Complex surface object optical property equivalent method and system based on simulation experiment

Abstract

The application provides a complex surface object optical property equivalent method and system based on simulation experiments, comprising: establishing a target grid model based on an adaptive grid division mode; completing simulation calculation of equivalent infrared emissivity of the complex surface object under a cold space environment without external heat flow and given heat power; and completing simulation calculation of equivalent solar absorptivity of the complex surface object under a sun-oriented directional orbit environment. The application has small calculation amount, low cost and strong universality, and provides a new idea for a complex surface object optical property acquisition method.

Description

Technical Field

[0001] This invention belongs to the field of material optical property calculation technology, specifically, it relates to a method and system for equivalence of optical properties of complex surface objects based on simulation experiments. Background Technology

[0002] In the space environment, thermal radiation is the primary mode of heat transfer. The optical properties of an object's surface are key factors influencing its temperature level. For most solids and liquids, their on-orbit temperature can be calculated relatively accurately by obtaining their infrared emissivity and solar absorptivity. However, with advancements in science and technology, spacecraft payload arrays are becoming increasingly massive and structurally complex, leading to excessive computational demands for thermal design. Therefore, conveniently and accurately obtaining surface optical properties is of great significance for the thermal design of spacecraft.

[0003] Currently, experimental devices are generally used to measure the surface optical properties of objects, but this method is costly and has a significant impact on the development process and cycle.

[0004] To address the aforementioned issues, it is necessary to develop a method for acquiring the optical properties of object surfaces that requires minimal computation, has low cost, and is widely applicable.

[0005] Research revealed that patent document CN115455674A discloses an end-to-end method for inverting temperature and emissivity from airborne thermal infrared hyperspectral imagery, proposing a practical algorithm model for retrieving surface temperature and emissivity from thermal infrared hyperspectral imagery data. However, it requires hyperspectral imagery as source data, which is difficult to obtain.

[0006] Patent document CN105590035B discloses a method for calculating high-precision microwave surface emissivity, proposing to obtain the calculated surface emissivity by combining the weights of each model in the simulation set with a weighted average method. However, establishing the simulation set requires a standardized spatiotemporal physical unified sample dataset, which has a complex input format and is difficult to obtain.

[0007] Patent document CN115438393A discloses a simulation method for hybrid domain infrared radiation characteristics, including establishing a tetrahedral partitioned model, calculating internal energy transfer based on the time-domain finite element method, employing an infrared radiation intensity calculation method based on high-frequency approximation, and completing the simulation calculation of infrared radiation characteristics based on the internal energy transfer calculation results. This patent document requires calculating the infrared radiation intensity through a high-frequency approximation algorithm to obtain the corresponding infrared parameters, which involves a large amount of computation.

[0008] Patent document CN109580543B discloses a method for obtaining the thermal emissivity of a parallel plate under a thermal distribution gradient. The method includes discretizing the continuous temperature gradient in the parallel plate, slicing the material into planar slices in a direction perpendicular to the axial direction, and linearly superimposing the radiated light intensity of the multiple slices to obtain the calculation method for the thermal emissivity of the parallel plate. This patent document applies to parallel plates and is not suitable for complex surface objects.

[0009] Patent document CN109580698B establishes a detailed simulation model of the target to calculate the temperature field and infrared radiation field. If the target surface configuration is complex, a large number of meshes need to be generated, which will exceed the computing power of existing computers. However, this invention obtains the equivalent radiometric properties of these complex surfaces through simulation first, so that it is not necessary to build this surface model in the subsequent overall temperature field calculation, thereby significantly reducing the amount of computation. Summary of the Invention

[0010] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method and system for equivalence of optical properties of complex surface objects based on simulation experiments.

[0011] The present invention provides a method for equivalence of optical properties of complex surface objects based on simulation experiments, comprising:

[0012] Step S1: Establish a mesh model based on the adaptive mesh generation method;

[0013] Step S2: Given the total heat generation power P of the mesh model in the space environment, perform thermal radiation calculation to complete the simulation calculation of the equivalent infrared emissivity of complex surface objects;

[0014] Step S3: In the orbital environment, perform thermal radiation calculations based on the object's equivalent infrared emissivity to complete the simulation calculation of the equivalent solar absorptivity of complex surface objects.

[0015] Preferably, step S1 includes:

[0016] Step S1.1: Create a 3D model of the target object with a complex surface;

[0017] Step S1.2: Perform adaptive mesh generation on the 3D model of the target object;

[0018] Step S1.3: Assign material and optical properties to the mesh obtained by mesh generation to establish a mesh model.

[0019] Preferably, step S2 includes:

[0020] Step S2.1: Place the mesh model in the spatial environment, and give the total heat generation power P of the mesh model;

[0021] Step S2.2: Obtain the temperature results of each grid at equilibrium through thermal radiation calculation;

[0022] Step S2.3: Using Formula 1, calculate the equivalent infrared emissivity of the complex surface object. Formula 1 is:

[0023]

[0024] In the formula, ε is the infrared emissivity, P is the total heat generation power of the mesh model, A is the total area of ​​the mesh, and T is the total area of ​​the mesh. A This represents the temperature result when one of the grids is in equilibrium, where σ is the blackbody radiation constant.

[0025] The space environment is a cold space environment with no external heat flow.

[0026] Preferably, step S3 includes:

[0027] Step S3.1: Place the mesh model in the orbit, given a constant solar flux I;

[0028] Step S3.2: Obtain the temperature results of each grid at equilibrium through thermal radiation calculation;

[0029] Step S3.3: Using Formula 2, calculate the equivalent solar absorptivity of the complex surface object. Formula 2 is:

[0030]

[0031] In the formula, α s I represents the solar absorptivity, and I represents the constant solar flux.

[0032] The orbit is a sun-oriented orbit, and the calculated object's attitude remains unchanged, subject to a constant external heat flow.

[0033] According to the present invention, an equivalent system of optical properties of complex surface objects based on simulation experiments is provided, comprising:

[0034] Module M1: Establishes a mesh model based on an adaptive mesh generation method;

[0035] Module M2: Given the total heat generation power P of the mesh model in a space environment, perform thermal radiation calculations to complete the simulation calculation of the equivalent infrared emissivity of complex surface objects;

[0036] Module M3: In an orbital environment, thermal radiation is calculated based on the equivalent infrared emissivity of the object, and the simulation calculation of the equivalent solar absorptivity of complex surface objects is completed.

[0037] Preferably, the module M1 includes:

[0038] Module M1.1: Creates a 3D model of a target object with a complex surface;

[0039] Module M1.2: Performs adaptive mesh generation on the 3D model of the target object;

[0040] Module M1.3: Assigns material and optical properties to the mesh obtained by mesh generation in order to establish a mesh model.

[0041] Preferably, the module M2 includes:

[0042] Module M2.1: Places the mesh model in the spatial environment, given the total heat output power P of the mesh model;

[0043] Module M2.2: Calculates the temperature results of each grid when it reaches equilibrium through thermal radiation calculations;

[0044] Module M2.3: Using Formula 1, the equivalent infrared emissivity of complex surface objects is calculated. Formula 1 is:

[0045]

[0046] In the formula, ε is the infrared emissivity, P is the total heat generation power of the mesh model, A is the total area of ​​the mesh, and T is the total area of ​​the mesh. A This represents the temperature result when one of the grids is in equilibrium, where σ is the blackbody radiation constant.

[0047] The space environment is a cold space environment with no external heat flow.

[0048] Preferably, the module M3 includes:

[0049] Module M3.1: Places the mesh model in the orbit, given a constant solar flux I;

[0050] Module M3.2: Obtains the temperature results of each grid at equilibrium through thermal radiation calculation;

[0051] Module M3.3: Using Formula 2, the equivalent solar absorptivity of complex surface objects is calculated. Formula 2 is:

[0052]

[0053] In the formula, α s I represents the solar absorptivity, and I represents the constant solar flux.

[0054] The orbit is a sun-oriented orbit, and the calculated object's attitude remains unchanged, subject to a constant external heat flow.

[0055] According to the present invention, a computer-readable storage medium storing a computer program is provided, wherein when the computer program is executed by a processor, the steps of the method for equivalent optical properties of complex surface objects based on simulation experiments are implemented.

[0056] An electronic device according to the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the method for equivalence of optical properties of complex surface objects based on simulation experiments.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. This invention does not require a source data sample set; it only needs to know the optical properties of the surface coating and calculate the equilibrium temperature through simulation experiments to obtain the equivalent optical property parameters of the object. In other words, this invention solves the technical problem of the difficulty in obtaining a standardized spatiotemporal physical unified sample dataset for establishing a simulation set by performing equivalent calculations of optical properties through simulation experiments.

[0059] 2. This invention is applicable to any surface, and by using the equivalent optical properties of complex surfaces in subsequent overall thermal simulation calculations, the computational load can be significantly reduced. It eliminates the need for obtaining complex source data sample sets, thus shortening the development cycle and reducing development costs. Here, "complex surface" refers to the surface of a non-parallel flat plate.

[0060] 3. This invention addresses the increasing complexity of single-unit payload structures and is suitable for calculating the optical properties of such surface structures. Furthermore, this invention is low-cost and highly universal, providing a new approach to obtaining the optical properties of complex surface objects, effectively saving experimental costs and shortening the development cycle. Attached Figure Description

[0061] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0062] Figure 1 This is a schematic diagram of the process for equivalence of optical properties of complex surface objects based on simulation experiments.

[0063] Figure 2 This is a schematic diagram of a three-dimensional model of a complex surface object.

[0064] Figure 3 This is a schematic diagram of the mesh model structure of a complex surface object.

[0065] Figure 4 This is a temperature cloud map of a complex surface object in a cold space environment during simulation equilibrium.

[0066] Figure 5 This is a temperature contour map of a complex surface object in a simulated equilibrium state under a solar-oriented orbit. Detailed Implementation

[0067] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0068] like Figure 1 The diagram shown is a flowchart illustrating the equivalent optical properties of complex surface objects based on simulation experiments, according to an embodiment of the present invention. The flowchart includes the following steps:

[0069] S1 establishes a mesh model based on an adaptive mesh generation method;

[0070] S2 calculates thermal radiation by giving a heating power in a cold space environment with no external heat flow, and completes the simulation calculation of the equivalent infrared emissivity of complex surface objects.

[0071] S3 performs thermal radiation calculations under a sun-oriented orbit environment, completing the simulation calculation of the equivalent solar absorptivity of complex surface objects.

[0072] Further, step S1 includes:

[0073] S11 establishes a 3D model of the target object. A 3D model of a complex surface object is shown below. Figure 2 For illustrative purposes only, the complex surface referred to here can be any surface.

[0074] S12 performs adaptive mesh generation on the 3D model of the target object; specifically, it automatically divides the model into a network of appropriate shape and size according to the model size.

[0075] S13 assigns material and optical properties to the mesh, establishing a mesh model. A mesh model of a complex surface object is shown below. Figure 3 Part a is an aluminum alloy with a surface infrared emissivity of 0.4 and a solar absorptivity of 0.2. Part b is a nanofilm with a surface infrared emissivity of 0.9 and a solar absorptivity of 0.25. The mesh material properties and optical properties are the input conditions for calculating the temperature field, and the equivalent optical properties of this surface are further calculated.

[0076] Further, step S2 includes:

[0077] S21 places the mesh model in a spatial environment, given that the total heat generation power P of the mesh model is 50W;

[0078] S22 obtained the equilibrium temperature result through thermal radiation calculations, and the temperature contour map is shown below. Figure 4 As shown;

[0079] Using Formula 1, S23 calculated the equivalent infrared emissivity of the complex surface object to be 0.49. Formula 1 is as follows:

[0080]

[0081] In the formula, ε is the infrared emissivity, P is the total heat generation power of the mesh model, A is the total area of ​​the mesh, and T is the total area of ​​the mesh. A Let be the temperature at equilibrium of one of the grids, and σ be the blackbody radiation constant, which has a value of 5.67 × 10⁻⁶. -8 W / (m 2 ·K 4 ).

[0082] Furthermore, in step S21, the spatial environment is a cold space environment with no external heat flow.

[0083] Further, step S3 includes:

[0084] S31 places the grid model in the orbit, given a constant solar flux I of 1411 W / m². 2 ;

[0085] S32 obtains the equilibrium temperature result through thermal radiation calculations, and the temperature contour map is shown below. Figure 5 As shown;

[0086] Using Formula 2, S33 calculated the equivalent solar absorptivity of the complex surface object to be 0.31. Formula 2 is as follows:

[0087]

[0088] In the formula, α s I represents the solar absorptivity. I represents the constant solar flux.

[0089] Furthermore, in step S31, the orbit is a sun-oriented orbit, and the calculated object attitude remains unchanged to ensure a constant external heat flow.

[0090] The simulation-based method for equivalence of optical properties of complex surface objects provided in this embodiment has the characteristics of low computational load, low cost, and strong universality.

[0091] The present invention also provides an equivalent system of optical properties of complex surface objects based on simulation experiments. The equivalent system of optical properties of complex surface objects based on simulation experiments can be implemented by executing the process steps of the equivalent method of optical properties of complex surface objects based on simulation experiments. That is, those skilled in the art can understand the equivalent method of optical properties of complex surface objects based on simulation experiments as a preferred embodiment of the equivalent system of optical properties of complex surface objects based on simulation experiments.

[0092] According to the present invention, an equivalent system of optical properties of complex surface objects based on simulation experiments is provided, comprising:

[0093] Module M1: Establishes a mesh model based on an adaptive mesh generation method;

[0094] Module M2: Given the total heat generation power P of the mesh model in a space environment, perform thermal radiation calculations to complete the simulation calculation of the equivalent infrared emissivity of complex surface objects;

[0095] Module M3: In an orbital environment, thermal radiation is calculated based on the equivalent infrared emissivity of the object, and the simulation calculation of the equivalent solar absorptivity of complex surface objects is completed.

[0096] Preferably, the module M1 includes:

[0097] Module M1.1: Creates a 3D model of a target object with a complex surface;

[0098] Module M1.2: Performs adaptive mesh generation on the 3D model of the target object;

[0099] Module M1.3: Assigns material and optical properties to the mesh obtained by mesh generation in order to establish a mesh model.

[0100] Preferably, the module M2 includes:

[0101] Module M2.1: Places the mesh model in the spatial environment, given the total heat output power P of the mesh model;

[0102] Module M2.2: Calculates the temperature results of each grid when it reaches equilibrium through thermal radiation calculations;

[0103] Module M2.3: Using Formula 1, the equivalent infrared emissivity of complex surface objects is calculated. Formula 1 is:

[0104]

[0105] In the formula, ε is the infrared emissivity, P is the total heat generation power of the mesh model, A is the total area of ​​the mesh, and T is the total area of ​​the mesh. A This represents the temperature result when one of the grids is in equilibrium, where σ is the blackbody radiation constant.

[0106] The space environment is a cold space environment with no external heat flow.

[0107] Preferably, the module M3 includes:

[0108] Module M3.1: Places the mesh model in the orbit, given a constant solar flux I;

[0109] Module M3.2: Obtains the temperature results of each grid at equilibrium through thermal radiation calculation;

[0110] Module M3.3: Using Formula 2, the equivalent solar absorptivity of complex surface objects is calculated. Formula 2 is:

[0111]

[0112] In the formula, α s I represents the solar absorptivity, and I represents the constant solar flux.

[0113] The orbit is a sun-oriented orbit, and the calculated object's attitude remains unchanged, subject to a constant external heat flow.

[0114] According to the present invention, a computer-readable storage medium storing a computer program is provided, wherein when the computer program is executed by a processor, the steps of the method for equivalent optical properties of complex surface objects based on simulation experiments are implemented.

[0115] An electronic device according to the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the method for equivalence of optical properties of complex surface objects based on simulation experiments.

[0116] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0117] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A method for equivalence of optical properties of complex surface objects based on simulation experiments, characterized in that, include: Step S1: Establish a mesh model based on the adaptive mesh generation method; Step S2: Given the total heat generation power of the mesh model in the spatial environment. Thermal radiation calculations were performed to complete the simulation calculation of the equivalent infrared emissivity of complex surface objects; Step S2 includes: Step S2.1: Place the mesh model in the spatial environment, given the total heat output of the mesh model. ; Step S2.2: Obtain the temperature results of each grid at equilibrium through thermal radiation calculation; Step S2.3: Using Formula 1, calculate the equivalent infrared emissivity of the complex surface object. Formula 1 is: In the formula, Infrared emissivity, The total heat generation power of the mesh model, A The total area of ​​the grid. T A This is the temperature result when one of the grids is in equilibrium. The blackbody radiation constant; The space environment is a cold space environment with no external heat flow; Step S3: In the orbital environment, thermal radiation is calculated based on the equivalent infrared emissivity of the object to complete the simulation calculation of the equivalent solar absorptivity of complex surface objects. Step S3 includes: Step S3.1: Place the mesh model in the orbit, given a constant solar flux. I ; Step S3.2: Obtain the temperature results of each grid at equilibrium through thermal radiation calculation; Step S3.3: Using Formula 2, calculate the equivalent solar absorptivity of the complex surface object. Formula 2 is: In the formula, For solar absorptivity, I For constant solar flux; The orbit is a sun-oriented orbit, and the calculated object's attitude remains unchanged, subject to a constant external heat flow.

2. The method for equivalence of optical properties of complex surface objects based on simulation experiments according to claim 1, characterized in that, Step S1 includes: Step S1.1: Create a 3D model of the target object with a complex surface; Step S1.2: Perform adaptive mesh generation on the 3D model of the target object; Step S1.3: Assign material and optical properties to the mesh obtained by mesh generation to establish a mesh model.

3. An equivalent system of optical properties of complex surface objects based on simulation experiments, characterized in that, include: Module M1: Establishes a mesh model based on an adaptive mesh generation method; Module M2: Given the total heat generation power of the mesh model in a spatial environment. Thermal radiation calculations were performed to complete the simulation calculation of the equivalent infrared emissivity of complex surface objects; The module M2 includes: Module M2.1: Places the mesh model in the spatial environment, given the total heat output of the mesh model. ; Module M2.2: Calculates the temperature results of each grid when it reaches equilibrium through thermal radiation calculations; Module M2.3: Using Formula 1, the equivalent infrared emissivity of complex surface objects is calculated. Formula 1 is: In the formula, Infrared emissivity, The total heat generation power of the mesh model, A The total area of ​​the grid. T A This is the temperature result when one of the grids is in equilibrium. The blackbody radiation constant; The space environment is a cold space environment with no external heat flow; Module M3: In an orbital environment, based on the object's equivalent infrared emissivity, thermal radiation calculations are performed to complete the simulation calculation of the equivalent solar absorptivity of complex surface objects. Module M3 includes: Module M3.1: Places the mesh model in the orbit, given a constant solar flux. I ; Module M3.2: Obtains the temperature results of each grid at equilibrium through thermal radiation calculation; Module M3.3: Using Formula 2, the equivalent solar absorptivity of complex surface objects is calculated. Formula 2 is: In the formula, For solar absorptivity, I For constant solar flux; The orbit is a sun-oriented orbit, and the calculated object's attitude remains unchanged, subject to a constant external heat flow.

4. The equivalent system of optical properties of complex surface objects based on simulation experiments according to claim 3, characterized in that, The module M1 includes: Module M1.1: Creates a 3D model of a target object with a complex surface; Module M1.2: Performs adaptive mesh generation on the 3D model of the target object; Module M1.3: Assigns material and optical properties to the mesh obtained by mesh generation in order to establish a mesh model.

5. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for equivalent optical properties of complex surface objects based on simulation experiments, as described in any one of claims 1 to 2.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for equivalent optical properties of complex surface objects based on simulation experiments, as described in any one of claims 1 to 2.

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