CN113221422A - Fluid simulation method based on nonlinear fluid data information processing technology - Google Patents
Fluid simulation method based on nonlinear fluid data information processing technology Download PDFInfo
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- CN113221422A CN113221422A CN202110541631.4A CN202110541631A CN113221422A CN 113221422 A CN113221422 A CN 113221422A CN 202110541631 A CN202110541631 A CN 202110541631A CN 113221422 A CN113221422 A CN 113221422A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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Abstract
The invention provides a fluid simulation method based on a nonlinear fluid data information processing technology, which comprises the following steps: step (1): establishing a geometric model of a solving area, and carrying out mesh generation and boundary condition setting on the model; guiding the drawn grid into FLUENT, checking the grid and adjusting the size proportion of the grid; step (2): importing an MHD program module in a user-defined mode, compiling a UDF macro function and importing a dynamic link library to complete secondary development; and (3): selecting a solver and a solving method, and loading an energy equation; selecting a basic equation to be solved; and (4): adding a user-defined scalar equation; physical properties of the specified material; specifying boundary conditions and adjusting control parameters of a solution; and (5): initializing a flow field, and starting an iterative solution process; post-processing the calculation result; and (6): the model or mesh is modified and the above calculation steps are repeated until the set convergence criterion is met. The method has the advantages of simple solution, accurate calculation and intuitive result; the accuracy of the simulation result is improved, and the improvement on the aspects of simulation speed and numerical stability is realized.
Description
Technical Field
The invention relates to the field of large scale, in particular to a fluid simulation method based on a nonlinear fluid data information processing technology.
Background
Data is a form of expression for facts, concepts, or instructions that may be processed by human or automated means. After the data is interpreted and given a certain meaning, it becomes information. The data processing is the collection, storage, retrieval, processing, transformation and transmission of data. The basic purpose of data processing is to extract and derive valuable, meaningful data for certain people from large, possibly chaotic, unintelligible amounts of data. Data processing is the basic link of system engineering and automatic control. Data processing is throughout various fields of social production and social life. The development of data processing technology and the breadth and depth of its application have greatly influenced the progress of human society development.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a fluid simulation method based on nonlinear fluid data information processing technology to solve the problems in the background art.
The technical problem solved by the invention is realized by adopting the following technical scheme: the fluid simulation method based on the nonlinear fluid data information processing technology comprises the following steps:
step (1): establishing a geometric model of a solving area, and carrying out mesh generation and boundary condition setting on the model; guiding the drawn grid into FLUENT, checking the grid and adjusting the size proportion of the grid;
step (2): importing an MHD program module in a user-defined mode, compiling a UDF macro function and importing a dynamic link library to complete secondary development;
and (3): selecting a solver and a solving method, and loading an energy equation; selecting a basic equation to be solved;
and (4): adding a user-defined scalar equation; physical properties of the specified material; specifying boundary conditions and adjusting control parameters of a solution;
and (5): initializing a flow field, and starting an iterative solution process; post-processing the calculation result;
and (6): the model or mesh is modified and the above calculation steps are repeated until the set convergence criterion is met.
In the step (1), finite element mesh subdivision is carried out on the fluid, and the conventional finite element software, Ansys software is adopted.
In the step (2), the MHD program module selects a FLUENT self-contained module.
In the step (3), the solver includes a lagrangian solver and an euler solver.
In the step (3), the solving method includes an uncoupled solving method, a coupled implicit solving method and a coupled explicit solving method.
Compared with the prior art, the invention has the beneficial effects that: the method has the advantages of simple solution, accurate calculation and intuitive result; the accuracy of the simulation result is improved, and the improvement on the aspects of simulation speed and numerical stability is realized.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below.
Example 1
The fluid simulation method based on the nonlinear fluid data information processing technology comprises the following steps:
step (1): establishing a geometric model of a solving area, and carrying out mesh generation and boundary condition setting on the model; guiding the drawn grid into FLUENT, checking the grid and adjusting the size proportion of the grid;
step (2): importing an MHD program module in a user-defined mode, compiling a UDF macro function and importing a dynamic link library to complete secondary development;
and (3): selecting a solver and a solving method, and loading an energy equation; selecting a basic equation to be solved;
and (4): adding a user-defined scalar equation; physical properties of the specified material; specifying boundary conditions and adjusting control parameters of a solution;
and (5): initializing a flow field, and starting an iterative solution process; post-processing the calculation result;
and (6): the model or mesh is modified and the above calculation steps are repeated until the set convergence criterion is met.
In the step (1), finite element mesh subdivision is carried out on the fluid, and the conventional finite element software, Ansys software is adopted. In the step (2), the MHD program module selects a FLUENT self-contained module.
Example 2
The fluid simulation method based on the nonlinear fluid data information processing technology comprises the following steps:
step (1): establishing a geometric model of a solving area, and carrying out mesh generation and boundary condition setting on the model; guiding the drawn grid into FLUENT, checking the grid and adjusting the size proportion of the grid;
step (2): importing an MHD program module in a user-defined mode, compiling a UDF macro function and importing a dynamic link library to complete secondary development;
and (3): selecting a solver and a solving method, and loading an energy equation; selecting a basic equation to be solved;
and (4): adding a user-defined scalar equation; physical properties of the specified material; specifying boundary conditions and adjusting control parameters of a solution;
and (5): initializing a flow field, and starting an iterative solution process; post-processing the calculation result;
and (6): the model or mesh is modified and the above calculation steps are repeated until the set convergence criterion is met. In the step (3), the solver includes a lagrangian solver and an euler solver. In the step (3), the solving method includes an uncoupled solving method, a coupled implicit solving method and a coupled explicit solving method.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. The fluid simulation method based on the nonlinear fluid data information processing technology is characterized by comprising the following steps: the method comprises the following steps:
step (1): establishing a geometric model of a solving area, and carrying out mesh generation and boundary condition setting on the model; guiding the drawn grid into FLUENT, checking the grid and adjusting the size proportion of the grid;
step (2): importing an MHD program module in a user-defined mode, compiling a UDF macro function and importing a dynamic link library to complete secondary development;
and (3): selecting a solver and a solving method, and loading an energy equation; selecting a basic equation to be solved;
and (4): adding a user-defined scalar equation; physical properties of the specified material; specifying boundary conditions and adjusting control parameters of a solution;
and (5): initializing a flow field, and starting an iterative solution process; post-processing the calculation result;
and (6): the model or mesh is modified and the above calculation steps are repeated until the set convergence criterion is met.
2. The fluid simulation method based on the nonlinear fluid data information processing technology according to claim 1, characterized in that: in the step (1), finite element mesh subdivision is carried out on the fluid, and the conventional finite element software, Ansys software is adopted.
3. The fluid simulation method based on the nonlinear fluid data information processing technology according to claim 1, characterized in that: in the step (2), the MHD program module selects a FLUENT self-contained module.
4. The fluid simulation method based on the nonlinear fluid data information processing technology according to claim 1, characterized in that: in the step (3), the solver includes a lagrangian solver and an euler solver.
5. The fluid simulation method based on the nonlinear fluid data information processing technology according to claim 1, characterized in that: in the step (3), the solving method includes an uncoupled solving method, a coupled implicit solving method and a coupled explicit solving method.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114388075A (en) * | 2021-12-10 | 2022-04-22 | 华南理工大学 | Simulation calculation method for simulating natural gas hydrate generation distribution situation based on Fluent |
| CN116611370A (en) * | 2023-07-19 | 2023-08-18 | 东方空间技术(山东)有限公司 | Simulation analysis method and device for launching pad diversion model and computing equipment |
| CN116643734A (en) * | 2023-07-27 | 2023-08-25 | 北京云庐科技有限公司 | Method and system for generating machine executable finite element program codes of multiple physical fields |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104317985A (en) * | 2014-09-19 | 2015-01-28 | 大连理工大学 | Fluid simulation method based on inter-belt finite element and Lagrange coordinate |
| CN109858192A (en) * | 2019-03-15 | 2019-06-07 | 中国人民解放军陆军装甲兵学院 | Numerical simulation calculation method based on FLUENT MHD module |
| CN110569479A (en) * | 2019-10-09 | 2019-12-13 | 上海脉拓信息科技有限公司 | Data information processing method for nonlinear fluid |
-
2021
- 2021-05-18 CN CN202110541631.4A patent/CN113221422A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104317985A (en) * | 2014-09-19 | 2015-01-28 | 大连理工大学 | Fluid simulation method based on inter-belt finite element and Lagrange coordinate |
| CN109858192A (en) * | 2019-03-15 | 2019-06-07 | 中国人民解放军陆军装甲兵学院 | Numerical simulation calculation method based on FLUENT MHD module |
| CN110569479A (en) * | 2019-10-09 | 2019-12-13 | 上海脉拓信息科技有限公司 | Data information processing method for nonlinear fluid |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114388075A (en) * | 2021-12-10 | 2022-04-22 | 华南理工大学 | Simulation calculation method for simulating natural gas hydrate generation distribution situation based on Fluent |
| CN114388075B (en) * | 2021-12-10 | 2024-03-29 | 华南理工大学 | Simulation calculation method for simulating natural gas hydrate generation distribution situation based on Fluent |
| CN116611370A (en) * | 2023-07-19 | 2023-08-18 | 东方空间技术(山东)有限公司 | Simulation analysis method and device for launching pad diversion model and computing equipment |
| CN116611370B (en) * | 2023-07-19 | 2023-09-19 | 东方空间技术(山东)有限公司 | Simulation analysis method and device for launching pad diversion model and computing equipment |
| CN116643734A (en) * | 2023-07-27 | 2023-08-25 | 北京云庐科技有限公司 | Method and system for generating machine executable finite element program codes of multiple physical fields |
| CN116643734B (en) * | 2023-07-27 | 2024-05-31 | 北京云庐科技有限公司 | Method and system for generating machine executable finite element program codes of multiple physical fields |
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Application publication date: 20210806 |