Structure optimization system of fissure piece, fissure piece and heat exchanger

Abstract

The invention relates to the technical field of air conditioners, in particular to a structure optimization system of a fissure piece, the fissure piece and a heat exchanger, the structure optimization system comprises an input module configured to be used for inputting basic parameters of the fissure piece of the heat exchanger, and the basic parameters comprise the fin width PL of the fin and the non-zero length L from the two sides of the fin to a windowing area; the operation module is in communication connection with the input module and is configured to calculate the crack width W and the crack number N through a preset mathematical model according to the fin width PL and the non-zero length L of the fin; and the output module is in communication connection with the operation module and is configured to output an optimization result including the crack width W and the crack number N, and the optimization result enables the crack piece to have the optimal heat exchange performance. The scheme is used for overcoming the defect that in the prior art, it is difficult to ensure that the heat exchanger crack sheet structure under each size is an optimal solution, efficient automatic design of the heat exchanger structure is achieved, and heat exchange performance is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioners, and particularly to a structure optimization system for a louver fin, a louver fin, and a heat exchanger. Background Art

[0002] In the field of modern refrigeration technology, the efficient operation of a refrigeration system not only depends on the performance of core components such as compressors and throttling devices, but is also closely related to the design of the heat exchanger. As a key link in heat energy transfer, the efficiency of the heat exchanger directly affects the energy consumption and refrigeration effect of the entire system. However, traditional heat exchanger designs often involve high consumption of metal materials, which not only increases the manufacturing cost but also poses a challenge to resource sustainability. Therefore, promoting the miniaturization and structural compactness of heat exchangers has become an urgent need in the industry, aiming to improve the heat transfer efficiency per unit volume while reducing material usage.

[0003] Among various types of heat exchangers, the tube-fin heat exchanger stands out due to its high heat transfer performance and relatively compact structure, making it an ideal choice to balance high cooling capacity requirements and volume limitations. It can significantly reduce the equipment volume while ensuring the same cooling capacity, conforming to the development trend of the refrigeration industry towards high efficiency and compactness.

[0004] Although the tube-fin heat exchanger exhibits many advantages, the design of the louver fin inside it remains a key factor in enhancing heat transfer efficiency. The louver structure on the louver fin is complex and variable, directly affecting the heat transfer capacity. A major problem faced by traditional design methods is how to find the optimal louver structure configuration for different size specifications. This process is not only technically difficult but also time-consuming, often requiring a large amount of trial and error and experience accumulation, resulting in high design costs. Summary of the Invention

[0005] The present invention provides a structure optimization system for a louver fin, a louver fin, and a heat exchanger, to solve the defect in the prior art that it is difficult to ensure that the louver fin structure of the heat exchanger is the optimal solution for each size, and to achieve the efficient and automated design of the heat exchanger structure and a significant improvement in heat transfer performance.

[0006] The present invention provides a structural optimization system for a split fin, which is used for the structural design of a heat exchanger split fin. The heat exchanger split fin is provided with a plurality of split structures arranged in parallel. The split structures have the same split width W, and there is the same spacing between any adjacent split structures, and this spacing is equal to the split width W. The structural optimization system includes: an input module configured to input the basic parameters of the heat exchanger split fin, and the basic parameters include the fin width PL and the non-zero length L from both sides of the fin to the windowing area; an operation module communicatively connected to the input module and configured to calculate the split width W and the number of splits N according to the fin width PL and the non-zero length L through a preset mathematical model; an output module communicatively connected to the operation module and configured to output an optimization result including the split width W and the number of splits N, and the optimization result enables the split fin to have the best heat exchange performance.

[0007] According to the structural optimization system for a split fin provided by the present invention, the input module is further configured to input user-defined heat exchange performance target parameters, and the operation module adjusts the combination of the split width W and the number of splits N based on the basic parameters and the heat exchange performance target parameters to meet the requirements of a specific application scenario.

[0008] According to the structural optimization system for a split fin provided by the present invention, the operation module includes a simulation unit; the product of the split width W and the number of splits N is the total split width W*N, and the simulation unit is configured to simulate the trend curve of the heat exchange ratio based on the change of the total split width W*N to generate a first ratio curve; the operation module is configured to determine the optimal value range of the total split width W*N based on the first ratio curve.

[0009] According to the structural optimization system for a split fin provided by the present invention, the ratio of the total split width W*N to the fin width PL is the split ratio Xn, and the split ratio Xn satisfies 0 < Xn ≤ 0.5; within the optimal value range of the total split width W*N, the total split width W*N satisfies X1*PL ≤ W*N ≤ X2*PL; when the split ratio Xn is X1 and X2, the heat exchange ratio reaches the target ratio, and when the split ratio Xn is between X1 and X2, the heat exchange ratio exceeds the target ratio.

[0010] According to the structural optimization system for a split fin provided by the present invention, it further includes an optimization verification module, and the optimization verification module is communicatively connected to the operation module; the optimization verification module is configured to perform a heat exchange efficiency verification test under actual working conditions after determining the split width W and the number of splits N, and feedback the optimization effect and iteratively adjust the split design until the optimal solution is reached by comparing the simulation data with the experimental data.

[0011] A structure optimization system for a slit sheet according to the present invention, wherein the simulation unit is configured to simulate a trend curve of the heat exchange ratio based on the change in the slit width W to generate a second ratio curve; the operation module is configured to determine an optimal value range of the slit width W based on the second ratio curve, and calculate the number of slits N based on the optimal value range of the slit width W and the optimal value range of the total slit width W*N.

[0012] A structure optimization system according to the present invention, wherein the simulation unit is further integrated with a machine learning algorithm component to self-learn and adjust the optimization strategy according to historical optimization cases.

[0013] A structure optimization system for a slit sheet according to the present invention, wherein when calculating the number of slits N, the operation module processes non-integer values using an algorithm that rounds to the nearest integer.

[0014] A structure optimization system for a slit sheet according to the present invention includes a historical record module, which is communicatively connected to the input module and the output module; the historical record module is configured to store the optimization results output by the output module, and directly generate the optimization results when the same basic parameters are input to the input module next time.

[0015] A structure optimization system according to the present invention, wherein the historical record module is configured to perform data analysis on historical optimization results to analyze the trend of optimization results under different basic parameters.

[0016] A structure optimization system for a slit sheet according to the present invention includes a three-dimensional display module communicatively connected to the output module; the three-dimensional display module is configured to generate a three-dimensional model of the heat exchanger slit sheet based on the optimization results.

[0017] The present invention also provides a slit sheet, which includes a slit sheet body in the shape of a rectangular thin sheet; the slit sheet body is provided with assembly holes adapted to the heat exchanger, and a plurality of parallel slit structures; the slit structures have the same slit width W, and the distance between any adjacent slit structures is the same and equal to the slit width W; the ratio of the total slit width W*N of the plurality of slit structures to the fin width PL of the slit sheet body is the slit ratio Xn, and the slit ratio Xn satisfies 0 < Xn ≤ 0.5, and the total slit width W*N satisfies X1*PL ≤ W*N ≤ X2*PL; when the slit ratio Xn is X1 and X2, the heat exchange ratio of the slit sheet reaches the target ratio, and when the slit ratio Xn is between X1 and X2, the heat exchange ratio exceeds the target ratio.

[0018] The present invention also provides a heat exchanger provided with the slit fins as described above.

[0019] The structural optimization system of the slit fins provided by the present invention provides necessary basic parameters through an input module. The operation module uses these input parameters and, based on the specific dimensions of the fins, accurately calculates the slit width (W) and the number of slits (N) required to achieve the best heat exchange effect. The operation results are displayed through an output module, providing a user with a set of optimal slit design parameters. This set of parameters ensures that, for a given fin size, the heat exchanger can achieve the maximum heat exchange capacity with the minimum material consumption, meeting the design objectives of efficient heat exchange and compact structure. Through this solution, the present invention realizes the efficient automation of the structural design of the slit fins of the heat exchanger, ensuring that, regardless of how the fin size changes, the optimal slit structure configuration can be quickly found and applied, significantly improving the overall performance and design efficiency of the heat exchanger. The structural design of the slit fins provided by the present invention meets the optimization results of the structural optimization system, so that the slit fins and the heat exchanger using the slit fins can achieve a relatively ideal heat exchange effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0021] Figure 1 is a schematic structural diagram of the slit fins of the heat exchanger provided by the present invention;

[0022] Figure 2 is a first proportional curve schematic diagram of the structural optimization system of the slit fins provided by the present invention;

[0023] Figure 3 is a second proportional curve schematic diagram of the structural optimization system of the slit fins provided by the present invention;

[0024] Figure 4 is a schematic principle diagram of the structural optimization system of the slit fins provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0026] The following will combine with Figures 1-4 describe the specific implementation manners of the structural optimization system of the slit sheet of the present invention.

[0027] The present invention provides a structural optimization system for a slit sheet, which is used for the structural design of the slit sheet of a heat exchanger. The aim is to overcome the problem that it is difficult to accurately determine the optimal slit structure under each size in the previous designs, so as to achieve the purpose of improving the design efficiency and heat transfer performance. The core of this system lies in ensuring that the design of the slit sheet can reach the best state in heat exchangers of different size specifications through an automated calculation and analysis process, realizing efficient heat transfer. As Figure 1 shown, the slit sheet of the heat exchanger is provided with a plurality of slit structures arranged in parallel. The slit structures have the same slit width W, and there is the same spacing between any adjacent slit structures, and this spacing is equal to the slit width W, which is beneficial to forming a uniform and efficient air flow disturbance and promoting heat exchange.

[0028] As Figure 4 shown, the above-mentioned structural optimization system of the slit sheet includes an input module, an operation module, and an output module. Among them, the input module is configured to input the basic parameters of the slit sheet of the heat exchanger, and the basic parameters include the fin width PL and the non-zero length L from both sides of the fin to the windowing area; the operation module is communicatively connected to the input module and is configured to calculate the slit width W and the number of slits N according to the fin width PL and the non-zero length L through a preset mathematical model; the output module is communicatively connected to the operation module and is configured to output the optimization result including the slit width W and the number of slits N, and the optimization result enables the slit sheet to have the best heat transfer performance. The slit width W refers to the width of each slit. For the heat transfer fin, this is the key dimension for controlling the eddy current effect generated when the air flow passes through the slit. The number of slits N refers to the total number of slits provided on one fin, and it together with the slit width determines the heat transfer area and the air flow disturbance characteristics on the fin surface. The fin width PL is the transverse dimension of the fin, that is, the total width of the fin. The non-zero length L is the length from both sides of the fin to the windowing area. Although this part participates in the calculation of the total width of the fin, it actually does not contain slits, ensuring the structural integrity of the fin edge.

[0029] Specifically, the input module is responsible for receiving the basic parameters provided by the user. These parameters include the fin width PL (which determines the lateral dimension of the fin) and the non-zero length L from both sides of the fin to the windowed area (which affects the structural design of the fin edge), serving as the basis for subsequent calculations. The operation module is connected to the input module and, based on the received basic parameters, uses a pre-set mathematical model to accurately calculate two key design parameters of the slotted fin - the slot width W and the number of slots N. This model comprehensively considers the fin size and structural characteristics to ensure that the calculation results can maximize the heat transfer efficiency to the greatest extent. The output module, based on the calculation results of the operation module, gives the optimal combination of the slot width W and the number of slots N. This set of data is the optimization scheme for the slotted fin structure, ensuring that the heat transfer performance of the fin reaches the best state under specific dimensions.

[0030] In the above solution, the pre-set mathematical model at least includes the mathematical relationship among the fin width PL, the non-zero length L, the slot width W, and the number of slots N: PL = W * (N + (N - 1)) + 2L. This mathematical formula reveals how to adjust the slot width W and the number of slots N to meet the design requirements when the fin width is fixed. The formula shows that the total width of the fin consists of two parts: one part is the space occupied by the slots (W * (N + (N - 1))), and the other part is the total width of the non-slot area 2L. According to this mathematical formula, on the premise of ensuring the heat transfer performance, the appropriate slot width W and the number of slots N can be calculated by reverse deduction based on the total width PL of the fin and the non-zero length L from both sides of the fin to the windowed area, so as to ensure that the designed slotted fin meets the structural strength requirements and can maximize the heat transfer efficiency. By adjusting these parameters, while meeting the specific heat transfer performance goals, the material usage can be optimized, realizing the miniaturization and high efficiency of the heat exchanger.

[0031] According to a slotted fin structure optimization system provided by the present invention, the input module is further configured to input user-defined heat transfer performance target parameters. The operation module, based on the basic parameters and the heat transfer performance target parameters, adjusts the combination of the slot width W and the number of slots N to meet the requirements of specific application scenarios. Specifically, the function expansion of the input module allows the user to set specific heat transfer performance goals according to specific application scenarios (such as different ambient temperatures, refrigeration or heating requirements, space limitations, etc.), such as the desired heat transfer amount, pressure drop limit, or specific working efficiency index. Subsequently, after receiving these customized heat transfer performance goals, the operation module comprehensively considers the basic parameters (fin width PL, non-zero length L) and the target parameters through advanced algorithms, and dynamically adjusts the slot width W and the number of slots N. By combining the heat transfer performance target parameters, each design becomes a customized solution for a specific application scenario, improving the adaptability and working efficiency of the heat exchanger under various working conditions, reducing energy consumption, while accelerating the design iteration speed and reducing the design cost.

[0032] According to a structural optimization system of a slit fin provided by the present invention, the operation module includes a simulation unit; the product of the slit width W and the number of slits N is the total slit width W*N, and the simulation unit is configured to simulate the trend curve of the heat transfer ratio based on the change of the total slit width W*N to generate a first ratio curve; the operation module is configured to determine the optimal value range of the total slit width W*N based on the first ratio curve. By integrating the simulation unit into the operation module, a highly accurate and dynamic adjustment ability for the structural optimization of the slit fin is achieved.

[0033] Specifically, the simulation unit conducts a detailed analysis of the heat transfer performance at different total slit widths W*N through a mathematical model or a physical model. It gradually changes the values of W and N to obtain a series of different total slit widths, and correspondingly simulates the changes in the heat transfer efficiency or the heat transfer ratio. This series of changes is plotted as a first ratio curve, intuitively showing the trend of the heat transfer performance as the total slit width increases or decreases. The operation module uses the information obtained from the first ratio curve to find the region where the heat transfer ratio is optimal or close to optimal through analysis. This region is the optimal value range of the total slit width W*N, which represents the slit structure configuration that can achieve the most efficient heat transfer performance under given conditions and objectives. After determining the optimal value range, the designer can further fine-tune the slit width and the number within this range according to the actual application requirements to achieve an optimized design that not only meets the specific heat transfer performance objectives but also takes into account other practical constraints such as manufacturing cost and material strength.

[0034] According to a structural optimization system of a slit fin provided by the present invention, the ratio of the total slit width W*N to the fin width PL of the fin is the slit ratio Xn, and the slit ratio Xn satisfies 0 < Xn ≤ 0.5; within the optimal value range of the total slit width W*N, the total slit width W*N satisfies X1*PL ≤ W*N ≤ X2*PL; when the slit ratio Xn is X1 and X2, the heat transfer ratio reaches the target ratio, and when the slit ratio Xn is between X1 and X2, the heat transfer ratio exceeds the target ratio. Among them, the value range of the slit ratio Xn is limited to 0 < Xn ≤ 0.5, which can strictly control the proportion of the slit in the overall structure to ensure efficient heat transfer performance.

[0035] Such as Figure 2As shown, it represents the relationship between the total crack width W*N and the heat transfer amount. Under normal circumstances, as the total crack width increases, the heat transfer amount also increases, but the growth rate is not constant. At a certain point on the curve, there may be an inflection point. At this time, increasing the total crack width will not bring a significant increase in the heat transfer amount, but may instead lead to an increase in structural complexity or material waste. Therefore, by analyzing the first proportional curve, a balance point can be found to optimize the ratio of the total crack width to the heat transfer amount, thereby achieving the most efficient heat transfer effect.

[0036] According to a crack sheet structure optimization system provided by the present invention, it further includes an optimization verification module, and the optimization verification module is communicatively connected to the operation module; the optimization verification module is configured to perform a heat transfer efficiency verification test under actual working conditions after determining the crack width W and the number of cracks N, and feedback the optimization effect and iteratively adjust the crack design until the optimal solution is reached by comparing the simulation data with the experimental data. The addition of the optimization verification module not only improves the scientificity and accuracy of the design, but also ensures the reliability and practicality of the design results.

[0037] Among them, the optimization verification module designs and performs a heat transfer efficiency verification test under actual working conditions according to the crack structure parameters output by the operation module. By comparing the simulation data with the data collected from the actual test, the optimization verification module can evaluate the actual heat transfer performance of the current crack design. Based on the comparative analysis of the simulation and measured data, the optimization verification module can identify the deviation between the design and the actual performance, and then transmit this feedback information back to the operation module. This feedback mechanism prompts the operation module to perform iterative adjustments according to the actual verification results, continuously optimizing the combination of the crack width W and the number of cracks N until the predetermined optimal heat transfer performance target is achieved. The optimization verification module can be a physical test bench or data analysis software that simulates the actual use environment.

[0038] Such as Figure 3As shown, according to a structure optimization system of a split fin provided by the present invention, a simulation unit is configured to simulate a trend curve of a heat transfer ratio based on a change in a split width W to generate a second ratio curve; an operation module is configured to determine an optimal value range of the split width W based on the second ratio curve, and calculate a split number N based on the optimal value range of the split width W and an optimal value range of a total split width W*N. In this embodiment, during the simulation, a series of data points are generated as the split width W changes, and then a trend curve (second ratio curve) of the heat transfer ratio changing with W is depicted. The operation module identifies an optimal value range of the split width W from the curve, where the optimal value range refers to the range within which the heat transfer ratio reaches the maximum. After determining the optimal range of W, the operation module further considers the influence of the total split width (W*N, where N represents the split number) involved above on the overall heat transfer performance. Through a mathematical optimization algorithm (such as gradient descent, genetic algorithm, etc.), the operation module calculates the split number N required to achieve the optimal heat transfer effect under the given optimal range of W. Through this systematic method, the optimal combination of the split width and the number can be accurately found, thereby designing a split fin structure with higher heat transfer efficiency.

[0039] According to Figure 2 the embodiment shown in, where W*N = 0 represents a flat fin without splits, it can be found that for the split fin with a fin structure of a 5 mm pipe diameter specification, when the product of the split width W and the split number N is between 0.43 - 0.46 times the fin width, the fin structure has the best heat transfer amount. Thus, a result of 0.43PL ≤ W*N ≤ 0.46PL can be obtained. Taking a fin width of 13.3 mm as an example, 5.719 < W*N < 6.118. Combining Figure 3 , from Figure 3 it can be seen that there is an optimal split width W that makes the heat transfer amount of the fin the highest. The value of W is between 1.4 - 1.5. Since the number N of splits is an integer, N can only be taken as 4. At this time, W can take any value between 1.43 - 1.5 to ensure the best heat transfer effect. Using the same method, the optimal split number and split width under various fin widths can be obtained.

[0040] According to a structure optimization system provided by the present invention, the simulation unit is further integrated with a machine learning algorithm component to self-learn and adjust the optimization strategy according to historical optimization cases. By integrating the machine learning algorithm component, the structure optimization system not only improves the optimization efficiency and effect, but also enhances the adaptability to complex environments and future requirements.

[0041] Specifically, the machine learning algorithm component can process and learn a large amount of data accumulated from past optimization cases. This data includes, but is not limited to, the relationship between the crack width W, the quantity N, and the heat transfer performance, as well as the combination of optimal design parameters under different conditions. Over time, the integrated machine learning model can predict the effects of different design solutions more and more accurately, providing intelligent recommendations for designers.

[0042] According to a crack sheet structure optimization system provided by the present invention, it can be understood that in the above-described embodiment, when the operation module calculates the crack quantity N, it uses the algorithm of rounding to the nearest integer to process non-integer values. Using the algorithm of rounding to the nearest integer to process the non-integer crack quantity N is a balance made between theoretical optimization and practical application, ensuring the feasibility of the design and the consistency of actual production, facilitating the precise manufacturing of an integer number of cracks, and being more convenient to handle an integer number of cracks in terms of installation, maintenance, etc.

[0043] According to a crack sheet structure optimization system provided by the present invention, it includes a history record module, and the history record module is communicatively connected to the input module and the output module; the history record module is configured to store the optimization results output by the output module, and directly generate the optimization results when the same basic parameters are input to the input module next time. By integrating the history record module, the crack sheet structure optimization system not only realizes the effective utilization of computing resources, but also accelerates the design process. For parameter combinations that have been processed, the system can directly call the optimization results from the history record, greatly reducing the computing time and accelerating the design iteration speed.

[0044] Among them, the input module is responsible for receiving the basic parameters input by the user or other systems, and these parameters include, but are not limited to, the material properties of the crack sheet, the expected application environment, the design constraint conditions, etc. After each optimization calculation of the system by the history record module, whether it is a new parameter combination or not, the optimization results (including the crack quantity, distribution, shape, etc.) will be recorded. When the input module receives an input that is the same as or similar to the basic parameters existing in the previous record, the history record module quickly compares and identifies it to avoid repeated calculations. The output module outputs the optimized crack sheet structure parameters based on the calculations of the operation module. If there is a matching item in the history record module, the historical data is directly called; otherwise, the results are output after a new optimization calculation.

[0045] According to a structure optimization system provided by the present invention, the historical record module is preferably further configured to perform data analysis on historical optimization results to analyze the trend of optimization results under different basic parameters. Specifically, the historical record module deeply analyzes the stored optimization results through advanced algorithms (such as regression analysis, clustering analysis, machine learning models, etc.), aiming to identify the influence trends and correlations of different basic parameters (such as material properties, geometric dimensions, external load conditions, etc.) on the performance of the crack sheet (such as strength, durability, stress distribution, etc.). Based on historical data analysis, the system can predict possible optimization results under new parameter combinations that have not been directly tested.

[0046] A structure optimization system for a crack sheet provided by the present invention includes a three-dimensional display module communicatively connected to an output module; the three-dimensional display module is configured to generate a three-dimensional model of the heat exchanger crack sheet based on the optimization results. The three-dimensional display module directly receives the output data from the optimization algorithm and quickly converts the abstract optimization results into an intuitive three-dimensional model, enabling the designer to immediately view the physical performance of the optimization results, quickly verify the design concept, and shorten the cycle from design to verification. The optimized three-dimensional model preferably further supports user interaction, allowing the designer to observe the crack sheet structure from different angles and even perform operations such as virtual disassembly, component rotation, transparency adjustment, etc., in order to deeply understand the specific details and effects of the optimized design. The crack sheet structure optimization system combined with the three-dimensional display module greatly enhances the efficiency, accuracy, and innovation of the design by providing a highly intuitive and interactive display of the optimization results. With the aid of advanced simulation technology, the three-dimensional display module can simulate the heat exchange process in the actual working environment and display physical phenomena such as heat transfer and pressure distribution of the crack sheet under specific working conditions, thereby verifying the effectiveness of the optimization scheme.

[0047] The present invention also provides a crack sheet, which includes a crack sheet main body in the shape of a rectangular thin sheet; the crack sheet main body is provided with assembly holes adapted to the heat exchanger and a plurality of parallelly arranged crack structures. The crack sheet main body presents a rectangular thin sheet shape, which is beneficial for being easily installed inside the heat exchanger and ensuring a sufficiently large surface area for heat exchange. The crack sheet main body is provided with assembly holes matching the heat exchanger, so that the crack sheet can be installed at a specified position.

[0048] This crack sheet preferably meets the optimization results of the crack sheet structure optimization system according to any one of the embodiments provided by the present invention. Specifically, the crack structures preferably have the same crack width W, and there is the same spacing between any adjacent crack structures, and this spacing is equal to the crack width W. All the cracks have a unified width W, and the spacing between adjacent cracks is also exactly equal to W, which not only ensures the uniformity of the structure but also is beneficial for the air to flow between the cracks and improves the heat exchange efficiency.

[0049] Furthermore, the ratio of the total width of the cracks W*N in multiple crack structures to the fin width PL of the crack fin body is the crack ratio Xn, and the crack ratio Xn satisfies 0 < Xn ≤ 0.5. The total crack width W*N satisfies X1*PL ≤ W*N ≤ X2*PL. When the crack ratio Xn is X1 and X2, the heat transfer ratio of the crack fin reaches the target ratio. When the crack ratio Xn is between X1 and X2, the heat transfer ratio exceeds the target ratio. Among them, the ratio of the total crack width (i.e., the width of a single crack W multiplied by the number of cracks N) to the fin width PL of the crack fin body is the crack ratio Xn. This ratio is limited between 0 and 0.5, meaning that the total crack area does not exceed half of the total fin area, ensuring sufficient open space to promote heat exchange while maintaining structural strength and stability. The specific value range of the crack ratio Xn is optimized to achieve or exceed the predetermined heat transfer efficiency target. When the crack ratio is exactly X1 or X2, the heat transfer ratio of the heat transfer fin just reaches the preset target ratio. When the crack ratio is between X1 and X2, the heat transfer performance is better than the target ratio. The crack fin of the present invention can achieve better heat exchange performance by precisely controlling the layout and size of the cracks.

[0050] The present invention also provides a heat exchanger provided with the above-mentioned crack fin. By integrating the crack fin of the present invention, the heat exchanger can significantly enhance its heat transfer capacity and improve the overall heat transfer efficiency. Since the size and structural layout of the crack fin have been calculated through a strict mathematical model, simulated, and possibly optimized by machine learning algorithms, it is ensured that the best heat exchange effect is achieved under specific working conditions. Therefore, the heat exchanger can not only exchange heat more effectively, but may also exhibit better performance in terms of energy consumption, space occupation, etc., and is suitable for industrial or commercial application environments with high requirements for heat transfer efficiency.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or equivalently replace some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A structural optimization system for a slit sheet, which is used for the structural design of a heat exchanger slit sheet, and is characterized in that the heat exchanger slit sheet is provided with a plurality of slit structures arranged in parallel, the slit structures have the same slit width W, and there is the same spacing between any adjacent slit structures, and this spacing is equal to the slit width W; the structural optimization system includes: an input module configured to input the basic parameters of the heat exchanger slit sheet, and the basic parameters include the fin width PL and the non-zero length L from both sides of the fin to the windowing area; an operation module communicatively connected to the input module, configured to calculate the slit width W and the number of slits N according to the fin width PL and the non-zero length L through a preset mathematical model; an output module communicatively connected to the operation module, configured to output an optimization result including the slit width W and the number of slits N, and the optimization result enables the slit sheet to have the best heat exchange performance.

2. The structural optimization system of the slit lamp according to claim 1, wherein, The input module is further configured to input user-defined heat exchange performance target parameters, and the operation module adjusts the combination of the slit width W and the number of slits N based on the basic parameters and the heat exchange performance target parameters to meet the requirements of specific application scenarios.

3. The structural optimization system of the slit lamp according to claim 1, characterized in that, The operation module includes a simulation unit; the product of the slit width W and the number of slits N is the total slit width W*N, and the simulation unit is configured to simulate the trend curve of the heat exchange ratio based on the change of the total slit width W*N to generate a first ratio curve; the operation module is configured to determine the best value range of the total slit width W*N based on the first ratio curve.

4. The structural optimization system of the slit lamp according to claim 3, characterized in that, The ratio of the total slit width W*N to the fin width PL is the slit ratio Xn, and the slit ratio Xn satisfies 0 < Xn ≤ 0.5; within the best value range of the total slit width W*N, the total slit width W*N satisfies X1*PL ≤ W*N ≤ X2*PL; where when the slit ratio Xn is X1 and X2, the heat exchange ratio reaches the target ratio, and when the slit ratio Xn is between X1 and X2, the heat exchange ratio exceeds the target ratio.

5. The structural optimization system of the slit lamp according to claim 4, characterized in that, It further includes an optimization verification module, and the optimization verification module is communicatively connected to the operation module; the optimization verification module is configured to perform a heat exchange efficiency verification test under actual working conditions after determining the slit width W and the number of slits N, and feedback the optimization effect and iteratively adjust the slit design until the optimal solution is reached by comparing the simulation data with the experimental data.

6. The structural optimization system of the slit lamp according to claim 4, wherein The simulation unit is configured to simulate the trend curve of the heat exchange ratio based on the change of the slit width W to generate a second ratio curve; the operation module is configured to determine the best value range of the slit width W based on the second ratio curve, and calculate the number of slits N based on the best value range of the slit width W and the best value range of the total slit width W*N.

7. The structural optimization system of the slit lamp according to claim 6, wherein, The simulation unit is further integrated with a machine learning algorithm component to self-learn and adjust the optimization strategy according to historical optimization cases.

8. The structural optimization system of the slit lamp according to any one of claims 1-7, characterized in that, When calculating the number of cracks N, the operation module processes non-integer values using an algorithm that rounds to the nearest integer.

9. The structural optimization system of the slit lamp according to any one of claims 1-7, characterized in that, It includes a history record module, which is communicatively connected to the input module and the output module; The history record module is configured to store the optimization results output by the output module, and directly generate the optimization results the next time the same basic parameters are input to the input module.

10. The structural optimization system of the slit lamp according to claim 9, characterized in that, The history record module is configured to perform data analysis on historical optimization results to analyze the trend of optimization results under different basic parameters.

11. The structural optimization system of the slit lamp according to any one of claims 1-7, characterized in that, It includes a three-dimensional display module communicatively connected to the output module; The three-dimensional display module is configured to generate a three-dimensional model of the heat exchanger crack sheet based on the optimization results.

12. A slit lamp, characterized in that, It includes a crack sheet body in the shape of a rectangular thin sheet; The crack sheet body is provided with assembly holes adapted to the heat exchanger and a plurality of parallel crack structures; The crack structures have the same crack width W, and there is the same spacing between any adjacent crack structures, and this spacing is equal to the crack width W; The ratio of the total crack width W*N of the plurality of crack structures to the fin width PL of the crack sheet body is the crack ratio Xn, the crack ratio Xn satisfies 0 < Xn ≤ 0.5, and the total crack width W*N satisfies X1*PL ≤ W*N ≤ X2*PL; When the crack ratio Xn is X1 and X2, the heat transfer ratio of the crack sheet reaches the target ratio, and when the crack ratio Xn is between X1 and X2, the heat transfer ratio exceeds the target ratio.

13. A heat exchanger, characterized in that, A crack sheet as described in claim 12 is provided.

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