KR102500314B1 - Method for designing mechanical apparatus and device using the same - Google Patents

Abstract

Disclosed are a method for designing a mechanical device and a device using the same. A method for obtaining shape information of a mechanical device based on target performance information according to an embodiment comprises: a step of obtaining a first target performance parameter and a second target performance parameter of the mechanical device; a step of obtaining first shape information by using a first model based on the first target performance parameter and the second target performance parameter; a step of obtaining a first expected performance parameter by using a second model based on the first shape information; and a step of updating the first model based on at least one among the first target performance parameter, the second target performance parameter, or the first expected performance parameter. The present invention can provide an engineering calculation result with high accuracy to a user.

Description

Design method of mechanical device and device using the same {METHOD FOR DESIGNING MECHANICAL APPARATUS AND DEVICE USING THE SAME}

The present invention relates to a design method of a mechanical device and a device using the same.

In general, programs used for engineering calculations have a large number of parameters and complex effects of the parameters on performance, so an appropriate level of training is absolutely necessary to effectively use the programs. On the other hand, with the recent development of communication technology and web technology, an environment has been created in which programs are distributed through a web browser without installing programs on a computer and the immediately distributed programs can be used, and parameters entered by various users are converted into data. A conducive environment was created.

In recent years, as portable communication devices such as smartphones and tablets have become widely available, various user experiences familiar with engineering calculations have been accumulated and used to provide services that allow relatively inexperienced users to use engineering calculations at an appropriate level. Efforts to do so are ongoing.

One problem to be solved by the present application is to provide users with highly accurate results while smoothly performing engineering calculations for users who are not familiar with engineering calculations.

The problem to be solved in the present application is not limited to the above-described problem, and problems not mentioned will be clearly understood by those skilled in the art from this specification and the accompanying drawings. .

A method for acquiring shape information of a mechanical device based on target performance information according to an embodiment includes acquiring first target performance parameters and second target performance parameters of the mechanical device; obtaining first shape information using a first model based on the first target performance parameter and the second target performance parameter; obtaining a first expected performance parameter using a second model based on the first shape information; and updating the first model based on at least one of the first target performance parameter, the second target performance parameter, and the first expected performance parameter.

The solutions to the problems of the present application are not limited to the above-described solutions, and solutions not mentioned will be clearly understood by those skilled in the art from this specification and the accompanying drawings. You will be able to.

According to the present application, a user who is not familiar with engineering calculations can smoothly perform the engineering calculations while providing highly accurate results to the user.

The effects of the present application are not limited to the above-mentioned effects, and effects not mentioned will be clearly understood by those skilled in the art from this specification and the accompanying drawings.

1 is an environment diagram of a system according to an exemplary embodiment.
2 is a block diagram of a terminal according to an embodiment.
3 is a block diagram of a server according to an embodiment.
4 is a block diagram of a method for obtaining shape information of a mechanical device according to an embodiment.
5 is a diagram for explaining acquisition of types of motors according to an embodiment.
6 is a diagram for explaining acquisition of target performance parameters according to an exemplary embodiment.
7 is a diagram for explaining provision of shape information according to an exemplary embodiment.
8 is a diagram for explaining a modified design variable according to an embodiment.
9 is a diagram for explaining provision of expected performance parameters according to an embodiment.
10 is a block diagram of a method for obtaining shape information of a mechanical device according to another embodiment.
11 and 12 are views for explaining updating of a first model according to an exemplary embodiment.

The embodiments described in this specification are intended to clearly explain the spirit of the present invention to those skilled in the art distribution to which the present invention belongs, so the present invention is not limited to the embodiments described in this specification, and the The scope should be construed to include modifications or variations that do not depart from the spirit of the invention.

The terms used in this specification have been selected as general terms that are currently widely used as much as possible in consideration of the functions in the present invention, but these may vary depending on the intention of those skilled in the art, precedents, or the emergence of new technologies to which the present invention belongs. can However, in the case where a specific term is defined and used in an arbitrary meaning, the meaning of the term will be separately described. Therefore, the terms used in this specification should be interpreted based on the actual meaning of the term and the overall content of this specification, not the simple name of the term.

The drawings accompanying this specification are intended to easily explain the present invention, and the shapes shown in the drawings may be exaggerated as necessary to aid understanding of the present invention, so the present invention is not limited by the drawings.

If it is determined that a detailed description of a known configuration or function related to the present invention in this specification may obscure the gist of the present invention, a detailed description thereof will be omitted if necessary.

Hereinafter, an access control method and an access control device using the same according to an embodiment of the present invention will be described.

1 is an environment diagram of a system according to an exemplary embodiment.

Referring to FIG. 1 , a system 10000 may include a terminal 100 and a server 200 .

The terminal 100 may be implemented as a smart phone, a tablet, a PDA, a laptop computer, a PC, and a wearable device.

In addition, the terminal 100 may be provided with applications for performing some embodiments to be described later.

The server 200 may communicate with the terminal 100 and transmit/receive various information.

In one embodiment, at least one of the terminal 100 and the server 200 may include an engineering calculation module. The engineering calculation module may obtain target performance parameters from the user and provide shape information corresponding to the target performance parameters to the user based on the target performance parameters. Also, the engineering calculation module may include a first model and a second model to be described later. The engineering calculation module is described in detail below.

When such an engineering calculation module is included in the terminal 100, the engineering calculation module is driven in the terminal 100, and when the engineering calculation module is included in the server 200, the engineering calculation module may be driven in the server 200. .

In an embodiment, a device in which an engineering calculation module is driven may be determined among the terminal 100 and the server 200 according to the performance of the terminal 100 .

Specifically, when the terminal 100 accesses the server 200 through a web browser, the server 200 may deliver a script file capable of evaluating the computational capability of the terminal 100 together with a web page. The terminal 100 provides the user with the web page obtained from the server 200, executes the script file obtained from the server 200 to evaluate the computing capability of the terminal 100, and evaluates the computing capability of the server 200. Information about, for example, performance information may be transmitted. Here, the performance information may include graphic calculation capability, CPU numerical calculation capability, communication capability, and memory capability.

In addition, the server 200 may evaluate the performance of the terminal 100 based on the performance information obtained from the terminal 100 based on a preset performance standard for each application. Here, at least one of the applications may include an engineering calculation module. Also, at least one of the applications may be a computational analysis application.

Also, the server 200 may determine whether to run the application in the server 200 or the terminal 100 based on the performance evaluation result of the terminal 100 . For example, as a result of performance evaluation of the terminal 100 , when the performance of the terminal 100 exceeds the required performance standard of the application, the server 200 may transmit the application to the terminal 100 . In this case, the application may be a web assembly file that is executed inside the web browser of the terminal 100 without requiring separate installation in the terminal 100 .

In addition, as a result of the performance evaluation of the terminal 100, if the performance of the terminal 100 does not exceed the required performance standard of the application, the server 200 does not transmit the application to the terminal 100, and the server 200 You can run the application. For example, the server 200 may obtain input information of an application from the terminal 100, input the input information to the application, and obtain a result from the application. Also, the server 200 may provide the result to the terminal 100 . The terminal 100 may provide results and/or input information to the user.

Also, while the application is running in the terminal 100, the server 200 may periodically or non-periodically evaluate the computing capability of the terminal 100. At this time, when the performance of the terminal 100 does not exceed the required performance standard of the application, the server 200 obtains input information and/or intermediate results from the terminal 100, and obtains the input information and/or intermediate results. Based on the application, the result can be obtained.

Also, a plurality of applications may be run in the server 200 . At this time, if the computing power of the server 200 is expected to be insufficient as a plurality of applications are running and the performance of the terminal 100 does not exceed the required performance standard of the specific application, the server 200 immediately executes the specific application. You can register a specific application to the scheduler without executing it. Then, when the computing power of the server 200 is secured, the specific application can be executed by sequentially executing the applications registered in the scheduler.

2 is a block diagram of a terminal according to an embodiment.

Referring to FIG. 2 , a terminal 100 may include a terminal communication unit 110 , a terminal input unit 120 , a terminal storage unit 130 , a terminal display unit 140 and a terminal control unit 150 .

The terminal communication unit 110 may communicate with the server 200 . In addition, the terminal communication unit 110 is BLE (Bluetooth Low Energy), Bluetooth (Bluetooth), WLAN (Wireless LAN), WiFi (Wireless Fidelity), WiFi Direct, NFC (Near Field Communication), infrared communication (Infrared Data Association; IrDA ), a mobile communication module including UWB (Ultra Wide Band), Zigbee, 3G, 4G or 5G, and a wired/wireless module for transmitting data through various other communication standards.

The terminal input unit 120 may obtain a signal corresponding to a user's input. Also, the terminal input unit 120 may obtain an input (eg, a target performance parameter) for obtaining information necessary for engineering calculation. Also, the terminal input unit 120 may be implemented as, for example, a keyboard, a keypad, a touchpad, a button, a jog shuttle, and a wheel. Also, the user's input may be, for example, button press, touch, and drag. When the terminal display unit 140 is implemented as a touch screen, the terminal display unit 140 may serve as the terminal input unit 120 .

Also, the terminal storage unit 130 may store various types of data. For example, the terminal storage unit 130 may store data necessary for the operation of the terminal 100 (eg, information required for engineering calculation, an engineering calculation module, an application including the engineering calculation module, etc.).

The terminal storage unit 130 may be a flash memory type, a hard disk type, a multimedia card micro type, or a card type memory (for example, SD or XD memory). , RAM (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) magnetic memory, It may include a storage medium of at least one type of a magnetic disk and an optical disk. In addition, the memory may store information temporarily, permanently or semi-permanently, and may be provided in a built-in or removable type.

The terminal display unit 140 may output various visual information. For example, the terminal display unit 140 may output various applications, input information input to the applications, output provided by the applications, and the like. Also, the terminal display unit 140 may output information received from the server 200 and/or information to be provided to the server 200 . The terminal display unit 140 may be an LCD, OLED, AMOLED display, or the like. When the terminal display unit 140 is provided as a touch screen, the terminal display unit 2020 may perform the function of the terminal input unit 120 . In this case, a separate terminal input unit 120 may not be provided according to selection, and a terminal input unit 120 performing limited functions such as volume control, power button, and home button may be provided.

The terminal control unit 150 may control each component of the terminal 100 or process and calculate various types of information. Also, the terminal controller 150 may obtain signals from several components included in the terminal 100 . In addition, the terminal control unit 150 may control operations for performing some steps performed by the terminal 100 among steps described in methods to be described later, or may perform operations necessary for performing the steps. Also, in one embodiment, the terminal controller 150 may include an engineering calculation module.

The terminal controller 150 may be implemented in software, hardware, or a combination thereof. For example, in terms of hardware, the terminal control unit 150 may be implemented with a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a semiconductor chip, or other various types of electronic circuits. For example, in terms of software, the terminal control unit 150 may be implemented in a logic program executed according to the above-described hardware or various computer languages.

The terminal 100 does not necessarily have to include all of the above components, and may be provided in a form excluding some components according to selection. In addition, the terminal 100 may be provided in a form in which a configuration for performing additional functions and operations is added according to selection.

3 is a block diagram of a server according to an embodiment.

Referring to FIG. 3 , the server 200 may include a server communication unit 210 , a server input unit 220 , a server storage unit 230 , a server display unit 240 and a server control unit 250 .

The server communication unit 210 may communicate with the terminal 100 . In addition, the server communication unit 210 is BLE (Bluetooth Low Energy), Bluetooth (Bluetooth), WLAN (Wireless LAN), WiFi (Wireless Fidelity), WiFi Direct, NFC (Near Field Communication), infrared communication (Infrared Data Association; IrDA ), a mobile communication module including UWB (Ultra Wide Band), Zigbee, 3G, 4G or 5G, and a wired/wireless module for transmitting data through various other communication standards.

The server input unit 220 may obtain a signal corresponding to a user input. The server input unit 220 may include a keyboard, a keypad, a touchpad, buttons, a jog shuttle, and a wheel.

The server storage unit 230 may store various types of data. For example, the server storage unit 230 stores data necessary for the operation of the server 200 and/or the terminal 100 (eg, a plurality of applications, required performance information for each of a plurality of applications, operation of the terminal 100). script files that can evaluate capabilities, engineering calculation modules, etc.).

In addition, the server storage unit 230 may be a flash memory type, a hard disk type, a multimedia card micro type, or a card type memory (for example, SD or XD memory). etc.), RAM (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) magnetic It may include at least one type of storage medium among a memory, a magnetic disk, and an optical disk. In addition, the memory may store information temporarily, permanently or semi-permanently, and may be provided in a built-in or removable type.

Also, the server display unit 240 may output visual information. For example, the server display unit 240 may be an LCD, OLED, or AMOLED display.

In addition, the server control unit 250 may control each component of the server 200 or process and calculate various types of information. Also, as an example, the server controller 250 may include an engineering calculation module. In addition, the server control unit 250 may control operations for performing some steps performed by the server 200 among steps described in methods to be described later, or may perform calculations necessary for performing the steps.

The server control unit 250 may be implemented in software, hardware, or a combination thereof. For example, in terms of hardware, the server control unit 250 may be implemented with a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a semiconductor chip, or other various types of electronic circuits. For example, in terms of software, the server control unit 250 may be implemented in a logic program executed according to the above-described hardware or various computer languages.

The server 200 does not necessarily have to include all of the above components, and may be provided in a form in which some components are excluded according to selection. For example, when the server 200 does not directly provide visual information, the server 200 may be provided in a form in which the server display unit 240 is excluded. In addition, the server 200 may be provided in a form in which a configuration for performing additional functions and operations is added according to selection.

4 is a block diagram of a method for obtaining shape information of a mechanical device according to an embodiment.

Referring to FIG. 4 , a method for acquiring shape information of a mechanical device according to an embodiment includes obtaining a first target performance parameter and a second target performance parameter of the mechanical device (S100), the first target performance parameter and obtaining first shape information using a first model based on a second target performance parameter (S200), obtaining a first expected performance parameter using a second model based on the first shape information (S200). S300) and updating the first model based on at least one of a first target performance parameter, a second target performance parameter, or a first expected performance parameter (S400).

The method for acquiring shape information of a mechanical device according to the embodiment may be performed in an engineering calculation module, and the engineering calculation module may be included in a terminal or a server. For convenience of explanation, hereinafter, the method for obtaining the shape information of the mechanical device according to the embodiment will be described as being performed in the engineering calculation module, but is not limited thereto, and the method of acquiring the shape information of the mechanical device according to the embodiment is not limited thereto. Of course, the method for acquiring the shape information may be substantially performed in a terminal or server including an engineering calculation module. In other words, the operation of the engineering calculation module in this specification may be understood as the operation of a terminal or server including the engineering calculation module.

In step S100, the engineering calculation module may obtain a first target performance parameter and a second target performance parameter of the mechanical device. For example, the terminal may receive a first target performance parameter and a second target performance parameter of the machine device from the user, and may transmit the input first and second target performance parameter of the machine device to the server. .

Specifically, the engineering calculation module may obtain information about the type of mechanical device. Here, the mechanical device may include mechanical parts. For example, the mechanical device may include an electric motor, and the server may include information on the type of electric motor (eg, an induction motor, a permanent magnet motor, SynRM, etc.). For example, as shown in FIG. 5 , the engineering calculation module may visually output information on the type of motor through the terminal and receive a user's selection of at least one of the output motors. In addition, the terminal may provide the server with information about the selected motor type. For convenience of description, hereinafter, the mechanical device is expressed as an electric motor, but is not limited thereto, and mechanical devices other than the electric motor may also be included in the scope of rights according to the present application.

Also, the engineering calculation module may obtain a first target performance parameter and a second target performance parameter from the terminal. For example, the engineering calculation module may visually output information on the target performance parameter through the terminal as shown in FIG. 6 and receive a numerical value for at least one of the output information on the target performance parameter. Here, the target performance parameter is information necessary to obtain shape information (for example, a drawing) for the type of the selected mechanical device, and the engineering calculation module provides a shape capable of achieving the target performance of the target performance parameter. can Also, the target performance parameters may include design conditions or design information. For example, if the mechanical device is a motor, the target performance parameters include target motor output, efficiency, input power frequency (operating speed), operating temperature, input power voltage, number of phases, number of slots, and number of motors. It can include the number of poles, wiring method, etc. Also, the target performance parameter may include material information of the motor. In addition, the target performance parameter may include stator or rotor shape information (ie, target shape information), space factor, current density, winding information, and the like.

Also, in one embodiment, the target performance parameter may be divided into a first target performance parameter and a second target performance parameter. Here, the first target performance parameter may refer to a parameter input to a first model to be described later, and the second target performance parameter may refer to a parameter input to the first model and a second model to be described later. For example, when the mechanical device is an electric motor, the second target performance parameter is torque, efficiency, operating temperature, input power frequency, input power voltage, material information, electromagnetic field information such as magnetic flux density in the motor, and at least one other mechanical performance. It may include at least one of information (eg, saturation temperature, volume information, weight information, physical property information ed) and electrical performance information. Also, the first target performance parameter may include parameters other than the second target performance parameter among the above-described target performance parameters.

In step S200, the engineering calculation module may obtain first shape information by using the first model based on the first target performance parameter and the second target performance parameter.

In an embodiment, the engineering calculation module may input the first target performance parameter and the second target performance parameter to the first model, and output the first shape information from the first model. Here, the first shape model may include design variables and design information corresponding to the first target performance parameter and the second target performance parameter.

Also, the first model may include a reduced order model (ROM) or a machine learning model. Here, the reduced-order model may refer to a simplified mathematical modeling technique for solving the problem of inefficiency of calculation time caused by the complexity and high degree of freedom of the mathematical model. For example, a reduced-order model can basically derive results only in a range requiring analysis in the frequency domain. For example, the reduced-order model may reduce the order of governing equations. In general, the governing equations of systems with high degrees of freedom can be composed of high-order mass and stiffness matrices. During the process of analyzing such a system, a large amount of computational load and inefficiency of analysis may occur while calculating an inverse matrix. To this end, the order-reduced model selects only the modes that require interpretation in order to reduce the computational burden, and by projecting the physical coordinates to the modal coordinates, the order of the governing equation can be reduced by the number of all selected. . Also, the reduced-order model may be a model in which a relationship between design variables and expected performance information is mathematically constructed. Here, the design variable may indicate numerical information of each component of the mechanical device, such as the size of the coil and the area of the coil. Also, in one embodiment, the reduced order model may be composed of ordinary differential equations.

In addition, machine learning models include k-Nearest Neighbors (kNN), linear regression, logistic regression, support vector machines (SVC), decision trees ), random forests, and artificial neural networks.

Hereinafter, for convenience of description, the first model is described as a reduced-order model, but is not limited thereto, and it is apparent that the first model may be configured as a machine learning model.

Also, the first model may include a database. In the database, target performance parameters and corresponding shape design information may be matched and stored. In addition, the relationship between the target performance parameter and the corresponding shape design information may be established through a mathematical algorithm capable of constructing a meta-model such as a kriging or machine learning model.

The engineering calculation module may obtain the first shape information based on at least one of a reduced-order model (or machine learning model) and a database. In one embodiment, the first shape information may include design information and design variables (ie, numerical values of design variables) of the mechanical device. Here, design variables may be determined by engineering formulas. For example, in the case of a coil, the engineering calculation module may calculate the area of the coil as a design variable. In addition, the design information indicates the design of the mechanical device, and may indicate, for example, the design of a coil having a corresponding area in the case of a coil. The engineering calculation module may obtain the design variables using a reduced-order model, obtain the design information using a database, and obtain first shape information using the obtained design variables and design information.

Of course, the engineering calculation module may obtain the first shape information using any one of a reduced-order model (or machine learning model) or a database. For example, the engineering calculation module may acquire the design variables by using a reduced-order model, obtain the design information based on the design variables, and obtain first shape information. Also, the engineering calculation module may obtain first shape information corresponding to the first target performance parameter and the second target performance parameter from the database.

Also, the engineering calculation module may provide first shape information to the user through the terminal. For example, as shown in FIG. 7 , the engineering calculation module may display the first shape information through the terminal.

Also, in step S300 , the engineering calculation module may obtain a first expected performance parameter by using a second model based on the first shape information. In one embodiment, the engineering calculation module may input first shape information to the second model and obtain a first expected performance parameter from the second model. Here, the second model may more accurately predict detailed performance by simulating predetermined shape information under given conditions. For example, the second model may be a finite element analyzer or an experimental value. Also, the first expected performance parameter may mean detailed performance predicted from the first shape information. That is, when receiving a target performance parameter from a user, the engineering calculation module obtains first shape information based on the target performance parameter through a first model, and first expected performance based on the first shape information through a second model. parameters can be obtained. Accordingly, from the user's point of view, if only the target performance parameters are input into the engineering calculation module, not only the shape information but also the target performance parameters corresponding to the shape information can be obtained from the engineering calculation module, so that high-accuracy shape information can be easily obtained. may occur.

Also, the engineering calculation module may input the second target performance parameter together with the first shape information into the second model.

Also, the engineering calculation module may input modified design variables corrected by the user to the second model. As a specific example, the engineering calculation module may provide design variables of the first shape information together while visually outputting the first shape information through the terminal as shown in FIG. 8 . Also, the engineering calculation module may acquire modified design variables for design variables. In this case, the engineering calculation module may output second shape information representing modified shape information by inputting modified design variables to the first model. In addition, the engineering calculation module may obtain a second expected performance parameter representing the corrected expected performance parameter by inputting the correction parameter and/or the second shape information to the second model.

Also, the engineering calculation module may visually output the first expected performance parameter or the second expected performance parameter as shown in FIG. 9 .

Also, in step S400 , the engineering calculation module may update the first model based on at least one of the first target performance parameter, the second target performance parameter, and the first expected performance parameter.

Specifically, the engineering calculation module may compare the first expected performance parameter (and/or the second expected performance parameter) obtained in step S300 with the first target performance parameter and the second target performance parameter obtained in step S100. As a result of the comparison, when the difference between the first expected performance parameter (and/or the second expected performance parameter) and the 1/2 target performance parameter is greater than or equal to a predetermined ratio (eg, 5%), among the 1/2 target performance parameters A parameter overlapping the first expected performance parameter (and/or the second expected performance parameter) is replaced with the first expected performance parameter (and/or the second expected performance parameter), and the first expected one of the first/second target performance parameters is replaced. The first model may be updated based on the parameters that do not overlap with the performance parameters (and/or the second expected performance parameters), the first expected performance parameters (and/or the second expected performance parameters), and the first shape information. That is, when the output value of the second model and the input value of the first model differ by a predetermined ratio or more, the first model may be updated based on the output value of the second model, and thus the accuracy of the first model may be improved. can

In addition, as a result of the comparison, when the difference between the first expected performance parameter (and/or the second expected performance parameter) and the 1/2 target performance parameter is less than a predetermined ratio (eg, 5%), the first expected performance parameter ( and/or the second expected performance parameter) may not be used for updating the first model.

10 is a block diagram of a method for obtaining shape information of a mechanical device according to another embodiment.

Referring to FIG. 10 , a method for obtaining shape information of a mechanical device according to another embodiment includes obtaining a target performance parameter of the mechanical device (S1000), using a first model based on the target performance parameter It may include obtaining shape information (S2000) and determining whether or not to update the first model based on a first partial derivative of the first model in numerical values of design variables included in the shape information (S3000). there is.

In step S1000, the target performance parameter may include the first target performance parameter and the second target performance parameter in step S100 described above. For step S1000, since the information described in step S100 can be applied, detailed description will be omitted.

Also, in step S2000, the shape information may include first shape information and second shape information in step S200. Since the information described in step S200 may be applied to step S2000, a detailed description thereof will be omitted.

In addition, in step S3000, the engineering calculation module may determine whether to update the first model based on the first partial derivative of the first model in the numerical values of the design variables included in the shape information. Step S3000 will be described using FIGS. 11 and 12 .

11 and 12 are views for explaining updating of a first model according to an exemplary embodiment.

Referring to FIGS. 11 and 12 , the X-axis of the graphs of FIGS. 11 and 12 may represent design variables, and the Y-axis may represent expected performance parameters. In one embodiment, the reduced-order model may include an equation of f(x1, x2, x3, ... xn). Here, x1, x2, x3, ... xn represents each design variable (shape, dimension information, voltage, etc.), and the resulting value of f(x1, x2, x3, ... xn) may represent an expected performance parameter. Also, in the graphs of FIGS. 11 and 12 , a blue line may indicate f(xi) representing an expected performance parameter of xi, which is one of the design variables. Also, in the graphs of FIGS. 11 and 12 , blue points may indicate verified data. That is, in the graph of FIG. 11, the first neighbor expected performance parameter 1200 and the second neighbor expected performance parameter 1300 are verified data, and the first neighbor expected performance parameter 1200 is the numerical value of the design variable xi It is an expected performance parameter corresponding to pi−1, and the second adjacent expected performance parameter 1300 may indicate an expected performance parameter corresponding to the numerical value pi+1 of the design variable xi. The first predicted neighbor performance parameter 1200 and the second predicted neighbor performance parameter 1300 may be stored in the first model.

In an embodiment, the engineering calculation module may obtain the target performance parameter 1100 and the numerical value pi of the design variable along with shape information corresponding to the target performance parameter 1100 through steps S1000 and S2000.

Specifically, the engineering calculation module may obtain a numerical value pi of the design variable xi corresponding to the target performance parameter 1100 by using the first model. In this case, the target performance parameter 1100 is data that has not been verified, and the numerical value pi of the design variable xi corresponding to the target performance parameter 1100 may also be data that has not been verified. In order to improve the accuracy, the engineering calculation module calculates the numerical value pi-1 of the verified design variable xi, the numerical value pi+1 of the design variable xi, the first adjacent expected performance parameter 1200 and the second adjacent expected performance parameter ( 1300), it is possible to determine the accuracy of the numerical value pi of the design variable xi and the target performance parameter 1100. More specifically, the engineering calculation module may calculate a first partial differential value, which is a partial differential value of the numerical reduction model in the numerical value pi of the design variable xi. That is, the engineering calculation module may calculate the partial differential value of the equation f(xi) in the numerical value pi of the design variable xi as the first partial differential value. In addition, the engineering calculation module may obtain a numerical value pi−1 smaller than the numerical value pi of the design variable xi and the first adjacent expected performance parameter 1200 . The numerical value pi−1 and the first predicted neighbor performance parameter 1200 may be stored in advance in the engineering calculation module or may be calculated based on the first model. In addition, the engineering calculation module calculates a partial derivative of the numerical value pi-1 based on the numerical value pi-1, the first adjacent expected performance parameter 1200, the numerical value pi of the design variable xi, and the target performance parameter 1100. 2 The partial derivative can be calculated. For example, the engineering calculation module divides the difference between the target performance parameter 1100 and the first adjacent expected performance parameter 1200 by the difference between the numerical value pi and the numerical value pi-1 of the design variable xi, and obtains a second value. It can be calculated as a partial derivative.

In addition, the engineering calculation module may obtain an expected performance parameter using the second model based on the shape information when the difference between the first partial derivative and the second partial derivative is greater than or equal to a predetermined ratio (eg, 5%). . In this regard, since the contents described in step S300 of FIG. 3 may be applied, a detailed description thereof will be omitted.

Also, the engineering calculation module may determine to update the first model when a difference between the first partial derivative and the second partial derivative is greater than or equal to a predetermined ratio (eg, 5%). As shown in the graph of FIG. 12, the engineering calculation module replaces the target performance parameter 1100 with the expected performance parameter 1400, and updates the first model based on the expected performance parameter 1400 and the numerical value pi of the design variable. can Accordingly, the updated first model may be changed as indicated by the red line in the graph of FIG. 12 .

In addition, when the difference between the first partial derivative and the second partial derivative is less than a predetermined ratio (eg, 5%), the engineering calculation module calculates a numerical value pi+1 greater than the numerical value pi of the design variable xi and a second predicted neighbor A performance parameter 1300 may be obtained. The numerical value pi+1 and the second predicted neighbor performance parameter 1300 may be stored in advance in the engineering calculation module or may be calculated based on the first model. In addition, the engineering calculation module is based on the numerical value pi + 1, the second adjacent expected performance parameter 1300, the numerical value pi of the design variable xi, and the target performance parameter 1100, a second value that is a partial derivative from the numerical value pi + 1 3 partial derivatives can be calculated. For example, the engineering calculation module divides the difference between the second adjacent expected performance parameter 1300 and the target performance parameter 1100 by the difference between the numerical value pi+1 and the numerical value pi of the design variable xi as a third value. It can be calculated as a partial derivative.

In addition, the engineering calculation module may obtain an expected performance parameter using the second model based on the shape information when the difference between the first partial derivative and the third partial derivative is greater than or equal to a predetermined ratio (eg, 5%). . In this regard, since the contents described in step S300 of FIG. 3 may be applied, a detailed description thereof will be omitted.

Also, the engineering calculation module may determine to update the first model when a difference between the first partial derivative and the third partial derivative is greater than or equal to a predetermined ratio (eg, 5%). As shown in the graph of FIG. 12, the engineering calculation module replaces the target performance parameter 1100 with the expected performance parameter 1400, and updates the first model based on the expected performance parameter 1400 and the numerical value pi of the design variable. can Accordingly, the updated first model may be changed as indicated by the red line in the graph of FIG. 12 .

Also, the engineering calculation module may determine not to update the first model when the difference between the first partial derivative and the second partial derivative is less than a predetermined ratio (eg, 5%).

In addition, in one embodiment, although it has been described that the engineering calculation module first calculates the second partial derivative value and then calculates the third partial derivative value in step S3000, it is not limited thereto, and after first calculating the third partial derivative value, the second partial derivative value is calculated. You can also calculate partial derivatives.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (11)

A method performed in a device for obtaining shape information of a mechanical device based on target performance information,
obtaining a first target performance parameter and a second target performance parameter of the mechanical device;
obtaining first shape information using a first model based on the first target performance parameter and the second target performance parameter;
obtaining a first expected performance parameter using a second model based on the first shape information; and
Updating the first model based on at least one of the first target performance parameter, the second target performance parameter, or the first expected performance parameter.
including,
In the step of updating the first model,
compare the first target performance parameter and the first expected performance parameter;
When a difference between the first target performance parameter and the first expected performance parameter is greater than or equal to a predetermined ratio, the first expected performance parameter is used to update the first model;
When the difference between the first target performance parameter and the first expected performance parameter is less than the predetermined ratio, the first expected performance parameter is not used for updating the first model.
method.
According to claim 1,
Updating the first model,
When the difference between the first target performance parameter and the first expected performance parameter is greater than or equal to a predetermined ratio, a parameter overlapping the first expected performance parameter among the first target performance parameter and the second target performance parameter is selected as the first expected performance parameter. Substituting the performance parameters,
Updating the first model based on a parameter that does not overlap with the first expected performance parameter among the first target performance parameter and the second target performance parameter, the first expected performance parameter, and the first shape information;
method.
delete According to claim 1,
If the mechanical device is an electric motor,
The first target performance parameter is,
Including at least one of the type, output, pole number, frequency, voltage, operating temperature or efficiency of the motor,
method.
According to claim 4,
The first target performance parameter is,
Further comprising at least one of the target shape information, the number of slots, winding information, area factor or current density of the mechanical device,
method.
According to claim 1,
If the mechanical device is an electric motor,
The second target performance parameter is,
Including at least one of material information, saturation temperature, volume information, weight information or physical property information of the motor,
method.
According to claim 1,
Obtaining a first expected performance parameter using a second model based on the first shape information,
inputting the first shape information into the second model and obtaining the first expected performance parameter from the second model;
method.
According to claim 7,
Obtaining a first expected performance parameter using a second model based on the first shape information,
additionally inputting the second target performance parameter to the second model, and obtaining the first expected performance parameter from the second model;
method.
According to claim 1,
Acquiring second shape information based on the first shape information
Including more,
Obtaining the first expected performance parameter,
inputting the second shape information into the second model and obtaining the first expected performance parameter from the second model;
method.
Claims 1, 2, and 4 to 9, wherein any one of the method according to claim 9, a computer-readable recording medium recorded with a program for executing the method.
An apparatus for obtaining shape information of a mechanical device based on target performance information,
includes an engineering calculation module;
The engineering calculation module,
obtaining a first target performance parameter and a second target performance parameter of the mechanical device;
obtaining first shape information using a first model based on the first target performance parameter and the second target performance parameter;
Obtaining a first expected performance parameter using a second model based on the first shape information;
Updating the first model based on at least one of the first target performance parameter, the second target performance parameter, or the first expected performance parameter;
compare the first target performance parameter and the first expected performance parameter;
When a difference between the first target performance parameter and the first expected performance parameter is greater than or equal to a predetermined ratio, the first expected performance parameter is used to update the first model;
When the difference between the first target performance parameter and the first expected performance parameter is less than the predetermined ratio, the first expected performance parameter is not used for updating the first model.
Device.

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