CN102592016A - Engineering multiphysics coupling analysis method - Google Patents
Engineering multiphysics coupling analysis method Download PDFInfo
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Abstract
The invention discloses an engineering multiphysics coupling analysis method, which comprises the following steps: (1) acquiring data information related to load transfer in different physical field numerical models; (2) setting load transfer relations of different physical field numerical models, setting the solving sequence of physical field numerical models of different computer aided engineering (CAE) analysis systems, and setting load transfer, convergence and control laws; (3) performing load data conversion and transfer for different physical field numerical models in real time on the basis of load transfer relations in an iterative loop mode according to the set solving sequence; and (4) displaying calculation results in different physical models. According to the method, functions of the existing CAE software are used to the maximum extent, the existing CAE software is not required to be modified, research and development costs and software usage costs are saved, simultaneously the usability of coupling field analysis software is improved, so that the method has a positive effect on application and popularization of the engineering multiphysics analysis in industrial design and is beneficial to performance analysis and innovative design of complex industrial issues.
Description
Technical field
The invention belongs to the emulation field, particularly be applicable to characteristics of components, the performance in fields such as automobile, Aero-Space, boats and ships, heavy industry, railway locomotive, equipment manufacturing, electronics, biomedicine are carried out the method that the multiple physical field coupling Simulation is analyzed.
Background technology
In fields such as automobile, Aero-Space, boats and ships, heavy industry, railway locomotive, equipment manufacturing, electronics, biomedicines, need analyze the characteristic of equipment and parts, the engineering numerical analysis and the multiple physical field coupling Simulation of performance.Relate to electromagnetic field during such as the new-energy automobile motor rotation and give birth to heat, fluid heat radiation; Electromagnetic torque, rotor dynamics phenomenon; For guaranteeing the operation of motor safety reliable and effective rate ground; To the electromagnetic and mechanical power of motor, the analysis of loss and efficient, safety has just related to the interaction between electromagnetic field, rotor dynamics, fluid field, temperature field, the structural stress field.
At present a lot of CAE softwares have multiple physical field coupling analysis function in various degree, and its analysis principle can be divided into direct strong coupling method and stride two kinds of weak coupling implementation methods between the program.Strong coupling method wherein is to be unified in different physical field models under the same cae analysis software, and an integrated unified global matrix equation is found the solution simultaneously and upgraded all variablees of Fourier Series expansion technique; The at present representative strong coupling method processing stream-solid coupling analysis CAE software product that has comprises ADINA, INTESIM.The weak coupling disposal route of striding between the program wherein is that different CAE softwares is found the solution different physical field problems respectively; Find the solution structure problem like the ANSYS structure analysis software; Fluent software is found the solution the fluid problem; Data transfer between physical field/CAE software with find the solution flow process control through unified coupled interface system realization, like MpCCI, ANSYS-MFX.
The main limitation of existing strong coupling method be need be under same software integrated different physical models; Can't make full use of the function of existing business software; Simultaneously integrated global matrix conditional number is relatively poor, and the unknown number scale is unfavorable for the realization of concurrent technique efficiently greatly.And the data that existing weak coupling implementation method of striding between the program adopts or the mode of intelligence transmission are based on network information transmission technology (like the Socket technology); Simultaneously in distinct program inside synchronous points need be set, main limitation is: 1) need couple together the library file function that existing CAE software and coupled interface provide; 2) need the data of the needed certain format of increase coupled interface software to obtain and the deposit data function, need write respectively different coupled interfaces; 3) need under existing program, set synchronous points and insert corresponding data access function in synchronous points.More than working not only needs professional research staff's participation to accomplish, and has also increased use difficulty and technical support burden for the user simultaneously, and the result has caused striding the limitation of the coupling realization of different loads between the multiprogram.
Summary of the invention
The present invention is directed to the above-mentioned limitation that existing weak coupling implementation method of striding between the program exists, proposed an engineering multiple physical field coupling analytical method.The technological means that the present invention adopts is following:
A kind of engineering multiple physical field coupling analytical method is characterized in that may further comprise the steps:
Step 1: from the physical field numerical model of different cae analysis system, obtain the data message relevant with loading transfer;
Step 2: set the loading transfer relation between the physical field numerical model of different cae analysis system, set different cae analysis system the physical field numerical model find the solution order, and set loading transfer convergence control criterion;
Step 3: according to the order of setting of finding the solution, through the mode of iterative loop, to real-time carry out the load data conversion and transmit of physical field numerical model of different cae analysis system based on the loading transfer relation;
Step 4: in different physical field numerical models, show result of calculation.
The invention provides a kind of flexible, general, stride coupling tool platform between the CAE software easily; Can stride different cae analysis softwares and carry out flow process control, nonlinear iteration control, the loading transfer control of multiple physical field coupling analysis, accomplish complicated multiple physical field coupling analysis.With traditional strong coupling method and data transfer instrument Network Based and functions control method ratio; This method has been used the function of existing C AE software to greatest extent, need not carry out any transformation and new exploitation directly can be carried out many coupling analysis under this technology platform for the CAE software of existing IO interface.Not only practice thrift R&D costs, software use cost and improved the ease for use of coupled field analysis software simultaneously greatly; For the application of engineering multiple physical field analysis in industrial design certainly will play a positive role, help the performance evaluation and the innovative design of complex industrial problem.
Description of drawings
Fig. 1 is the process flow diagram of engineering multiple physical field coupling analytical method of the present invention.
Fig. 2 is the synoptic diagram of load data conversion of the present invention.
Fig. 3 is a fluid-solid coupled interface synoptic diagram under the coupled interface mesh generation mode different situations.
Fig. 4 is the synoptic diagram of mapping interpolation under the three-dimensional surface grid.
Fig. 5 is the heat-stress grid model of the screw rod problem of generation.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.
As shown in Figure 1, engineering multiple physical field coupling analytical method of the present invention may further comprise the steps:
Step 1: from the physical field numerical model of different cae analysis system, obtain the data message relevant with loading transfer.
Step 2: set the loading transfer relation between the physical field numerical model of different cae analysis system, set different cae analysis system the physical field numerical model find the solution order, and set loading transfer convergence control criterion.
Step 3: according to the order of setting of finding the solution, through the mode of iterative loop, to real-time carry out the load data conversion and transmit of physical field numerical model of different cae analysis system based on the loading transfer relation.
With reference to shown in Figure 2, the step of based on loading transfer relation carrying out load data conversion real-time to the physical field numerical model of different cae analysis system may further comprise the steps again:
1: the load data translation interface reads the load data of physical field numerical model 1 in the cae analysis system.
2: the load data translation interface shines upon and interpolation operation load data; The load data of physical field numerical model 1 is transformed on the grid of physical field numerical model 2 in another cae analysis system, and output is analyzed required load data form to physical field numerical model 2.
3: the load data on the grid that is transformed into physical field numerical model 2 is read in another cae analysis system, and this model is analyzed.
The present invention allows different physical field different at the mesh generation of coupled interface when handling coupled interface load or data transfer; As shown in Figure 3 (among Fig. 3; Interface gaps in the reality between the different physical field is zero) need mapping techniques and interpolation technique efficiently; For this reason, the present invention adopts Bucket Search method to seek efficient to improve, and on interpolation operation, adopts the linear interpolation mode based on the unit local coordinate simultaneously.
Should may further comprise the steps again based on the linear interpolation mode of unit local coordinate: find unit and the local coordinate value of impact point on the source item grid; Value according to each node of source item grid cell; And impact point adopts approach based on linear interpolation to try to achieve the numerical value of impact point in the local coordinate value of source item grid cell, and is as shown in Figure 4; Among Fig. 4, the frame zone A of dotted line institute is a target gridding, and solid line institute frame area B is the source item grid.
Because the convergence of interface transmitted load is the key that guarantees coupling process loading transfer precision, the present invention adopts the method that relaxes the factor to come the transmission speed of control load data, and this step is expressed as:
F
i+1＝F
i+α×(F
ext-F
i)
Wherein, F
I+1Be the load that the i+1 iteration step is delivered to the stand under load model, F
iBe the load that last iteration step i is delivered to the stand under load model, F
ExtBe that current up-to-date should applying outward carried, α relaxes the factor, and numerical value is between (0,1.0).Interface load convergence Rule of judgment is represented as follows:
||F
i+1-F
i||/||F
i||＜ε
Wherein, ε is a decimal of realizing appointment, || * || be vectorial mould.
Step 4: in different physical field numerical models, show result of calculation.Applying under the situation of boundary condition, analysis result is speed, stress, displacement, temperature or other values, and the form demonstration with cloud atlas, streamline, animation can show multiple drawing in different physical models.
Before the step 1, also can may further comprise the steps:
1: the mathematical model of setting up MODEL C AD form.Wherein the CAD formatted file is meant the three-dimensional model of setting up with CAD software.
2: carry out the mesh generation of finite element or limited bulk based on cad model, obtain grid model.This mesh generation can be accomplished completion under the CAE software that perhaps has mesh generation worker ability under the general mesh generation instrument.
3: grid model is imported to corresponding C AE analytic system set up corresponding physical model.Physical model refers to that real physical field through the reflection of this program in computing machine, comprises structure fields, fluid field, temperature field, electrostatic field, magnetic field, electric field, piezoelectric field etc.
The 4:CAE analytic system is set the analysis condition of physical field numerical model, sets material parameter, applies boundary condition, and the starting condition of set-up and calculated and output adjusting control etc. is accomplished the setting of physical field numerical model under each cae analysis system.
Through the analysis of thermal stress that the solid screw rod under the temperature loading effect is produced, illustrate the detailed process of above-mentioned analytical approach below:
Step1: open graphic user interface.
Step2: how much files that import the Step form.
Step3: generating mesh comprises step again:
1. establishment geometrical boundary condition;
2. subdivision grid, grid generation result shows as shown in Figure 5;
3. preservation file;
Step4: create physical model, comprise step again:
Step4.1: thermal model is set;
Under " Thermal " physical model
1. emulation setting;
2. importing grid assembly;
3. designating unit type;
4. add carrier material;
5. setting material properties;
6. apply boundary condition;
7. find the solution thermal model;
8. demonstration thermal result;
Step4.2: set the solid state physics model;
Under " Solid " environment
1. emulation is set;
2. importing grid assembly;
3. designating unit type;
4. add carrier material;
5. specified material characteristic;
6. conditions setting;
7. solid model is found the solution in test;
8. display result.
Step5: design temperature stress coupled problem may further comprise the steps again:
1. delete incoherent BCs;
2. setting coupling condition;
3. create the parallel group of finding the solution.
Step6: preserve and import and find the solution.
Step7: display result.
The invention provides a kind of flexible, general, stride coupling tool platform between the CAE software easily; Can stride different cae analysis softwares and carry out flow process control, nonlinear iteration control, the loading transfer control of multiple physical field coupling analysis, accomplish complicated multiple physical field coupling analysis.With traditional strong coupling method and data transfer instrument Network Based and functions control method ratio; This method has been used the function of existing C AE software to greatest extent, need not carry out any transformation and new exploitation directly can be carried out many coupling analysis under this technology platform for the CAE software of existing IO interface.Not only practice thrift R&D costs, software use cost and improved the ease for use of coupled field analysis software simultaneously greatly; For the application of engineering multiple physical field analysis in industrial design certainly will play a positive role, help the performance evaluation and the innovative design of complex industrial problem.
The above; Be merely the preferable embodiment of the present invention; But protection scope of the present invention is not limited thereto; Any technician who is familiar with the present technique field is equal to replacement or change according to technical scheme of the present invention and inventive concept thereof in the technical scope that the present invention discloses, all should be encompassed within protection scope of the present invention.
Claims (6)
1. engineering multiple physical field coupling analytical method is characterized in that may further comprise the steps:
Step 1: from the physical field numerical model of different cae analysis system, obtain the data message relevant with loading transfer;
Step 2: set the loading transfer relation between the physical field numerical model of different cae analysis system, set different cae analysis system the physical field numerical model find the solution order, and set loading transfer convergence control criterion;
Step 3: according to the order of setting of finding the solution, through the mode of iterative loop, to real-time carry out the load data conversion and transmit of physical field numerical model of different cae analysis system based on the loading transfer relation;
Step 4: in different physical field numerical models, show result of calculation.
2. according to the method for claim 1, it is characterized in that the real-time step of carrying out the load data conversion based on the loading transfer relation of the physical field numerical model of different cae analysis system may further comprise the steps again:
1: the load data translation interface reads the load data of physical field numerical model 1 in the cae analysis system;
2: the load data translation interface shines upon and interpolation operation load data; The load data of physical field numerical model 1 is transformed on the grid of physical field numerical model 2 in another cae analysis system, and output is analyzed required load data form to physical field numerical model 2;
3: the load data on the grid that is transformed into physical field numerical model 2 is read in another cae analysis system, and this model is analyzed.
3. according to the method for claim 2, it is characterized in that adopting the map operation of Bucket Search and based on the interpolation operation of the linear interpolation mode of unit local coordinate.
4. according to the method for claim 3; It is characterized in that may further comprise the steps again: find unit and the local coordinate value of impact point on the source item grid based on the linear interpolation mode of unit local coordinate; According to the value of each node of source item grid cell, and impact point adopts approach based on linear interpolation to try to achieve the numerical value of impact point in the local coordinate value of source item grid cell.
5. according to the method for claim 1, it is characterized in that adopting the method that relaxes the factor to come the transmission speed of control load data, be expressed as:
F
i+1＝F
i+α×(F
ext-F
i)
Wherein, F
I+1Be the load that the i+1 iteration step is delivered to the stand under load model, F
iBe the load that last iteration step i is delivered to the stand under load model, F
ExtBe that current up-to-date should applying outward carried, α relaxes the factor, and numerical value is between (0,1.0); Interface load convergence Rule of judgment is represented as follows:
||F
i+1-F
i||/||F
i||＜ε
Wherein, ε is a decimal of realizing appointment, || * || be vectorial mould.
6. according to the method for claim 1, it is characterized in that step 1 is before further comprising the steps of:
1: the mathematical model of setting up MODEL C AD form;
2: carry out the mesh generation of finite element or limited bulk based on cad model, obtain grid model;
3: grid model is imported to corresponding C AE analytic system set up corresponding physical model;
The 4:CAE analytic system is set the analysis condition of physical field numerical model, sets material parameter, applies boundary condition, and the starting condition of set-up and calculated and output adjusting control etc. is accomplished the setting of physical field numerical model under each cae analysis system.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020468A (en) * | 2012-12-26 | 2013-04-03 | 中山大学 | Nuclear thermal coupling computing method for nuclear reactor |
| CN103400010A (en) * | 2013-08-08 | 2013-11-20 | 英特工程仿真技术（大连）有限公司 | Permanent magnet synchronous motor temperature rise heat dissipation analysis method based on multi-field coupling technology |
| CN104063550A (en) * | 2014-07-02 | 2014-09-24 | 上海中仿计算机科技有限公司 | Multi-physics field CAE system based on cloud computing platform |
| CN104460776A (en) * | 2014-10-22 | 2015-03-25 | 北京航空航天大学 | Multi-physical field coupling environment simulation device |
| CN104537193A (en) * | 2015-01-21 | 2015-04-22 | 英特工程仿真技术（大连）有限公司 | System for realizing coupling analysis of strength of multi-physic field under unified platform |
| CN104809297A (en) * | 2015-04-30 | 2015-07-29 | 三峡大学 | Electromagnetic force density transferring method used among special-shaped grids in magnetic field-structure field coupling calculation |
| CN105893667A (en) * | 2016-03-30 | 2016-08-24 | 浙江大学 | Heterogeneous simulation data unified integrated visual method |
| CN106650002A (en) * | 2016-11-21 | 2017-05-10 | 哈尔滨工业大学 | Interface data transfer between different computing model and interpolation method |
| CN109766641A (en) * | 2018-11-30 | 2019-05-17 | 中国航空工业集团公司沈阳飞机设计研究所 | The multiple physical field CAE modeling method that knowledge based reuses |
| CN110555289A (en) * | 2019-09-27 | 2019-12-10 | 哈尔滨理工大学 | Cloud computing-based motor stator winding multi-physical field coupling computing platform and computing method |
| CN110765685A (en) * | 2019-10-18 | 2020-02-07 | 南方电网科学研究院有限责任公司 | Simulation method and device for multi-physical-field coupling of reactor and storage medium |
| CN111223185A (en) * | 2019-12-30 | 2020-06-02 | 杭州数孪科技有限公司 | Three-dimensional model grid unit information display method, device and electronic equipment |
| CN113515855A (en) * | 2021-06-23 | 2021-10-19 | 北京瑞莱智慧科技有限公司 | Determination method and device of seepage medium physical field model, computing equipment and medium |
| CN115526091A (en) * | 2022-11-22 | 2022-12-27 | 中国人民解放军国防科技大学 | Separated coupling numerical simulation method and device for multi-physical-field application |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6954725B2 (en) * | 2000-12-12 | 2005-10-11 | Fujitsu Limited | Multi-physics analysis method, method for setting analysis conditions therefor, and storage medium |
| CN101140461A (en) * | 2007-10-17 | 2008-03-12 | 天津大学 | Multiple physical states monitoring optimizing and remote synthetic diagnose intelligent numerical control system |
| CN101614635A (en) * | 2009-04-17 | 2009-12-30 | 中国科学院上海硅酸盐研究所 | Multiphysics fatigue property test macro and method of testing |
-
2011
- 2011-12-31 CN CN 201110460238 patent/CN102592016B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6954725B2 (en) * | 2000-12-12 | 2005-10-11 | Fujitsu Limited | Multi-physics analysis method, method for setting analysis conditions therefor, and storage medium |
| CN101140461A (en) * | 2007-10-17 | 2008-03-12 | 天津大学 | Multiple physical states monitoring optimizing and remote synthetic diagnose intelligent numerical control system |
| CN101614635A (en) * | 2009-04-17 | 2009-12-30 | 中国科学院上海硅酸盐研究所 | Multiphysics fatigue property test macro and method of testing |
Non-Patent Citations (2)
| Title |
|---|
| 刘振宇 等: "基于异构网格耦合的产品多物理场有限元数据集成与可视化仿真", 《机械工程学报》 * |
| 宋少云 等: "耦合场协同仿真中节点载荷插值的混合法", 《计算机仿真》 * |
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| CN103020468B (en) * | 2012-12-26 | 2016-01-20 | 中山大学 | Obtain the method for nuclear reactor thermal coupling |
| CN103020468A (en) * | 2012-12-26 | 2013-04-03 | 中山大学 | Nuclear thermal coupling computing method for nuclear reactor |
| CN103400010A (en) * | 2013-08-08 | 2013-11-20 | 英特工程仿真技术（大连）有限公司 | Permanent magnet synchronous motor temperature rise heat dissipation analysis method based on multi-field coupling technology |
| CN103400010B (en) * | 2013-08-08 | 2016-08-17 | 英特工程仿真技术（大连）有限公司 | A kind of permagnetic synchronous motor temperature rise analysis of heat transmission method based on multi-scenarios method technology |
| CN104063550A (en) * | 2014-07-02 | 2014-09-24 | 上海中仿计算机科技有限公司 | Multi-physics field CAE system based on cloud computing platform |
| CN104460776A (en) * | 2014-10-22 | 2015-03-25 | 北京航空航天大学 | Multi-physical field coupling environment simulation device |
| CN104460776B (en) * | 2014-10-22 | 2017-01-25 | 北京航空航天大学 | Multi-physical field coupling environment simulation device |
| CN104537193B (en) * | 2015-01-21 | 2017-12-29 | 英特工程仿真技术（大连）有限公司 | The system that multiple physical field power coupling analysis is realized under the unified platform |
| CN104537193A (en) * | 2015-01-21 | 2015-04-22 | 英特工程仿真技术（大连）有限公司 | System for realizing coupling analysis of strength of multi-physic field under unified platform |
| CN104809297A (en) * | 2015-04-30 | 2015-07-29 | 三峡大学 | Electromagnetic force density transferring method used among special-shaped grids in magnetic field-structure field coupling calculation |
| CN105893667A (en) * | 2016-03-30 | 2016-08-24 | 浙江大学 | Heterogeneous simulation data unified integrated visual method |
| CN106650002A (en) * | 2016-11-21 | 2017-05-10 | 哈尔滨工业大学 | Interface data transfer between different computing model and interpolation method |
| CN106650002B (en) * | 2016-11-21 | 2019-07-30 | 哈尔滨工业大学 | It is a kind of difference computation model between interface data transmitting and interpolation method |
| CN109766641A (en) * | 2018-11-30 | 2019-05-17 | 中国航空工业集团公司沈阳飞机设计研究所 | The multiple physical field CAE modeling method that knowledge based reuses |
| CN110555289A (en) * | 2019-09-27 | 2019-12-10 | 哈尔滨理工大学 | Cloud computing-based motor stator winding multi-physical field coupling computing platform and computing method |
| CN110555289B (en) * | 2019-09-27 | 2023-12-15 | 哈尔滨理工大学 | Motor stator winding multi-physical field coupling computing platform and computing method based on cloud computing |
| CN110765685A (en) * | 2019-10-18 | 2020-02-07 | 南方电网科学研究院有限责任公司 | Simulation method and device for multi-physical-field coupling of reactor and storage medium |
| CN111223185A (en) * | 2019-12-30 | 2020-06-02 | 杭州数孪科技有限公司 | Three-dimensional model grid unit information display method, device and electronic equipment |
| CN111223185B (en) * | 2019-12-30 | 2023-10-27 | 苏州数设科技有限公司 | Grid cell information display method of three-dimensional model, device and electronic equipment thereof |
| CN113515855A (en) * | 2021-06-23 | 2021-10-19 | 北京瑞莱智慧科技有限公司 | Determination method and device of seepage medium physical field model, computing equipment and medium |
| CN115526091A (en) * | 2022-11-22 | 2022-12-27 | 中国人民解放军国防科技大学 | Separated coupling numerical simulation method and device for multi-physical-field application |
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