Infrared thermal cage modeling method, system and equipment for improving thermal model correction efficiency and medium
By equating the fence-like structure of the infrared thermal cage to continuous surface elements and optimizing the strip coverage, the problems of low computational efficiency and simulation result deviation in spacecraft thermal models were solved, achieving efficient thermal model correction and improved simulation accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-29
- Publication Date
- 2026-03-13
AI Technical Summary
Existing thermal models suffer from low computational efficiency and discrepancies between simulation results and actual temperature distribution in spacecraft thermal analysis. This is especially true when using infrared thermal cages for ground-based thermal experiments, where traditional fence-type strip structure modeling results in large model sizes, low computational efficiency, and difficulty in convergence.
By employing a combined strategy of structural equivalence simplification and key parameter iterative optimization, the fence-like structure of the infrared thermal cage is equivalent to a continuous surface element with specific surface optical properties. By calculating the strip coverage and thermal balance relationship, the model complexity is simplified and the parameters are optimized. Combined with the measured data of the heat flow meter, the surface parameters of the thermal simulation model are iteratively verified and updated.
It significantly improves the overall efficiency of thermal simulation and thermal model correction, reduces engineering assumption errors, ensures the accuracy of simulation results and the reliability of calculations, and avoids the problems of large computational load and long iteration time in traditional modeling.
Smart Images
Figure CN121659441A_ABST
Abstract
Description
Technical Field This disclosure belongs to the field of spacecraft thermal analysis technology, and in particular relates to an infrared thermal cage modeling method, system, device and medium for improving the efficiency of thermal model correction. Background Technology
[0001] Spacecraft thermal analysis technology is a crucial component of spacecraft overall design, thermal control system development, and on-orbit performance evaluation. Its core lies in accurately predicting the spacecraft's on-orbit temperature field by establishing a high-precision thermal analysis model. However, with the increasing complexity of spacecraft structures and functions, the diversification of their material systems, and the refinement of their configurations, the establishment and correction of thermal models have become extremely challenging.
[0002] In establishing thermal analysis models, necessary engineering simplifications and assumptions are usually required. Furthermore, key thermophysical parameters such as material thermal conductivity, contact thermal resistance, and coating surface absorptivity-emissivity inherently possess uncertainties. In addition, the inherent discretization and truncation errors of numerical calculation methods contribute to discrepancies between the thermal mathematical model and the actual physical model, making it difficult for simulation results to fully and accurately reproduce the actual temperature distribution of the spacecraft in orbit.
[0003] Specifically, in scenarios involving ground-based thermal experiments using infrared thermal cages, existing modeling methods typically tend to perform detailed geometric modeling of the cage's grid-like strip structure. While this approach is intuitive, it significantly increases the number of meshes and node size in the model. In subsequent simulation calculations, especially during parameterized iterative corrections, the massive model size directly leads to low computational efficiency and even convergence difficulties. Summary of the Invention
[0004] To address the aforementioned issues, this disclosure provides an infrared thermal cage modeling method, system, device, and medium for improving the efficiency of thermal model calibration. It employs a combination strategy of structural equivalence simplification and key parameter iterative optimization, which fundamentally reduces model complexity while ensuring the accuracy of the model's thermal radiation characteristics, thereby significantly improving the overall efficiency of thermal simulation and thermal model calibration.
[0005] In a first aspect, this disclosure provides an infrared thermal cage modeling method for improving the efficiency of thermal model correction, the method comprising, The strip coverage rate is determined based on the infrared heat cage production data, and the heat transmittance of the heat cage radiating surface is calculated based on the strip coverage rate. Based on the thermal equilibrium relationship, the fence structure of the infrared thermal cage is equivalent to a continuous surface element with specific surface optical properties, and the shape factor is converted into a material factor to construct a thermal simulation model of the thermal cage. Based on the heat transmittance and the actual reflectance and emissivity of the actual heat cage surface, calculate the simulated reflectance and emissivity of the front of the radiating surface in the heat cage thermal simulation model. The strip coverage rate in the thermal simulation model of the heat cage was checked, and the strip coverage rate value was iteratively optimized by comparing the measured data of the heat flow meter with the simulation results. The surface parameters of the thermal cage radiating surface are updated based on the optimized strip coverage value for subsequent thermal model correction calculations.
[0006] Furthermore, The heat transmittance of the radiating surface of the heat cage is calculated based on the strip coverage rate, satisfying the relationship: τ=1-φ, where τ is the heat transmittance and φ is the strip coverage rate.
[0007] Furthermore, Based on the thermal equilibrium relationship, the fence-like structure of the infrared thermal cage is equivalent to a continuous surface element with specific surface optical properties, specifically including: When the actual infrared heat cage reaches thermal equilibrium in the vacuum chamber, it satisfies the thermal equilibrium relationship: ρ'+ε'+τ'=1, where ρ' is the actual reflectivity of the black paint sprayed on the front strip of the heat cage, ε' is the actual emissivity of the black paint sprayed on the front strip of the heat cage, and τ' is the actual transmittance of the front of the heat cage. Since the infrared heat cage strip is made of nickel-chromium, the front of the strip is sprayed with thermal control black paint and the back is glossy, so its actual transmittance τ'=0. Based on the aforementioned thermal balance relationship, the shape factor of the fence structure is transformed into the material factor of the continuous surface element, thereby achieving the equivalence of the fence structure to the continuous surface element.
[0008] Furthermore, Calculate the simulated reflectivity and emissivity of the radiating surface in the thermal simulation model of the thermal cage, specifically including: Based on the heat transmittance τ=1-φ, the actual reflectance ρ' and the actual emissivity ε', the simulated reflectance ρ1 is calculated based on the formula ρ1=ρ'×φ, and the simulated emissivity ε1 is calculated based on the formula ε1=ε'×φ. Where ρ1 is the simulated reflectivity of the front of the radiating surface in the thermal simulation model of the thermal cage, and ε1 is the simulated emissivity of the front of the radiating surface in the thermal simulation model of the thermal cage.
[0009] Furthermore, The method also includes calculating the simulated reflectivity ρ2 and simulated emissivity ε2 on the back side of the radiating surface in the thermal simulation model of the heat cage; Based on the actual reflectivity ρ″ and actual emissivity ε″ of the strip on the back of the heat cage, the simulated reflectivity ρ2 is calculated using the formula ρ2=ρ″×φ, and the simulated emissivity ε2 is calculated using the formula ε2=ε″×φ.
[0010] Furthermore, The strip coverage in the thermal simulation model of the heat cage is checked, specifically including: In the thermal simulation environment, a corresponding model including a vacuum tank, cold plate, guide rail and infrared heat cage support is established, and the thermal conductivity relationship and temperature boundary are set according to the actual configuration. The infrared thermal cage fence structure is modeled as a thin-shell unit, with its radiating surface area covering strips and gaps, and the front and back sides are given converted surface optical parameters. Construct a thermal simulation model of the heat flow meter, and determine the simulation temperature of the heat flow meter based on the thermal simulation model; Under multiple thermal equilibrium test conditions, record the current flowing into each section of the heat cage, the calculated heating power, and the corresponding calibrated temperature of the heat flow meter. By comparing the calibrated temperature with the simulated temperature, the strip coverage rate in the thermal cage simulation model is iteratively adjusted based on the comparison results until the actual consistency between several simulated temperatures and their corresponding calibrated temperatures under multiple thermal equilibrium test conditions is higher than the preset consistency rate, and then the approximate value of the strip coverage rate is obtained.
[0011] Furthermore, The process of updating the surface parameters of the thermal cage radiating surface based on the optimized strip coverage value specifically includes: Substitute the strip coverage approximation value obtained from the verification into the simulation reflectivity and emissivity of the front and back of the heat cage radiating surface, and update the surface optical parameters of the front and back of the radiating surface in the thermal simulation model of the heat cage. Based on the updated surface optical parameters, the thermal cage simulation model is updated to perform updated thermal simulation calculations and thermal model correction.
[0012] Secondly, based on the same inventive concept, this disclosure provides an infrared thermal cage modeling system for improving the efficiency of thermal model correction, the system comprising: The calculation module is used to determine the strip coverage rate based on the infrared heat cage production data, and to calculate the heat transmittance of the heat cage radiating surface based on the strip coverage rate. The conversion module is used to convert the fence structure of the infrared thermal cage into a continuous surface element with specific surface optical properties based on the thermal equilibrium relationship, and to convert the shape factor into the material factor. The simulation module is used to calculate the simulated reflectivity and simulated emissivity of the front surface of the radiating surface in the thermal simulation model of the heat cage based on the heat transmittance and the actual reflectivity and emissivity of the actual heat cage surface. The optimization module is used to verify the strip coverage in the thermal simulation model of the heat cage. By comparing the measured data of the heat flow meter with the simulation results, the strip coverage value is iteratively optimized. The calibration module is used to update the surface parameters of the heat cage radiating surface based on the optimized strip coverage value, which is then used for subsequent thermal model calibration calculations.
[0013] Thirdly, this disclosure also provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When the processor executes a program stored in memory, it implements any of the steps described above for improving the efficiency of the infrared thermal cage modeling method for thermal model correction.
[0014] Fourthly, this disclosure also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of any of the infrared thermal cage modeling methods described above for improving the efficiency of thermal model correction.
[0015] Compared with the prior art, this disclosure has the following advantages: 1. By converting fences into continuous surface elements, modeling is simplified, solving the problems of large computational load and long time consumption in traditional strip modeling. Accuracy is ensured through coverage verification, solving the problem of model decoupling from reality caused by engineering assumption errors.
[0016] 2. The strip coverage rate can be directly extracted from the infrared thermal cage production data, and the transmittance can be calculated using a simple linear formula. This avoids the problems of existing technologies that require complex equipment to measure transmittance, are cumbersome to operate, and are prone to measurement errors, thus laying a reliable foundation of parameters for subsequent equivalent modeling.
[0017] 3. Several strip discrete models are equivalent to partitioned continuous surface elements, which reduces the number of computational units and avoids the problems of many traditional modeling units, many nodes, and long time-consuming iterative calculations during correction. Based on the conversion of shape factor to material factor, it is ensured that the thermal reflection and thermal radiation effects of the equivalent continuous surface elements are completely consistent with the actual fence structure, thereby improving the accuracy of simplified modeling.
[0018] 4. By combining thin-shell unit, back-side radiation-free and non-thermal-conducting connection, the actual working state of the heat flow meter is restored, avoiding the problem of comparison deviation caused by heat flow meter modeling distortion in the prior art, and ensuring the reliability of the verification results.
[0019] Other features and advantages of this disclosure will be set forth in the following description and will be apparent in part from the description or may be learned by practicing the disclosure. The objects and other advantages of this disclosure may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description
[0020] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0021] Figure 1 A schematic flowchart of an infrared thermal cage modeling method for improving the efficiency of thermal model correction according to an embodiment of the present disclosure is shown. Detailed Implementation
[0022] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.
[0023] Infrared heat cages are key equipment for simulating the thermal environment of space in spacecraft thermal balance tests, and they need to be used in conjunction with equipment such as vacuum tanks and heat flow meters. The embodiments disclosed herein are based on the "vacuum environment assumption" (simulating the on-orbit space environment) of spacecraft thermal analysis by default, and the infrared thermal cage strip material is the "nickel-chromium strip" (the front is sprayed with thermal control black paint and the back is glossy) as specified in the document. If the material is not this or the scenario is not a vacuum, additional parameters need to be adjusted.
[0024] Figure 1 A flowchart illustrating an infrared thermal cage modeling method for improving thermal model correction efficiency according to an embodiment of the present disclosure is shown, as follows: Figure 1 As shown, the infrared thermal cage modeling method for improving the efficiency of thermal model correction according to embodiments of this disclosure includes, S1, determine the strip coverage rate based on infrared heat cage production data, and calculate the heat transmittance of the heat cage radiating surface based on the strip coverage rate; The heat transmittance of the radiating surface of the heat cage is calculated based on the strip coverage rate, satisfying the relationship: τ=1-φ, where τ is the heat transmittance and φ is the strip coverage rate.
[0025] In this embodiment of the disclosure, the strip coverage rate φ of each zone has been clearly set during the infrared hot cage production process, and the strip coverage rate φ of the zone is obtained directly from the production data; Assuming that energy loss due to reflection, scattering, and absorption by the medium during heat propagation is negligible, the heat transmittance of the radiating surface of the heat cage is equated to the transmittance τ of the radiating surface in the heat cage thermal simulation model, and the transmittance τ = 1. φ.
[0026] In this embodiment of the disclosure, the “zoning setting” in the production data refers to the division of the infrared heat cage into different heating areas according to function (such as the thermal environment simulation area for different sections of a spacecraft). The strip spacing of each area is designed according to the heating requirements, and then the φ is determined (e.g., the strips are dense in the high heat demand area, φ=80%; the strips are sparse in the low heat demand area, φ=50%). φ is a fixed value that is actually calculated by measuring “strip area / total area of the area” during production, and can be directly extracted from the heat cage production drawings and quality inspection reports.
[0027] In this embodiment of the disclosure, the infrared heat cage operates inside a vacuum chamber (without air medium), and the thermal control black paint sprayed on the strip is a "highly selective coating" (with stable reflection / absorption characteristics for specific wavelength thermal radiation). During the propagation of light (thermal radiation), there is no air scattering or medium absorption, and only the blocking effect of the strip itself needs to be considered, so the additional energy loss can be ignored.
[0028] In this embodiment, the value of φ is 0~1 (or 0%~100%, such as φ=0.6, which is 60%), and the value of τ is 0~1. τ and φ have an inverse linear relationship (the larger φ is, the more severe the strip occlusion, and the smaller τ is).
[0029] S2, based on the thermal equilibrium relationship, the fence structure of the infrared thermal cage is equivalent to a continuous surface element with specific surface optical properties, and the shape factor is converted into a material factor. In this embodiment of the disclosure, the fence-like structure of the infrared thermal cage is equivalent to a continuous surface element with specific surface optical properties based on the thermal equilibrium relationship, specifically including: When an actual infrared thermal cage reaches thermal equilibrium in a vacuum chamber, it satisfies the following thermal equilibrium relationship: ρ ’ +ε ’ +τ ’ =1, where ρ ’ ε represents the actual reflectance of the strip on the front of the heat cage coated with black paint. ’ τ represents the actual emissivity of the strip on the front of the heat cage coated with black paint. ’ The actual transmittance τ represents the front surface of the infrared heat cage. Since the infrared heat cage strip is made of nickel-chromium, and the front surface is coated with thermal control black paint while the back surface undergoes a glossy finish, its actual transmittance τ is... ’ =0; Based on the aforementioned thermal balance relationship, the shape factor of the fence structure is transformed into the material factor of the continuous surface element, thereby achieving the equivalence of the fence structure to the continuous surface element.
[0030] In this embodiment of the disclosure, the shape factor refers to the "strip layout characteristics" of the fence structure - the core of which is the "strip coverage φ" (for example, 60% of the area of a certain region is strips and 40% is gaps, φ=60%), which determines the "shape effect" of heat transfer (the more gaps, the easier it is for heat to pass through; the more strips, the easier it is for heat to be reflected / radiated). Material factors refer to the "surface optical properties" of continuous surface elements—namely, the transmittance τ1, reflectance ρ1, and emissivity ε1 of the surface elements. These parameters directly describe the "material's ability to transfer heat" and are the core data for defining surface elements in thermal simulation.
[0031] In this embodiment, the strip coverage φ (shape factor) determines the "effective area"—only the area covered by the strip can generate reflection / radiation, while the gap area can only transmit light. Therefore, by combining φ with the actual reflectivity ρ' and emissivity ε', the "influence of shape on heat transfer" can be transformed into the "numerical value of surface properties of the element" (material factor), ensuring that the heat transfer effect is consistent with the actual fence structure.
[0032] S3. Based on the heat transmittance and the actual reflectance and emissivity of the actual heat cage surface, calculate the simulated reflectance and emissivity of the front of the radiating surface in the heat cage thermal simulation model. In this embodiment of the disclosure, the calculation of the simulated reflectivity and simulated emissivity of the radiating surface in the thermal simulation model of the thermal cage specifically includes: Based on the stated thermal transmittance τ=1-φ and actual reflectance ρ ’ and actual emissivity ε ’ Based on the formula ρ1=ρ ’ The simulated reflectivity ρ1 is calculated using ×φ, based on the formula ε1=ε ’ Calculate the simulated emissivity ε1 using ×φ; Where ρ1 is the simulated reflectivity of the front of the radiating surface in the thermal simulation model of the thermal cage, and ε1 is the simulated emissivity of the front of the radiating surface in the thermal simulation model of the thermal cage.
[0033] In this embodiment of the disclosure, the actual reflectivity ρ is obtained through "material performance testing". ’ and actual emissivity ε ’ For example, the emissivity ε of thermally controlled black paint can be measured using a Fourier transform infrared spectrometer. ’ (Usually thermal control black paint ε) ’ =0.85~0.95), the reflectivity ρ was measured using an integrating sphere reflectometer. ’ (usually ρ) ’ =0.05~0.15, satisfying ρ ’ +ε ’ ≈1).
[0034] In this embodiment of the disclosure, the method further includes calculating the simulated reflectivity ρ2 and simulated emissivity ε2 of the back surface of the radiating surface in the thermal simulation model of the thermal cage; Based on the actual reflectivity ρ of the strip on the back of the heat cage ″ and actual emissivity ε ″ Based on the formula ρ2=ρ ″ The simulated reflectivity ρ2 is calculated using the formula ε2=ε. ″ The simulated emissivity ε2 is calculated using the formula ×φ.
[0035] In this embodiment, the back of the infrared heat cage will exchange heat radiation with the inner wall of the vacuum tank, the support and other equipment (such as the heat radiated from the back being absorbed by the inner wall of the vacuum tank). If the back parameters are ignored, it will cause the thermal balance deviation of the thermal simulation model (the error may exceed 10%). Therefore, it must be calculated simultaneously. The strip coverage φ on the back is exactly the same as that on the front (the strip layout in the same area is consistent). Therefore, the φ value on the front is directly used in the calculation, without additional measurement, which simplifies the operation process.
[0036] S4. The strip coverage rate in the thermal simulation model of the heat cage is checked. The strip coverage rate value is iteratively optimized by comparing the measured data of the heat flow meter with the simulation results. In this embodiment of the disclosure, the strip coverage in the thermal simulation model of the heat cage is checked, specifically including: In the thermal simulation environment, a corresponding model including a vacuum tank, cold plate, guide rail and infrared heat cage support is established, and the thermal conductivity relationship and temperature boundary are set according to the actual configuration. The infrared thermal cage fence structure is modeled as a thin-shell unit, with its radiating surface area covering strips and gaps, and the front and back sides are given converted surface optical parameters. Construct a thermal simulation model of the heat flow meter, and determine the simulation temperature of the heat flow meter based on the thermal simulation model; Under multiple thermal equilibrium test conditions, record the current flowing into each section of the heat cage, the calculated heating power, and the corresponding calibrated temperature of the heat flow meter. By comparing the calibrated temperature with the simulated temperature, the strip coverage rate in the thermal cage simulation model is iteratively adjusted based on the comparison results until the degree of agreement between several simulated temperatures and their corresponding calibrated temperatures under multiple thermal equilibrium test conditions is higher than the preset degree of agreement, and then the approximate value of the strip coverage rate is obtained.
[0037] In this embodiment of the disclosure, thermal simulation software (such as ANSYS, SINDA / FLUINT) is used to draw 3D models of the vacuum tank (a container simulating the vacuum environment of space), the cold plate (a device for cooling the experiment), the guide rail (a component for fixing the heat cage), and the infrared heat cage support according to actual dimensions.
[0038] In this embodiment, thermal conductivity (a parameter describing heat transfer capability) is added to the model according to the actual connection method of the device. For example, if the heat cage and the support are in metal-to-metal contact, the thermal conductivity for metal-to-metal contact is set to 10-50 W / (m²). K (this value comes from the material handbook or experimental measurements); the thermal conductivity between the inner wall of the vacuum chamber and the air (although it is a vacuum, there are trace amounts of residual air) is set to 0.001~0.01W / (m²) based on the actual vacuum level during the experiment. K).
[0039] In this embodiment, the temperature of the vacuum tank is set to the "actual measured temperature during the actual thermal balance test"—for example, when simulating a cold space background, the temperature of the inner wall of the vacuum tank is set to -196℃ (the actual value of liquid nitrogen cooling); when simulating solar heating, it is set to room temperature of 25℃ to ensure that the simulation environment is completely consistent with the actual test.
[0040] In this embodiment of the disclosure, the thin-shell unit may be a SHELL151 unit.
[0041] In this embodiment of the disclosure, the "radiating surface" of the heat cage should include the entire area of "strips + gaps"—for example, a certain section is actually 10cm × 10cm (of which 6cm is...). ² It's a strip, 4cm ² (It's a gap), so in the simulation, a complete 10cm×10cm surface element is drawn instead of each strip individually.
[0042] In this embodiment of the disclosure, assigning converted surface optical parameters to the front and back sides includes inputting initial simulation parameters into the thermal simulation model of the heat cage, specifically including: Front (sprayed with thermally controlled black paint): Simulated reflectance ρ1 calculated based on "initial coverage φ" (e.g., φ=60% + actual reflectance ρ) ’ =0.1, calculated ρ1=0.06), simulated emissivity ε1 (actual ε ’ =0.9, so ε1 = 0.54). Back side (glossy finish): Similarly, the simulated reflectivity ρ2 (actual ρ) is calculated. ″ =0.8, calculated ρ2=0.48), simulated emissivity ε2 (actual ε ″ =0.2, so ε2 = 0.12).
[0043] In this embodiment of the disclosure, constructing a thermal simulation model of the heat flow meter specifically includes: Create a thin-shell unit that matches the actual size of the heat flow meter, with surface optical properties consistent with the actual unit, radiation function disabled on the back, and no thermally conductive connection to surrounding equipment and the heat cage. Add heat capacity to the heat flow meter based on its mass, and ensure that its placement, the orientation of its radiating surface, and its distance from the radiating surface of the heat cage are consistent with the thermal balance test conditions.
[0044] In this embodiment of the disclosure, multiple sets of operating conditions need to be selected: at least 3 to 5 different sets of operating conditions (covering the actual possible thermal environment), for example: Operating Condition 1: Low heat output (20W) + vacuum tank with cold background (-196℃); Operating Condition 2: Medium heat output (40W) + vacuum chamber at room temperature (25℃); Operating Condition 3: High heat output (60W) + vacuum tank with cold background (-196℃).
[0045] In this embodiment, if the simulated temperature is greater than the calibrated temperature, it indicates that the heat radiated by the heat cage is high, because the larger the coverage φ, the higher the simulated emissivity ε1 = ε ’ The larger the ×φ is, the stronger the radiation and the higher the temperature, so φ should be reduced (for example, from 60% to 58%). If the simulation temperature is lower than the calibration temperature, it means that the heat radiated by the heat cage is low, and φ needs to be increased (for example, from 60% to 62%).
[0046] In this embodiment of the disclosure, the actual degree of agreement between a number of simulated temperatures and their corresponding calibration temperatures is the percentage of the number of simulated temperatures that are equal to their corresponding calibration temperatures out of the total number of simulated temperatures. The preset degree of agreement is 2 / 3.
[0047] S5 updates the surface parameters of the thermal cage radiation surface based on the optimized strip coverage value, which is used for subsequent thermal model correction calculations.
[0048] In this embodiment of the disclosure, updating the surface parameters of the thermal cage radiating surface based on the optimized strip coverage value specifically includes: Substitute the strip coverage approximation value obtained from the verification into the simulation reflectivity and emissivity of the front and back of the heat cage radiating surface, and update the surface optical parameters of the front and back of the radiating surface in the thermal simulation model of the heat cage. Based on the updated surface optical parameters, the thermal cage simulation model is updated to perform updated thermal simulation calculations and thermal model correction.
[0049] Based on the above method, this disclosure also provides an infrared thermal cage modeling system for improving the efficiency of thermal model correction, corresponding to the above method, the system comprising: The calculation module is used to determine the strip coverage rate based on the infrared heat cage production data, and to calculate the heat transmittance of the heat cage radiating surface based on the strip coverage rate. The conversion module is used to convert the fence structure of the infrared thermal cage into a continuous surface element with specific surface optical properties based on the thermal equilibrium relationship, and to convert the shape factor into the material factor. The simulation module is used to calculate the simulated reflectivity and simulated emissivity of the front surface of the radiating surface in the thermal simulation model of the heat cage based on the heat transmittance and the actual reflectivity and emissivity of the actual heat cage surface. The optimization module is used to verify the strip coverage in the thermal simulation model of the heat cage. By comparing the measured data of the heat flow meter with the simulation results, the strip coverage value is iteratively optimized. The calibration module is used to update the surface parameters of the heat cage radiating surface based on the optimized strip coverage value, which is then used for subsequent thermal model calibration calculations.
[0050] Based on the same inventive concept as the above disclosure, this disclosure also provides an electronic device. The electronic device of this disclosure includes at least one processor and at least one memory electrically connected to the processor. The memory is electrically connected to the processor, wherein the memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method described above.
[0051] It should be noted that the electrical connection between the above-mentioned units does not necessarily mean the connection between lines. The indirect connection method can be applied to the embodiments of this disclosure as long as it achieves the purpose of this disclosure.
[0052] Based on the same inventive concept, this disclosure also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of the above method.
[0053] Although the present disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and such modifications or substitutions 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 disclosure.
Claims
1. An infrared thermal cage modeling method for improving the efficiency of thermal model calibration, characterized in that, The method includes, The strip coverage rate is determined based on the infrared heat cage production data, and the heat transmittance of the heat cage radiating surface is calculated based on the strip coverage rate. Based on the thermal equilibrium relationship, the fence structure of the infrared thermal cage is equivalent to a continuous surface element with specific surface optical properties, and the shape factor is converted into a material factor to construct a thermal simulation model of the thermal cage. Based on the heat transmittance and the actual reflectance and emissivity of the actual heat cage surface, calculate the simulated reflectance and emissivity of the front of the radiating surface in the heat cage thermal simulation model. The strip coverage rate in the thermal simulation model of the heat cage was checked, and the strip coverage rate value was iteratively optimized by comparing the measured data of the heat flow meter with the simulation results. The surface parameters of the thermal cage radiating surface are updated based on the optimized strip coverage value for subsequent thermal model correction calculations.
2. The method according to claim 1, characterized in that, The heat transmittance of the radiating surface of the heat cage is calculated based on the strip coverage rate, satisfying the relationship: τ=1-φ, where τ is the heat transmittance and φ is the strip coverage rate.
3. The method according to claim 2, characterized in that, Based on the thermal equilibrium relationship, the fence-like structure of the infrared thermal cage is equivalent to a continuous surface element with specific surface optical properties, specifically including: When an actual infrared thermal cage reaches thermal equilibrium in a vacuum chamber, it satisfies the following thermal equilibrium relationship: ρ ’ +ε ’ +τ ’ =1, where ρ ’ ε represents the actual reflectance of the strip on the front of the heat cage coated with black paint. ’ τ represents the actual emissivity of the strip on the front of the heat cage coated with black paint. ’ The actual transmittance τ represents the front surface of the infrared heat cage. Since the infrared heat cage strip is made of nickel-chromium, and the front surface is coated with thermal control black paint while the back surface undergoes a glossy finish, its actual transmittance τ is... ’ =0; Based on the aforementioned thermal balance relationship, the shape factor of the fence structure is transformed into the material factor of the continuous surface element, thereby achieving the equivalence of the fence structure to the continuous surface element.
4. The method according to claim 3, characterized in that, Calculate the simulated reflectivity and emissivity of the radiating surface in the thermal simulation model of the thermal cage, specifically including: Based on the stated thermal transmittance τ=1-φ and actual reflectance ρ ’ and actual emissivity ε ’ Based on the formula ρ1=ρ ’ The simulated reflectivity ρ1 is calculated using ×φ, based on the formula ε1=ε ’ Calculate the simulated emissivity ε1 using ×φ; Where ρ1 is the simulated reflectivity of the front of the radiating surface in the thermal simulation model of the thermal cage, and ε1 is the simulated emissivity of the front of the radiating surface in the thermal simulation model of the thermal cage.
5. The method according to claim 4, characterized in that, The method also includes calculating the simulated reflectivity ρ2 and simulated emissivity ε2 on the back side of the radiating surface in the thermal simulation model of the heat cage; Based on the actual reflectivity ρ of the strip on the back of the heat cage ″ and actual emissivity ε ″ Based on the formula ρ2=ρ ″ The simulated reflectivity ρ2 is calculated using the formula ε2=ε. ″ The simulated emissivity ε2 is calculated using the formula ×φ.
6. The method according to claim 5, characterized in that, The strip coverage in the thermal simulation model of the heat cage is checked, specifically including: In the thermal simulation environment, a corresponding model including a vacuum tank, cold plate, guide rail and infrared heat cage support is established, and the thermal conductivity relationship and temperature boundary are set according to the actual configuration. The infrared thermal cage fence structure is modeled as a thin-shell unit, with its radiating surface area covering the strip and the gap area, and the front and back sides are given the converted surface optical parameters. Construct a thermal simulation model of the heat flow meter, and determine the simulation temperature of the heat flow meter based on the thermal simulation model; Under multiple thermal equilibrium test conditions, record the current flowing into each section of the heat cage, the calculated heating power, and the corresponding calibrated temperature of the heat flow meter. By comparing the calibrated temperature with the simulated temperature, the strip coverage rate in the thermal cage simulation model is iteratively adjusted based on the comparison results until the actual consistency between several simulated temperatures and their corresponding calibrated temperatures under multiple thermal equilibrium test conditions is higher than the preset consistency rate, and then the approximate value of the strip coverage rate is obtained.
7. The method according to claim 6, characterized in that, The process of updating the surface parameters of the thermal cage radiating surface based on the optimized strip coverage value specifically includes: Substitute the strip coverage approximation value obtained from the verification into the simulation reflectivity and emissivity of the front and back of the heat cage radiating surface, and update the surface optical parameters of the front and back of the radiating surface in the thermal simulation model of the heat cage. Based on the updated surface optical parameters, the thermal cage simulation model is updated to perform updated thermal simulation calculations and thermal model correction.
8. An infrared thermal cage modeling system for improving the efficiency of thermal model correction, characterized in that, The system includes: The calculation module is used to determine the strip coverage rate based on the infrared heat cage production data, and to calculate the heat transmittance of the heat cage radiating surface based on the strip coverage rate. The conversion module is used to convert the fence structure of the infrared thermal cage into a continuous surface element with specific surface optical properties based on the thermal equilibrium relationship, and to convert the shape factor into the material factor. The simulation module is used to calculate the simulated reflectivity and simulated emissivity of the front surface of the radiating surface in the thermal simulation model of the heat cage based on the heat transmittance and the actual reflectivity and emissivity of the actual heat cage surface. The optimization module is used to verify the strip coverage in the thermal simulation model of the heat cage. By comparing the measured data of the heat flow meter with the simulation results, the strip coverage value is iteratively optimized. The calibration module is used to update the surface parameters of the thermal cage radiating surface based on the optimized strip coverage value, which is then used for subsequent thermal model calibration calculations.
9. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements the steps of the infrared thermal cage modeling method for improving the efficiency of thermal model correction as described in any one of claims 1-7.
10. A computer storage medium, characterized in that, The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of the infrared thermal cage modeling method for improving the thermal model correction efficiency as described in any one of claims 1-7.