Method and device for designing digital prototype of supercritical carbon dioxide turbine equipment

Abstract

The invention belongs to the technical field of nuclear power, and particularly relates to a supercritical carbon dioxide turbine equipment digital prototype design method and device. Through-flow design, structural design and a geometric model of the turbine equipment are directly associated, a digital prototype of the turbine equipment is constructed from four dimensions of through-flow design, structural design, three-dimensional structural characteristics, working principles and a knowledge base, and optimization, improvement and design demonstration are carried out on a compressor and a turbine of the supercritical carbon dioxide turbine equipment. Design data is iterated in real time, tedious interface transmission and information interaction between specialties are avoided, and the iteration speed and the design efficiency are greatly improved; therefore, design digitization of the turbine equipment can be realized, and the method is an effective method for rapid design optimization of the turbine equipment. The formed design results comprise reports, models which can be reused, optimization supporting existing design and modification design on the basis of the existing design.

Description

Technical Field

[0001] The present invention belongs to the technical field of nuclear power, and particularly relates to a digital prototype design method and device for a supercritical carbon dioxide turbine device. Background Art

[0002] The supercritical carbon dioxide turbine device is a key core device of the supercritical carbon dioxide thermoelectric conversion system. Its operating characteristics are directly related to the system performance, and the optimization of the system performance is inseparable from the optimization of the turbine device characteristics. The performance design and optimization of traditional turbine devices involve the design and simulation of flow path specialty, structure specialty, shafting, blade profile, etc. The iteration between specialties is relatively slow, seriously affecting the optimization progress of the overall system. In view of this, it is urgent to improve the optimization efficiency of the supercritical carbon dioxide turbine device to meet the rapid design optimization and iteration requirements in the scheme design stage. Summary of the Invention

[0003] To overcome the problems existing in the related art, a digital prototype design method and device for a supercritical carbon dioxide turbine device are provided.

[0004] According to one aspect of the embodiments of the present disclosure, a digital prototype design method for a supercritical carbon dioxide turbine device is provided. The method includes:

[0005] Step 1: Determine the type of turbine device required for the current design according to the design input of the turbine device;

[0006] Step 2: For the determined structural type, perform flow path design of the turbine device using a flow path analysis model, and through iteration, obtain the key geometric parameters of the turbine device corresponding to the optimal pressure ratio and efficiency;

[0007] Step 3: According to the key geometric parameters, repeatedly perform structural design and structural characteristic analysis on the turbine device until the simulation results of the stress characteristics, expansion characteristics, and sealing performance of the turbine device meet the requirements of the design specifications, and output the structural design parameters corresponding to the simulation results;

[0008] Step 4: Transmit the structural design parameters to the parametric three-dimensional structure model and automatically update the parametric three-dimensional structure model;

[0009] Step 5: Output a design report, which is used to describe the design process and output results of Steps 1 to 4.

[0010] In a possible implementation manner, the method further includes:

[0011] Step 6: Store the design report in a knowledge base, and through classified retrieval and reuse, perform design optimization for the existing design or modified design based on the existing design.

[0012] In a possible implementation, in step 1, the turbine equipment design inputs include mass flow rate, outlet enthalpy value, inlet enthalpy value, and volume flow rate; step 1 further includes:

[0013] Step 11, determining the equipment power according to the mass flow rate, outlet enthalpy value, and inlet enthalpy value, and determining the specific speed of the equipment according to the volume flow rate;

[0014] Step 12, determining the type of turbine equipment required for the current design according to the determined equipment power, specific speed of the equipment, the pre-stored correspondence between the equipment power, specific speed of the equipment, and the type of turbine equipment.

[0015] In a possible implementation, in step 2, the flow-through analysis model includes: a physical property interface, a geometric description module, a physical model, and a user interface;

[0016] The physical property interface includes a physical property library for providing thermodynamic parameters and transport parameters of industrially common fluid media; the geometric description module includes geometric parameters of each component of the compressor; the physical model includes mathematical and physical model descriptions of each component of the compressor;

[0017] The user interface includes an input module and an output module; the input module is used to input the fluid name and operating conditions parameters; the output module is used to respectively call the physical property interface, geometric description module, and physical model according to the fluid name and operating conditions parameters input by the input module, determine the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency, and output the determined key geometric parameters.

[0018] In a possible implementation, in step 3,

[0019] The structural characteristic simulation of the compressor includes: impeller geometric model simulation analysis, impeller finite element model building and simulation analysis, impeller structural statics analysis, and impeller modal analysis;

[0020] The structural characteristic simulation of the turbine includes: impeller geometric model, impeller finite element model building, impeller structural statics analysis, impeller thermal analysis, and impeller modal analysis.

[0021] According to another aspect of the embodiments of the present disclosure, there is provided a digital prototype design device for a supercritical carbon dioxide turbine equipment, the device includes:

[0022] A sizing module for determining the type of turbine equipment required for the current design according to the turbine equipment design input;

[0023] A flow-through design module for performing flow-through design of the turbine equipment using the flow-through analysis model for the determined structural type, and obtaining the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency through iteration;

[0024] A structure design module, which is used to repeatedly perform structure design and structural characteristic analysis on a turbine device according to key geometric parameters until the simulation results of the stress characteristics, expansion characteristics, and sealing performance of the turbine device meet the requirements of the design specifications, and output the structural design parameters corresponding to the simulation results;

[0025] An update module, which is used to transfer the structural design parameters to the parametric three-dimensional structure model and automatically update the parametric three-dimensional structure model;

[0026] An output module, which is used to output a design report, and the design report is used to describe the design process and results of the above modules.

[0027] In a possible implementation manner, the device further includes:

[0028] A reuse module, which is used to store the design report in a knowledge base, retrieve and reuse it through classification, and perform design optimization for existing designs or modified designs based on existing designs.

[0029] In a possible implementation manner, in the finalization module, the design input of the turbine device includes mass flow rate, outlet enthalpy value, inlet enthalpy value, and volume flow rate; the finalization module further includes:

[0030] A first finalization sub-module, which is used to determine the device power according to the mass flow rate, outlet enthalpy value, and inlet enthalpy value, and determine the specific speed of the device according to the volume flow rate;

[0031] A second finalization sub-module, which is used to determine the type of turbine device required for the current design according to the determined device power, device specific speed, and the corresponding relationship between the pre-stored device power, device specific speed, and turbine device type.

[0032] In a possible implementation manner, in the flow path design module, the flow path analysis model includes: a physical property interface, a geometric description module, a physical model, and a user interface;

[0033] The physical property interface includes a physical property library, which is used to provide the thermodynamic parameters and transport parameters of industrial common fluid media; the geometric description module includes the geometric parameters of each component of the compressor; the physical model includes the mathematical and physical model descriptions of each component of the compressor;

[0034] The user interface includes an input module and an output module; the input module is used to input the fluid name and operating conditions parameters; the output module is used to call the physical property interface, geometric description module, and physical model respectively according to the fluid name and operating conditions parameters input by the input module, determine the key geometric parameters of the turbine device corresponding to the optimal pressure ratio and efficiency, and output the determined key geometric parameters.

[0035] In a possible implementation manner, in the structure design module,

[0036] The simulation of the structural characteristics of the compressor includes: the simulation analysis of the impeller geometric model, the simulation analysis of the impeller finite element model, the static structural analysis of the impeller, and the modal analysis of the impeller;

[0037] The simulation of the structural characteristics of the turbine includes: the impeller geometric model, the modeling of the impeller finite element model, the static structural analysis of the impeller, the thermal analysis of the impeller, and the modal analysis of the impeller.

[0038] According to another aspect of the embodiments of the present disclosure, there is provided a digital prototype design device for a supercritical carbon dioxide turbine device, the device comprising:

[0039] A processor;

[0040] A memory for storing processor-executable instructions;

[0041] Wherein, the processor is configured to execute the above-mentioned method.

[0042] According to another aspect of the embodiments of the present disclosure, there is provided a non-volatile computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the above-mentioned method is implemented.

[0043] The beneficial effects of the present disclosure are as follows: The present disclosure provides a direct association of the flow path design, structural design, and geometric model of the turbine device, constructs a digital prototype of the turbine device from four dimensions: flow path design, structural design, three-dimensional structural features, working principle, and knowledge base, and optimizes, improves, and designs and demonstrates the compressor and turbine of the supercritical carbon dioxide turbine device. The design data is iterated in real time, avoiding the cumbersome interface transfer and information interaction between specialties, and greatly improving the iteration speed and design efficiency; thereby, the digital design of the turbine device can be realized, which is an effective method for rapid design optimization of the turbine device. The formed design results, including reports and models, can be reused, supporting the optimization of existing designs and the modification design based on existing designs. Brief Description of the Drawings

[0044] Figure 1 is a flowchart of a digital prototype design method for a supercritical carbon dioxide turbine device shown in the present disclosure.

[0045] Figure 2 is a schematic diagram of a flow path analysis model shown in the present disclosure.

[0046] Figure 3 is a schematic diagram of a compressor geometric model shown in the present disclosure.

[0047] Figure 4 is a schematic diagram of a compressor grid model shown in the present disclosure.

[0048] Figure 5It is a schematic diagram of the thermal analysis results of an impeller shown in the present disclosure.

[0049] Figure 6 It is a schematic diagram of a parametric three-dimensional structural model of a compressor shown in the present disclosure.

[0050] Figure 7 It is a block diagram of a digital prototype design device for a supercritical carbon dioxide turbine equipment shown in the present disclosure. Detailed implementation manners

[0051] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0052] Figure 1 It is a flowchart of a digital prototype design method for a supercritical carbon dioxide turbine equipment shown in the present disclosure. This method can be executed by a terminal device. Among them, the terminal device can be a server, a desktop computer, a laptop computer, a tablet computer, etc. The terminal device can also be, for example, a user device, a vehicle-mounted device or a wearable device, etc. The present disclosure embodiment does not limit the type of the terminal device. As Figure 1 shown, this method includes:

[0053] Step 1: Determine the type of turbine equipment required for the current design according to the turbine equipment design input. The type of turbine equipment can include, for example, centrifugal and axial flow types.

[0054] For example, in Step 1, the turbine equipment design input can include mass flow rate, outlet enthalpy value, inlet enthalpy value, and volume flow rate. Step 1 can also include:

[0055] Step 11, determine the equipment power according to the mass flow rate, outlet enthalpy value, and inlet enthalpy value, and determine the specific speed of the equipment according to the volume flow rate; Step 12, determine the type of turbine equipment required for the current design according to the determined equipment power, specific speed of the equipment, pre-stored corresponding relationship between the equipment power, specific speed of the equipment, and the type of turbine equipment.

[0056] For example, the equipment power P (unit: kW) can be determined by the following formula:

[0057] P = m × (h out - h in )

[0058] where m is the mass flow rate, unit: kg / s; h out is the outlet enthalpy value, and h in is the inlet enthalpy value.

[0059] The specific speed N s (unit: rpm) of the equipment can be determined by the following formula:

[0060]

[0061] wherein, Q is the volume flow rate, with the unit of m 3 / s; H is the isentropic enthalpy drop, with the unit of J / kg.

[0062] It should be noted that other applicable calculation formulas can also be selected to determine the equipment power and the specific speed of the equipment, and the present disclosure does not limit the specific form of the calculation formula.

[0063] Step 2: For the determined structural type, according to the input fluid name and operating conditions parameters, a through-flow analysis model is used for the through-flow design of the turbine equipment. Through iteration, the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency are obtained.

[0064] For example, in Step 2, the through-flow analysis model pre-stores industrial fluid medium data, compressor parameter data, and a flow calculation model (the present disclosure does not limit the specific form of the flow calculation model). It can call the industrial fluid medium data and compressor parameter data according to the input fluid name and operating conditions parameters, and determine the key geometric parameters of the turbine equipment corresponding to multiple pressure ratios and efficiencies through the flow calculation model, and determine the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency that meet the design requirements from them. Among them, the design requirements can be set in advance in the system of the terminal device.

[0065] In a possible implementation manner, as Figure 2 shown, the through-flow analysis model in Step 2 may include: a physical property interface, a geometric description module, a physical model, and a user interface. The physical property interface includes a physical property library, and the physical property library can be, for example, the NISTREFPROP database. The physical property library provides the thermodynamic parameters and transport parameters of industrially common fluid media in the form of graphs or tables. Industrially common fluid media can, for example, include hydrocarbons, refrigerants, natural gases, water, carbon dioxide, helium, nitrogen, Freon, and various mixed working fluids, etc.; the geometric description module includes the geometric parameters of each component of the compressor, such as the inner diameter of the blade inlet, the hub diameter, the number of blades, the blade inlet angle, the outlet angle, etc.; the physical model includes the mathematical and physical model descriptions of each component of the compressor, such as the impeller model, the diffuser model, and the volute model.

[0066] The user interface includes an input module and an output module. The input module is used to input the fluid name and operating conditions parameters (such as rotational speed, inlet pressure, flow rate, inlet temperature, etc.); the output module is used to call the physical property interface, the geometric description module, and the physical model respectively according to the fluid name and operating conditions parameters input by the input module, determine the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency, and can output the determined key geometric parameters in the form of, for example, text and / or graphics.

[0067] Step 3: According to the key geometric parameters, repeatedly conduct structural design and structural characteristic analysis on the turbine equipment until the simulation results of the stress characteristics, expansion characteristics, and sealing performance of the turbine equipment meet the requirements of the design specifications, and output the structural design parameters corresponding to the simulation results.

[0068] The structural characteristic simulation of the compressor includes: impeller geometric model simulation analysis, impeller finite element model building and simulation analysis, impeller structural statics analysis, and impeller modal analysis; the compressor geometric model is as Figure 3 shown, the mesh model of the compressor is as Figure 4 shown, and the compressor modal analysis results are shown in Table 1.

[0069] Table 1

[0070] Order Frequency / Hz Order Frequency / Hz Order Frequency / Hz 1 8833 8 10563 15 12331 2 8833.9 9 11209 16 12334 3 9588.4 10 11402 17 12498 4 9660.2 11 11403 18 12498 5 9660.7 12 11897 19 13041 6 9712.5 13 12225 20 13130 7 10563 14 12227

[0071] The structural characteristic simulation of the turbine includes: impeller geometric model, impeller finite element model building, impeller structural statics analysis, impeller thermal analysis, and impeller modal analysis; the impeller thermal analysis results are as Figure 5 shown.

[0072] Step 4: Transfer the structural design parameters to the parametric three-dimensional structural model, and automatically update the parametric three-dimensional structural model. The parametric three-dimensional structural model of the compressor is as Figure 6 shown.

[0073] Step 5: Output a design report, which is used to describe the design process and results of Steps 1 to 4.

[0074] Step 6: The reports, models, and data formed in the above design will be stored in the knowledge base, and through classified retrieval and reuse, design optimization for existing designs or modified designs based on existing designs will be carried out.

[0075] The present disclosure directly correlates the flow path design, structural design, and geometric model of the turbine equipment, constructs a digital prototype of the turbine equipment from four dimensions: flow path design, structural design, three-dimensional structural characteristics, working principle, and knowledge base, and optimizes and improves and demonstrates the design of the compressor and turbine of the supercritical carbon dioxide turbine equipment. The design data is iterated in real time, avoiding cumbersome interface transfer and information interaction between specialties, and greatly improving the iteration speed and design efficiency; thereby, the digitalization of the turbine equipment design can be realized, which is an effective method for rapid design optimization of the turbine equipment. The formed design results, including reports and models, can be reused to support the optimization of existing designs and modified designs based on existing designs.

[0076] In a possible implementation manner, a digital prototype design device for a supercritical carbon dioxide turbine equipment is provided, and the device includes:

[0077] The sizing module is used to determine the type of turbine equipment required for the current design based on the turbine equipment design input; the flow path design module is used to perform the flow path design of the turbine equipment using a through-flow analysis model for the determined structural type, and through iteration, obtain the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency;

[0078] The structural design module is used to repeatedly perform the structural design and structural characteristic analysis of the turbine equipment based on the key geometric parameters until the simulation results of the stress characteristics, expansion characteristics, and sealing performance of the turbine equipment meet the requirements of the design specifications, and output the structural design parameters corresponding to the simulation results;

[0079] The update module is used to transfer the structural design parameters to the parametric 3D structural model and automatically update the parametric 3D structural model;

[0080] The output module is used to output a design report, and the design report is used to describe the design process and results of the above modules.

[0081] In a possible implementation manner, the device further includes:

[0082] The reuse module is used to store the design report in the knowledge base, and through classification retrieval and reuse, perform design optimization for existing designs or modified designs based on existing designs.

[0083] In a possible implementation manner, in the sizing module, the turbine equipment design input includes mass flow rate, outlet enthalpy value, inlet enthalpy value, and volume flow rate; the sizing module further includes:

[0084] The first sizing sub-module is used to determine the equipment power based on the mass flow rate, outlet enthalpy value, and inlet enthalpy value, and determine the specific speed of the equipment based on the volume flow rate;

[0085] The second sizing sub-module is used to determine the type of turbine equipment required for the current design based on the determined equipment power, specific speed of the equipment, the corresponding relationship between the pre-stored equipment power, specific speed of the equipment, and the type of turbine equipment.

[0086] In a possible implementation manner, in the flow path design module, the through-flow analysis model includes: a physical property interface, a geometric description module, a physical model, and a user interface;

[0087] The physical property interface includes a physical property library for providing the thermodynamic parameters and transport parameters of industrially common fluid media; the geometric description module includes the geometric parameters of each component of the compressor; the physical model includes the mathematical and physical model descriptions of each component of the compressor;

[0088] The user interface includes an input module and an output module; the input module is used to input the fluid name and operating conditions parameters; the output module is used to respectively call the physical property interface, the geometric description module, and the physical model according to the fluid name and operating conditions parameters input by the input module, determine the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency, and output the determined key geometric parameters.

[0089] In a possible implementation, in the structural design module,

[0090] The structural characteristic simulation of the compressor includes: impeller geometric model simulation analysis, impeller finite element model building simulation analysis, impeller structural statics analysis, and impeller modal analysis;

[0091] The structural characteristic simulation of the turbine includes: impeller geometric model, impeller finite element model building, impeller structural statics analysis, impeller thermal analysis, and impeller modal analysis.

[0092] The description of the above device has been elaborated in detail in the description of the above method, and will not be repeated here.

[0093] Figure 7 It is a block diagram of a digital prototype design device for a supercritical carbon dioxide turbine equipment shown in the present disclosure. For example, device 1900 can be provided as a server. Referring to Figure 7 , device 1900 includes a processing component 1922, which further includes one or more processors, and memory resources represented by a memory 1932 for storing instructions executable by the processing component 1922, such as application programs. The application programs stored in the memory 1932 can include one or more modules each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

[0094] Device 1900 may also include a power supply component 1926 configured to perform power management of device 1900, a wired or wireless network interface 1950 configured to connect device 1900 to a network, and an input / output (I / O) interface 1958. Device 1900 can operate based on an operating system stored in the memory 1932, such as Windows ServerTM, MacOS XTM, UnixTM, LinuxTM, FreeBSDTM or the like.

[0095] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions, and the above computer program instructions can be executed by the processing component 1922 of device 1900 to complete the above method.

[0096] The present disclosure may be a system, a method, and / or a computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions thereon for causing a processor to implement aspects of the present disclosure.

[0097] A computer-readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. A computer-readable storage medium may be, for example—but not limited to—an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as a punch card or raised structures in a groove having instructions stored thereon, and any suitable combination of the foregoing. The computer-readable storage medium as used herein is not to be construed as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through an optical fiber cable), or an electrical signal transmitted through a wire.

[0098] The computer-readable program instructions described herein may be downloaded to respective computing / processing devices from a computer-readable storage medium or may be downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0099] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine - related instructions, microcode, firmware instructions, state - setting data, or source code or object code written in any combination of one or more programming languages, including object - oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer - readable program instructions may be executed entirely on the user's computer, partially on the user's computer, executed as a stand - alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or, alternatively, may be connected to an external computer (e.g., through the Internet using an Internet service provider). In some embodiments, by using the state information of the computer - readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field - programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer - readable program instructions to implement various aspects of the present disclosure.

[0100] Aspects of the present disclosure are described herein with reference to the flowchart and / or block diagram of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block of the flowchart and / or block diagram, and combinations of blocks in the flowchart and / or block diagram, can be implemented by computer - readable program instructions.

[0101] These computer - readable program instructions can be provided to a processor of a general - purpose computer, a special - purpose computer, or other programmable data - processing apparatus to produce a machine such that the instructions, when executed by the processor of the computer or other programmable data - processing apparatus, create a means for implementing the functions / acts specified in one or more blocks of the flowchart and / or block diagram. These computer - readable program instructions can also be stored in a computer - readable storage medium, which causes a computer, a programmable data - processing apparatus, and / or other devices to operate in a particular manner, so that the computer - readable medium storing the instructions comprises a manufacture, which includes instructions for implementing various aspects of the functions / acts specified in one or more blocks of the flowchart and / or block diagram.

[0102] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other devices to produce a computer-implemented process such that the instructions executed on the computer, other programmable data processing apparatus, or other devices implement the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0103] The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of code, or a portion of an instruction, which contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two consecutive blocks may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block of the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or acts, or by a combination of dedicated hardware and computer instructions.

[0104] The embodiments of the present disclosure have been described above. The above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the market, or to enable other ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A digital prototype design method for a supercritical carbon dioxide turbine device, characterized in that: The method comprises: Step 1: Determine the turbine equipment type required for the current design based on the turbine equipment design input; Step 2: Based on the determined structural type, the flow analysis model is used to design the flow of the turbine equipment, and the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency are obtained through iteration; Step 3: Repeat the structural design and structural characteristics analysis of the turbine equipment according to the key geometric parameters until the simulation results of the stress characteristics, expansion characteristics and sealing performance of the turbine equipment meet the requirements of the design specifications, and output the structural design parameters corresponding to the simulation results; Step 4: Transfer the structural design parameters to the parametric 3D structural model, and automatically update the parametric 3D structural model; Step 5: Output a design report, which is used to describe the design process and output results of steps 1 to 4.

2. The method according to claim 1, characterized in that The method further comprises: Step 6: The design report is stored in a knowledge base, and is reused through classification retrieval to achieve design optimization for an existing design or a modified design based on an existing design.

3. The method according to claim 1, characterized in that In step 1, the turbine equipment design input includes mass flow rate, outlet enthalpy value, inlet enthalpy value, and volume flow rate; step 1 also includes: Step 11, determining the equipment power according to the mass flow rate, the outlet enthalpy value, and the inlet enthalpy value, and determining the equipment specific speed according to the volume flow rate; Step 12, determining the turbine equipment type required for the current design based on the determined equipment power, equipment specific speed, and the pre-stored correspondence between the equipment power, equipment specific speed, and turbine equipment type.

4. The method according to claim 1, characterized in that: In step 2, the flow analysis model includes: physical property interface, geometric description module, physical model, and user interface; The physical property interface includes a physical property library, which is used to provide thermodynamic parameters and transport parameters of commonly used industrial fluid media; the geometric description module includes the geometric parameters of each component of the compressor; the physical model includes the mathematical and physical model description of each component of the compressor; The user interface includes an input module and an output module; the input module is used to input the fluid name and operating parameters; the output module is used to call the physical property interface, geometric description module, and physical model according to the fluid name and operating parameters input by the input module, determine the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency, and output the determined key geometric parameters.

5. The method according to claim 1, characterized in that In step 3, The simulation of the structural characteristics of the compressor includes: impeller geometry model simulation analysis, impeller finite element model modeling simulation analysis, impeller structure statics analysis and impeller modal analysis; The simulation of the structural characteristics of the turbine includes: impeller geometric model, impeller finite element model building, impeller structural statics analysis, impeller thermal analysis and impeller modal analysis.

6. A digital prototype design device for supercritical carbon dioxide turbine equipment, characterized in that: The device comprises: A finalization module is used to determine the turbine equipment type required for the current design according to the turbine equipment design input; The flow design module is used to design the flow of turbine equipment according to the determined structural type using the flow analysis model, and obtain the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency through iteration; The structural design module is used to repeatedly perform structural design and structural characteristic analysis on the turbine equipment according to key geometric parameters until the simulation results of the stress characteristics, expansion characteristics and sealing performance of the turbine equipment meet the requirements of the design specifications, and output the structural design parameters corresponding to the simulation results; An updating module, used for transferring the structural design parameters to the parametric three-dimensional structural model and automatically updating the parametric three-dimensional structural model; The output module is used to output a design report, wherein the design report is used to describe the design process and results of the above module.

7. The device according to claim 6, characterized in that The device also includes: The reuse module is used to store the design report in the knowledge base, and to achieve design optimization for the existing design or modified design based on the existing design through classification retrieval and reuse.

8. The device according to claim 6, characterized in that In the sizing module, the turbine equipment design input includes mass flow, outlet enthalpy, inlet enthalpy, and volume flow; the sizing module also includes: The first shaping submodule is used to determine the equipment power according to the mass flow rate, the outlet enthalpy value, and the inlet enthalpy value, and to determine the equipment specific speed according to the volume flow rate; The second finalization submodule is used to determine the turbine equipment type required for the current design according to the determined equipment power, equipment specific speed, and the correspondence between the pre-stored equipment power, equipment specific speed and turbine equipment type.

9. The device according to claim 6, characterized in that In the circulation design module, the flow analysis model includes: physical property interface, geometric description module, physical model, and user interface; The physical property interface includes a physical property library, which is used to provide thermodynamic parameters and transport parameters of commonly used industrial fluid media; the geometric description module includes the geometric parameters of each component of the compressor; the physical model includes the mathematical and physical model description of each component of the compressor; The user interface includes an input module and an output module; the input module is used to input the fluid name and operating parameters; the output module is used to call the physical property interface, geometric description module, and physical model according to the fluid name and operating parameters input by the input module, determine the key geometric parameters of the turbine equipment corresponding to the optimal pressure ratio and efficiency, and output the determined key geometric parameters.

10. The device according to claim 6, characterized in that In the structural design module, The simulation of the structural characteristics of the compressor includes: impeller geometry model simulation analysis, impeller finite element model modeling simulation analysis, impeller structure statics analysis and impeller modal analysis; The simulation of the structural characteristics of the turbine includes: impeller geometric model, impeller finite element model building, impeller structural statics analysis, impeller thermal analysis and impeller modal analysis.

11. A digital prototype design device for supercritical carbon dioxide turbine equipment, characterized in that: The device comprises: processor; a memory for storing processor-executable instructions; The processor is configured to execute the method according to any one of claims 1 to 5.

12. A non-volatile computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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