analysis parameters of the system thermal analysis model; wherein, the analysis parameters at least comprise inner fan performance parameters, wind resistance parameters of wind resistance devices and system fan performance parameters;
setting one of the maximum flow and the maximum static pressure in the performance parameters of the fan of the system as a fixed value, and carrying out parametric setting on the other parameter;
and determining a series of system fan working points based on the parameterized analysis and calculation of the set system thermal analysis model, and drawing a system wind resistance characteristic curve.
Preferably, the system thermal analysis model is subjected to grid division based on the estimated number of the system fans of the set system thermal analysis model and the analysis parameters;
performing trial operation on the grid division to obtain an analysis result;
judging whether the simulation result has independence with the grid or not based on the analysis result obtained by the grid trial operation;
and responding to the simulation result which is irrelevant to the grid, and carrying out parameterization setting on the system fan.
Preferably, the local refinement of the grid is performed in response to the simulation result being related to the grid, the grid is adjusted according to the convergence condition, and the refinement of the grid is continued until the simulation result is not affected.
Preferably, in a simulation environment with a single system fan, a wind resistance characteristic curve of the system is drawn according to a plurality of working points of the system;
in a simulation environment with two or more system fans, the connection mode of the system fans is judged.
Preferably, in response to the parallel connection state that a plurality of system fans are in the same air duct, the average working air pressure of each system fan is determined, the working air volume of each system fan is determined, and a wind resistance characteristic curve of the system is drawn according to a plurality of working points of the system;
responding to the parallel connection state of a plurality of system fans in different air channels, switching to the parallel connection state of a single system fan or a plurality of system fans in the same air channel according to the condition of each air channel, and drawing a wind resistance characteristic curve of the system according to a plurality of working points of the system;
preferably, the working air pressure of each system fan is determined in response to the serial connection state of a plurality of system fans in the same air duct, the working air volume of each system fan is determined, and a wind resistance characteristic curve of the system is drawn according to a plurality of working points of the system; or the like, or, alternatively,
and (4) using any fan as a system fan, and judging whether the system wind resistance of the selected system fan is in accordance with the expectation or not by using the remaining fans as inner fans.
Preferably, in response to the system wind resistance of the selected system fan meeting expectations, determining a wind resistance characteristic curve of the system at multiple working points in the state;
and responding to the fact that the system wind resistance of the selected system fan is not in accordance with the expectation, namely, the system fan is re-appointed, and whether the system wind resistance of the selected new system fan is in accordance with the expectation is continuously judged.
Preferably, the system fans in response to the same air channel are connected in series and in parallel at the same time, namely the outermost fans are connected in parallel, the rest fans are inner fans, the air quantity required by the system is determined, and a wind resistance characteristic curve of the parallel system is drawn according to a plurality of working points of the system;
responding to the fact that the system fans with different air channels are connected in series and in parallel, according to the condition of each air channel, switching to the state that a single system fan, a plurality of system fans are connected in parallel in the same air channel, a plurality of system fans are connected in series in the same air channel and a plurality of system fans are connected in series and in parallel in the same air channel, and drawing a characteristic curve of the wind resistance of the system according to a plurality of working points of the system.
Compared with the prior art, the invention has the following beneficial effects:
1. the blank of the existing wind resistance simulation method of the electronic equipment system with the internal fan is made up, so that the dependence on the fan type selection of the equipment system can be realized;
2. the invention is used for simulating the wind resistance of the system in the early stage of product development, is beneficial to carrying out effective heat management on products, can shorten the product development period, reduce the research and development cost and greatly improve the one-time pass rate of heat dissipation of a prototype.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a schematic diagram of a model A for validating some embodiments of the invention;
FIG. 2 is a system work point diagram illustrating different maximum air volumes for model A system fans, according to some embodiments of the present disclosure;
FIG. 3 is a graph illustrating performance of a system fan selected for model A according to some embodiments of the invention;
FIG. 4 is a block diagram illustrating thermal analysis cross-sectional temperature profiles of inlet and outlet ports of a model A according to some embodiments of the present disclosure;
FIG. 5 is a graph illustrating air inlet distribution temperature curves for a test module of a model A prototype according to some embodiments of the present disclosure;
FIG. 6(1) is a test right lower module air outlet distribution point temperature curve of a model A machine according to some embodiments of the present invention;
FIG. 6(2) is a test right upper module air outlet distribution point temperature curve of a model A prototype according to some embodiments of the invention;
FIG. 6(3) is a graph showing the distribution temperature of the air outlet of the left middle module in the model A test according to some embodiments of the invention;
fig. 7 is a flow chart illustrating an implementation according to some embodiments of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
estimating the effective ventilation area of the fan under the condition of determining an air inlet and an air outlet in CFD simulation of an in-band fan electronic equipment system with a single system fan; modeling and parameter setting are carried out in CFD simulation software by using a 3D structural model of the electronic equipment, related filter cotton, module wind resistance data, a PQ curve of an internal fan and other parameters, wherein the system fan can be given by referring to parameters of the diameters of the similar fans or can be given by estimation; dividing the grid of the model, if the system is more complex, locally refining the grid by using a blocking method, adjusting the grid according to the convergence condition, trying to operate until a residual error curve converges, and continuously refining the grid until no influence is caused on a simulation result; setting one of the maximum flow and the maximum static pressure in the performance parameters of the fan of the system as a fixed value, and carrying out parametric setting on the other parameter to give a series of parameter settings; analyzing and calculating a series of parameter setting schemes to obtain a series of system fan working points; and (4) sorting the data of each working point and drawing a wind resistance characteristic curve of the system.
Example 2:
in CFD simulation of an in-band fan electronic equipment system with multiple parallel system fans, under the condition of determining air inlets and air outlets, estimating the effective ventilation area of the fans and the number of the system fans to be installed; modeling and parameter setting are carried out in CFD simulation software by using a 3D structural model of the electronic equipment, related filter cotton, module wind resistance data, a PQ curve of an internal fan and other parameters, wherein system fan parameters can be given by referring to parameters of the similar fan diameter or can be given by prediction; dividing the grid of the model, if the system is more complex, carrying out local grid refinement by a blocking method, adjusting the grid according to the convergence condition, trial operation until a residual error curve is converged, and continuously refining the grid until no influence is caused on a simulation result; setting one of the maximum flow and the maximum static pressure in the performance parameters of the fan of the system as a fixed value, and carrying out parametric setting on the other parameter to give a series of parameter settings; analyzing and calculating a series of parameters to obtain a series of system fan working points; taking the average working air pressure and the total working air volume of a single system fan as the working points of the system fans of the air duct; and (4) sorting the data of each working point and drawing a wind resistance characteristic curve of the system.
Example 3:
in CFD simulation of an in-band fan electronic equipment system with multiple system fans connected in series, under the condition of determining air inlets and air outlets, estimating the effective ventilation area of the fans and the number of the fans of the system to be installed; the method comprises the steps that parameters such as a 3D structural model of electronic equipment, relevant filter cotton, module wind resistance data and a PQ curve of an inner fan are modeled and set in CFD simulation software, in addition, the outermost fan is regarded as a system fan, other fans are regarded as inner fans, the inner fan required by the system is appointed according to a working point after the air quantity required by the system is simply calculated, and the selected system fan parameters can be given by referring to parameters of similar fan diameters or can be estimated; dividing the grid of the model, if the system is more complex, carrying out local grid refinement by a blocking method, adjusting the grid according to the convergence condition, trial operation until a residual error curve is converged, and continuously refining the grid until no influence is caused on a simulation result; setting one of the maximum flow and the maximum static pressure in the performance parameters of the fan of the system as a fixed value, and carrying out parametric setting on the other parameter to give a series of parameter settings; analyzing and calculating a series of parameters to obtain a series of system fan working points; and (4) finishing the working point data of each system fan and drawing a system wind resistance characteristic curve.
Example 4:
in CFD simulation of an in-band fan electronic equipment system with multiple system fans in series and parallel connection, under the condition of determining air inlets and air outlets, estimating the effective ventilation area of the fans and the quantity of the fans of the installation system; the method comprises the steps that parameters such as a 3D structural model of electronic equipment, relevant filter cotton, module wind resistance data and a PQ curve of an inner fan are modeled and set in CFD simulation software, in addition, the outermost fan is regarded as a system fan, other fans are regarded as inner fans, the inner fan required by the system is appointed according to a working point after the air quantity required by the system is simply calculated, and the selected system fan parameters can be given by referring to parameters of similar fan diameters or can be estimated; dividing the grid of the model, if the system is more complex, carrying out local grid refinement by a blocking method, adjusting the grid according to the convergence condition, trial operation until a residual error curve is converged, and continuously refining the grid until no influence is caused on a simulation result; setting one of the maximum flow and the maximum static pressure in the performance parameters of the fan of the system as a fixed value, and carrying out parametric setting on the other parameter to give a series of parameter settings; analyzing and calculating a series of parameters to obtain a series of system fan working points; taking the average working air pressure and the total working air volume of a single system fan as the working points of the system fans of the air duct; and (4) sorting the data of each working point and drawing a wind resistance characteristic curve of the system.
For the above 4 examples: embodiment 2 is directed to parallel air ducts, and embodiments 1 and 3 are special cases in which the number of parallel fans is 1, and embodiment 4 can be regarded as the parallel relation of outermost fans, and in short, the above air ducts can all obtain a system wind resistance curve according to the parallel connection of multiple fans through appropriate simplification.
In connection with the above embodiments, the following verification can be made: taking a charging pile A with a plurality of parallel system fans and in-band fans as an example, selecting the system fans of the same type in the same simulation analysis according to actual conditions, and verifying the influence of the parameter setting of the selected system fans on the wind resistance characteristic of the system through CFD simulation on the premise that the structures of other parts except the system fans are unchanged and the ventilation area of the system fans is unchanged; then, the system fan is selected according to the system wind resistance simulation results of the embodiments 1 to 4 and is brought into the system.
Fill electric pile A structural schematic and as shown in FIG. 1: the system air duct adopts an air draft mode, and 6 fan system fans are arranged; 6 rectifier modules are arranged in the air conditioner, each module is provided with 3 internal fans, and the system comprises 18 internal fans; the wind shield separates the electric control side from the charging module side, and the electric control side naturally dissipates heat.
The part verifies that the set fan performance parameters adopt a method of taking the maximum air volume as a fixed value and the maximum static pressure as a variable (a method of taking the maximum static pressure as a fixed value and the maximum flow as a variable can also be adopted, and the result rule is consistent), the flow is divided into three types, namely:
① maximum flow rate 900m3/h and maximum static pressure 10, 50, 80, 100, 150, 200, 250, 300, 350, 400, 500, 600, 700, 800 and 1000Pa respectively, parameterizing by software aiming at electronic thermal simulation, and carrying out common simulation to give the system working point of the above 15 fan parameter settings, specifically shown in the figure;
② maximum flow 2880m3/h, maximum static pressure 10, 20, 40, 60, 80, 100, 130, 160, 200, 240, 280, 320, 360, 400, 450, 500, 600 and 700Pa, parameterizing and simulating the system working point giving the 18 fan parameter settings;
③ maximum flow rate 5400m3/h and maximum static pressure 10, 30, 80, 100, 150, 200, 250, 300, 350, 400, 500, 600 and 700Pa respectively, and the system operating point of the above 14 fan parameter sets is simulated through parameterization.
Taking the same maximum flow as a group of fan working points to make a system fan working point diagram, as shown in fig. 2: wherein③ series operating points;is an ② series working point
① series of working points, comparing the three series of working points, considering the analysis error, the three series of working points are considered to be approximately coincident, therefore, the performance of the fan can be obtainedThe energy parameter setting has negligible influence on the wind resistance characteristic curve of the system.
Selecting a system fan according to the wind resistance curve of the system, and carrying out thermal coupling simulation on the system:
① the main heat dissipating device is a rectifier module, and the average working point of the system fan is required to be flow 1886m3/h and wind pressure ≧ 65.1Pa according to the wind resistance characteristic curve of the system corresponding to the module demand wind volume provided by the module manufacturer;
② determining 6 systems to be installed based on ① results and system configuration, the performance curve of the selected fan is shown in FIG. 3;
③ substituting the fan parameters into the system model to perform thermal-flow coupling simulation calculation, wherein the simulation result at an ambient temperature of 50 ℃ is that the average working point of the system fan is 1906m3/h and 65.3Pa, which meets the ① requirement, the average temperature of the air inlet of the rectification module of the key component is 51.7 ℃, the average section temperature of the air outlet of the module is 68.8 ℃, the temperature of the air inlet of the module is 1.7 ℃, the average temperature difference between the front and the back of the module is 17.1 ℃, and the section temperatures of the front and the back of the module are shown in.
And (3) experimental verification:
① referring to fig. 5-6, the temperature rise test of the prototype shows that the stable environment temperature is 60.8 deg.C, the average temperature of 4 points distributed at the module air inlet is 63.1 deg.C, the temperature rise of the module air inlet is 2.3 deg.C, the average temperature of the test points is 80.4 deg.C, and the average temperature difference between the front and the back of the module is 17.3 deg.C.
② comparing the experiment with the simulation, the temperature rise of the air inlet is 0.5 deg.C higher than the simulation temperature, and the temperature difference between the front and back of the module is 0.2 deg.C higher than the simulation temperature difference.
③ summarizing temperature test and simulation comparison, according with analysis error requirements, the rationality of the embodiments 1-4 is verified, and meanwhile, the rationality of fan type selection and the system wind resistance simulation method of the in-band fan electronic equipment provided by the invention are also verified laterally.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A system wind resistance characteristic simulation method is characterized in that
Acquiring the required air volume of electronic equipment with an internal fan, and estimating the number of system fans to be installed;
acquiring a system thermal analysis model, inputting the estimated number of system fans into the system thermal analysis model, and setting other analysis parameters of the system thermal analysis model; wherein, the analysis parameters at least comprise inner fan performance parameters, wind resistance parameters of wind resistance devices and system fan performance parameters;
setting one of the maximum flow and the maximum static pressure in the performance parameters of the fan of the system as a fixed value, and carrying out parametric setting on the other parameter;
and determining a series of system fan working points based on the parameterized analysis and calculation of the set system thermal analysis model, and drawing a system wind resistance characteristic curve.
2. The system wind resistance characteristic simulation method according to claim 1, wherein:
based on the estimated number of the system fans of the set system thermal analysis model and the analysis parameters, carrying out grid division on the system thermal analysis model;
performing trial operation on the grid division to obtain an analysis result;
judging whether the simulation result has independence with the grid or not based on the analysis result obtained by the grid trial operation;
and responding to the simulation result which is irrelevant to the grid, and carrying out parameterization setting on the system fan.
3. The system wind resistance characteristic simulation method according to claim 2, wherein:
and responding to the simulation result related to the grid, locally refining the grid, adjusting the grid according to the convergence condition, and continuously refining the grid until the simulation result is not influenced.
4. The system wind resistance characteristic simulation method according to claim 1, wherein:
in a simulation environment with a single system fan, a wind resistance characteristic curve of the system is drawn according to a plurality of working points of the system;
in a simulation environment with two or more system fans, the connection mode of the system fans is judged.
5. The system wind resistance characteristic simulation method according to claim 4, wherein:
responding to the parallel connection state of a plurality of system fans in the same air duct, determining the average working air pressure of each system fan, determining the working air quantity of each system fan, and drawing a wind resistance characteristic curve of the system according to a plurality of working points of the system;
responding to the parallel state that a plurality of system fans are in different air channels, switching to the parallel state that a single system fan or a plurality of system fans are in the same air channel according to the condition of each air channel, and drawing a wind resistance characteristic curve of the system according to a plurality of working points of the system.
6. The system wind resistance characteristic simulation method according to claim 4, wherein:
responding to the serial connection state of a plurality of system fans in the same air duct, determining the working air pressure of each system fan, determining the working air quantity of each system fan, and drawing a wind resistance characteristic curve of the system according to a plurality of working points of the system; or the like, or, alternatively,
and (4) using any fan as a system fan, and judging whether the system wind resistance of the selected system fan is in accordance with the expectation or not by using the remaining fans as inner fans.
7. The system wind resistance characteristic simulation method according to claim 6, wherein:
in response to that the system wind resistance of the selected system fan is in accordance with expectation, determining a wind resistance characteristic curve of multiple working points of the system in the state;
and responding to the fact that the system wind resistance of the selected system fan is not in accordance with the expectation, namely, the system fan is re-appointed, and whether the system wind resistance of the selected new system fan is in accordance with the expectation is continuously judged.
8. The system wind resistance characteristic simulation method according to claim 4, wherein:
responding to the fact that the system fans of the same air channel are connected in series and in parallel, namely the outermost fans are considered to be connected in parallel, the rest fans are inner fans, determining the air quantity required by the system, and drawing a wind resistance characteristic curve of the parallel system according to a plurality of working points of the system;
responding to the fact that the system fans with different air channels are connected in series and in parallel, according to the condition of each air channel, switching to the state that a single system fan, a plurality of system fans are connected in parallel in the same air channel, a plurality of system fans are connected in series in the same air channel and a plurality of system fans are connected in series and in parallel in the same air channel, and drawing a characteristic curve of the wind resistance of the system according to a plurality of working points of the system.
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|---|---|---|---|---|
| CN115062562A (en) * | 2022-08-11 | 2022-09-16 | 锦浪科技股份有限公司 | Design method of air cooling system of power supply equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1423114A (en) * | 2001-12-03 | 2003-06-11 | 上海贝尔有限公司 | Virtual measuring method for determining characteristic curve of air duct for electronic equipment |
| CN106849161A (en) * | 2017-02-09 | 2017-06-13 | 国网冀北电力有限公司张家口供电公司 | Analysis method and device that straight drive blower influences on transmission system subsynchronous resonance |
-
2019
- 2019-10-15 CN CN201910975644.5A patent/CN110826191A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1423114A (en) * | 2001-12-03 | 2003-06-11 | 上海贝尔有限公司 | Virtual measuring method for determining characteristic curve of air duct for electronic equipment |
| CN106849161A (en) * | 2017-02-09 | 2017-06-13 | 国网冀北电力有限公司张家口供电公司 | Analysis method and device that straight drive blower influences on transmission system subsynchronous resonance |
Non-Patent Citations (1)
| Title |
|---|
| 李风新 等: "风机在加固计算机中的应用与研究" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115062562A (en) * | 2022-08-11 | 2022-09-16 | 锦浪科技股份有限公司 | Design method of air cooling system of power supply equipment |
| CN115062562B (en) * | 2022-08-11 | 2022-11-04 | 锦浪科技股份有限公司 | Design method of air cooling system of power supply equipment |
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