Parameter optimization method and device for spiral tube of annular precooling heat exchanger

Abstract

A method and device for optimizing the parameters of a spiral tube of an annular precooling heat exchanger relates to the field of aircraft engine technology. To address the technical problem in the prior art of lacking a design concept for quickly and efficiently optimizing the precooler structure, the present invention provides a technical solution: a method for optimizing the parameters of a spiral tube of an annular precooling heat exchanger, the method comprising: step one: collecting preset heat exchanger parameters and their interactions; step two: obtaining an order of weights between parameters; step three: obtaining the optimal value of the parameter with the largest weight; step four: selecting one of the parameters as a designated parameter and changing the designated parameter until a value closest to the heat exchanger index is obtained, which is used as the optimal value of the designated parameter; step five: selecting, according to the order, other parameters except the parameter with the largest weight as designated parameters, and repeating step four until the optimal values ​​of all parameters are obtained. The method is suitable for application in the optimization of spiral tubes of annular precooling heat exchangers.

Description

Technical Field

[0001] The invention relates to the technical field of aircraft engines and to a method for optimizing parameters of spiral tubes of an annular precooling heat exchanger. Background Art

[0002] Precooling heat exchangers are a key component of the aeroengine's thermodynamic cycle, rapidly extracting sufficient heat from incoming air to reduce its temperature. However, the overall development of my country's precooling heat exchanger design and manufacturing industry has been relatively slow, primarily relying on conventional, empirical design methods. This lags significantly behind advanced international standards, hindering the healthy development of the industry.

[0003] There are still some difficulties in the optimal design of precooler:

[0004] (1) The main idea of ​​the conventional design method is to design a certain structure and channel type based on experience, and then gradually estimate its heat transfer performance and pressure drop performance. Then, compare them with the heat transfer and pressure drop performance in the conditions. When the two are consistent, the design parameters are determined (also known as the enumeration method). This method is time-consuming and labor-intensive.

[0005] (2) The optimization design theory based on fire accumulation dissipation and mathematical programming proposed by Professor Guo Zengyuan of Tsinghua University is an effective combination of thermodynamics theory and system theory. However, since the research and design practice involved in this theory are still in progress and there is currently a lack of practical support, its accuracy and operability need to be further confirmed in the future.

[0006] (3) There is still much room for development in theoretical research and design optimization related to the design of precooling heat exchangers in my country. How to optimize the precooler structure quickly and efficiently becomes the key;

[0007] Therefore, there is a lack of a method for optimizing the parameters of the spiral tubes of the annular precooling heat exchanger in the prior art. Summary of the Invention

[0008] To solve the technical problems in the prior art, that the dominant idea of ​​conventional precooler optimization design methods is time-consuming and labor-intensive, that the optimization design based on fire dissipation and mathematical programming has not been reasonably verified, and that there is a lack of design ideas for optimizing the precooler structure quickly and efficiently, the present invention provides the following technical solutions:

[0009] The invention discloses a parameter optimization method for the spiral tube of an annular precooling heat exchanger, wherein the method is based on the spiral tube diameter, tube length, axial tube spacing, outer diameter and axial length of the heat exchanger and the interaction between them.

[0010] Based on the same inventive concept, the present invention also provides a device for optimizing the parameters of the spiral tubes of an annular pre-cooling heat exchanger, which optimizes the spiral tube diameter, tube length, axial tube spacing, outer diameter and axial length of the heat exchanger and the interactions therebetween.

[0011] Based on the same inventive concept, the present invention also provides a method for optimizing the parameters of the spiral tube of an annular precooling heat exchanger, the method comprising:

[0012] Step 1: Collecting preset heat exchanger parameters and the interaction between the parameters and preset heat exchanger indicators;

[0013] Step 2: According to the interaction relationship, the weight order of the parameters is obtained;

[0014] Step 3: Obtaining the optimal value of the parameter with the largest weight according to the heat exchanger index;

[0015] Step 4: Select one of the parameters as the designated parameter, fix the other parameters except the parameter with the largest weight and the designated parameter, and change the designated parameter until a value closest to the heat exchanger index is obtained as the optimal value of the designated parameter;

[0016] Step 5: According to the order, select the other parameters except the parameter with the largest weight as the designated parameters, and repeat the step 4 until the optimal values ​​of all parameters are obtained.

[0017] Furthermore, a preferred embodiment is provided, wherein the method further comprises:

[0018] Step 6: Based on the optimal values ​​of all current parameters, a prediction indicator is obtained according to the interaction relationship;

[0019] Step 7: looping through steps 4 to 6 until the last prediction index is the same as the last prediction index, and taking the optimal value of all current parameters as the final result.

[0020] Furthermore, a preferred embodiment is provided, in the step 4, during the change of the specified parameter, the change range thereof is obtained based on the interactive relationship.

[0021] Furthermore, a preferred embodiment is provided, wherein the preset heat exchanger parameters include the spiral tube diameter, tube length, axial tube spacing, heat exchanger outer diameter and heat exchanger axial length.

[0022] Furthermore, a preferred embodiment is provided, wherein the preset heat exchanger index is determined according to the specifications of the heat exchanger.

[0023] Furthermore, a preferred embodiment is provided, wherein the preset heat exchanger indicators include total pressure recovery coefficient, in-tube flow resistance and power-to-weight ratio.

[0024] Furthermore, a preferred embodiment is provided, wherein step 2 is implemented according to the DOE method.

[0025] Based on the same inventive concept, the present invention also provides a device for optimizing the parameters of a spiral tube of an annular precooling heat exchanger, the device comprising:

[0026] Module 1: used to collect preset heat exchanger parameters and the interaction between the parameters and preset heat exchanger indicators;

[0027] Module 2: used to obtain the weight order of the parameters according to the interaction relationship;

[0028] Module three: used to obtain the optimal value of the parameter with the largest weight according to the heat exchanger index;

[0029] Module 4: for selecting one of the parameters as the designated parameter, fixing the other parameters except the parameter with the largest weight and the designated parameter, and changing the designated parameter until a value closest to the heat exchanger index is obtained as the optimal value of the designated parameter;

[0030] Module 5: for selecting, in accordance with the order, the parameters other than the parameter with the largest weight as designated parameters, and looping the function of module 4 until the optimal values ​​of all parameters are obtained.

[0031] Furthermore, a preferred embodiment is provided, wherein the device further comprises:

[0032] Module 6: for obtaining a prediction indicator according to the optimal values ​​of all current parameters and the interaction relationship;

[0033] Module 7: used to loop the functions of modules 4 to 6 until the last prediction index is the same as the last prediction index, and the optimal value of all current parameters is taken as the final result.

[0034] Furthermore, a preferred embodiment is provided, wherein the module 2 is implemented according to the DOE method.

[0035] Based on the same inventive concept, the present invention also provides a computer storage medium for storing a computer program, wherein the computer program is read by a computer so as to execute the method for optimizing the parameters of the spiral tubes of the annular precooling heat exchanger.

[0036] Based on the same inventive concept, the present invention also provides an annular pre-cooling heat exchanger, including a central processing unit, which includes a processor and a storage medium. When the processor reads the computer program stored in the storage medium, the central processing unit executes the annular pre-cooling heat exchanger spiral tube parameter optimization method.

[0037] Compared with the prior art, the technical solution provided by the present invention is beneficial in that:

[0038] The method for optimizing the parameters of the spiral tubes of an annular precooling heat exchanger provided by the present invention solves the technical defects and technical disadvantages existing in the prior art and proposes an optimization method. On the basis of meeting the heat transfer requirements of the spiral tubes of the annular precooling heat exchanger, the heat exchanger optimizes the structural parameters of the heat exchanger to obtain the optimal values ​​of the total pressure recovery coefficient, the flow resistance in the tube and the power-to-weight ratio as much as possible.

[0039] The method for optimizing the parameters of the spiral tubes of an annular precooling heat exchanger provided by this invention achieves optimal values ​​for the total pressure recovery coefficient, internal tube flow resistance, and power-to-weight ratio by optimizing the heat exchanger's structural parameters while meeting the required heat transfer capacity. This ultimately improves fuel utilization efficiency and avoids energy waste.

[0040] The method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger provided by the present invention introduces a cycle, and compares whether the structural design parameters obtained twice are consistent. If they are consistent, the optimized structure of the heat exchanger is obtained.

[0041] It is suitable for use in the optimization of spiral tubes of annular precooling heat exchangers. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a semi-ecological diagram of the total pressure recovery coefficient of the annular precooling heat exchanger spiral tube parameter optimization method mentioned in the ninth embodiment.

[0043] Figure 2 This is a Pareto chart of the total pressure recovery coefficient of the annular precooling heat exchanger spiral tube parameter optimization method mentioned in the ninth embodiment.

[0044] Figure 3 It is a semi-ecological diagram of the flow resistance inside the tube of the annular pre-cooling heat exchanger spiral tube parameter optimization method mentioned in the ninth embodiment.

[0045] Figure 4 It is a Pareto diagram of the flow resistance inside the tube of the spiral tube parameter optimization method of the annular precooling heat exchanger mentioned in the ninth embodiment.

[0046] Figure 5 It is a semi-ecological diagram of the power-to-weight ratio of the annular precooling heat exchanger spiral tube parameter optimization method mentioned in the ninth embodiment.

[0047] Figure 6It is a power-to-weight ratio Pareto chart of the parameter optimization method of the spiral tube of the annular precooling heat exchanger mentioned in the ninth embodiment.

[0048] Figure 7 It is a flow chart of the method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger mentioned in the ninth embodiment.

[0049] Figure 8 This is a schematic diagram of the overall structure of the annular pre-cooling heat exchanger provided in the fourteenth embodiment. DETAILED DESCRIPTION

[0050] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0051] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0052] Implementation method 1: This implementation method provides a method for optimizing the parameters of the spiral tube of an annular precooling heat exchanger, which is based on the optimization of the spiral tube diameter, tube length, axial tube spacing, heat exchanger outer diameter and heat exchanger axial length and the interaction between them.

[0053] Embodiment 2: This embodiment provides a device for optimizing the parameters of the spiral tubes of an annular pre-cooling heat exchanger, which optimizes based on the spiral tube diameter, tube length, axial tube spacing, outer diameter and axial length of the heat exchanger and the interactions therebetween.

[0054] Embodiment 3: This embodiment provides a method for optimizing the parameters of the spiral tube of an annular precooling heat exchanger, the method comprising:

[0055] Step 1: Collecting preset heat exchanger parameters and the interaction between the parameters and preset heat exchanger indicators;

[0056] Step 2: According to the interaction relationship, the weight order of the parameters is obtained;

[0057] Step 3: Obtaining the optimal value of the parameter with the largest weight according to the heat exchanger index;

[0058] Step 4: Select one of the parameters as the designated parameter, fix the other parameters except the parameter with the largest weight and the designated parameter, and change the designated parameter until a value closest to the heat exchanger index is obtained as the optimal value of the designated parameter;

[0059] Step 5: According to the order, select the other parameters except the parameter with the largest weight as the designated parameters, and repeat the step 4 until the optimal values ​​of all parameters are obtained.

[0060] Embodiment 4: This embodiment further defines the method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger provided in Embodiment 3. The method further includes:

[0061] Step 6: Based on the optimal values ​​of all current parameters, a prediction indicator is obtained according to the interaction relationship;

[0062] Step 7: looping through steps 4 to 6 until the last prediction index is the same as the last prediction index, and taking the optimal value of all current parameters as the final result.

[0063] Implementation method five: This implementation method further limits the parameter optimization method of the spiral tube of the annular pre-cooling heat exchanger provided in implementation method three. In step four, during the change of the specified parameters, the change range is obtained based on the interactive relationship.

[0064] Implementation method six: This implementation method further limits the annular pre-cooling heat exchanger spiral tube parameter optimization method provided in implementation method three. The preset heat exchanger parameters include spiral tube diameter, tube length, axial tube spacing, heat exchanger outer diameter and heat exchanger axial length.

[0065] Implementation method seven: This implementation method further limits the parameter optimization method of the spiral tube of the annular pre-cooling heat exchanger provided in implementation method three. The preset heat exchanger index is determined according to the specifications of the heat exchanger.

[0066] Implementation 8. This implementation further limits the parameter optimization method of the spiral tube of the annular pre-cooling heat exchanger provided in Implementation 3. The preset heat exchanger indicators include the total pressure recovery coefficient, the flow resistance in the tube, and the power-to-weight ratio.

[0067] Implementation Method 9: Combination Figure 1-7 This embodiment is described as a further limitation of the parameter optimization method of the spiral tube of the annular pre-cooling heat exchanger provided in the third embodiment. Step 2 is implemented according to the DOE method.

[0068] Specifically:

[0069] like Figure 7As shown, the parameter optimization method of the spiral tube of the annular pre-cooling heat exchanger provided in this embodiment includes the following steps: first, determine the control parameters and study the influence of various parameters on the total pressure recovery coefficient, the flow resistance in the tube and the power-to-weight ratio. Secondly, analyze by the DOE method to obtain the order of the factor influence weights. Select the design parameters with large influence weights to obtain the optimal value range of the design parameters. Then, according to the weight order, select one parameter, fix the remaining parameters, and calculate the optimal solution of the structural parameters corresponding to the optimal design index within the optimal value range. Finally, by collecting the influence of the total pressure recovery coefficient, the flow resistance in the tube and the power-to-weight ratio corresponding to the optimal solutions of all parameters obtained twice in a row, it is judged whether the structural design parameters are consistent. If they are consistent, the optimized structure of the heat exchanger is obtained, otherwise the cycle continues.

[0070] The method for optimizing the parameters of the spiral tubes of the annular precooling heat exchanger provided in this embodiment, on the basis of meeting the heat transfer requirements of the spiral tubes of the annular precooling heat exchanger, optimizes the structural parameters of the heat exchanger to obtain the optimal values ​​of the total pressure recovery coefficient, the flow resistance in the tube and the power-to-weight ratio as much as possible.

[0071] The method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger provided in this embodiment can obtain the influence of five factors on the total pressure recovery coefficient, the flow resistance in the tube and the power-to-weight ratio by analyzing the semi-ecological diagram and the Pareto diagram.

[0072] In the semi-ecological map, the points distributed on the right side of the straight line have a greater impact the farther away they are.

[0073] A Pareto chart is a bar chart where the length of the bars represents importance, with the longest bars on the left and the shortest bars on the right.

[0074] In this embodiment, the Pareto chart can intuitively depict which situations are more important.

[0075] like Figure 1-2 As shown, in the parameter optimization method of the annular precooling heat exchanger spiral tube provided in this embodiment, the influence of each factor on the total pressure recovery coefficient is axial spacing > axial length of heat exchanger > spiral tube diameter > coupling effect of spiral tube diameter and axial spacing.

[0076] The total pressure recovery coefficient decreases as the diameter of the spiral tube increases. Increasing the diameter of the spiral tube results in fewer spiral tubes, reducing the air flow area. When the air flow rate remains constant, the increase in air velocity increases the flow resistance, thus decreasing the total pressure recovery coefficient.

[0077] In this embodiment, the total pressure recovery coefficient increases with increasing axial spacing. Increasing axial spacing increases the total area for air circulation. When the air flow rate remains constant, the air velocity decreases, reducing flow resistance and thus increasing the total pressure recovery coefficient.

[0078] The total pressure recovery coefficient increases with the increase of the axial length of the heat exchanger. Increasing the axial length of the heat exchanger increases the number of spiral tubes and the air flow area. When the air flow rate is constant, the air flow rate decreases, which reduces the flow resistance and thus increases the total pressure recovery coefficient.

[0079] The total pressure recovery coefficient is also affected by the coupling of the spiral tube diameter and axial spacing.

[0080] like Figure 3-4 As shown, in the parameter optimization method of the annular precooling heat exchanger spiral tube provided by this embodiment, the influence of each factor on the flow resistance in the tube is spiral tube diameter > axial spacing > coupled effect of spiral tube diameter and axial spacing > spiral tube length.

[0081] The flow resistance inside the tube decreases as the diameter of the spiral tube increases. Increasing the diameter of the spiral tube increases the cross-sectional area inside the tube. When the flow rate is constant, the flow velocity decreases, so the flow resistance inside the tube decreases.

[0082] The flow resistance inside the tube increases with the increase of axial spacing. As the axial spacing increases, the number of spiral tubes decreases, the working medium flow rate in the unit channel increases, and therefore the flow resistance inside the tube increases.

[0083] The flow resistance inside the tube increases with the length of the spiral tube.

[0084] The flow resistance inside the tube increases with the increase of axial spacing. As the axial spacing increases, the number of spiral tubes decreases, the working medium flow rate in the unit channel increases, and therefore the flow resistance inside the tube increases.

[0085] The flow resistance inside the tube is also affected by the coupling of the spiral tube diameter and axial spacing.

[0086] like Figure 5-6 As shown, in the parameter optimization method of the annular precooling heat exchanger spiral tube provided in this embodiment, the influence of each factor on the power-to-weight ratio is axial spacing > axial length of heat exchanger > spiral tube diameter > spiral tube length.

[0087] The power-to-weight ratio decreases as the diameter of the spiral tube increases. As the diameter of the spiral tube increases, the total weight of the spiral tube increases, which reduces the power-to-weight ratio.

[0088] The power-to-weight ratio decreases as the length of the spiral tube increases. As the length of the spiral tube increases, the total weight of the spiral tube increases, which reduces the power-to-weight ratio.

[0089] The power-to-weight ratio increases with the increase of axial spacing. As the axial spacing increases, the total weight of the spiral tube decreases, which increases the power-to-weight ratio.

[0090] The power-to-weight ratio decreases as the axial length of the heat exchanger increases. As the axial length of the heat exchanger increases, the total weight of the spiral tube increases, which reduces the power-to-weight ratio.

[0091] Parameter optimization method of the spiral tube of the annular precooling heat exchanger. In order to verify the correctness of the test results, the performance parameters of the spiral tube of the precooling heat exchanger after DOE analysis optimization are compared with the performance parameters before modification, and the appropriate parameters are selected according to the required conditions.

[0092] The parameter optimization method of the heat exchanger spiral tube described in this embodiment can be applied to parameter optimization in various application scenarios and has a very wide range of applications. This embodiment does not make any specific limitations on this.

[0093] Embodiment 10: This embodiment provides a device for optimizing parameters of a spiral tube of an annular precooling heat exchanger, the device comprising:

[0094] Module 1: used to collect preset heat exchanger parameters and the interaction between the parameters and preset heat exchanger indicators;

[0095] Module 2: used to obtain the weight order of the parameters according to the interaction relationship;

[0096] Module three: used to obtain the optimal value of the parameter with the largest weight according to the heat exchanger index;

[0097] Module 4: for selecting one of the parameters as the designated parameter, fixing the other parameters except the parameter with the largest weight and the designated parameter, and changing the designated parameter until a value closest to the heat exchanger index is obtained as the optimal value of the designated parameter;

[0098] Module 5: for selecting, in accordance with the order, the parameters other than the parameter with the largest weight as designated parameters, and looping the function of module 4 until the optimal values ​​of all parameters are obtained.

[0099] Embodiment 11: This embodiment further defines the device for optimizing parameters of the spiral tube of the annular pre-cooling heat exchanger provided in Embodiment 10. The device further includes:

[0100] Module 6: for obtaining a prediction indicator according to the optimal values ​​of all current parameters and the interaction relationship;

[0101] Module 7: used to loop the functions of modules 4 to 6 until the last prediction index is the same as the last prediction index, and the optimal value of all current parameters is taken as the final result.

[0102] Embodiment 12: This embodiment further limits the parameter optimization device for the spiral tube of the annular pre-cooling heat exchanger provided in embodiment 10, and the module 2 is implemented according to the DOE method.

[0103] Embodiment 13: This embodiment provides a computer storage medium for storing a computer program, wherein the computer program is read by a computer so as to execute the method for optimizing the parameters of the spiral tube of the annular pre-cooling heat exchanger described in embodiment 3 or 4.

[0104] Implementation Method 14: Combination Figure 8 To describe this embodiment, this embodiment provides an annular pre-cooling heat exchanger, including a central processing unit, which includes a processor and a storage medium. When the processor reads the computer program stored in the storage medium, the central processing unit executes the annular pre-cooling heat exchanger spiral tube parameter optimization method described in embodiment three or four.

[0105] The above further describes the technical solution provided by the present invention in detail through several specific embodiments in order to highlight the advantages and benefits of the technical solution provided by the present invention. However, the several specific embodiments described above are not intended to limit the present invention. Any reasonable modification and improvement of the present invention, reasonable combination of implementation methods and equivalent replacement based on the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0106] The descriptions in this specification refer only to preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Furthermore, reference to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples" implies that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative descriptions of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, those skilled in the art may combine and integrate the different embodiments or examples described in this specification, as well as features from different embodiments or examples, unless otherwise specified. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed to indicate or imply relative importance or to implicitly specify the number of technical features indicated. Therefore, features designated "first" or "second" may explicitly or implicitly include at least one of these features. In the description of the present invention, "N" means at least two, for example, two, three, etc., unless otherwise specifically specified. Any process or method description in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code comprising one or more executable instructions for implementing a custom logic function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be performed in a different order than shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which the embodiments of the present invention pertain. The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing a logic function, can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or in conjunction with such instruction execution systems, apparatuses, or devices. For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by an instruction execution system, apparatus, or device, or in conjunction with such instruction execution systems, apparatuses, or devices. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection having one or N wirings (electronic devices), a portable computer disk cartridge (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM).In addition, the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, then editing, interpreting, or processing in other suitable ways as necessary, and then storing it in a computer memory. It should be understood that the various parts of the present invention can be implemented with hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented with software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented with hardware, as in another embodiment, any one of the following technologies known in the art or their combination can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0107] Those skilled in the art will appreciate that all or part of the steps carried out in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment. In addition, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

Claims

1. Parameter optimization method of spiral tube of annular precooling heat exchanger, characterized in that: The method comprises: Step 1: Collecting preset heat exchanger parameters and the interaction between the parameters and preset heat exchanger indicators; Step 2: According to the interaction relationship, the weight order of the parameters is obtained; Step 3: Obtaining the optimal value of the parameter with the largest weight according to the heat exchanger index; Step 4: Select one of the parameters as the designated parameter, fix the other parameters except the parameter with the largest weight and the designated parameter, and change the designated parameter until a value closest to the heat exchanger index is obtained as the optimal value of the designated parameter; Step 5: According to the order, select the other parameters except the parameter with the largest weight as the designated parameters, and repeat the step 4 until the optimal values ​​of all parameters are obtained.

2. The method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger according to claim 1, characterized in that: The method further comprises: Step 6: Based on the optimal values ​​of all current parameters, a prediction indicator is obtained according to the interaction relationship; Step 7: looping through steps 4 to 6 until the last prediction index is the same as the last prediction index, and taking the optimal value of all current parameters as the final result.

3. The method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger according to claim 1, characterized in that: In the step 4, during the change of the specified parameter, the change range is obtained based on the interactive relationship.

4. The method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger according to claim 1, characterized in that: The preset heat exchanger parameters include the spiral tube diameter, tube length, axial tube spacing, heat exchanger outer diameter and heat exchanger axial length.

5. The method for optimizing the parameters of the spiral tube of the annular precooling heat exchanger according to claim 1, characterized in that: The preset heat exchanger index is determined according to the specifications of the heat exchanger.

6. The method for optimizing parameters of the spiral tube of an annular precooling heat exchanger according to claim 1, characterized in that: The preset heat exchanger indicators include total pressure recovery coefficient, internal tube flow resistance and power-to-weight ratio.

7. The method for optimizing parameters of the spiral tube of an annular precooling heat exchanger according to claim 1, characterized in that: The step 2 is implemented according to the DOE method.

8. Parameter optimization device for spiral tube of annular precooling heat exchanger, characterized in that: The device comprises: Module 1: used to collect preset heat exchanger parameters and the interaction between the parameters and preset heat exchanger indicators; Module 2: used to obtain the weight order of the parameters according to the interaction relationship; Module three: used to obtain the optimal value of the parameter with the largest weight according to the heat exchanger index; Module 4: for selecting one of the parameters as the designated parameter, fixing the other parameters except the parameter with the largest weight and the designated parameter, and changing the designated parameter until a value closest to the heat exchanger index is obtained as the optimal value of the designated parameter; Module 5: for selecting, in accordance with the order, the parameters other than the parameter with the largest weight as designated parameters, and looping the function of module 4 until the optimal values ​​of all parameters are obtained.

9. The device for optimizing parameters of the spiral tube of an annular precooling heat exchanger according to claim 8, characterized in that: The device further comprises: Module 6: for obtaining a prediction indicator according to the optimal values ​​of all current parameters and the interaction relationship; Module 7: used to loop the functions of modules 4 to 6 until the last prediction index is the same as the last prediction index, and the optimal value of all current parameters is taken as the final result.

10. The device for optimizing parameters of spiral tubes of an annular pre-cooling heat exchanger according to claim 8, characterized in that: The module 2 is implemented according to the DOE method.

11. A computer storage medium for storing a computer program, characterized in that The computer program is used to be read by a computer so that the computer executes the method for optimizing the parameters of the spiral tube of the annular pre-cooling heat exchanger according to claim 1 or 2.

12. An annular precooling heat exchanger, comprising a central processing unit, wherein the central processing unit comprises a processor and a storage medium, characterized in that: When the processor reads the computer program stored in the storage medium, the central processing unit executes the method for optimizing the parameters of the spiral tube of the annular pre-cooling heat exchanger according to claim 1 or 2.

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