CN115809515B - Multi-layer heat insulation structure optimization design method for high-speed aircraft - Google Patents
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- 238000009413 insulation Methods 0.000 title claims abstract description 74
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 239000000463 material Substances 0.000 claims abstract description 113
- 239000012774 insulation material Substances 0.000 claims abstract description 7
- 239000010410 layer Substances 0.000 claims description 115
- 239000011229 interlayer Substances 0.000 claims description 10
- 230000002068 genetic effect Effects 0.000 claims description 3
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- 239000002245 particle Substances 0.000 claims description 3
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- 239000002131 composite material Substances 0.000 description 4
- 239000004966 Carbon aerogel Substances 0.000 description 3
- 238000000342 Monte Carlo simulation Methods 0.000 description 3
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- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 2
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- 229910052906 cristobalite Inorganic materials 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 239000000377 silicon dioxide Substances 0.000 description 1
- 235000012239 silicon dioxide Nutrition 0.000 description 1
- 229910052682 stishovite Inorganic materials 0.000 description 1
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Abstract
The invention discloses an optimal design method of a multi-layer heat insulation structure of a high-speed aircraft, which relates to the technical field of heat insulation, wherein the heat insulation structure of the high-speed aircraft is divided into a plurality of layers of materials, and design variables, namely a selectable material database and the geometric dimensions of the materials of each layer, are determined; determining the heat insulation effective mass ratio of the optimized objective function, and setting constraint conditions; integrating the optimization objective function and the constraint condition, and obtaining an optimization model according to the design variable; and solving an optimization model by adopting an intelligent optimization algorithm to obtain optimized heat insulation material selection and geometric dimensions of each layer of heat insulation material. According to the invention, the material selection, the geometric dimension and the material thermal conductivity temperature change characteristics are introduced into an optimal design model, so that the optimal material selection and material geometric dimension are obtained, and the requirements of practical application are met.
Description
Technical Field
The invention relates to the technical field of heat insulation, in particular to an optimal design method of a multilayer heat insulation structure of a high-speed aircraft.
Background
The heat insulation structure is a key factor for protecting the high-speed aircraft from working safely and completing various tasks, and the effective heat insulation structure can meet the basic requirements of heat prevention and heat insulation of the high-speed aircraft, so that the high-speed aircraft is prevented from being damaged by extreme aerodynamic heat environment. With the development and upgrade of the national high-speed aircraft technology, the traditional heat insulation structure is difficult to meet the requirements of low cost, light weight, integrated heat insulation and prevention, and the like, so the design of the multilayer heat insulation structure is widely focused by various countries. The schematic diagram of the multi-layer heat insulation structure of the high-speed aircraft is shown in fig. 1, the extremely high temperature environment born by the high-speed aircraft in flight heats the high temperature resistant layer of the multi-layer heat insulation structure in a forced convection heat exchange mode, and meanwhile, the burning resistant layer radiates heat to the external space to remove part of heat. The main heat in the rest heat is blocked by the heat insulating layer, and a small part of heat is absorbed and stored by the self material of the burning-resistant layer and is transferred to the base layer, so that the base layer structure and the internal air perform natural convection heat exchange. The heat insulation performance of the multi-layer heat insulation structure mainly depends on the material parameters of the heat insulation layer and the thickness dimension of each layer, and the equivalent mechanical property of the whole structure is mainly determined by the material parameters of the base layer, so that the base layer is sometimes called a bearing layer according to the function of the base layer.
In the multi-layer heat insulation structure of the high-speed aircraft, materials of each layer are often selected from a plurality of materials, at present, most of optimal design of the heat insulation structure of the high-speed aircraft is considered that the heat conductivity of the materials is constant, the heat conductivity of the materials is sensitive to temperature, the heat transfer performance is severe along with the change of temperature, the heat conductivity of the heat insulation material of the existing aircraft is not considered along with the change of temperature, the temperature change characteristic of the heat conductivity of the heat insulation material has an influence on the heat insulation effect, and the multi-layer heat insulation structure of the high-speed aircraft, which is designed without considering the influence of the temperature on the heat conductivity, is often greatly different from the actual heat insulation performance; in addition, in the process of optimizing the design of the heat insulation structure, the current material selection type is determined, the condition of material preference is not considered, and the material selection and the dimensional variable are not simultaneously included in the design variable of the optimization of the heat insulation structure.
The existing optimal design method can not simultaneously solve the problems of material optimization and structure optimization, and has larger limitation.
Disclosure of Invention
The invention aims at: the multi-layer heat insulation structure optimization design method of the high-speed aircraft aims at the multi-layer heat insulation structure optimization design of the high-speed aircraft, introduces material selection design variables and material heat conductivity temperature change characteristics into an optimization design model, and solves the problem that the existing multi-layer heat insulation structure optimization design method of the high-speed aircraft does not consider material optimization and material heat conductivity temperature change influences.
The technical scheme adopted by the invention is as follows:
the invention relates to a method for optimally designing a multi-layer heat insulation structure of a high-speed aircraft, wherein the heat insulation structure of the high-speed aircraft is divided into multi-layer materials,
determining design variables of the heat insulation structure, namely a selectable material database and the geometric dimensions of each layer of material;
determining the heat insulation effective mass ratio of the optimized objective function, and setting constraint conditions;
integrating the optimization objective function and the constraint condition, and obtaining an optimization model according to the design variable;
and solving an optimization model by adopting an intelligent optimization algorithm to obtain optimized design variables, namely optimized material selection and geometric dimensions of each layer of heat insulation material.
Further, the multi-layer material specifically comprises an outer layer material, an intermediate layer material and an inner layer material, wherein the optional material data are respectively、/>Andthe database of selectable materials is +.>;
The geometric dimensions of the three layers of materials are respectively the thickness of the outer layer of materialThickness of the interlayer Material->Thickness of inner layer material->。
Further, the optimization objective function heat insulation effective mass ratio, namely the mass ratio of heat insulation efficiency and heat insulation structure, has the formula:
the heat insulation efficiency is the effective working time lengthThe heat insulation rate at the time is:
the mass of the heat insulation structure is as follows:
wherein ,is the density of the outer layer material->For the density of the interlayer material>In order to achieve the density of the inner layer material,
according to the concept of the maximum heat insulation effective mass ratio, the optimized objective function is obtained as follows:
further, the constraint condition specifically includes:
the inner layer of the heat insulation structure has an inner surface wall temperature facing the inner cavityTime temperature->Less than or equal to->;
The thickness of each layer of material is as follows、/>、/>, wherein ,、/>、/>upper limit of thickness dimension for each layer of material, +.>、/>、/>A lower limit of the thickness dimension of each layer of material;
wherein ,is the minimum allowed modulus body, +.>Modulus of the outer layer material>Modulus of the interlayer material, +.>Modulus for the inner layer material;
Further, the inner surface wall temperature of the inner layer of the heat insulation structure facing the inner cavity is as followsTime temperature->It is necessary to solve for the heat transfer equation,
the heat transfer equation:
the boundary conditions are:
wherein ,for material thermal conductivity, +.>Is specific heat capacity->For temperature, < >>For time (I)>For space coordinates>Is the heat conductivity of the inner layer material->Is the heat exchange coefficient between the inner layer structure and the air>For the thermal conductivity of the outer layer material->Is the heat exchange coefficient between the outer layer structure and the air, +.>Is Stefin-Boltzmann constant, < ->For the internal air temperature>Is the temperature of the outer wall surface of the outer layer->Is the outside air temperature or the heat source temperature.
Further, the optimization objective function and the constraint condition are integrated to obtain an optimization design mathematical model:
the design variables are defined as:
the optimization model is defined as:
furthermore, the design variable is a mixed type of coexistence of discrete variable and continuous variable, is a mixed design variable type optimization problem, and adopts an intelligent optimization algorithm to carry out optimization model solution to obtain an optimized design variable, namely a material selection variable M and the geometric dimensions of three layers of materials、/> and />The intelligent optimization algorithm is a genetic algorithm or a particle swarm algorithm.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
the invention discloses a multilayer heat insulation structure optimization design method of a high-speed aircraft, which aims at the multilayer heat insulation structure optimization design of the high-speed aircraft, introduces material selection, geometric dimension and material heat conductivity temperature change characteristics into an optimization design model, solves the problem that the existing multilayer heat insulation structure optimization design method of the high-speed aircraft does not consider the influence of material optimization and material heat conductivity temperature change, obtains optimized material selection and material geometric dimension, and meets the requirements of practical application.
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For a clearer description of the technical solutions of embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and should not be considered limiting in scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art, wherein:
FIG. 1 is a schematic view of a multi-layer insulation structure of a high speed aircraft;
FIG. 2 is a flow chart of an optimization method of the present invention;
FIG. 3 is a result of optimizing a solution using the Monte Carlo method;
fig. 4 is a result of optimizing a solution using PSO.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
It should be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 2, the present invention is a method for optimizing a multi-layered heat insulation structure of a high-speed aircraft, the heat insulation structure of the high-speed aircraft is divided into a plurality of layers of materials,
determining design variables of the heat insulation structure, namely a selectable material database and the geometric dimensions of each layer of material;
specifically, as shown in fig. 1, the multi-layer material specifically includes an outer layer material, an intermediate layer material, and an inner layer material, and the optional material data are respectively、/>Andthe database of selectable materials is +.>;
The geometric dimensions of the three layers of materials are respectively the thickness of the outer layer of materialThickness of the interlayer Material->Thickness of inner layer material->。
Determining the heat insulation effective mass ratio of the optimized objective function, and setting constraint conditions;
specifically, the optimization objective function heat insulation effective mass ratio, namely the mass ratio of heat insulation efficiency and heat insulation structure, has the formula:
the heat insulation efficiency is the effective working time lengthThe heat insulation rate at the time is:
the mass of the heat insulation structure is as follows:
wherein ,is the density of the outer layer material->For the density of the interlayer material>In order to achieve the density of the inner layer material,
according to the concept of the maximum heat insulation effective mass ratio, the optimized objective function is obtained as follows:
the optimization objective function is the ratio of quality to efficiency, so the smaller the optimization objective function, the better the optimization result.
Specifically, the constraint condition specifically includes:
the inner layer of the heat insulation structure has an inner surface wall temperature facing the inner cavityTime temperature->Less than or equal to->;
The thickness of each layer of material is as follows、/>、/>, wherein ,、/>、/>upper limit of thickness dimension for each layer of material, +.>、/>、/>A lower limit of the thickness dimension of each layer of material;
wherein ,is the minimum allowed modulus body, +.>Modulus of the outer layer material>Modulus of the interlayer material, +.>Modulus for the inner layer material;
Specifically, the inner surface wall temperature of the inner layer of the heat insulation structure facing the inner cavity is as followsTime temperatureIt is necessary to solve for the heat transfer equation,
the heat transfer equation:
the boundary conditions are:
wherein ,for material thermal conductivity, +.>Is specific heat capacity->For temperature, < >>For time (I)>For space coordinates>Is the heat conductivity of the inner layer material->Is the heat exchange coefficient between the inner layer structure and the air>For the thermal conductivity of the outer layer material->Is the heat exchange coefficient between the outer layer structure and the air, +.>Is Stefin-Boltzmann constant, < ->As the internal air temperature (background temperature in figure 2),is the temperature of the outer wall surface of the outer layer->Is the outside air temperature or the heat source temperature.
The partial differential equation (heat transfer equation) is solved by adopting a finite difference implicit format, the space region sequence is represented by i, and the time sequence is represented by j. The spatial grid line and the temporal grid line (i, j) represent a node of the time-space, and the state at the moment j at the spatial position i, the differential equation is converted into a differential equation by replacing the differential quotient with the finite difference:
the following two formulas are known:
the differential with respect to partial differentiation over time is:
bringing the above results into a heat transfer differential equation, a discrete form of iterative recursion format is obtained:
recursively 1 in time, i.e. j changes to j+1, there are
Then there are:
the above formula is a finite difference iteration recurrence formula.
Integrating the optimization objective function and the constraint condition, and obtaining an optimization model according to the design variable;
specifically, the optimization objective function and the constraint condition are integrated to obtain an optimization design mathematical model:
the design variables are defined as:
the optimization model is defined as:
and solving an optimization model by adopting an intelligent optimization algorithm to obtain optimized design variables, namely optimized material selection and geometric dimensions of each layer of heat insulation material.
Specifically, the design variable is a mixed type of coexistence of discrete variable and continuous variable, is a mixed design variable type optimization problem, and adopts an intelligent optimization algorithm to carry out optimization model solution to obtain an optimized design variable, namely a material selection variable M and the geometric dimensions of three layers of materials、/> and />The intelligent optimization algorithm is a genetic algorithm or a particle swarm algorithm, but is not limited to such an optimization algorithm.
Description of the preferred embodiments
And (3) verifying and analyzing the optimization method by adopting an example. The values of parameters in the optimization model are as follows:=0.5mm、/>=3mm、/>=5mm、/>=50mm、/>=2mm、/>=5mm,/>=10Gpa,/>=1200℃,/>=20℃,/>heat exchange coefficient of outer layer structure and air =100℃>=230W/(m2· ℃) inner layer structure and air heat exchange coefficient +.>=10 W/(m2·℃),/>=300s。
The outer layer material dataset is as in table 1:
TABLE 1 ablation resistant layer (outer layer) Material parameters (outer layer)
Material name | Density (kg, m-3) | Specific heat capacity (J. Kg. K) -1) | Thermal conductivity (W.m.K) -1) | Young's modulus (GPa) |
C/C composite material | 1600 | 713 | 1.6 | 22.32 |
C/SiC composite material | 2100 | 1420 | 5 | 49.8 |
ZrB 2-based composite material | 6300 | 430 | 53 | 490 |
Inner material dataset:
TABLE 2 Material parameters of force bearing layer (inner layer)
Material name | Density (kg, m-3) | Specific heat capacity (J. Kg. K) -1) | Thermal conductivity (W.m.K) -1) | Young's modulus (GPa) |
Aluminum alloy 7075 | 2800 | 962 | 129.4 | 71 |
GH4099 | 8470 | 624 | 18.9 | 175 |
Titanium alloy TC4 | 4440 | 659 | 9.13 | 115.85 |
Interlayer material dataset:
TABLE 3 parameters of insulating layer (middle layer) materials
Material name | Density (kg, m-3) | Specific heat capacity (J. Kg. K) -1) | Thermal conductivity (W.m.K) -1) | Young's modulus (GPa) |
Carbon aerogel (carbon aerogels) | 811 | 870 | 3.521505E-7T2+7.847416E-4T+1.104313 | 2.84 |
SiO2 aerogel | 140 | 1050 | 1.135885E-10T3-2.256084E-8T2+1.640566E-5T+1.481429E-2 | 0.010 |
SiC aerogel | 9.7 | 579 | 5.269242E-11T3-2.221319E-8T2+1.622211E-5T+2.377993E-2 | 0.013 |
And optimizing and solving by adopting a Monte Carlo method to obtain 200 feasible solution optimizing results, wherein the optimizing results are shown in figure 3.
PSO optimization is adopted, the population number is 50, the iteration number is 200, and the optimization result is shown in FIG. 4.
The PSO optimization method has better effect than the Monte Carlo method, and the PSO optimization method is adopted in the invention.
According to the PSO optimization result, the optimal value of the optimization objective function is 10.9167, and the corresponding design variables are: x= (2, 1,5.4070e-04,0.0120,0.0020), namely, the outer layer material is C/SiC composite material, the middle layer material is carbon aerogel, the inner layer material is GH4099, the outer layer thickness is 5.4070e-01mm, the middle layer thickness is 12mm, and the inner layer thickness is 2mm.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that are not creatively contemplated by those skilled in the art within the technical scope of the present invention should be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope defined by the claims.
Claims (3)
1. A method for optimizing the design of a multi-layer heat insulation structure of a high-speed aircraft is characterized in that the heat insulation structure of the high-speed aircraft is divided into a plurality of layers of materials,
determining design variables of the heat insulation structure, namely a selectable material database and the geometric dimensions of each layer of material;
the multi-layer material comprises an outer layer material, an intermediate layer material and an inner layer material, wherein the optional material data are respectively、/>Andthe database of selectable materials is +.>;
The geometric dimensions of the three layers of materials are respectively the thickness of the outer layer of materialThickness of the interlayer Material->Thickness of inner layer material->;
Determining the heat insulation effective mass ratio of the optimized objective function, and setting constraint conditions;
the optimized objective function heat insulation effective mass ratio, namely the mass ratio of heat insulation efficiency and heat insulation structure, has the formula:
the heat insulation efficiency is the effective working time lengthThe heat insulation rate at the time is:
the mass of the heat insulation structure is as follows:
wherein ,is the density of the outer layer material->For the density of the interlayer material>In order to achieve the density of the inner layer material,
according to the concept of the maximum heat insulation effective mass ratio, the optimized objective function is obtained as follows:
the constraint conditions are specifically as follows:
the inner layer of the heat insulation structure has an inner surface wall temperature facing the inner cavityTime temperature->Less than or equal to;
The thickness of each layer of material is as follows、/>、/>, wherein ,/>、、/>Upper limit of thickness dimension for each layer of material, +.>、/>、/>Thickness dimension of each layer of materialA lower limit;
wherein ,is the minimum allowed modulus body, +.>Modulus of the outer layer material>Modulus of the interlayer material, +.>Modulus for the inner layer material; />
The inner surface wall temperature of the inner layer of the heat insulation structure facing one side of the inner cavity is as followsTime temperature->It is necessary to solve for the heat transfer equation,
the heat transfer equation:
the boundary conditions are:
wherein ,for material thermal conductivity, +.>Is specific heat capacity->For temperature, < >>For time (I)>For space coordinates>Is the heat conductivity of the inner layer material->Is the heat exchange coefficient between the inner layer structure and the air>For the thermal conductivity of the outer layer material->Is the heat exchange coefficient between the outer layer structure and the air, +.>Is Stefin-Boltzmann constant, < ->For the internal air temperature>Is the temperature of the outer wall surface of the outer layer->Is the outside air temperature or the heat source temperature;
integrating the optimization objective function and the constraint condition, and obtaining an optimization model according to the design variable;
and solving an optimization model by adopting an intelligent optimization algorithm to obtain optimized design variables, namely optimized material selection and geometric dimensions of each layer of heat insulation material.
2. The method for optimizing the design of the multi-layer heat insulation structure of the high-speed aircraft according to claim 1, wherein the optimization objective function and the constraint condition are integrated to obtain an optimized design mathematical model:
the design variables are defined as:
the optimization model is defined as:
3. the method for optimizing the design of the multi-layer heat insulation structure of the high-speed aircraft according to claim 2, wherein the method comprises the following steps: the design variable is a mixed type of discrete variable and continuous variable, is a mixed design variable type optimization problem, and adopts an intelligent optimization algorithm to carry out optimization model solution to obtain an optimized design variable, namely a materialSelecting the variable M and the geometry of the three-layer material、/> and />The intelligent optimization algorithm is a genetic algorithm or a particle swarm algorithm. />
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