Circulating thermal management method and system for fluid flow conduction

Abstract

The invention provides a circulating heat management method and system for liquid flow conduction, and relates to the technical field of heat exchange. According to the specific implementation scheme, a plurality of candidate geometric structures of the U-shaped heat exchange elbow pipes are designed, flow field simulation is carried out, the flow field distribution conditions of all the candidate U-shaped heat exchange elbow pipes are obtained, and therefore the flow field distribution conditions of all the candidate U-shaped heat exchange elbow pipes are calculated based on the flow field distribution conditions of all the candidate U-shaped heat exchange elbow pipes. According to the embodiment of the invention, the correlation equation between the heat exchange elbow structure and the local turbulence intensity can be determined, then the candidate geometric structures are optimized based on the correlation equation and the actual turbulence intensity distribution of the U-shaped heat exchange elbow, and the target geometric structure capable of optimizing the actual turbulence intensity distribution of the U-shaped heat exchange elbow and achieving the optimization target is obtained. And on the basis of the target U-shaped heat exchange bent pipe corresponding to the target geometric structure, the U-shaped heat exchange bent pipe in the liquid flow conduction system is replaced. According to the invention, the heat transfer efficiency of the liquid flow conduction system can be improved.

Description

Technical Field

[0001] The present invention relates to the field of heat exchange technology, and in particular to a liquid flow conduction cyclic heat management method and system. Background Art

[0002] In the study of liquid flow conduction circulating thermal management, there are some technical contradictions and problems in the regulation mechanism of local turbulence intensity by the regular corrugated structure etched on the inner wall of the U-shaped bend.

[0003] First, too high a corrugation will significantly increase fluid resistance, while too low a corrugation will make it difficult to effectively stimulate turbulence. Therefore, how to find the best balance point in practical applications is a technical problem that needs to be solved urgently. Secondly, a fillet radius that is too small can easily cause premature separation of the fluid at the crest, while a fillet radius that is too large can weaken the effect of the corrugation on turbulence. It is particularly important to balance various technical conflicts and find a suitable crest fillet radius. Furthermore, the length of the trough transition zone is also a key parameter. A transition zone that is too short may cause sudden disturbances in the fluid, while a transition zone that is too long will reduce the overall efficiency of the corrugated structure. This technical contradiction in the existing technology increases the difficulty of cyclic thermal management. Finally, in actual thermal management applications, changes in the radius of curvature will also change the distribution characteristics of the corrugations on the pipe wall, thereby affecting the distribution of local turbulence intensity, which puts higher requirements on the realization of refined thermal management control. Summary of the invention

[0004] The present invention provides a liquid flow-conducting circulating heat management method, device, system and storage medium, which can solve at least one of the above technical problems.

[0005] According to one aspect of the present invention, a cyclic heat management method using liquid flow conduction is provided, comprising: For a first U-shaped heat exchange elbow in a fluid conduction system, multiple candidate geometric structures of the U-shaped heat exchange elbow are designed from the perspectives of the U-shaped curvature radius and the inner wall corrugation structure, wherein the inner wall corrugation structure includes corrugation height, crest fillet radius and trough transition zone length; Based on each of the candidate geometric structures, flow field simulation is performed respectively to obtain the flow field distribution of the candidate U-shaped heat exchange elbow corresponding to each of the candidate geometric structures, wherein the flow field distribution includes velocity field distribution, pressure field distribution and turbulence intensity distribution; Determining a correlation equation between the heat exchange elbow structure and the local turbulence intensity based on the flow field distribution of each candidate U-shaped heat exchange elbow; Based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow, each of the candidate geometric structures is optimized and selected to obtain a target geometric structure; The first U-shaped heat exchange elbow in the fluid conduction system is replaced based on a target U-shaped heat exchange elbow corresponding to the target geometry.

[0006] According to another aspect of the present invention, there is provided a liquid flow conduction circulating heat management device, comprising: A candidate structure determination module is used to design multiple candidate geometric structures of a first U-shaped heat exchange elbow in a liquid flow conduction system from the perspective of a U-shaped curvature radius and an inner wall corrugation structure, wherein the inner wall corrugation structure includes a corrugation height, a crest fillet radius, and a trough transition zone length; A flow field simulation module, for performing flow field simulations based on each of the candidate geometric structures, to obtain flow field distributions of the candidate U-shaped heat exchange elbows corresponding to each of the candidate geometric structures, wherein the flow field distributions include velocity field distribution, pressure field distribution, and turbulence intensity distribution; A correlation equation determination module, used to determine the correlation equation between the heat exchange elbow structure and the local turbulence intensity based on the flow field distribution of each candidate U-shaped heat exchange elbow; A target structure determination module, configured to optimize and select each of the candidate geometric structures based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow to obtain a target geometric structure; The elbow replacement module is used to replace the first U-shaped heat exchange elbow in the liquid flow conduction system based on the target U-shaped heat exchange elbow corresponding to the target geometric structure.

[0007] According to another aspect of the present invention, there is provided an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any liquid flow-conducting cyclic thermal management method in the embodiments of the present invention.

[0008] According to another aspect of the present invention, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute any fluid-conducting cyclic thermal management method according to the embodiments of the present invention.

[0009] By adopting the technical solution of the present invention, a plurality of candidate geometric structures of the U-shaped heat exchange bend are designed for the first U-shaped heat exchange bend in the liquid flow conduction system, and flow field simulation is performed respectively to obtain the flow field distribution of the candidate U-shaped heat exchange bend corresponding to each candidate geometric structure, so that based on the flow field distribution of each candidate U-shaped heat exchange bend, the correlation equation between the heat exchange bend structure and the local turbulence intensity can be determined, and then, based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange bend, each candidate geometric structure is optimized and selected to obtain a target geometric structure that can optimize the actual turbulence intensity distribution of the first U-shaped heat exchange bend and achieve the optimization target, so that based on the target U-shaped heat exchange bend corresponding to the target geometric structure, the first U-shaped heat exchange bend in the liquid flow conduction system is replaced, which can reduce the turbulence intensity of the liquid flow conduction system and improve the heat transfer efficiency of the liquid flow conduction system.

[0010] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings are used to better understand the present invention and do not constitute a limitation of the present invention. Figure 1 is a flow chart of a cyclic heat management method of liquid flow conduction according to an embodiment of the present invention; Figure 2 It is a structural block diagram of a circulating heat management device of liquid flow conduction according to an embodiment of the present invention; Figure 3 The block diagram is a block diagram of an electronic device for implementing the method according to the embodiment of the present invention. DETAILED DESCRIPTION

[0012] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be appreciated by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope of the present invention. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0013] Figure 1 The figure is a flow chart of a cyclic heat management method using liquid flow conduction according to an embodiment of the present invention.

[0014] like Figure 1 As shown, the liquid flow conduction cyclic heat management method may include: S110, for a first U-shaped heat exchange elbow in the fluid conduction system, design multiple candidate geometric structures of the U-shaped heat exchange elbow from the perspective of the U-shaped curvature radius and the inner wall corrugation structure, wherein the inner wall corrugation structure includes a corrugation height, a crest fillet radius, and a trough transition zone length; S120, based on each candidate geometric structure, respectively perform flow field simulation to obtain the flow field distribution of the candidate U-shaped heat exchange elbow corresponding to each candidate geometric structure, wherein the flow field distribution includes velocity field distribution, pressure field distribution and turbulence intensity distribution; S130, determining a correlation equation between the heat exchange elbow structure and the local turbulence intensity based on the flow field distribution of each candidate U-shaped heat exchange elbow; S140, optimizing and selecting each candidate geometric structure based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow to obtain a target geometric structure; S150, replacing a first U-shaped heat exchange elbow in the fluid conduction system based on a target U-shaped heat exchange elbow corresponding to the target geometric structure.

[0015] It is understandable that the fluid conduction system may include one or more U-shaped heat exchange elbows to perform heat exchange, for example, to heat or cool a certain space or equipment.

[0016] It can be understood that the first U-shaped heat exchange elbow is any U-shaped heat exchange elbow in the liquid flow conducting system.

[0017] It is understandable that for different candidate geometric structures, the U-shaped curvature radius and / or the inner wall corrugation structure are different. For different inner wall corrugation structures, at least one of the corrugation height, the crest fillet radius and the trough transition zone length may be different.

[0018] Exemplarily, for the candidate geometric structure, the corrugation height, the crest fillet radius, the trough transition zone length and the U-shaped curvature radius whose values ​​are within the corresponding deviation range can be selected for the actual structure of the first U-shaped heat exchange elbow to obtain the candidate geometric structure.

[0019] Exemplarily, flow field simulation software may be used to execute step S110 to obtain the flow field distribution of each candidate U-shaped heat exchange elbow.

[0020] Exemplarily, a genetic algorithm or a particle swarm optimization algorithm may be used to optimize and select each candidate geometric structure based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow to obtain a target geometric structure.

[0021] Exemplarily, the mechanical device may be controlled to replace the first U-shaped heat exchange elbow with the target U-shaped heat exchange elbow in the fluid conduction system, thereby achieving cyclic thermal management.

[0022] According to the above-mentioned implementation mode, for the first U-shaped heat exchange bend in the liquid flow conduction system, multiple candidate geometric structures of the U-shaped heat exchange bend are designed, and flow field simulation is performed respectively to obtain the flow field distribution of the candidate U-shaped heat exchange bend corresponding to each candidate geometric structure, so that based on the flow field distribution of each candidate U-shaped heat exchange bend, the correlation equation between the heat exchange bend structure and the local turbulence intensity can be determined, and then, based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange bend, each candidate geometric structure is optimized and selected to obtain a target geometric structure that can optimize the actual turbulence intensity distribution of the first U-shaped heat exchange bend and achieve the optimization target. In this way, based on the target U-shaped heat exchange bend corresponding to the target geometric structure, replacing the first U-shaped heat exchange bend in the liquid flow conduction system can reduce the turbulence intensity of the liquid flow conduction system and improve the heat transfer efficiency of the liquid flow conduction system.

[0023] In one embodiment, flow field simulation is performed based on each candidate geometric structure to obtain the flow field distribution of the U-shaped heat exchange bend corresponding to each candidate geometric structure, including: constructing a corresponding U-shaped bend model based on the candidate geometric structure; simulating and calculating the U-shaped bend model based on the preset calculation domain boundary conditions and the standard k-epsilon turbulence closed control equation group to obtain the velocity field distribution and pressure field distribution of the candidate U-shaped heat exchange bend corresponding to the candidate geometric structure; determining the velocity gradient tensor based on the velocity field distribution; calculating the velocity gradient tensor based on the turbulent kinetic energy transport equation to obtain the turbulence intensity distribution of the candidate U-shaped heat exchange bend; determining the flow field distribution of the candidate U-shaped heat exchange bend based on the velocity field distribution, the pressure field distribution and the turbulence intensity distribution.

[0024] It can be understood that the velocity field distribution is the liquid flow velocity at each position in the U-shaped heat exchange elbow. The pressure field distribution is the pressure of the liquid flow on the elbow wall at each position in the U-shaped heat exchange elbow, and the turbulence intensity distribution is the turbulence intensity at each position in the U-shaped heat exchange elbow.

[0025] Exemplarily, a candidate geometry is imported into the simulation software, so that a U-bend pipe model can be constructed.

[0026] For example, the inner cavity area of ​​the U-bend pipe model is networked. For example, the mesh size increases layer by layer from 0.1 mm on the corrugated surface to 0.5 mm in the central area, the mesh quality factor is controlled to be greater than 0.85, and 12 layers of structured mesh are generated from the corrugated structure surface to the central area of ​​the bend pipe.

[0027] Exemplarily, the preset computational domain boundary conditions are input into the gridded U-shaped bend pipe model, and then the standard k-epsilon turbulence closed control equation group is selected in the simulation software, and the U-shaped bend pipe model is simulated to obtain the simulation results of velocity field distribution and pressure field distribution.

[0028] For example, the computational domain boundary conditions may include the inlet flow rate, outlet pressure, and friction factor of the corrugated wall of the elbow model. For example, the inlet flow rate is 5 to 20 liters per minute, the outlet pressure is 101 kPa, and the friction factor of the corrugated wall is 0.02.

[0029] Exemplarily, after the velocity field distribution is obtained, a gradient calculation is performed on the velocity field distribution to obtain a velocity gradient tensor.

[0030] For example, in the simulation software, the turbulent kinetic energy transport equation is selected to calculate the velocity gradient tensor and solve the Reynolds stress tensor to obtain the turbulence intensity distribution of the candidate U-shaped heat exchange elbow.

[0031] Exemplarily, the flow field distribution of the candidate U-shaped heat exchange elbow includes velocity field distribution, pressure field distribution and turbulence intensity distribution.

[0032] According to the above implementation, the flow field distribution of each candidate U-shaped heat exchange elbow can be accurately simulated in the simulation software.

[0033] In one embodiment, based on the flow field distribution of each candidate U-shaped heat exchange bend, a correlation equation between the heat exchange bend structure and the local turbulence intensity is determined, including: for each candidate U-shaped heat exchange bend, the following operations are performed respectively: the turbulence intensity distribution of the candidate U-shaped heat exchange bend is extracted from the flow field distribution of the candidate U-shaped heat exchange bend; a polynomial kernel function is used to map the candidate geometric structure of the candidate U-shaped heat exchange bend and the turbulence intensity distribution of the candidate U-shaped heat exchange bend to obtain a mapping relationship between each candidate U-shaped heat exchange bend and its turbulence intensity distribution; and a least squares method is used to fit the mapping relationship between each candidate U-shaped heat exchange bend and its turbulence intensity distribution to obtain a correlation equation between the heat exchange bend structure and the local turbulence intensity.

[0034] Exemplarily, the polynomial kernel function may adopt a corresponding kernel function order and penalty factor, and then perform the above fitting. For example, the kernel function order may be 4 or 5, and the penalty factor may be 0.001 or 0.004.

[0035] According to the above implementation, a polynomial kernel function can be used to fit the mapping relationship between each candidate U-shaped heat exchange elbow and its turbulence intensity distribution, and then the least squares method can be used to fit the mapping relationship between each candidate U-shaped heat exchange elbow and its turbulence intensity distribution to obtain the correlation equation between the heat exchange elbow structure and the local turbulence intensity. In this way, the correlation equation between the heat exchange elbow structure and the local turbulence intensity can be accurately fitted.

[0036] In one embodiment, based on the association equation and the actual turbulence intensity distribution of the first U-shaped heat exchange bend, each candidate geometric structure is optimized and selected to obtain a target geometric structure, including: based on each candidate geometric structure, an initial population is determined, wherein the initial population includes multiple individuals, and each individual corresponds to a candidate U-shaped heat exchange bend corresponding to a candidate geometric structure; the following population iteration operations are performed starting from the initial population: based on the association equation, the candidate geometric structure corresponding to each individual in this iteration population is calculated to obtain the predicted turbulence intensity distribution corresponding to each individual; based on the predicted turbulence intensity distribution corresponding to each individual and the actual turbulence intensity distribution of the first U-shaped heat exchange bend, the optimization degree of the candidate U-shaped heat exchange bend corresponding to each individual relative to the first U-shaped heat exchange bend is determined; when the optimization degree corresponding to each individual meets the preset conditions, based on the optimization degree corresponding to each individual, the target geometric structure is determined among the candidate geometric structures corresponding to each individual in this iteration population.

[0037] In one embodiment, the above population iteration operation further includes: when the optimization degree corresponding to each individual does not meet the preset conditions, crossover mutation is performed on the candidate geometric structures corresponding to each individual in the current iteration population to obtain the next iteration population.

[0038] Exemplarily, the candidate geometric structures corresponding to each individual in the sub-iteration population are respectively input into the association equation, and the predicted turbulence intensity distribution corresponding to each individual can be calculated.

[0039] Exemplarily, for each individual, the correspondence between each first position in the predicted turbulence intensity distribution corresponding to the individual and each second position in the actual turbulence intensity distribution of the first U-shaped heat exchange elbow is determined. For example, the distance between each first position and each second position is calculated to determine the correspondence between the first position and the second position with the closest distance. Then, for the individual, the degree of reduction of the predicted turbulence intensity of each first position relative to the actual predicted turbulence intensity of the corresponding second position is calculated; the calculated reduction degrees are averaged to obtain the degree of optimization of the candidate U-shaped heat exchange elbow of the individual relative to the first U-shaped heat exchange elbow.

[0040] For example, if the optimization degree of each individual meets the preset optimization degree requirement, it is determined that the optimization degree corresponding to each individual meets the preset condition. Alternatively, if the minimum optimization degree among the optimization degrees of each individual is greater than the preset optimization degree threshold, it is determined that the optimization degree corresponding to each individual meets the preset condition.

[0041] Exemplarily, when the optimization degree corresponding to each individual meets the preset conditions, the candidate geometric structure corresponding to the individual with the maximum optimization degree in this iteration population is determined, and the candidate geometric structure is used as the target geometric structure.

[0042] Exemplarily, each structural parameter in the candidate geometric structure corresponding to each individual after crossover mutation needs to be within a preset range.

[0043] According to the above implementation, the candidate geometric structure may be optimized through multiple iterations to obtain a target geometric result.

[0044] In one embodiment, the method further includes: monitoring the turbulence intensity of a liquid flow conduction system in which the first U-shaped heat exchange bend has been replaced with a target U-shaped heat exchange bend to obtain an actual turbulence intensity distribution of the target U-shaped heat exchange bend; when the actual turbulence intensity distribution of the target U-shaped heat exchange bend does not meet a preset condition, returning to continue to execute the above steps S140 and S150 to achieve cyclic thermal management.

[0045] According to the above implementation, the turbulence intensity of the liquid flow conduction system can be monitored. When the actual turbulence intensity distribution of the target U-shaped heat exchange elbow does not meet the preset conditions, the U-shaped heat exchange elbow can be optimized to achieve cyclic thermal management and ensure the heat transfer efficiency of the liquid flow conduction system.

[0046] Figure 2 It is a structural block diagram of a circulating thermal management device according to an embodiment of the present invention.

[0047] like Figure 2 As shown, the circulating thermal management device comprises: A candidate structure determination module 210 is used to design multiple candidate geometric structures of a first U-shaped heat exchange elbow in a fluid conduction system from the perspective of a U-shaped curvature radius and an inner wall corrugation structure, wherein the inner wall corrugation structure includes a corrugation height, a crest fillet radius, and a trough transition zone length; A flow field simulation module 220 is used to perform flow field simulation based on each of the candidate geometric structures to obtain the flow field distribution of the candidate U-shaped heat exchange elbow corresponding to each of the candidate geometric structures, wherein the flow field distribution includes velocity field distribution, pressure field distribution and turbulence intensity distribution; A correlation equation determination module 230, for determining a correlation equation between the heat exchange elbow structure and the local turbulence intensity based on the flow field distribution of each candidate U-shaped heat exchange elbow; A target structure determination module 240 is used to optimize and select each of the candidate geometric structures based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow to obtain a target geometric structure; The elbow replacement module 250 is used to replace the first U-shaped heat exchange elbow in the fluid conduction system based on the target U-shaped heat exchange elbow corresponding to the target geometric structure.

[0048] In one embodiment, the flow field simulation module 220 includes: A model building unit, used for building a corresponding U-bend pipe model based on the candidate geometric structure; A first distribution determination unit is used to perform simulation calculation on the U-shaped elbow model based on preset computational domain boundary conditions and a standard k-epsilon turbulence closed control equation group to obtain a velocity field distribution and a pressure field distribution of a candidate U-shaped heat exchange elbow corresponding to the candidate geometric structure; A gradient tensor determination unit, configured to determine a velocity gradient tensor based on the velocity field distribution; A second distribution determination unit is used to calculate the velocity gradient tensor based on the turbulent kinetic energy transport equation to obtain the turbulence intensity distribution of the candidate U-shaped heat exchange elbow; The third distribution determination unit is used to determine the flow field distribution of the candidate U-shaped heat exchange elbow based on the velocity field distribution, the pressure field distribution and the turbulence intensity distribution.

[0049] In one implementation, the correlation equation determination module 230 includes: A mapping processing unit is used to perform the following operations for each candidate U-shaped heat exchange elbow: extracting the turbulence intensity distribution of the candidate U-shaped heat exchange elbow from the flow field distribution of the candidate U-shaped heat exchange elbow; using a polynomial kernel function to map the candidate geometric structure of the candidate U-shaped heat exchange elbow and the turbulence intensity distribution of the candidate U-shaped heat exchange elbow to obtain a mapping relationship between each candidate U-shaped heat exchange elbow and its turbulence intensity distribution; The fitting unit is used to fit the mapping relationship between each candidate U-shaped heat exchange elbow and its turbulence intensity distribution by using the least square method to obtain the correlation equation between the heat exchange elbow structure and the local turbulence intensity.

[0050] In one embodiment, the target structure determination module 240 includes: An initial population determination unit, configured to determine an initial population based on each of the candidate geometric structures, wherein the initial population includes a plurality of individuals, each of which corresponds to a candidate U-shaped heat exchange elbow corresponding to the candidate geometric structure; The population iteration operation unit performs the following population iteration operations starting from the initial population: Based on the correlation equation, the candidate geometric structures corresponding to each individual in the iterative population are calculated to obtain the predicted turbulence intensity distribution corresponding to each individual; Determine the degree of optimization of the candidate U-shaped heat exchange elbow corresponding to each of the individuals relative to the first U-shaped heat exchange elbow based on the predicted turbulence intensity distribution corresponding to each of the individuals and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow; When the optimization degree corresponding to each of the individuals meets the preset conditions, the target geometric structure is determined in the candidate U-shaped heat exchange elbows corresponding to each of the individuals in this iteration population based on the optimization degree corresponding to each of the individuals.

[0051] In one embodiment, the population iteration operation further includes: When the optimization degree corresponding to each of the individuals does not meet the preset conditions, crossover mutation is performed on the candidate geometric structures corresponding to each individual in the current iterative population to obtain the next iterative population.

[0052] In one embodiment, the above device further comprises: a turbulence monitoring module, configured to monitor the turbulence intensity of the liquid flow conducting system in which the first U-shaped heat exchange elbow has been replaced with the target U-shaped heat exchange elbow, and obtain an actual turbulence intensity distribution of the target U-shaped heat exchange elbow; The cyclic processing module is used to return to continue to perform the following steps when the actual turbulence intensity distribution of the target U-shaped heat exchange elbow does not meet the preset conditions, so as to achieve cyclic thermal management: Based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow, each of the candidate geometric structures is optimized and selected to obtain a target geometric structure; and The target U-shaped heat exchange elbow corresponding to the target geometric structure is used to replace the first U-shaped heat exchange elbow in the liquid flow conduction system.

[0053] For the description of specific functions and examples of each module and submodule of the device in the embodiment of the present invention, reference can be made to the relevant description of the corresponding steps in the above method embodiment, which will not be repeated here.

[0054] In the technical solution of the present invention, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0055] According to an embodiment of the present invention, the present invention also provides a system and a readable storage medium.

[0056] Figure 3 A schematic block diagram of an example electronic device 800 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0057] like Figure 3 As shown, the device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 to a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0058] A number of components in the device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0059] The computing unit 801 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 801 performs the various methods and processes described above, such as the cyclic thermal management method for liquid flow conduction. For example, in some embodiments, the cyclic thermal management method for liquid flow conduction may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the cyclic thermal management method for liquid flow conduction described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to execute the fluid-conducting cyclic thermal management method in any other appropriate manner (eg, by means of firmware).

[0060] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0061] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0062] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0063] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0064] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0065] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0066] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present invention can be achieved, and this document does not limit this.

[0067] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A circulating heat management method using liquid flow conduction, characterized in that: include: For a first U-shaped heat exchange elbow in a fluid conduction system, multiple candidate geometric structures of the U-shaped heat exchange elbow are designed from the perspectives of the U-shaped curvature radius and the inner wall corrugation structure, wherein the inner wall corrugation structure includes corrugation height, crest fillet radius and trough transition zone length; Based on each of the candidate geometric structures, flow field simulation is performed respectively to obtain the flow field distribution of the candidate U-shaped heat exchange elbow corresponding to each of the candidate geometric structures, wherein the flow field distribution includes velocity field distribution, pressure field distribution and turbulence intensity distribution; Determining a correlation equation between the heat exchange elbow structure and the local turbulence intensity based on the flow field distribution of each candidate U-shaped heat exchange elbow; Based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow, each of the candidate geometric structures is optimized and selected to obtain a target geometric structure; The first U-shaped heat exchange elbow in the fluid conduction system is replaced based on a target U-shaped heat exchange elbow corresponding to the target geometry.

2. The method according to claim 1, characterized in that Based on each of the candidate geometric structures, flow field simulation is performed respectively to obtain the flow field distribution of the U-shaped heat exchange elbow corresponding to each of the candidate geometric structures, including: Based on the candidate geometric structure, construct a corresponding U-bend pipe model; Based on the preset computational domain boundary conditions and the standard k-epsilon turbulence closed control equations, the U-shaped elbow model is simulated and calculated to obtain the velocity field distribution and pressure field distribution of the candidate U-shaped heat exchange elbow corresponding to the candidate geometric structure; Based on the velocity field distribution, determining a velocity gradient tensor; Based on the turbulent kinetic energy transport equation, the velocity gradient tensor is calculated to obtain the turbulence intensity distribution of the candidate U-shaped heat exchange elbow; Based on the velocity field distribution, the pressure field distribution and the turbulence intensity distribution, the flow field distribution of the candidate U-shaped heat exchange elbow is determined.

3. The method according to claim 1, characterized in that The method of determining the correlation equation between the heat exchange elbow structure and the local turbulence intensity based on the flow field distribution of each candidate U-shaped heat exchange elbow comprises: For each candidate U-shaped heat exchange elbow, the following operations are performed respectively: extracting the turbulence intensity distribution of the candidate U-shaped heat exchange elbow from the flow field distribution of the candidate U-shaped heat exchange elbow; using a polynomial kernel function, mapping the candidate geometric structure of the candidate U-shaped heat exchange elbow and the turbulence intensity distribution of the candidate U-shaped heat exchange elbow to obtain a mapping relationship between each candidate U-shaped heat exchange elbow and its turbulence intensity distribution; The least square method is used to fit the mapping relationship between each candidate U-shaped heat exchange elbow and its turbulence intensity distribution, and the correlation equation between the heat exchange elbow structure and the local turbulence intensity is obtained.

4. The method according to claim 1, characterized in that: Based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow, each of the candidate geometric structures is optimized and selected to obtain a target geometric structure, including: Based on each of the candidate geometric structures, an initial population is determined, wherein the initial population includes a plurality of individuals, each of which corresponds to a candidate U-shaped heat exchange elbow corresponding to the candidate geometric structure; The following population iteration operations are performed starting from the initial population: Based on the correlation equation, the candidate geometric structures corresponding to each individual in the iterative population are calculated to obtain the predicted turbulence intensity distribution corresponding to each individual; Determine the degree of optimization of the candidate U-shaped heat exchange elbow corresponding to each of the individuals relative to the first U-shaped heat exchange elbow based on the predicted turbulence intensity distribution corresponding to each of the individuals and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow; When the optimization degree corresponding to each of the individuals meets the preset conditions, the target geometric structure is determined in the candidate U-shaped heat exchange elbows corresponding to each of the individuals in this iteration population based on the optimization degree corresponding to each of the individuals.

5. The method according to claim 4, characterized in that The population iteration operation further includes: When the optimization degree corresponding to each of the individuals does not meet the preset conditions, crossover mutation is performed on the candidate geometric structures corresponding to each individual in the current iterative population to obtain the next iterative population.

6. The method according to any one of claims 1 to 5, characterized in that Also includes: Performing turbulence intensity monitoring on the liquid flow conduction system in which the first U-shaped heat exchange elbow has been replaced with the target U-shaped heat exchange elbow to obtain an actual turbulence intensity distribution of the target U-shaped heat exchange elbow; When the actual turbulence intensity distribution of the target U-shaped heat exchange elbow does not meet the preset conditions, return to continue to perform the following steps to achieve cyclic thermal management: Based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow, each of the candidate geometric structures is optimized and selected to obtain a target geometric structure; and The target U-shaped heat exchange elbow corresponding to the target geometric structure is used to replace the first U-shaped heat exchange elbow in the liquid flow conduction system.

7. A circulating heat management device using liquid flow conduction, characterized in that: include: A candidate structure determination module is used to design multiple candidate geometric structures of a first U-shaped heat exchange elbow in a liquid flow conduction system from the perspective of a U-shaped curvature radius and an inner wall corrugation structure, wherein the inner wall corrugation structure includes a corrugation height, a crest fillet radius, and a trough transition zone length; A flow field simulation module, for performing flow field simulations based on each of the candidate geometric structures, to obtain flow field distributions of the candidate U-shaped heat exchange elbows corresponding to each of the candidate geometric structures, wherein the flow field distributions include velocity field distribution, pressure field distribution, and turbulence intensity distribution; A correlation equation determination module, used to determine the correlation equation between the heat exchange elbow structure and the local turbulence intensity based on the flow field distribution of each candidate U-shaped heat exchange elbow; A target structure determination module, configured to optimize and select each of the candidate geometric structures based on the correlation equation and the actual turbulence intensity distribution of the first U-shaped heat exchange elbow to obtain a target geometric structure; The elbow replacement module is used to replace the first U-shaped heat exchange elbow in the liquid flow conduction system based on the target U-shaped heat exchange elbow corresponding to the target geometric structure.

8. The device according to claim 7, characterized in that The flow field simulation module comprises: A model building unit, used for building a corresponding U-bend pipe model based on the candidate geometric structure; A first distribution determination unit is used to perform simulation calculation on the U-shaped elbow model based on preset computational domain boundary conditions and a standard k-epsilon turbulence closed control equation group to obtain a velocity field distribution and a pressure field distribution of a candidate U-shaped heat exchange elbow corresponding to the candidate geometric structure; A gradient tensor determination unit, configured to determine a velocity gradient tensor based on the velocity field distribution; A second distribution determination unit is used to calculate the velocity gradient tensor based on the turbulent kinetic energy transport equation to obtain the turbulence intensity distribution of the candidate U-shaped heat exchange elbow; The third distribution determination unit is used to determine the flow field distribution of the candidate U-shaped heat exchange elbow based on the velocity field distribution, the pressure field distribution and the turbulence intensity distribution.

9. A liquid flow conduction circulating heat management system, comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

10. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-6.

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