CN114692333A - Method, device, equipment and medium for optimizing server case structure - Google Patents
Method, device, equipment and medium for optimizing server case structure Download PDFInfo
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Abstract
The invention provides a method, a device, equipment and a readable medium for optimizing a server case structure, wherein the method comprises the following steps: establishing a three-dimensional model of the server case, and endowing each component in the established three-dimensional model with specific parameter attributes; selecting design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establishing a first mathematical model based on the design variables, the constraint conditions and the objective functions; selecting design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establishing a second data model based on the design variables, the constraint conditions and the objective functions; and carrying out repeated iterative computation on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure. By using the scheme of the invention, the number and times of proofing of a prototype can be reduced, the verification period is shortened, the verification efficiency is improved, the development period and cost of the server can be reduced, and the design defects and weak points can be effectively identified.
Description
Technical Field
The present invention relates to the field of computers, and more particularly, to a method, an apparatus, a device, and a readable medium for optimizing a server chassis structure.
Background
The server is one kind of computer, and it is faster than computer operating speed, data throughput capacity reinforce, long-time reliability advantage such as operation, and the continuous stability provides calculation or application service for finance, communication and energy field. The server is used as electronic equipment, has little difference with the internal structure of a computer, and consists of a CPU, a memory, a hard disk, a display card, an I/O interface, a power supply and the like, but the internal structure of the server is more compact and complicated. The electronic components assembled on the server case are numerous, the total mass is large after assembly, and the case sinks too high to influence the loading of the case into the cabinet, so that higher requirements are provided for the structural design of the case. The sheet metal part is the most commonly used structural material of the server case, the case is processed and finished after the procedures of blanking, bending, forming, riveting and the like, a complex system is arranged in the case and consists of a plurality of sub-parts, and the thickness of each sub-part is endowed with different thicknesses according to the functional attributes of the sub-parts. For the strength optimization of sheet metal parts, the common methods are increasing the material thickness, adding a support structure, punching a convex hull and the like. Stamping convex hulls or reinforcing ribs on the surface of a sheet metal is one of the commonly adopted methods in the field of improving the structural strength, and the size and height of the convex hulls have great influence on the strength and the natural frequency of parts. The traditional design and development mode is carried out according to the experience of a developer, the process is a reciprocating process of design-analysis-optimal design-reanalysis, the sheet metal design mode not only consumes resources, but also the final design model is not necessarily an optimal model. Generally, when various complex parts in a chassis are designed, such as a mainboard tray, a chassis base, a hard disk partition plate, a hard disk bracket and other bearing parts, designers often refer to the chassis design of the same type or design according to experience, and the mechanical characteristics and the bearing performance of the parts are not considered completely.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a device, and a readable medium for optimizing a server chassis structure, which can reduce the number and times of proofing by a prototype, shorten a verification period, improve verification efficiency, reduce a server development period and cost, and effectively identify design defects and weak points.
In view of the above object, an aspect of the embodiments of the present invention provides a method for optimizing a server chassis structure, including the following steps:
establishing a three-dimensional model of the server case, and endowing each component in the established three-dimensional model with specific parameter attributes;
selecting design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establishing a first mathematical model based on the design variables, the constraint conditions and the objective functions;
selecting design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establishing a second data model based on the design variables, the constraint conditions and the objective functions;
and carrying out repeated iterative computation on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure.
According to one embodiment of the present invention, selecting design variables, constraints and objective functions required for size optimization among the parameter attributes, and building the first mathematical model based on the design variables, constraints and objective functions comprises:
taking the thickness of the upper cover of the case, the thickness of the main board tray, the thickness of the guide rail, the thickness of the hard disk bracket and the thickness of the base of the case as design variables for optimizing the size, and defining the variation range of the thickness of each part in the range of 0.6-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
minimizing the quality of the three-dimensional model of the server chassis as an objective function of size optimization;
and establishing a first mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
According to an embodiment of the present invention, selecting design variables, constraints and objective functions required for profile optimization from the parameter attributes, and building the second data model based on the design variables, constraints and objective functions includes:
taking the area of the convex hull, the width of the convex hull and the height of the convex hull as design variables for appearance optimization, and defining the height of the convex hull to be 0-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization;
and establishing a second mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
According to an embodiment of the present invention, further comprising:
after carrying out multiple iterative computations on the second mathematical model, outputting a cloud picture model of a convex hull arranged on the chassis base through optistruct software;
modifying the output cloud picture model according to the processing requirement of actual production of the convex hull;
and submitting the modified cloud picture model to modal calculation again to check whether the third-order natural frequency of the chassis base meets the design requirement.
In another aspect of the embodiments of the present invention, there is also provided an apparatus for optimizing a server chassis structure, where the apparatus includes:
the establishing module is configured to establish a three-dimensional model of the server case and endow specific parameter attributes to each component in the established three-dimensional model;
the first selection module is configured to select design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establish a first mathematical model based on the design variables, the constraint conditions and the objective functions;
the second selection module is configured to select design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establish a second data model based on the design variables, the constraint conditions and the objective functions;
and the calculation module is configured to perform multiple iterative calculations on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure.
According to an embodiment of the invention, the first selection module is further configured to:
taking the thickness of the upper cover of the case, the thickness of the main board tray, the thickness of the guide rail, the thickness of the hard disk bracket and the thickness of the base of the case as design variables for optimizing the size, and defining the variation range of the thickness of each part in the range of 0.6-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
minimizing the quality of the three-dimensional model of the server chassis as an objective function of size optimization;
and establishing a first mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
According to an embodiment of the invention, the second selecting module is further configured to:
taking the area of the convex hull, the width of the convex hull and the height of the convex hull as design variables for appearance optimization, and defining the height of the convex hull to be 0-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization;
and establishing a second mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
According to an embodiment of the invention, further comprising a verification module configured to:
after carrying out multiple iterative computations on the second mathematical model, outputting a cloud picture model of a convex hull arranged on the chassis base through optistruct software;
modifying the output cloud picture model according to the processing requirement of actual production of the convex hull;
and submitting the modified cloud picture model to modal calculation again to check whether the third-order natural frequency of the chassis base meets the design requirement.
In another aspect of an embodiment of the present invention, there is also provided a computer apparatus including:
at least one processor; and
a memory storing computer instructions executable on the processor, the instructions when executed by the processor implementing the steps of any of the methods described above.
In another aspect of the embodiments of the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program realizes the steps of any one of the above methods when executed by a processor.
The invention has the following beneficial technical effects: according to the method for optimizing the structure of the server case, the three-dimensional model of the server case is built, and specific parameter attributes are given to each component in the built three-dimensional model; selecting design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establishing a first mathematical model based on the design variables, the constraint conditions and the objective functions; selecting design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establishing a second data model based on the design variables, the constraint conditions and the objective functions; the technical scheme of obtaining the optimal parameters of the server case structure after carrying out iterative computation on the first mathematical model and the second mathematical model for multiple times in optistruct software can reduce the number and times of sample making of a prototype, shorten the verification period, improve the verification efficiency, reduce the development period and cost of the server, and effectively identify the design defects and weak points.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a method of server chassis configuration optimization according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of an apparatus for server chassis configuration optimization according to one embodiment of the invention;
FIG. 3 is a schematic diagram of a computer device according to one embodiment of the present invention;
FIG. 4 is a schematic diagram of a computer-readable storage medium according to one embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
In view of the above object, a first aspect of the embodiments of the present invention provides an embodiment of a method for optimizing a server chassis structure. Fig. 1 shows a schematic flow diagram of the method.
As shown in fig. 1, the method may include the steps of:
s1, establishing a three-dimensional model of the server chassis, and endowing each component in the established three-dimensional model with specific parameter attributes.
S2, selecting design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establishing a first mathematical model based on the design variables, the constraint conditions and the objective functions.
The components which play a main bearing role in the chassis comprise a chassis upper cover, a mainboard tray, a guide rail, a hard disk bracket and a chassis base, so that the thickness of the chassis upper cover, the thickness of the mainboard tray, the thickness of the guide rail, the thickness of the hard disk bracket and the thickness of the chassis base can be used as design variables for size optimization, the variation range of the thickness of each component is defined to be 0.6-2 mm, the displacement sinking amount in the Y direction is used as a constraint condition for size optimization, the displacement sinking amount in the Y direction is defined to be not more than 50%, the mass minimization of a three-dimensional model of the server chassis is used as an objective function for size optimization, and a first mathematical model is established in optistruct software based on the design variables, the constraint condition and the objective function.
Minmum mass
0.6mm≤Ti≤2mm(i＝u,l...t3)
For example, the first data model is: y isDisp≤3.2mm。
S3, selecting design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establishing a second data model based on the design variables, the constraint conditions and the objective functions.
The chassis base is an important bearing part in the server, convex hulls with different structures are arranged on the surface of the chassis base at different positions according to actual requirements, the chassis base is a large-area featureless plane before the appearance is optimized, a design area and a non-design area are defined in software, wherein the design region is the region of the convex hull, the width of the convex hull and the height of the convex hull are used as design variables for appearance optimization, the height of the convex hull is defined to be 0-2 mm, the width of the convex hull can be defined to be 1-10 mm, the displacement sinking amount in the Y direction is used as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking in the Y direction is not more than 50%, taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization, and establishing a second mathematical model in optistruct software based on the design variable, the constraint condition and the objective function.
And S4, carrying out multiple iterative calculations on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure.
After the first mathematical model is subjected to multiple iterative computations, the optimization problem is finally converged, a group of optimal solutions are obtained through an iterative convergence process of extracting design variables, a target function and constraint conditions, after the second mathematical model is subjected to multiple iterative computations, optistruct software outputs a cloud picture of a convex hull arranged on a chassis base, and then a step format picture file is output through high view software.
The invention aims to establish a finite element simulation model of a server chassis based on a finite element simulation technology, simulate and analyze the working condition of the chassis in an actual working scene, optimize the structural design scheme of the chassis by adopting a size optimization and morphology optimization analysis method, establish a mathematical model for chassis structural optimization by defining design variables, constraint conditions and an optimization objective function, wherein the design variables comprise the thickness of a sheet metal part, the height and the area of raised ribs of a convex hull, and carry out iterative optimization in a solver of optistruct software to obtain a group of optimal chassis size parameter results, thereby effectively improving the structural strength of the chassis, identifying defects in empirical design in advance and providing a reference basis for the subsequent lightweight design of the server chassis.
And preliminarily designing a three-dimensional model of the server case by using Creo software, and endowing each part with specific thickness and material properties. And establishing a finite element simulation model of the server case in a certain specific mechanical scene by using software such as Hypermesh, Abaqus, Optistruct, LS-DYNA and the like, wherein the finite element simulation model comprises specific load working conditions such as falling, impact, vibration and the like. Firstly, preprocessing work such as geometric processing, grid division, material attribute assignment and load boundary definition is carried out, and then the K file is imported into post-processing software for structure solving calculation. By adopting a size optimization and morphology optimization CAE technology, the sheet metal thickness, the convex hull design area, the convex hull size and other structural characteristic sizes are used as design variables, the objective function is generally the mass and the volume of a structural model, and the constraint conditions are displacement, frequency, stress, strain and the like. The size optimization is to solve the structure size parameters in an optimized manner on the premise of keeping the original structure topology unchanged, and the effect of improving the performance or reducing the weight is achieved by solving the parameters in an optimized manner. Each design variable is denoted by xi, and f (xi) is a function on the design variable, i.e., an objective function, which is optimized by modifying the design variable. In order to make the optimization problem converge and the optimization result meet the requirement of practical application, a certain constraint condition h (x) and g (x) and the like need to be introduced into the optimization model, so that h (x) is greater than 0 or g (x) is less than 0, and the number of the constraint conditions can be one or more. The optimization process is essentially that each design variable takes a value in a given range, and the objective function obtains the maximum value or the minimum value on the premise of meeting the constraint condition.
By the technical scheme, the number and times of proofing of a prototype can be reduced, the verification period is shortened, the verification efficiency is improved, the development period and cost of a server can be reduced, and design defects and weak points can be effectively identified.
In a preferred embodiment of the present invention, selecting the design variables, constraints and objective functions required for the dimensional optimization among the parameter attributes, and building the first mathematical model based on the design variables, constraints and objective functions comprises:
taking the thickness of an upper cover of the case, the thickness of a main board tray, the thickness of a guide rail, the thickness of a hard disk bracket and the thickness of a base of the case as design variables for optimizing the size, and defining the variation range of the thickness of each part in the range of 0.6-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
minimizing the quality of the three-dimensional model of the server chassis as an objective function of size optimization;
and establishing a first mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function. The above parameters are only an example, and other parameters of the chassis may be used as design variables, constraints, and the like.
In a preferred embodiment of the present invention, selecting design variables, constraints and objective functions required for shape optimization from the parameter attributes, and building the second data model based on the design variables, constraints and objective functions includes:
taking the area of the convex hull, the width of the convex hull and the height of the convex hull as design variables for appearance optimization, and defining the height of the convex hull to be 0-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization;
and establishing a second mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function. The above parameters are only an example, and other parameters of the chassis may be used as design variables, constraints, and the like.
In a preferred embodiment of the present invention, the method further comprises:
after carrying out multiple iterative computations on the second mathematical model, outputting a cloud picture model of a convex hull arranged on the chassis base through optistruct software;
modifying the output cloud picture model according to the processing requirement of actual production of the convex hull;
and submitting the modified cloud picture model to modal calculation again to check whether the third-order natural frequency of the chassis base meets the design requirement. The calculated model may be uneven, incomplete or flawed, so that the calculated cloud picture model can be subjected to producibility modification according to the processing requirements of actual convex hull production, the modified model is subjected to modal calculation again, and whether the third-order natural frequency of the chassis base meets the design requirements is checked.
According to the technical scheme, the finite element simulation analysis technology is adopted to replace the traditional empirical judgment and theoretical method to carry out structural design and material attribute endowment on the server case, the number and times of sample making of a prototype are reduced, the verification period is shortened, the verification efficiency is improved, the development period and the development cost of the server are greatly reduced, the design defects and weak points can be effectively identified, and the market competitiveness of products is improved.
It should be noted that, as will be understood by those skilled in the art, all or part of the processes in the methods of the above embodiments may be implemented by instructing relevant hardware through a computer program, and the above programs may be stored in a computer-readable storage medium, and when executed, the programs may include the processes of the embodiments of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. The embodiments of the computer program may achieve the same or similar effects as any of the above-described method embodiments.
Furthermore, the method disclosed according to an embodiment of the present invention may also be implemented as a computer program executed by a CPU, and the computer program may be stored in a computer-readable storage medium. The computer program, when executed by the CPU, performs the above-described functions defined in the method disclosed in the embodiments of the present invention.
In view of the above object, according to a second aspect of the embodiments of the present invention, there is provided an apparatus for optimizing a server chassis structure, as shown in fig. 2, the apparatus 200 includes:
the establishing module is configured to establish a three-dimensional model of the server chassis and endow specific parameter attributes to each component in the established three-dimensional model;
the first selection module is configured to select design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establish a first mathematical model based on the design variables, the constraint conditions and the objective functions;
the second selection module is configured to select design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establish a second data model based on the design variables, the constraint conditions and the objective functions;
and the calculation module is configured to perform multiple iterative calculations on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure.
In a preferred embodiment of the present invention, the first selecting module is further configured to:
taking the thickness of the upper cover of the case, the thickness of the main board tray, the thickness of the guide rail, the thickness of the hard disk bracket and the thickness of the base of the case as design variables for optimizing the size, and defining the variation range of the thickness of each part in the range of 0.6-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
minimizing the quality of the three-dimensional model of the server chassis as an objective function of size optimization;
and establishing a first mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
In a preferred embodiment of the present invention, the second selecting module is further configured to:
taking the area of the convex hull, the width of the convex hull and the height of the convex hull as design variables for appearance optimization, and defining the height of the convex hull to be 0-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization;
and establishing a second mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
In a preferred embodiment of the present invention, the system further comprises a verification module configured to:
after carrying out multiple iterative computations on the second mathematical model, outputting a cloud picture model of a convex hull arranged on the chassis base through optistruct software;
modifying the output cloud picture model according to the processing requirement of actual production of the convex hull;
and submitting the modified cloud picture model to modal calculation again to check whether the third-order natural frequency of the chassis base meets the design requirement.
In view of the above object, a third aspect of the embodiments of the present invention provides a computer device. Fig. 3 is a schematic diagram of an embodiment of a computer device provided by the present invention. As shown in fig. 3, the embodiment of the present invention includes the following means: at least one processor 21; and a memory 22, the memory 22 storing computer instructions 23 executable on the processor, the instructions when executed by the processor implementing the method of:
establishing a three-dimensional model of a server case, and endowing each part in the established three-dimensional model with specific parameter attributes;
selecting design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establishing a first mathematical model based on the design variables, the constraint conditions and the objective functions;
selecting design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establishing a second data model based on the design variables, the constraint conditions and the objective functions;
and carrying out repeated iterative computation on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure.
In a preferred embodiment of the present invention, selecting the design variables, constraints and objective functions required for the dimensional optimization among the parameter attributes, and building the first mathematical model based on the design variables, constraints and objective functions comprises:
taking the thickness of the upper cover of the case, the thickness of the main board tray, the thickness of the guide rail, the thickness of the hard disk bracket and the thickness of the base of the case as design variables for optimizing the size, and defining the variation range of the thickness of each part in the range of 0.6-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
minimizing the quality of the three-dimensional model of the server chassis as an objective function of size optimization;
and establishing a first mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
In a preferred embodiment of the present invention, selecting design variables, constraints and objective functions required for shape optimization from the parameter attributes, and building the second data model based on the design variables, constraints and objective functions includes:
taking the area of the convex hull, the width of the convex hull and the height of the convex hull as design variables for appearance optimization, and defining the height of the convex hull to be 0-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization;
and establishing a second mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
In a preferred embodiment of the present invention, the method further comprises:
after carrying out multiple iterative calculations on the second mathematical model, outputting a cloud picture model with a convex hull arranged on a chassis base through optistruct software;
modifying the output cloud picture model according to the processing requirement of actual production of the convex hull;
and submitting the modified cloud picture model to modal calculation again to check whether the third-order natural frequency of the chassis base meets the design requirement.
In view of the above object, a fourth aspect of the embodiments of the present invention proposes a computer-readable storage medium. FIG. 4 is a schematic diagram illustrating an embodiment of a computer-readable storage medium provided by the present invention. As shown in fig. 4, the computer-readable storage medium 31 stores a computer program 32 which, when executed by a processor, performs the method as described above.
Furthermore, the methods disclosed according to embodiments of the present invention may also be implemented as a computer program executed by a processor, which may be stored in a computer-readable storage medium. Which when executed by a processor performs the above-described functions defined in the methods disclosed in embodiments of the invention.
Further, the above method steps and system elements may also be implemented using a controller and a computer readable storage medium for storing a computer program for causing the controller to implement the functions of the above steps or elements.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments of the present invention.
In one or more exemplary designs, the functions may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk, blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The foregoing is an exemplary embodiment of the present disclosure, but it should be noted that various changes and modifications could be made herein without departing from the scope of the present disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the disclosed embodiments described herein need not be performed in any particular order. Furthermore, although elements of the disclosed embodiments of the invention may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
It should be understood that, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly supports the exception. It should also be understood that "and/or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.
The numbers of the embodiments disclosed in the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, of embodiments of the invention is limited to these examples; within the idea of an embodiment of the invention, also technical features in the above embodiment or in different embodiments may be combined and there are many other variations of the different aspects of the embodiments of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present invention are intended to be included within the scope of the embodiments of the present invention.
Claims (10)
1. A method for optimizing the structure of a server chassis is characterized by comprising the following steps:
establishing a three-dimensional model of the server case, and endowing each component in the established three-dimensional model with specific parameter attributes;
selecting design variables, constraint conditions and objective functions required by size optimization from the parameter attributes, and establishing a first mathematical model based on the design variables, the constraint conditions and the objective functions;
selecting design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establishing a second data model based on the design variables, the constraint conditions and the objective functions;
and carrying out repeated iterative computation on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure.
2. The method of claim 1, wherein selecting design variables, constraints, and objective functions among the parameter attributes required for size optimization, and building the first mathematical model based on the design variables, constraints, and objective functions comprises:
taking the thickness of the upper cover of the case, the thickness of the main board tray, the thickness of the guide rail, the thickness of the hard disk bracket and the thickness of the base of the case as design variables for optimizing the size, and defining the variation range of the thickness of each part in the range of 0.6-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition of size optimization, and defining the constraint condition as the displacement sinking amount in the Y direction is not more than 50%;
minimizing the quality of the three-dimensional model of the server chassis as an objective function of size optimization;
and establishing a first mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
3. The method of claim 1, wherein selecting design variables, constraints, and objective functions required for shape optimization among the parameter attributes, and building the second data model based on the design variables, constraints, and objective functions comprises:
taking the area of the convex hull, the width of the convex hull and the height of the convex hull as design variables for appearance optimization, and defining the height of the convex hull to be 0-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization;
and establishing a second mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
4. The method of claim 1, further comprising:
after carrying out multiple iterative computations on the second mathematical model, outputting a cloud picture model of a convex hull arranged on the chassis base through optistruct software;
modifying the output cloud picture model according to the processing requirement of actual production of the convex hull;
and submitting the modified cloud picture model to modal calculation again to check whether the third-order natural frequency of the chassis base meets the design requirement.
5. An apparatus for optimizing a server chassis structure, the apparatus comprising:
the system comprises an establishing module, a parameter setting module and a parameter setting module, wherein the establishing module is configured to establish a three-dimensional model of a server chassis and endow specific parameter attributes to each component in the established three-dimensional model;
the first selection module is configured to select a design variable, a constraint condition and an objective function required by size optimization from the parameter attributes, and establish a first mathematical model based on the design variable, the constraint condition and the objective function;
the second selection module is configured to select design variables, constraint conditions and objective functions required by shape optimization from the parameter attributes, and establish a second data model based on the design variables, the constraint conditions and the objective functions;
and the calculation module is configured to perform multiple iterative calculations on the first mathematical model and the second mathematical model in optistruct software to obtain the optimal parameters of the server case structure.
6. The apparatus of claim 5, wherein the first selection module is further configured to:
taking the thickness of the upper cover of the case, the thickness of the main board tray, the thickness of the guide rail, the thickness of the hard disk bracket and the thickness of the base of the case as design variables for optimizing the size, and defining the variation range of the thickness of each part in the range of 0.6-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
minimizing the quality of the three-dimensional model of the server chassis as an objective function of size optimization;
and establishing a first mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
7. The apparatus of claim 5, wherein the second selection module is further configured to:
taking the area of the convex hull, the width of the convex hull and the height of the convex hull as design variables for appearance optimization, and defining the height of the convex hull to be 0-2 mm;
taking the displacement sinking amount in the Y direction as a constraint condition for size optimization, and defining the constraint condition as that the displacement sinking amount in the Y direction is not more than 50%;
taking the maximum third-order natural frequency of the chassis base as an objective function of appearance optimization;
and establishing a second mathematical model in optistruct software based on the design variables, the constraint conditions and the objective function.
8. The apparatus of claim 5, further comprising a verification module configured to:
after carrying out multiple iterative computations on the second mathematical model, outputting a cloud picture model of a convex hull arranged on the chassis base through optistruct software;
modifying the output cloud picture model according to the processing requirement of actual production of the convex hull;
and submitting the modified cloud picture model to modal calculation again to check whether the third-order natural frequency of the chassis base meets the design requirement.
9. A computer device, comprising:
at least one processor; and
a memory storing computer instructions executable on the processor, the instructions when executed by the processor implementing the steps of the method of any one of claims 1 to 4.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
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