CN113505544A - Bicycle motion virtual numerical value wind tunnel system based on finite volume method - Google Patents
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Abstract
The invention discloses a bicycle motion virtual numerical wind tunnel system based on a finite volume method, which comprises the following steps: the importing component is used for importing a target geometric object in a preset format according to a first operation instruction of a user; the first parameter setting component is used for determining the environmental parameters and the boundary conditions corresponding to the target geometric objects according to a second operation instruction of a user; the second parameter setting component is used for carrying out grid cell division according to a third operation instruction of a user so as to determine a calculation domain; and the calculation component is used for carrying out numerical wind tunnel simulation according to the environmental parameters, the boundary conditions and the calculation domain to obtain a simulation result. The system adopts a self-adaptive Cartesian grid method to divide a calculation domain into grids, simultaneously adopts an immersion boundary method to solve the problem of poor convergence caused by boundary change in the movement process of a geometric object, adopts a global grid and a local encryption box mode, simplifies the grid processing flow and improves the calculation efficiency of the system.
Description
Technical Field
The invention relates to the technical field of numerical wind tunnels, in particular to a bicycle motion virtual numerical wind tunnel system based on a finite volume method.
Background
The numerical wind tunnel is a technology for analyzing a building system including physical phenomena such as Fluid flow, heat conduction and the like by performing numerical calculation through a computer on the basis of a Computational Fluid Dynamics (CFD) principle. The basic idea of CFD is: the calculation domain is scattered into a finite number of units, the physical quantity of the whole calculation domain is represented by a set of the units, and an algebraic equation system of the relation between the physical quantities on the units is established in a certain mode. And then solving the algebraic equation system under the given boundary condition to obtain the numerical solution of the whole calculation domain. And (3) establishing a proper model on a computer, giving boundary conditions meeting actual conditions, and performing solution calculation on the whole calculation domain just like performing a wind tunnel test on the computer.
However, the problem of poor convergence caused by the change of the boundary during the movement of the geometric object remains to be solved.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the invention aims to provide a bicycle movement virtual numerical wind tunnel system based on a finite volume method, which adopts a self-adaptive Cartesian grid method to divide a calculation domain into grids, adopts an immersion boundary method to solve the problem of poor convergence caused by boundary change in the movement process of a geometric object to be calculated, adopts a global grid and local encryption box mode to simplify the grid processing flow and improve the calculation efficiency of the system.
In order to achieve the above object, an embodiment of the present invention provides a bicycle motion virtual numerical wind tunnel system based on a finite volume method, including:
the importing component is used for importing a target geometric object in a preset format according to a first operation instruction of a user;
the first parameter setting component is used for determining the environmental parameters and boundary conditions corresponding to the target geometric object according to a second operation instruction of the user;
the second parameter setting component is used for carrying out grid cell division according to a third operation instruction of the user so as to determine a calculation domain; and
and the calculation component is used for carrying out numerical wind tunnel simulation according to the environmental parameters, the boundary conditions and the calculation domain to obtain a simulation result.
The invention discloses a bicycle motion virtual numerical wind tunnel system based on a finite volume method,
in addition, the bicycle motion virtual numerical wind tunnel system based on the finite volume method according to the above embodiment of the present invention may further have the following additional technical features:
further, in an embodiment of the present invention, the method further includes:
and the monitoring component is used for acquiring the coordinate information of the current selected position of the target geometric object according to the third operation instruction of the user so as to monitor the target geometric object in real time.
Further, in an embodiment of the present invention, the method further includes:
and the processing component is used for automatically extracting various types of data in the simulation result and carrying out visual output.
Further, in one embodiment of the present invention, the boundary condition includes:
the method comprises the following steps of (1) obtaining an inlet boundary condition, an outlet boundary condition and a wall surface boundary condition, wherein the inlet boundary condition comprises the speed, the pressure and the mass flow rate of fluid at the inlet boundary of the wind tunnel; the outlet boundary conditions comprise speed, pressure and free outflow at the outlet boundary of the wind tunnel; the wall boundary conditions include the roughness of different areas of the bottom wall.
Further, in one embodiment of the present invention, the environment parameters include: any one or more of a gravity parameter, material information of the target geometric object, a plurality of turbulence models, a plurality of wall functions, a wind tunnel type, an inlet position of a wind tunnel, an outlet position of the wind tunnel, a solver type, a solver discrete algorithm, a time step length, a solving step length, or an iteration number.
Further, in one embodiment of the present invention, wherein,
the plurality of turbulence models includes: a k-omega model, an SST k-omega turbulence model, a k-epsilon model, and an RNG k-epsilon model;
the plurality of wall functions includes: smooth wall functions, standard wall functions, scalable wall functions, and unbalanced wall functions;
the wind tunnel types include: an inflow wind tunnel and an outflow wind tunnel;
the solver discrete algorithm comprises: a first-order windward algorithm and a second-order windward algorithm.
Solver types include: steady state solution and transient solution.
Further, in an embodiment of the present invention, the preset format includes:
any one of obj, CATPArt, CATProduct, iam, ipt, prt, asm, x _ t, sldprt, sldasm, stl, igs, stp.
Further, in an embodiment of the present invention, the simulation result includes: velocity component profiles, concentration profiles, pressure profiles, turbulence profiles, axis concentrations along any horizontal or vertical line, and three-dimensional flow fields, concentration fields, pressure fields, temperature fields.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block diagram of a virtual numerical wind tunnel system for bicycle movement based on a finite volume method according to an embodiment of the present invention;
FIG. 2 is a schematic interface diagram of importing a geometric object according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an interface after importing a geometric object according to an embodiment of the invention;
FIG. 4 is a schematic diagram of an interface for calculating parameter settings, according to one embodiment of the invention;
FIG. 5 is an interface diagram of a grid parameter set according to one embodiment of the invention;
FIG. 6 is an interface diagram of a global grid parameter set according to one embodiment of the invention;
FIG. 7 is an interface diagram of a compute component according to one embodiment of the invention;
FIG. 8 is a schematic interface diagram of a monitoring assembly according to one embodiment of the present invention;
FIG. 9 is a schematic interface diagram of a processing component according to one embodiment of the invention;
FIG. 10 is a schematic interface diagram of a processing assembly according to another embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The virtual numerical wind tunnel system for bicycle movement based on the finite volume method, which is provided by the embodiment of the invention, is described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of a virtual numerical wind tunnel system for bicycle movement based on a finite volume method according to an embodiment of the present invention.
As shown in fig. 1, the virtual numerical wind tunnel system for bicycle movement based on finite volume method includes: an import component 100, a first parameter setting component 200, a second parameter setting component 300, and a compute component 400.
The import component 100 (import geometry) is configured to import a target geometric object in a preset format according to a first operation instruction of a user.
Further, in one embodiment of the present invention, the preset format includes: any one of obj, CATPArt, CATProduct, iam, ipt, prt, asm, x _ t, sldprt, sldasm, stl, igs, stp.
Specifically, according to the embodiment of the present application, geometric objects in formats of obj, catdart, CATProduct, iam, ipt, prt, asm, x _ t, slprt, slpsm, stl, igs, and stp may be imported, where a model unit is consistent with a modeling software unit, and after the import geometry is clicked, as shown in fig. 2, the system may locally browse files in a selected folder, and the model should meet requirements of no entity interference, good surface curvature transition, and the like, and after the geometry is imported, a user may view the geometry in an all-around manner through a mouse and a keyboard, and enter a next link after checking that the geometry is correct, and after the geometry is imported, as shown in fig. 3.
The first parameter setting component 200 is configured to determine an environmental parameter and a boundary condition corresponding to the target geometric object according to a second operation instruction of the user.
Further, in one embodiment of the present invention, the boundary conditions include: the method comprises the following steps of (1) obtaining an inlet boundary condition, an outlet boundary condition and a wall surface boundary condition, wherein the inlet boundary condition comprises the speed, the pressure and the mass flow rate of fluid at the wind tunnel inlet boundary; the outlet boundary conditions comprise speed, pressure and free outflow at the outlet boundary of the wind tunnel; the wall boundary conditions include the roughness of different areas of the bottom wall.
Further, in one embodiment of the present invention, the environmental parameters include: any one or more of gravity parameters, material information of the target geometric object, a plurality of turbulence models, a plurality of wall functions, a wind tunnel type, an inlet position of a wind tunnel, an outlet position of a wind tunnel, a solver type, a solver discrete algorithm, a time step length, a solving step length, or iteration times.
Further, in one embodiment of the present invention, wherein the plurality of turbulence models comprises: a k-omega model, an SST k-omega turbulence model, a k-epsilon model, and an RNG k-epsilon model; the plurality of wall functions includes: smooth wall functions, standard wall functions, scalable wall functions, and unbalanced wall functions; wind tunnel types include: an inflow wind tunnel and an outflow wind tunnel; the solver discrete algorithm comprises: a first-order windward algorithm and a second-order windward algorithm. Solver types include: steady state solution and transient solution.
Specifically, the setting interface of the first parameter setting component 200 (calculating parameter setting) may be as shown in fig. 4, where the gravity parameter is divided into three axial value settings, the formed vector direction is the gravity direction, and the magnitude value of the vector is the magnitude of the gravity value; the user can input the fluid material of the calculation domain by selecting the designated working medium name in the material library, and can also input the material information by self-defining; the turbulence model can be selected from 'none' and is regarded as laminar flow calculation, and other turbulence models comprise k-omega, SST k-omega, k-epsilon and RNG k-epsilon; the wall functions comprise smooth walls, Standard wall functions, Scalable wall functions and Non-equivalent wall functions, the wall roughness is considered in other functions except for the smooth walls, and after the user selects the wall functions, the roughness of each wall can be independently input during wall naming; the wind tunnel types comprise an internal flow wind tunnel and an external flow wind tunnel; the user can determine the positions of the outlet and inlet cross sections by inputting a coordinate range, and then appointing respective types and numerical values, wherein the inlet types comprise a speed inlet, a pressure inlet, a mass flow rate and inlet speed sizes of various coordinate points of the inlet cross sections by amplification of a table, and the outlet types comprise a pressure outlet, a speed outlet and free outflow; the solver selects two types including steady state solution and transient state solution, the steady state solution only needs to input the solution step number, and the transient state solution needs to input the time step length; solver algorithms include first order windward and second order windward.
The second parameter setting component 300 is configured to perform grid cell division according to a third operation instruction of the user to determine the calculation domain.
Specifically, a setting interface of the second parameter setting component 300 (mesh parameter setting) may be as shown in fig. 5, where the second parameter setting component 300 of the embodiment of the present application mainly performs mesh unit division on the calculation, and is mainly divided into two types, namely automatic mesh division and detailed division, to define a calculation domain, when a user selects an outflow wind tunnel, the calculation domain may be defined to automatically construct an external flow field calculation range, at this time, the calculation boundary is an open boundary, there is no boundary backflow, the user may control the size of the boundary through a coordinate range, after the size of the calculation domain is determined, the user may condition a mesh thickness slider, to control the size ratio of the mesh size of the calculation domain, if the mesh size cannot well embody the key features of the geometric body, the user may perform setting by entering the detailed parameters of the mesh, as shown in fig. 6, in the detailed setting of the mesh according to the direction of the coordinate system, the grid density in each direction is controlled, meanwhile, local features to be encrypted can be coated by various shapes of encryption boxes through constructing a grid encryption box, grid local encryption is carried out by setting the grid size of the encryption box, the grid encryption box can be constructed through modeling software and is guided in a process of guiding a geometric body, but the geometric body used for the encryption box cannot be used as a geometric calculation unit, a user can realize local through-flow plugging through grid local processing, and after the detailed setting of the grid is completed, the grid returns to a superior menu.
As shown in fig. 7, the calculation component 400 (solving calculation) is configured to perform numerical wind tunnel simulation according to the environmental parameters, the boundary conditions, and the calculation domain, so as to obtain a simulation result.
In one embodiment of the present invention, the simulation result includes: velocity component profiles, concentration profiles, pressure profiles, turbulence profiles, axis concentrations along any horizontal or vertical line, and three-dimensional flow fields, concentration fields, pressure fields, temperature fields.
Specifically, as shown in fig. 7, clicking the solving computing system to start running, displaying the solving progress below, and clicking the solving below can be switched to two states of pause and termination, and the central view area displays the activated real-time data of the monitor, and if the monitor is a cross section, the data is displayed as a cloud picture; the monitor is a line, the data is displayed as a curve, and a user can switch each monitoring picture. The residual monitoring picture is mainly used for checking the residual change in the calculation process and other iteration conditions of calculated amount. After the user enters the set saving menu, the information such as the saving interval time and the saving path in the calculation process can be saved. The variable function is selected to facilitate switching data presentation of other variables on the monitor during the calculation process, such as pressure, resistance coefficient, resistance, speed, and other variable switching. When the system finishes the iterative computation, the computation is automatically terminated,
further, in an embodiment of the present invention, the method further includes: and the monitoring component (is provided with a monitoring position) is used for acquiring the coordinate information of the current selected position of the target geometric object according to a third operation instruction of the user so as to monitor the target geometric object in real time.
Specifically, as shown in fig. 8, the monitoring component is mainly convenient for a user to check data changes of a concerned position in real time in a calculation result, the user can define a monitoring surface and a monitoring line by setting a coordinate range, the user can select a partial surface in order to conveniently set geometrical occlusion of a monitor process, and then click a button of a "hidden surface" and a button of a "hidden body" above an interface to hide the surface and the body. The defined surface system can be automatically named according to the sequence, a user can rename in the checking monitor function, the user can name the geometric surface in the current link, classification checking is convenient in post-processing, and meanwhile coordinate information of the current selected position can be checked through the coordinate obtaining function.
Further, in an embodiment of the present invention, the method further includes: and the processing component (post-processing) is used for automatically extracting various data in the simulation result and performing visual output.
Specifically, as shown in fig. 9, the processing component is mainly used for processing the output of the calculation result and data, the system automatically displays the cloud image of the cross section of the monitor 1 after single click processing, and the user can select different variables for display. As shown in fig. 10, after double-clicking the post-processing button, the system enters the detailed post-processing function module, the user can see each object defined before in the system, the user can select one of the objects, the right key selects variable attachment to complete a cloud picture, and meanwhile, the change of the monitor along the monitoring line can be checked by drawing the query condition below; and clicking a left variable button, so that the user can view the calculated variables of the system, and can also perform composite calculation by using the existing variables to form custom variables.
According to the bicycle movement virtual numerical wind tunnel system based on the finite volume method, provided by the embodiment of the invention, the system adopts a self-adaptive Cartesian grid method to divide a calculation domain into grids, simultaneously adopts an immersion boundary method to solve the problem of poor convergence caused by boundary change in the movement process of a geometrical object, adopts a global grid and a local encryption box mode to simplify the grid processing flow and improve the calculation efficiency of the system.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A bicycle motion virtual numerical wind tunnel system based on a finite volume method is characterized by comprising the following components:
the importing component is used for importing a target geometric object in a preset format according to a first operation instruction of a user;
the first parameter setting component is used for determining the environmental parameters and boundary conditions corresponding to the target geometric object according to a second operation instruction of the user;
the second parameter setting component is used for carrying out grid cell division according to a third operation instruction of the user so as to determine a calculation domain; and
and the calculation component is used for carrying out numerical wind tunnel simulation according to the environmental parameters, the boundary conditions and the calculation domain to obtain a simulation result.
2. The system of claim 1, further comprising:
and the monitoring component is used for acquiring the coordinate information of the current selected position of the target geometric object according to the third operation instruction of the user so as to monitor the target geometric object in real time.
3. The system of claim 1, further comprising:
and the processing component is used for automatically extracting various types of data in the simulation result and carrying out visual output.
4. The system of claim 1, wherein the boundary conditions comprise:
the method comprises the following steps of (1) obtaining an inlet boundary condition, an outlet boundary condition and a wall surface boundary condition, wherein the inlet boundary condition comprises the speed, the pressure and the mass flow rate of fluid at the inlet boundary of the wind tunnel; the outlet boundary conditions comprise speed, pressure and free outflow at the outlet boundary of the wind tunnel; the wall boundary conditions include the roughness of different areas of the bottom wall.
5. The system of claim 1, wherein the environmental parameters comprise: any one or more of a gravity parameter, material information of the target geometric object, a plurality of turbulence models, a plurality of wall functions, a wind tunnel type, an inlet position of a wind tunnel, an outlet position of the wind tunnel, a solver type, a solver discrete algorithm, a time step length, a solving step length, or an iteration number.
6. The system of claim 5, wherein,
the plurality of turbulence models includes: a k-omega model, an SST k-omega turbulence model, a k-epsilon model, and an RNG k-epsilon model;
the plurality of wall functions includes: smooth wall functions, standard wall functions, scalable wall functions, and unbalanced wall functions;
the wind tunnel types include: an inflow wind tunnel and an outflow wind tunnel;
the solver discrete algorithm comprises: a first-order windward algorithm and a second-order windward algorithm.
Solver types include: steady state solution and transient solution.
7. The system of claim 1, wherein the preset format comprises:
any one of obj, CATPArt, CATProduct, iam, ipt, prt, asm, x _ t, sldprt, sldasm, stl, igs, stp.
8. The system of claim 1, wherein the simulation results comprise: velocity component profiles, concentration profiles, pressure profiles, turbulence profiles, axis concentrations along any horizontal or vertical line, and three-dimensional flow fields, concentration fields, pressure fields, temperature fields.
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| CN113822001A (en) * | 2021-11-22 | 2021-12-21 | 中国飞机强度研究所 | Airflow design method for open type blowing simulation system of sealed laboratory |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113822001A (en) * | 2021-11-22 | 2021-12-21 | 中国飞机强度研究所 | Airflow design method for open type blowing simulation system of sealed laboratory |
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