CN113553668B - Electrical cabinet forward design optimization method - Google Patents
Electrical cabinet forward design optimization method Download PDFInfo
- Publication number
- CN113553668B CN113553668B CN202010326606.XA CN202010326606A CN113553668B CN 113553668 B CN113553668 B CN 113553668B CN 202010326606 A CN202010326606 A CN 202010326606A CN 113553668 B CN113553668 B CN 113553668B
- Authority
- CN
- China
- Prior art keywords
- optimization
- design
- cabinet body
- electrical cabinet
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- 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
-
- 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]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a forward design optimization method of an electrical cabinet body, which relates to the technical field of structural design of electrical cabinet bodies and is used for embedding structural simulation and optimization technology into front-end, middle-stage and later-stage checking of product design in a forward optimization design mode so as to obtain a cabinet body structure with higher light weight degree. According to the forward design optimization method for the electrical cabinet, the simulation optimization technology is embedded into the design front end, the rigidity of the whole cabinet is considered from the layout of the framework to the detailed structural model of the framework of the electrical cabinet, which is determined by taking simulation data as a reference, so that the maximum weight reduction is realized on the premise that the performance of the electrical cabinet meets the design use requirement, and the cabinet structure with higher light weight degree is obtained. Therefore, forward design of the electrical cabinet body can be realized, and the instruction effect of the simulation result on engineering practice is improved.
Description
Technical Field
The invention relates to the technical field of electrical cabinet structural design, in particular to a forward design optimization method for an electrical cabinet.
Background
Along with the continuous progress and the high-speed development of high-speed railways and urban rail transit, the weight-reducing requirements of equipment structures such as urban rail subways are higher and higher. On the premise of ensuring that the performances such as rigidity, strength and the like of the structural design are not reduced or even improved, the weight of the product is reduced as much as possible, and the method is a hot spot and a difficult point of the development of the current structural design.
At present, the design of the converter cabinet body is more dependent on experience of a designer, strength checking and optimization are performed through a structural simulation technology in the later stage, and the space can be optimized and the weight reduction degree is greatly limited because the design is basically completed. If the simulation optimization technology can be embedded into the design front end, the rigidity of the whole cabinet is considered from the layout of the framework to the condition that the shape and the thickness of the cross section of the beam are determined by taking simulation data as a reference, and the maximum weight reduction can be realized on the premise that the performance of the newly designed cabinet body meets the design use requirement. Forward design is carried out on the converter cabinet body by utilizing the technologies of force transmission path optimization, scheme design, detailed size optimization and the like, and the forward design is also a trend of cabinet body optimization design in the future. Therefore, a set of reasonable structural optimization flow which penetrates through the product design is a key factor for achieving the goal.
Disclosure of Invention
The invention provides a forward design optimization method of an electrical cabinet body, which is used for embedding structural simulation and optimization technology into front end, middle stage and later stage check of product design in a forward optimization design mode so as to obtain a cabinet body structure with higher light weight degree.
According to a first aspect of the invention, the invention provides a forward design optimization method for an electrical cabinet, comprising the following steps:
s10: according to the known external dimension, creating a solid block model of the electric cabinet body;
s20: performing topological optimization on the solid block model according to the use condition of the electric cabinet body, and obtaining an initial model of the electric cabinet body framework according to an optimization result;
s30: judging whether the initial model meets the rigidity requirement, if so, executing a step S40;
s40: respectively optimizing the initial model by adopting a size optimization method and a shape optimization method to obtain an optimized model of the electric cabinet body framework;
s50: determining a detailed structural model of the electrical cabinet body framework according to the optimization model, judging whether the detailed structural model meets the strength requirement, and if not, returning to the step S40; if yes, ending.
In one embodiment, step S20 includes the sub-steps of:
s21: determining an overall force transmission path optimization working condition according to the use working condition of the electrical cabinet body;
s22: determining an optimization three element, wherein the optimization three element comprises a design variable, a design constraint and an optimization target;
s23: performing topology optimization on the solid block model according to the overall force transmission path optimization working condition and the optimization three factors;
s24: according to the topology optimization result, an initial model of the electric cabinet body framework is obtained on the premise of given processing technology and processing cost.
In one embodiment, the integral force transfer path optimization condition is a static condition.
In one embodiment, the design variable is a design space volume unit, the design constraint is a volume fraction of less than 0.2, and the optimization objective is strain energy minimization.
In one embodiment, step S20 further includes:
s25: and determining the installation mode of the transverse and longitudinal structure installation point parts and the arrangement mode of the internal cavity in the initial model according to the function of the electric cabinet body.
In one embodiment, step S40 includes the sub-steps of:
s41: adopting a size optimization method to determine the upper limit and the lower limit of the size of the optimization component;
s42: and optimizing the beam section size and shape of the initial model by adopting a shape optimization method to obtain an optimized model of the electric cabinet body framework.
In one embodiment, in step S41, the optimization constraint is that under static conditions, the integrated stress is less than the yield strength, and the safety factor is 1.5.
In one embodiment, step S50 includes the sub-steps of:
s51: determining the arrangement mode of the connecting joints of the electrical cabinet body according to the sealing performance requirement index and the electromagnetic compatibility performance requirement index of the electrical cabinet body so as to obtain a fine structure model of the electrical cabinet body;
s52: judging whether the detailed structural model meets the strength requirement, if not, returning to the step S40; if yes, ending.
In one embodiment, in step S52, it is determined whether the detailed structural model meets the strength requirement under the impact condition and the random analysis condition.
In one embodiment, step S10 includes the sub-steps of:
s11: creating a physical block model of the electrical cabinet according to a given size;
s12: the transverse and longitudinal structural mounting point components are sized and mounted and functional boundaries to create transverse and longitudinal design areas, each as an independent design area, and the transverse and longitudinal structural mounting point component material overflows as an un-design area.
In addition, the invention also provides a storage medium, wherein the storage medium stores a program, and the program realizes the steps of the forward design optimization method of the electrical cabinet body when being executed.
In addition, the invention also provides a terminal device, which comprises:
a memory for storing a program;
and a processor for executing the program in the memory to implement the steps of the electrical cabinet forward design optimization method as described above.
Compared with the prior art, the invention has the advantages that: by embedding the simulation optimization technology into the design front end, considering the rigidity of the whole cabinet from the layout of the framework, and determining a detailed structural model of the framework of the electric cabinet body by taking simulation data as a reference, the maximum weight reduction is realized on the premise that the performance of the electric cabinet body meets the design use requirement, so that the cabinet body structure with higher light weight degree is obtained. Therefore, forward design of the electrical cabinet body can be realized, and the instruction effect of the simulation result on engineering practice is improved.
Drawings
The invention will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method of optimizing the forward design of an electrical cabinet in an embodiment of the invention;
fig. 2 is a block diagram of a method for optimizing the forward design of an electrical cabinet in an embodiment of the invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings.
As shown in figures 1 and 2, the invention provides a forward design optimization method of an electrical cabinet body, which embeds a simulation optimization technology into the front end of the design, considers the rigidity of the whole cabinet from the layout of an electrical cabinet body framework to determine the shape and thickness of the cross section of a beam by taking simulation data as a reference, thereby realizing maximum weight reduction on the premise of ensuring that the performance of a newly designed cabinet body meets the design use requirement so as to obtain a cabinet body structure with higher light weight degree. Therefore, the method is an optimization method for forward design of the electrical cabinet body.
Specifically, the forward design optimization method of the electrical cabinet body comprises the following steps:
the first step: according to the known external dimensions, a solid block model of the electrical cabinet is created.
First, the electrical cabinet size is determined for the given dimensions and installation parameters. A physical block model of the electrical cabinet is created. The finite element simulation analysis model of the electrical cabinet body can be created by utilizing professional preprocessing software such as Hypermesh and the like, and the physical block model of the electrical cabinet body with given length, width and height can be obtained.
Next, the mounting point positions of the electrical cabinet body are determined. Creating lateral and longitudinal design regions based on the size and mounting locations of lateral and longitudinal structural mounting point components (e.g., electrical devices) and functional boundaries, each lateral and longitudinal structure created is treated as an independent design region, while overflowing lateral and longitudinal structural mounting point component material as an un-design region (in the un-design region, the grid of the space portion occupied by the lateral and longitudinal structural mounting point components would be deleted to treat the grid around the lateral and longitudinal structural mounting point components as an un-design region, which is not the subject of optimization).
And secondly, performing topological optimization on the solid block model according to the use condition of the electric cabinet body, and obtaining an initial model of the electric cabinet body framework according to an optimization result. The initial model of the electric cabinet body framework directly influences the rigidity of the whole electric cabinet body, so that the electric cabinet body framework has larger rigidity on the premise of ensuring the electric cabinet body framework to take the lightest mass as a target through force transmission path analysis.
Firstly, according to the using working condition of the electric cabinet body, the optimizing working condition of the whole force transmission path is determined. Electrical cabinet strength analysis includes, but is not limited to, static strength analysis, impact, and random vibration analysis. The static load, the impact load and the random load are all transverse, longitudinal and vertical loads in macroscopic analysis, the load direction and the load size have great influence on the transmission path, but the load size is scaled to have no influence on the transmission path analysis of the structure, the impact, the random and the static load are consistent in comparison with the direction, and the static load working condition can reflect the stress characteristics of the impact and the random working condition, so that the static working condition is used for the whole transmission path optimization working condition.
Secondly, an optimization three-element is determined, wherein the optimization three-element comprises a design variable, a design constraint and an optimization target. The design variable is a design space body unit, the design constraint is that the volume fraction is smaller than 0.2, and the optimization target is that the strain energy is minimum.
And finally, performing topological optimization on the solid block model according to the overall force transmission path optimization working condition and the optimization three elements. According to the topology optimization result, an initial model of the electric cabinet body framework is obtained on the premise of given processing technology and processing cost.
Further, the installation manner of the transverse and longitudinal structure installation point parts and the arrangement manner of the internal chamber in the initial model are determined according to the functions (such as a sealing function, an electromagnetic interference preventing function and the like) of the electric cabinet body.
And thirdly, judging whether the initial model meets the rigidity requirement, if so, executing the fourth step to ensure that the initial model can meet the rigidity performance requirement.
And step four, optimizing the initial model by adopting a size optimization method and a shape optimization method respectively to obtain an optimized model of the electric cabinet body framework.
Firstly, determining an optimizing component by adopting a size optimizing method; the upper and lower limits of the dimensions of the component are optimized according to given process parameters and process flows. Detailed dimensional optimization is performed including, but not limited to, optimization of parameters such as component thickness, beam cross-sectional shape and dimensions.
The optimization constraint is that under the static working condition, the comprehensive stress is smaller than the yield strength. When the local stress concentration unit is not considered (the constraint unit can be combined with the nonlinear analysis result), the safety factor is 1.5.
It should be noted that, because of the calculation efficiency, the detailed optimization condition only considers the static condition, the impact and the random analysis as the subsequent verification.
And secondly, optimizing the beam section size and shape of the initial model by adopting a shape optimization method to obtain an optimized model of the electric cabinet body framework. Where both transverse and longitudinal structural mounting point components, such as electrical devices, are considered to be in contact with the beam, there is a conflict with shape optimization techniques if binding is directly through rigid units during modeling, where the rib 3 units may be used instead of the rib rigid units.
Fifthly, determining a detailed structural model of the electric cabinet body framework according to the optimization model, judging whether the detailed structural model meets the strength requirement, and if not, returning to the step S40; if yes, ending.
First, a detailed design of the main force transfer structure of the electrical cabinet is determined. And determining the arrangement mode of the connecting joints of the electrical cabinet body according to the sealing performance requirement index and the electromagnetic compatibility performance requirement index of the electrical cabinet body so as to obtain a fine structure model of the electrical cabinet body.
Secondly, judging whether the detailed structural model meets the strength requirement, if not, returning to the step S40; if so, the design is ended and frozen. For example, it is determined whether the detailed structural model meets the strength requirement under the impact condition and the random analysis condition.
In summary, the forward design optimization method of the electrical cabinet body is a structural optimization whole process which penetrates through the electrical cabinet body product design, and comprises early force transmission path analysis, middle-stage detailed size optimization, shape optimization, later strength check and the like. Solutions are proposed to the problems arising from the simultaneous use of rigid cells to simulate the contact and shape optimization techniques.
The invention relates to an electric cabinet such as a converter, a power supply cabinet body and a water tank cabinet.
In addition, the invention also provides a storage medium, wherein the storage medium stores a program, and the program is executed to realize the steps of the forward design optimization method of the electrical cabinet body.
The invention further provides a terminal device comprising a memory and a processor, wherein the memory is used for storing programs. The processor is used for executing the program in the memory to realize the steps of the forward design optimization method of the electrical cabinet.
While the invention has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the technical features mentioned in the respective embodiments may be combined in any manner as long as there is no structural conflict. The present invention is not limited to the specific embodiments disclosed herein, but encompasses all technical solutions falling within the scope of the claims.
Claims (8)
1. The forward design optimization method for the electrical cabinet body comprises the following steps of:
s10: according to the known external dimension, creating a solid block model of the electric cabinet body;
s20: performing topological optimization on the solid block model according to the use condition of the electric cabinet body, and obtaining an initial model of the electric cabinet body framework according to an optimization result;
s30: judging whether the initial model meets the rigidity requirement, if so, executing a step S40;
s40: respectively optimizing the initial model by adopting a size optimization method and a shape optimization method to obtain an optimized model of the electric cabinet body framework;
s50: determining a detailed structural model of the electrical cabinet body framework according to the optimization model, judging whether the detailed structural model meets the strength requirement, and if not, returning to the step S40; if yes, ending;
step S20 comprises the following sub-steps:
s21: determining an overall force transmission path optimization working condition according to the use working condition of the electrical cabinet body; the integral force transmission path optimizing working condition is a static working condition;
s22: determining an optimization three element, wherein the optimization three element comprises a design variable, a design constraint and an optimization target; the design variable is a design space body unit, the design constraint is that the volume fraction is smaller than 0.2, and the optimization target is that the strain energy is minimum;
s23: performing topology optimization on the solid block model according to the overall force transmission path optimization working condition and the optimization three factors;
s24: according to the topology optimization result, an initial model of the electric cabinet body skeleton is obtained on the premise of given processing technology and processing cost;
step S10 comprises the following sub-steps:
s11: creating a physical block model of the electrical cabinet according to a given size;
s12: creating a transverse and longitudinal design area according to the size and mounting positions of the transverse and longitudinal structure mounting point parts and the functional boundaries, taking each transverse and longitudinal structure as an independent design area, and taking overflow of the transverse and longitudinal structure mounting point parts as an un-design area; wherein, in the non-design area, the grid of the space portion occupied by the transverse and longitudinal structural mounting point parts is deleted to take the grid around the transverse and longitudinal structural mounting point parts as the non-design area, which is not the object to be optimized.
2. The electrical cabinet forward design optimization method according to claim 1, wherein step S20 further comprises:
s25: and determining the installation mode of the transverse and longitudinal structure installation point parts and the arrangement mode of the internal cavity in the initial model according to the function of the electric cabinet body.
3. The electrical cabinet forward design optimization method according to claim 1, wherein step S40 comprises the sub-steps of:
s41: adopting a size optimization method to determine the upper limit and the lower limit of the size of the optimization component;
s42: and optimizing the beam section size and shape of the initial model by adopting a shape optimization method to obtain an optimized model of the electric cabinet body framework.
4. The method for optimizing forward design of electrical cabinet according to claim 3, wherein in step S41, the optimization constraint is that under static working conditions, the comprehensive stress is less than the yield strength, and the safety factor is 1.5.
5. The electrical cabinet forward design optimization method according to claim 1, wherein step S50 comprises the sub-steps of:
s51: determining the arrangement mode of the connecting joints of the electrical cabinet body according to the sealing performance requirement index and the electromagnetic compatibility performance requirement index of the electrical cabinet body so as to obtain a fine structure model of the electrical cabinet body;
s52: judging whether the detailed structural model meets the strength requirement, if not, returning to the step S40; if yes, ending.
6. The method according to claim 5, wherein in step S52, it is determined whether the detailed structural model meets the strength requirement under the impact condition and the random analysis condition.
7. A storage medium, characterized in that the storage medium has stored therein a program which, when executed, realizes the steps of the electrical cabinet forward design optimization method according to any one of claims 1 to 6.
8. A terminal device, comprising:
a memory for storing a program;
a processor for executing a program in the memory to implement the steps of the electrical cabinet forward design optimization method according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010326606.XA CN113553668B (en) | 2020-04-23 | 2020-04-23 | Electrical cabinet forward design optimization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010326606.XA CN113553668B (en) | 2020-04-23 | 2020-04-23 | Electrical cabinet forward design optimization method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113553668A CN113553668A (en) | 2021-10-26 |
| CN113553668B true CN113553668B (en) | 2023-06-13 |
Family
ID=78129333
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010326606.XA Active CN113553668B (en) | 2020-04-23 | 2020-04-23 | Electrical cabinet forward design optimization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113553668B (en) |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102011006345A1 (en) * | 2011-03-29 | 2012-10-04 | Siemens Aktiengesellschaft | Modular multi-converter with reverse conducting power semiconductor switches |
| CN105184031B (en) * | 2015-11-04 | 2018-05-22 | 上海无线电设备研究所 | A kind of light-weight design method for the people's handle configurations that put together machines |
| CN107832570A (en) * | 2017-12-14 | 2018-03-23 | 重庆长安汽车股份有限公司 | Body structure lightweight optimization method |
| CN109063389B (en) * | 2018-09-28 | 2023-04-28 | 重庆长安汽车股份有限公司 | Automobile structure lightweight forward design method and system based on multi-performance constraint |
-
2020
- 2020-04-23 CN CN202010326606.XA patent/CN113553668B/en active Active
Non-Patent Citations (1)
| Title |
|---|
| 刘铮 ; 王翠 ; 彭永进 ; .优化开关频率的空间矢量调制算法.高电压技术.2008,(第06期),第125-130页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113553668A (en) | 2021-10-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106126849B (en) | Nonlinear topological optimization method for vehicle body welding spot arrangement | |
| CN106650045B (en) | A kind of second level inter-tank section Optimal Structure Designing and strength analysis method | |
| CN102945307A (en) | Automobile chassis key structural member structure optimization design method | |
| CN109933836A (en) | A kind of white body solder joint optimization placement method based on body performance constraint | |
| CN105183976A (en) | Method for carrying out finite element analysis on vehicle-mounted cabinet body | |
| CN113553668B (en) | Electrical cabinet forward design optimization method | |
| CN108520133A (en) | Automobile storage battery installing bracket strength analysis method | |
| CN111859733A (en) | Automobile exhaust system reliability optimization method based on ant colony algorithm | |
| Yang et al. | An adaptive multi-step varying-domain topology optimization method for spot weld design of automotive structures | |
| CN104484511A (en) | Simulation analysis based dynamic characteristic design method for robot structures | |
| CN111428435A (en) | Integrated circuit layout power consumption optimization method and device | |
| Deb et al. | Use of truncated finite element modeling for efficient design optimization of an automotive front end structure | |
| CN103886514B (en) | Power grid development assessment method with economical efficiency and security considered | |
| CN112100747A (en) | Vehicle body framework topology optimization method, device, equipment and medium | |
| Moroncini et al. | NVH structural optimization using beams and shells FE concept models in the early car development phase at BMW | |
| CN113361038A (en) | Converter lightweight method, system, server and computer readable storage medium | |
| CN111209701B (en) | Rail train body strength simulation method and device | |
| CN106777617A (en) | A kind of two grades of inter-tank section optimum structure design methods | |
| CN109344442B (en) | Battery box structure optimization design method | |
| CN113673125A (en) | Design method of connecting piece for assembled anti-collision guardrail | |
| Tajs-Zielinska et al. | Novel topology optimization techniques adapted to strengthening of civil structures suffering from the effects of material degradation | |
| CN104794302A (en) | Optimum design method for base structure of hand braking control mechanism | |
| Tahmasebinia | Finite element simulation of reinforced concrete structures under impact accident | |
| CN114186335B (en) | Optimal design method for automobile frame | |
| Zhang et al. | A practical design process to optimize fatigue performance for chassis components |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |