CN113553668A - Forward design optimization method for electric cabinet - Google Patents
Forward design optimization method for electric cabinet Download PDFInfo
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- CN113553668A CN113553668A CN202010326606.XA CN202010326606A CN113553668A CN 113553668 A CN113553668 A CN 113553668A CN 202010326606 A CN202010326606 A CN 202010326606A CN 113553668 A CN113553668 A CN 113553668A
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Abstract
The invention relates to a forward design optimization method for an electric cabinet, relates to the technical field of structural design of electric cabinets, and is used for embedding structural simulation and optimization technologies into front-end, middle-stage and later-stage checking of product design through a forward optimization design mode so as to obtain a cabinet structure with high light weight degree. According to the method for optimizing the forward design of the electric cabinet, the simulation optimization technology is embedded into the front end of the design, the rigidity of the whole cabinet is considered from the layout of the framework, and the detailed structural model of the framework of the electric cabinet is determined by taking simulation data as reference, so that the weight is reduced to the maximum extent on the premise that the performance of the electric cabinet meets the design and use requirements, and the cabinet structure with high light weight degree is obtained. Therefore, the forward design of the electric cabinet body can be realized, and the guidance effect of the simulation result on engineering practice is improved.
Description
Technical Field
The invention relates to the technical field of structural design of an electric cabinet, in particular to a forward design optimization method for an electric cabinet.
Background
With the continuous progress and high-speed development of high-speed railways and urban rail transit, the weight reduction requirement of equipment structures such as urban rail subways is higher and higher. How to reduce the weight of the product as much as possible on the premise of ensuring that the performances such as structural design rigidity, strength and the like are not reduced or even improved is a hotspot and difficulty in the development of the current structural design.
At present, the design of a converter cabinet body is more dependent on the experience of designers, and the strength is checked and optimized through a structure simulation technology in the later period. If the simulation optimization technology can be embedded into the front end of the design, the rigidity of the whole cabinet is considered from the layout of the framework, and the shape and the thickness of the beam section are determined by taking simulation data as reference, so that the weight can be reduced to the maximum extent on the premise that the performance of the newly designed cabinet body meets the design and use requirements. The converter cabinet body is positively designed by utilizing the technologies of force transmission path optimization, scheme design, detailed size optimization and the like, and the design trend of the future cabinet body optimization is also the trend. Therefore, a reasonable set of structural optimization processes through product design is a key factor for achieving the goal.
Disclosure of Invention
The invention provides a forward design optimization method for an electric cabinet, which is used for embedding a structure simulation and optimization technology into front-end, middle-stage and later-stage checking of product design through a forward optimization design mode so as to obtain a cabinet structure with higher light weight degree.
According to a first aspect of the present invention, there is provided a method for optimizing the forward design of an electrical cabinet, comprising the steps of:
s10: creating a solid block model of the electric cabinet according to the known external dimension;
s20: carrying out topology optimization on the entity 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: optimizing the initial model by adopting a size optimization method and a shape optimization method respectively to obtain an optimization model of the framework of the electric cabinet body;
s50: determining a detailed structure model of the electric cabinet framework according to the optimization model, judging whether the detailed structure model meets the strength requirement, and if not, returning to the step S40; if yes, the process is ended.
In one embodiment, step S20 includes the following sub-steps:
s21: determining an optimized working condition of an integral force transmission path according to the use working condition of the electric cabinet body;
s22: determining three optimization factors, wherein the three optimization factors comprise design variables, design constraints and optimization targets;
s23: carrying out topology optimization on the entity block model according to the three factors of the optimization working condition and the optimization of the whole force transmission path;
s24: and obtaining an initial model of the framework of the electric cabinet body on the premise of giving a machining process and machining cost according to the topological optimization result.
In one embodiment, the overall force transfer path is optimized to a static condition.
In one embodiment, the design variables are design space volume elements, the design constraints are volume fractions less than 0.2, and the optimization objective is minimum strain energy.
In one embodiment, step S20 further includes:
s25: and determining the installation modes of the transverse and longitudinal structure installation point components and the arrangement mode of the internal chamber in the initial model according to the functions of the electric cabinet body.
In one embodiment, step S40 includes the following sub-steps:
s41: determining an optimized component and the upper limit and the lower limit of the size of the optimized component by adopting a size optimization method;
s42: and optimizing the beam section size and the beam section shape of the initial model by adopting a shape optimization method to obtain an optimized model of the electric cabinet framework.
In one embodiment, in step S41, the optimization constraints are that the combined stress is less than the yield strength under the static condition, and the safety factor is 1.5.
In one embodiment, step S50 includes the following sub-steps:
s51: determining the arrangement mode of a connecting joint of the electric cabinet body according to the sealing performance requirement index and the electromagnetic compatibility requirement index of the electric cabinet body so as to obtain a fine structure model of the electric cabinet body;
s52: judging whether the detailed structure model meets the strength requirement, if not, returning to the step S40; if yes, the process is ended.
In one embodiment, in step S52, it is determined whether the detailed structural model meets the strength requirement under the impact condition and the stochastic analysis condition.
In one embodiment, step S10 includes the following sub-steps:
s11: according to the given size, a solid block model of the electric cabinet body is created;
s12: creating a transverse longitudinal design area based on the size and location of the transverse and longitudinal structural mounting point members and functional boundaries, treating each of the transverse and longitudinal structures as a separate design area, and treating the transverse and longitudinal structural mounting point member material spillage as a non-design area.
Furthermore, the present invention also provides a storage medium having a program stored therein, which when executed implements the steps of the electrical cabinet forward design optimization method as described above.
In addition, the present invention also provides a terminal device, which includes:
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 as described above.
Compared with the prior art, the invention has the advantages that: by embedding the simulation optimization technology into the front end of the design, the rigidity of the whole cabinet is considered from the layout of the framework to the detailed structural model of the framework of the electric cabinet is determined by taking the simulation data as the reference, so that the weight reduction can be realized to the maximum extent on the premise that the performance of the electric cabinet meets the design and use requirements, and the cabinet structure with higher light weight degree is obtained. Therefore, the forward design of the electric cabinet body can be realized, and the guidance 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 design block diagram of a method for optimizing the forward design of an electrical cabinet according to an embodiment of the present invention.
Detailed Description
The invention will be further explained with reference to the drawings.
As shown in fig. 1 and 2, the present invention provides a method for optimizing the forward design of an electrical cabinet, which is implemented by embedding a simulation optimization technique into the front end of the design, starting from the layout of the framework of the electrical cabinet, considering the rigidity of the entire cabinet, and determining the shape and thickness of the beam section by using simulation data as a reference, so as to reduce the weight to the maximum extent on the premise of ensuring that the performance of the newly designed cabinet meets the design and use requirements, and to obtain a cabinet structure with a high degree of light weight. Therefore, the method is an optimization method for forward design of the electric cabinet.
Specifically, the method for optimizing the forward design of the electric cabinet body comprises the following steps:
the first step is as follows: from the known physical dimensions, a solid block model of the electrical cabinet is created.
First, the electrical cabinet size is determined for a given size and installation parameters. A solid block model of the electrical cabinet is created. A finite element simulation analysis model of the electric appliance cabinet body can be created by using professional preprocessing software such as Hypermesh and the like, and a solid block model of the electric appliance cabinet body with given length, width and height can be obtained.
Secondly, the mounting point position of the electric cabinet body is determined. Transverse and longitudinal design zones are created based on the size and mounting location and functional boundaries of transverse and longitudinal structural mounting point components (e.g., electrical devices), each of the transverse and longitudinal structures created as a separate design zone, while the transverse and longitudinal structural mounting point component material spills over as a non-design zone (in which the grid of the portion of space occupied by the transverse and longitudinal structural mounting point components is eliminated, such that the grid around the transverse and longitudinal structural mounting point components is treated as a non-design zone, which is not the subject of optimization).
And secondly, carrying out topology optimization on the entity block model according to the use condition of the electric cabinet, and obtaining an initial model of the electric cabinet framework according to an optimization result. The initial model of the electric cabinet framework directly influences the rigidity of the whole electric cabinet, so that the electric cabinet framework has higher rigidity on the premise of ensuring the electric cabinet framework to aim at the lightest weight through force transmission path analysis.
Firstly, determining the optimized working condition of the whole force transmission path according to the using working condition of the electric cabinet body. The 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 transverse, longitudinal and vertical loads in macroscopic analysis, the direction and the size of the load have great influence on a transmission path, but the proportional scaling of the size of the load does not influence the transmission path analysis of the structure, and the comparison directions of the impact load, the random load and the static load are consistent, the working condition of the static load can reflect the stress characteristics of the impact working condition and the random working condition, so that the optimized working condition of the whole transmission path uses the static working condition.
Secondly, three optimization factors are determined, wherein the three optimization factors comprise design variables, design constraints and optimization targets. Wherein the design variables are design space volume units, the design constraints are that the volume fraction is less than 0.2, and the optimization target is that the strain energy is minimum.
And finally, carrying out topology optimization on the entity block model according to the three factors of the optimization working condition and the optimization of the whole force transmission path. And obtaining an initial model of the framework of the electric cabinet body on the premise of giving a machining process and machining cost according to the topological optimization result.
Further, according to the functions (such as sealing function, electromagnetic interference prevention function and the like) of the electric cabinet body, the installation mode of the transverse and longitudinal structure installation point components and the arrangement mode of the internal chamber in the initial model are determined.
And thirdly, judging whether the initial model meets the rigidity requirement, and if so, executing the fourth step to ensure that the initial model can meet the rigidity performance requirement.
And fourthly, optimizing the initial model by adopting a size optimization method and a shape optimization method respectively to obtain an optimization model of the framework of the electric cabinet body.
Firstly, determining an optimized component by adopting a size optimization method; the upper and lower size limits of the part are optimized for a given process parameter and process flow. Detailed dimensional optimization is performed, including but not limited to optimization of parameters such as part thickness, beam cross-sectional shape and size.
Wherein, the optimization constraint is that under the static working condition, the comprehensive stress is less 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 the calculation efficiency problem is considered, the optimized working condition of the detailed size only considers the static working condition, and the impact and random analysis is used as the subsequent check verification.
And secondly, optimizing the beam section size and the beam section shape of the initial model by adopting a shape optimization method to obtain an optimized model of the electric cabinet framework. Wherein if the transverse and longitudinal structural mounting point components are considered to be in contact with the beam, such as electrical devices, there would be a conflict with shape optimization techniques if the binding was done directly through the rigid elements during the modeling process, and then the rigid elements could be replaced with RBE3 elements.
Fifthly, determining a detailed structure model of the electric cabinet framework according to the optimization model, judging whether the detailed structure model meets the strength requirement, and if not, returning to the step S40; if yes, the process is ended.
Firstly, the detailed design of the main force transmission structure of the electric cabinet body is determined. And determining the arrangement mode of the connecting joint of the electric cabinet body according to the sealing performance requirement index and the electromagnetic compatibility requirement index of the electric cabinet body so as to obtain a fine structure model of the electric cabinet body.
Secondly, judging whether the detailed structure model meets the strength requirement, if not, returning to the step S40; if so, then end and freeze the design. For example, whether the detailed structural model meets the strength requirement is judged under the impact working condition and the random analysis working condition.
In summary, the method for optimizing the forward design of the electrical cabinet according to the present invention is a structural optimization overall process through the electrical cabinet product design, and includes the steps of the analysis of the force transmission path in the early stage, the detailed size optimization in the middle stage, the shape optimization, the later strength check, and the like. The solution is provided for the problems of the contact simulation and the shape optimization technology by using the rigid unit at the same time.
It should be noted that the electrical cabinet described in the present invention refers to electrical cabinets such as a current transformer, a power supply cabinet, and a water tank cabinet.
Furthermore, the present invention also provides a storage medium, in which a program is stored, which when executed implements the steps of the electrical cabinet forward design optimization method as described above.
In addition, the invention also provides terminal equipment which comprises a memory and a processor, wherein the memory is used for storing the program. The processor is configured to execute the program in the memory to implement the steps of the electrical cabinet forward design optimization method as described above.
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 embodiments can be combined in any way as long as there is no structural conflict. It is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (12)
1. A forward design optimization method for an electric cabinet is characterized by comprising the following steps:
s10: creating a solid block model of the electric cabinet according to the known external dimension;
s20: carrying out topology optimization on the entity 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: optimizing the initial model by adopting a size optimization method and a shape optimization method respectively to obtain an optimization model of the framework of the electric cabinet body;
s50: determining a detailed structure model of the electric cabinet framework according to the optimization model, judging whether the detailed structure model meets the strength requirement, and if not, returning to the step S40; if yes, the process is ended.
2. The method for optimizing the forward design of an electrical cabinet according to claim 1, wherein step S20 includes the sub-steps of:
s21: determining an optimized working condition of an integral force transmission path according to the use working condition of the electric cabinet body;
s22: determining three optimization factors, wherein the three optimization factors comprise design variables, design constraints and optimization targets;
s23: carrying out topology optimization on the entity block model according to the three factors of the optimization working condition and the optimization of the whole force transmission path;
s24: and obtaining an initial model of the framework of the electric cabinet body on the premise of giving a machining process and machining cost according to the topological optimization result.
3. The method for optimizing forward design of an electrical cabinet according to claim 2, wherein the overall force transmission path optimization operating condition is a static operating condition.
4. The method of optimizing a forward design of an electrical cabinet according to claim 2 or 3, wherein the design variables are design space volume units, the design constraints are volume fractions less than 0.2, and the optimization objective is minimum strain energy.
5. The method for optimizing the forward design of the electric cabinet according to claim 2 or 3, wherein the step S20 further comprises:
s25: and determining the installation modes of the transverse and longitudinal structure installation point components and the arrangement mode of the internal chamber in the initial model according to the functions of the electric cabinet body.
6. The method for optimizing the forward design of an electrical cabinet according to any one of claims 1 to 3, wherein step S40 includes the sub-steps of:
s41: determining an optimized component and the upper limit and the lower limit of the size of the optimized component by adopting a size optimization method;
s42: and optimizing the beam section size and the beam section shape of the initial model by adopting a shape optimization method to obtain an optimized model of the electric cabinet framework.
7. The method for optimizing the forward design of the electric cabinet according to claim 6, wherein in the step S41, the optimization constraint is that under a static working condition, the comprehensive stress is less than the yield strength, and the safety factor is 1.5.
8. The method for optimizing the forward design of an electrical cabinet according to any one of claims 1 to 3, wherein step S50 includes the sub-steps of:
s51: determining the arrangement mode of a connecting joint of the electric cabinet body according to the sealing performance requirement index and the electromagnetic compatibility requirement index of the electric cabinet body so as to obtain a fine structure model of the electric cabinet body;
s52: judging whether the detailed structure model meets the strength requirement, if not, returning to the step S40; if yes, the process is ended.
9. The method for optimizing the forward design of the electric cabinet according to claim 8, wherein in step S52, it is determined whether the detailed structural model meets the strength requirement under the impact condition and the stochastic analysis condition.
10. The method for optimizing the forward design of an electrical cabinet according to any one of claims 1 to 3, wherein step S10 includes the sub-steps of:
s11: according to the given size, a solid block model of the electric cabinet body is created;
s12: creating a transverse longitudinal design area based on the size and location of the transverse and longitudinal structural mounting point members and functional boundaries, treating each of the transverse and longitudinal structures as a separate design area, and treating the transverse and longitudinal structural mounting point member material spillage as a non-design area.
11. A storage medium, characterized in that it stores a program which, when executed, implements the steps of the method of optimizing the forward design of an electrical cabinet according to any one of claims 1 to 10.
12. 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 of any one of claims 1-10.
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| US20140362628A1 (en) * | 2011-03-29 | 2014-12-11 | Siemens Aktiengesellschaft | Modular multiple converter comprising reverse conductive power semiconductor switches |
| CN105184031A (en) * | 2015-11-04 | 2015-12-23 | 上海无线电设备研究所 | Lightweight design method for arm structure of assembly robot |
| 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 |
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