A comprehensive average calculation method for thermal conductivity optimization design of graphite insulation materials

Abstract

The present invention provides a comprehensive average calculation method for the optimization design of thermal conductivity of graphite thermal insulation materials. The method first determines the volume ratio and basic size of each material in the graphene composite thermal insulation board; then establishes parallel-series and series-parallel thermal conductivity calculation models respectively, calculates the thermal resistance of the subunits in the two models, the thermal resistance of the matrix material in the subunits, and the thermal resistance of the included materials in the subunits; subsequently establishes series and parallel models of the matrix material and the included materials in the subunits respectively, calculates the equivalent thermal conductivity of the subunits in the two models; then calculates the equivalent thermal conductivity of the materials in the two models according to the parallel relationship between the subunits of the parallel-series model and the series relationship between the subunits of the series-parallel model; finally, the two equivalent thermal conductivities of the materials are averaged to obtain the comprehensive average equivalent thermal conductivity of the graphite thermal insulation material. Compared with the traditional calculation method, the equivalent thermal conductivity calculation result of the method of the present invention is closer to the finite element analysis result, and the calculation accuracy is higher.

Description

Technical Field

[0001] The present invention relates to the field of new building energy-saving materials, and in particular to a comprehensive average calculation method for optimizing the design of thermal conductivity of a graphite thermal insulation material. Background Art

[0002] In recent years, global energy consumption has increased significantly, leading to a series of issues such as the energy crisis and global warming, and gradually drawing attention to energy efficiency. The building sector accounts for approximately 20% to 60% of total energy consumption worldwide, making it one of the largest contributors to energy consumption. With the continuous advancement of urbanization, heating and cooling energy consumption in major urban buildings accounts for over 40% of total energy consumption. Insulation materials play a vital role in building energy conservation. Insulation materials with excellent thermal conductivity and insulation properties can significantly improve building energy efficiency, ensuring indoor comfort while reducing reliance on heating and cooling systems, and reducing building energy consumption.

[0003] Thermal conductivity and fire resistance are two important parameters of thermal insulation materials. The lower the thermal conductivity of a material, the more effective it is as a thermal insulation material. Currently, synthetic materials such as glass fiber, mineral wool, and plastic are relatively widely used as thermal insulation materials. However, it is difficult for these materials to meet the dual high requirements of thermal conductivity and fire resistance as thermal insulation materials. As the construction industry's requirements for thermal insulation and energy conservation gradually increase, the requirements for thermal conductivity and fire resistance of thermal insulation materials are becoming increasingly higher. Research on thermal conductive materials at home and abroad mainly focuses on two major categories: organic materials and inorganic materials. The research methods include material theory analysis, sample testing, and numerical simulation. As a new type of material, graphene composites have the advantages of low thermal conductivity and good fire resistance. As a building envelope structure, they can improve the energy saving rate and fire protection level of buildings. While reducing density and thermal conductivity, graphene composite insulation boards do not reduce their combustion performance and mechanical properties. Graphene composite insulation boards are gradually gaining attention in the building insulation field due to their advantages in thermal conductivity and fire resistance. However, theoretical, experimental, and numerical simulation research on their thermal conductivity is relatively scarce, and traditional parallel and series prediction models are unable to accurately predict the thermal conductivity of graphene composite insulation boards. Therefore, to address the problem of low theoretical prediction accuracy of the thermal conductivity of graphene composite insulation boards, it is particularly necessary to establish a reasonable thermal conductivity calculation model and accurately predict the thermal conductivity of insulation materials. This will provide a basis for the optimized design of insulation materials. Summary of the Invention

[0004] The purpose of the present invention is to solve the problem of low theoretical prediction accuracy of the thermal conductivity of existing graphene composite insulation boards, and to provide a comprehensive average calculation method for the optimization design of the thermal conductivity of graphite insulation materials. By establishing a reasonable thermal conductivity calculation model, the thermal conductivity of the insulation material can be accurately predicted, providing a basis for the optimization design of the insulation material.

[0005] In order to achieve the above objectives, the present invention provides the following technical solutions.

[0006] A comprehensive average calculation method for optimizing the thermal conductivity of graphite insulation materials comprises the following steps:

[0007] S1. According to the optimized design parameters of the graphene composite insulation board, the volume proportions of the four materials of graphite polystyrene particles, cement, glass microsphere particles and silica fume in the graphene composite insulation board are determined to be Ф1, Ф2, Ф3 and Ф4 respectively, and the basic dimensions a, b and c are determined according to the volume proportions;

[0008] The calculation relationship between the volume ratio Φ and the basic dimensions a, b and c is:

[0009] a=3Φ2, b=3Φ3, c=3Φ4;

[0010] Wherein, a, b, and c represent the heat transfer lengths of the inclusion materials, respectively;

[0011] S2. Based on the material composition characteristics of the graphene composite insulation board, a parallel-series thermal conductivity calculation model of the graphene composite insulation board is established, and the thermal resistance of the heat conducting subunits A, B and C in the model is calculated. and Thermal resistance of graphene polystyrene particles, the matrix material in the thermal conductor unit and As well as the thermal resistance of the mixed materials cement, glass beads and silica fume in the thermal conductive subunit and

[0012] S3. Based on the material composition characteristics of the graphene composite insulation board, a series-parallel heat conduction calculation model of the graphene composite insulation board is established, and the thermal resistance of the heat conduction subunits A, B and C in the model is calculated. and Thermal resistance of the base material in the thermal conductor unit and and the thermal resistance of the inclusion material in the thermal conductive subunit and

[0013] S4. According to the law of minimum thermal resistance and the law of equal specific equivalent thermal conductivity, a series equivalent thermal conductivity calculation model of the matrix material and inclusion material in the parallel-series model thermal conductivity subunits A, B and C in S2 is established, and the equivalent thermal conductivity of the thermal conductivity subunits A, B and C in the model is calculated. and

[0014] The expression of the series equivalent heat conduction calculation model is:

[0015]

[0016]

[0017]

[0018] S5. According to the law of minimum thermal resistance and the law of equal specific equivalent thermal conductivity, establish the parallel equivalent thermal conductivity calculation model of the matrix material and inclusion material in the series-parallel model thermal conductivity subunits A, B and C in S3, and calculate the equivalent thermal conductivity of the thermal conductivity subunits A, B and C in the model. and

[0019] The expression of the parallel equivalent heat conduction calculation model is:

[0020]

[0021]

[0022]

[0023] S6. Based on the parallel relationship between the heat conducting subunits A, B and C in the parallel-series heat conduction calculation model obtained in step S2, an overall parallel heat conduction calculation model is established, and the equivalent thermal conductivity of the graphene composite thermal insulation material in the overall parallel heat conduction calculation model is calculated.

[0024] The expression of the overall parallel heat conduction calculation model is:

[0025]

[0026] S7, according to the series relationship between the heat conducting subunits A, B and C in the series-parallel heat conduction calculation model obtained in step S3, establish an overall series heat conduction calculation model, and calculate the equivalent thermal conductivity of the graphene composite insulation material in the overall series heat conduction calculation model

[0027] The overall series heat conduction calculation model is expressed as follows:

[0028]

[0029] S8. Based on the continuity and uniformity assumptions of the graphene composite thermal insulation material, the true value of the thermal conductivity should be between the thermal conductivity calculation results of the parallel-series thermal conductivity calculation model and the series-parallel thermal conductivity calculation model, and then the comprehensive average equivalent thermal conductivity λ of the graphene composite thermal insulation material is obtained. E .

[0030] Specifically, in step S2, the thermal resistance of the heat conducting subunits A, B and C in the calculation model is and The calculation formula is:

[0031]

[0032]

[0033]

[0034] The thermal resistance of the base material in the heat conducting subunits A, B and C and The calculation formula is:

[0035]

[0036]

[0037]

[0038] Where λ1 is the thermal conductivity of the matrix material in the thermal conductive subunits A, B, and C;

[0039] The thermal resistance of the inclusion materials in the heat conducting subunits A, B and C and The calculation formula is:

[0040]

[0041]

[0042]

[0043] Where λ2, λ3, and λ4 are the thermal conductivities of the inclusion materials in the thermal conductive subunits A, B, and C, respectively.

[0044] Specifically, in step S3, the thermal resistance of the heat conducting subunits A, B and C in the model is calculated. and The calculation formula is:

[0045]

[0046]

[0047]

[0048] The thermal resistance of the base material in the heat conducting subunits A, B and C and The calculation formula is:

[0049]

[0050]

[0051]

[0052] The thermal resistance of the inclusion materials in the heat conducting subunits A, B and C and The calculation formula is:

[0053]

[0054]

[0055]

[0056] Specifically, in step S4, the equivalent thermal conductivity of the heat conducting subunits A, B and C in the calculation model is and The calculation formula is:

[0057]

[0058]

[0059]

[0060] Specifically, in step S5, the equivalent thermal conductivity of the heat conducting subunits A, B and C in the calculation model is and The calculation formula is:

[0061]

[0062]

[0063]

[0064] Specifically, in step S6, the equivalent thermal conductivity of the graphene composite thermal insulation material in the overall parallel thermal conductivity calculation model is The calculation formula is:

[0065]

[0066] In the above formula, the expressions of each sub-coefficient are:

[0067]

[0068]

[0069]

[0070]

[0071]

[0072]

[0073]

[0074]

[0075]

[0076]

[0077] Specifically, in step S7, the equivalent thermal conductivity of the graphene composite thermal insulation material in the overall series thermal conductivity calculation model is The calculation formula is:

[0078]

[0079] In the above formula, the expressions of each sub-coefficient are:

[0080]

[0081]

[0082]

[0083]

[0084]

[0085]

[0086]

[0087]

[0088]

[0089]

[0090]

[0091]

[0092]

[0093] Specifically, in step S8, the comprehensive average equivalent thermal conductivity λ of the graphene composite thermal insulation material is E The calculation formula is:

[0094]

[0095] Compared with the prior art, the method of the present invention has the following advantages:

[0096] The method of the present invention establishes new parallel-series and series-parallel thermal conductivity calculation models, and forms a comprehensive average thermal conductivity calculation model based on the two models to obtain the comprehensive average equivalent thermal conductivity coefficient of the graphene composite insulation material. Compared with the traditional single parallel and series prediction models, the equivalent thermal conductivity coefficient calculation results obtained by the method of the present invention are closer to the finite element analysis and experimental results, and the calculation accuracy is higher. The accurate prediction of the thermal conductivity model will provide a basis for the optimal design of the graphene composite insulation board. BRIEF DESCRIPTION OF THE DRAWINGS

[0097] Figure 1 This is a flow chart of a comprehensive average calculation method for optimizing the thermal conductivity of a graphite insulation material according to the present invention;

[0098] Figure 2 This is a schematic diagram of the parallel-series model of the graphene composite insulation board of the present invention;

[0099] Figure 3 This is a schematic diagram of the series-parallel model of the graphene composite insulation board of the present invention;

[0100] Figure 4 The theoretical model of the parallel-series heat conducting unit cell of the present invention;

[0101] Figure 5 The basic dimensions of the parallel-series heat conducting unit cells of the present invention;

[0102] Figure 6 The theoretical model of the series-parallel heat conduction unit cell of the present invention;

[0103] Figure 7 The basic dimensions of the series-parallel heat conducting unit cells of the present invention;

[0104] Figure 8 This is a comparison of the thermal conductivity calculation model, finite element and test results of the present invention. DETAILED DESCRIPTION

[0105] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0106] Example: See Figures 1-8 .

[0107] The present invention provides a comprehensive average calculation method for the optimization design of thermal conductivity of graphite insulation materials. Based on the law of minimum thermal resistance and the law of equality of specific equivalent thermal conductivity, parallel-series and series-parallel thermal conductivity calculation models of graphene composite insulation boards are established to calculate the equivalent thermal conductivity of the insulation boards. The method specifically includes the following steps:

[0108] S1. According to the composition of the four material components in the graphene composite insulation board and the requirements of the optimized design, the volume proportions of the four materials of the graphene composite insulation board, graphite polystyrene particles, cement, glass beads and silica fume, are determined as Ф1, Ф2, Ф3 and Ф4, and the basic dimensions a, b and c in the thermal conductivity theory calculation model are further determined. The dimensions are as follows: Figure 5 and Figure 7 As shown, the heat conduction model is a square with side length L=1. Figure 5 This is the basic dimension diagram of the parallel-series heat conduction calculation model. The model is evenly divided into three parallel heat conduction subunits A, B, and C. The thickness of the three heat conduction subunits is δ = 1 / 3. The matrix material and inclusion materials in each heat conduction subunit are combined in series. The inclusion materials cement D, glass microsphere particles E, and silica fume F are rectangular. The heat transfer lengths are a, b, and c, respectively. The heat conduction surface is a rectangle, and the heat conduction area is δ × L. Figure 7 This is the basic dimension diagram of the series-parallel heat conduction calculation model. The model is evenly divided into three series-connected heat conduction sub-units A, B, and C. The thickness of the three heat conduction sub-units is δ = 1 / 3. The matrix material and inclusion materials in each heat conduction sub-unit are combined in parallel. The inclusion materials cement D, glass bead particles E, and silica fume F are rectangular. The heat transfer length is δ, the heat conduction surface is rectangular, and the heat conduction areas are a×L, b×L, and c×L, respectively.

[0109] The calculation relationship between the volume ratio Φ and the basic dimensions a, b and c is:

[0110] a=3Φ2, b=3Φ3, c=3Φ4 (1)

[0111] S2, such as Figure 2 As shown in the figure, combined with the material composition characteristics of the graphene composite insulation board, it is assumed that the graphene composite insulation board is composed of a large number of parallel-series heat conduction calculation units. Taking one of the heat conduction units, based on the Fourier law of heat conduction, the parallel-series heat conduction calculation model of the graphene composite insulation board is established, as shown in the figure. Figure 4 As shown, calculate the thermal resistance of thermal conductive subunits A, B and C and Thermal resistance of the base material in the thermal conductor unit and and the thermal resistance of the inclusion material in the thermal conductive subunit and

[0112] The calculation formula of the thermal resistance of the graphene composite thermal insulation material is:

[0113]

[0114] Where Q i T is the power of heat source transferred from the inside and outside of the i-th material in the graphite composite insulation board, in W; i is the temperature difference between the inner and outer surfaces of the i-th material, in K; R i is the thermal resistance of the i-th material, in K / W; δ i is the thickness of the i-th material in the heat transfer direction, in m; λ i is the thermal conductivity of the i-th material, in W·(m·K) -1 ; A i is the heat transfer cross-sectional area of ​​the i-th material, in m 2 .

[0115] Figure 5 In the parallel-series heat conduction calculation model shown in the figure, according to formula (2), the thermal resistance of the heat conduction subunits A, B and C is and The calculation formula is:

[0116]

[0117]

[0118]

[0119] The thermal resistance of the base material in the heat conducting subunits A, B and C and The calculation formula is:

[0120]

[0121]

[0122]

[0123] Where λ1 is the thermal conductivity of the matrix material in subunits A, B, and C;

[0124] The thermal resistance of the inclusion materials in the heat conducting subunits A, B and C and The calculation formula is:

[0125]

[0126]

[0127]

[0128] Where λ2, λ3 and λ4 are the thermal conductivities of the inclusion materials in subunits A, B and C, respectively;

[0129] S3, such as Figure 3 As shown in the figure, combined with the material composition characteristics of the graphene composite insulation board, it is assumed that the graphene composite insulation board is composed of a large number of series-parallel heat conduction calculation units. Taking one of the heat conduction units, based on the Fourier law of heat conduction, the series-parallel heat conduction calculation model of the graphene composite insulation board is established, as shown in the figure. Figure 6 As shown, calculate the thermal resistance of thermal conductive subunits A, B and C and Thermal resistance of the base material in the thermal conductor unit and and the thermal resistance of the inclusion material in the thermal conductive subunit and

[0130] Figure 7 In the series-parallel heat conduction calculation model shown in FIG, according to formula (2), the thermal resistance of the heat conduction subunits A, B and C is and The calculation formula is:

[0131]

[0132]

[0133]

[0134] The thermal resistance of the base material in the heat conducting subunits A, B and C and The calculation formula is:

[0135]

[0136]

[0137]

[0138] The thermal resistance of the inclusion materials in the heat conducting subunits A, B and C and The calculation formula is:

[0139]

[0140]

[0141]

[0142] S4, in Figure 5 In the parallel-series heat conduction calculation unit shown, according to the minimum thermal resistance law and the law of equal equivalent thermal conductivity, the series model calculation expression of the matrix material and inclusion material in the heat conduction subunit is established to calculate the equivalent thermal conductivity of the heat conduction subunits A, B and C. and

[0143] like Figure 5 As shown in the figure, the matrix materials AD, BE, CF and the inclusion materials D, E, F in the heat conducting subunit are all connected in series. Therefore, the calculation expression of the series model of the heat conducting subunits A, B and C is:

[0144]

[0145]

[0146]

[0147] According to formulas (3), (6), (9) and (21), the calculation formula for the equivalent thermal conductivity of the heat conducting subunit A in the series model is obtained as follows:

[0148]

[0149] According to formulas (4), (7), (10) and (22), the calculation formula for the equivalent thermal conductivity of the heat conducting subunit B in the series model is obtained as follows:

[0150]

[0151] According to formulas (5), (8), (11) and (23), the calculation formula for the equivalent thermal conductivity of the heat conducting subunit C in the series model is obtained as follows:

[0152]

[0153] S5, in Figure 7 In the series-parallel heat conduction calculation unit shown, according to the minimum thermal resistance law and the law of equal equivalent thermal conductivity, a parallel model of the matrix material and inclusion material in the heat conduction subunit is established to calculate the equivalent thermal conductivity of the heat conduction subunits A, B and C. and

[0154] like Figure 7 As shown in the figure, the matrix materials AD, BE, CF and the inclusion materials D, E, F in the heat conducting subunit are connected in parallel. Therefore, the calculation expression of the parallel thermal resistance of the heat conducting subunits A, B and C is:

[0155]

[0156]

[0157]

[0158] According to formulas (12), (15), (18) and (27), the calculation formula for the equivalent thermal conductivity of the heat conducting subunit A in the parallel model is obtained as follows:

[0159]

[0160] According to formulas (13), (16), (19) and (28), the calculation formula for the equivalent thermal conductivity of the heat conducting subunit B in the parallel model is obtained as follows:

[0161]

[0162] According to formulas (14), (17), (20) and (29), the calculation formula for the equivalent thermal conductivity of the heat conducting subunit C in the parallel model is obtained as follows:

[0163]

[0164] S6, such as Figure 5 As shown, according to the parallel relationship between the heat conducting subunits A, B and C in the parallel-series heat conduction calculation model, the overall parallel heat conduction calculation model is established to calculate the equivalent thermal conductivity of the material.

[0165] exist Figure 5 In the figure, the heat conducting subunits A, B and C are connected in parallel to form a cubic heat conducting unit. Therefore, the calculation expression of the overall parallel relationship can be expressed as:

[0166]

[0167] According to formula (2), the thermal resistance of the overall heat conduction calculation unit can be expressed as:

[0168]

[0169] According to formulas (3)-(5), (24)-(26), (33) and (34), the equivalent thermal conductivity calculation formula of the parallel-series thermal conductivity calculation model is:

[0170]

[0171] Among them, the expressions of each sub-coefficient are:

[0172]

[0173]

[0174]

[0175]

[0176]

[0177]

[0178]

[0179]

[0180]

[0181]

[0182] S7, such as Figure 7 As shown, according to the series relationship between the heat conducting subunits A, B and C in the series-parallel heat conduction calculation model, the overall series heat conduction calculation model is established to calculate the equivalent thermal conductivity of the material.

[0183] exist Figure 7 In the embodiment, the heat conducting subunits A, B and C are connected in series to form a cubic heat conducting unit. Therefore, the calculation expression of the overall series relationship can be expressed as:

[0184]

[0185] According to formula (2), the thermal resistance of the overall heat conduction calculation unit can be expressed as:

[0186]

[0187] According to formulas (12)-(14), (30)-(32), (46) and (47), the equivalent thermal conductivity calculation formula of the series-parallel heat conduction calculation model is:

[0188]

[0189] Among them, the expressions of each sub-coefficient are:

[0190]

[0191]

[0192]

[0193]

[0194]

[0195]

[0196]

[0197]

[0198]

[0199]

[0200]

[0201]

[0202]

[0203] S8. Based on the continuity and uniformity assumptions of the graphene composite thermal insulation material, the true value of the thermal conductivity should be between the thermal conductivity calculation results of the parallel-series thermal conductivity calculation model and the series-parallel thermal conductivity calculation model, and then the comprehensive average equivalent thermal conductivity λ of the graphene composite thermal insulation material is obtained. E ;

[0204] Specifically, since the distribution of the four materials in the graphene composite insulation board is uniform and random, the true value of its thermal conductivity should be between the thermal conductivity calculation results of the parallel-series thermal conductivity calculation model and the series-parallel thermal conductivity calculation model. Therefore, the equivalent thermal conductivity of the graphene composite insulation board should be close to the average value of the two models. According to formulas (35) and (48), the comprehensive average equivalent thermal conductivity of the graphene composite insulation material can be expressed as:

[0205]

[0206] According to the above method, through calculation and analysis, the calculation results of the comprehensive average thermal conductivity model of the present invention are compared with the results of the series model, parallel model, finite element model, and experimental test. Figure 8 As shown, the comparison results show that compared with the traditional single series and parallel prediction models, the calculation results of the comprehensive average thermal conductivity calculation model provided by the present invention are closer to the finite element and experimental results, and the calculation accuracy is higher.

Claims

1. A comprehensive average calculation method for optimizing the thermal conductivity of graphite insulation materials, characterized in that: The following steps are involved: S1. According to the optimized design parameters of the graphene composite insulation board, the volume proportions of the four materials of graphite polystyrene particles, cement, glass microsphere particles and silica fume in the graphene composite insulation board are determined to be Ф1, Ф2, Ф3 and Ф4 respectively, and the basic dimensions a, b and c are determined according to the volume proportions; The calculation relationship between the volume ratio Φ and the basic dimensions a, b and c is: a=3Φ2, b=3Φ3, c=3Φ4; Wherein, a, b, and c represent the heat transfer lengths of the inclusion materials, respectively; S2. Based on the material composition characteristics of the graphene composite insulation board, a parallel-series thermal conductivity calculation model of the graphene composite insulation board is established, and the thermal resistance of the heat conducting subunits A, B and C in the model is calculated. and Thermal resistance of graphene polystyrene particles, the matrix material in the thermal conductor unit and As well as the thermal resistance of the mixed materials cement, glass beads and silica fume in the thermal conductive subunit and The thermal conductivity of the base material in the heat conducting subunits A, B and C is λ1; The thermal conductivity coefficients of the inclusion materials in the thermal conductive subunits A, B, and C are λ2, λ3, and λ4, respectively; S3. Based on the material composition characteristics of the graphene composite insulation board, a series-parallel heat conduction calculation model of the graphene composite insulation board is established, and the thermal resistance of the heat conduction subunits A, B and C in the model is calculated. and Thermal resistance of the base material in the thermal conductor unit and and the thermal resistance of the inclusion material in the thermal conductive subunit and S4. According to the law of minimum thermal resistance and the law of equal specific equivalent thermal conductivity, a series equivalent thermal conductivity calculation model of the matrix material and inclusion material in the parallel-series model thermal conductivity subunits A, B and C in S2 is established, and the equivalent thermal conductivity of the thermal conductivity subunits A, B and C in the model is calculated. and The expression of the series equivalent heat conduction calculation model is: S5. According to the law of minimum thermal resistance and the law of equal specific equivalent thermal conductivity, establish the parallel equivalent thermal conductivity calculation model of the matrix material and inclusion material in the series-parallel model thermal conductivity subunits A, B and C in S3, and calculate the equivalent thermal conductivity of the thermal conductivity subunits A, B and C in the model. and The expression of the parallel equivalent heat conduction calculation model is: S6. Based on the parallel relationship between the heat conducting subunits A, B and C in the parallel-series heat conduction calculation model obtained in step S2, an overall parallel heat conduction calculation model is established, and the equivalent thermal conductivity of the graphene composite thermal insulation material in the overall parallel heat conduction calculation model is calculated. The expression of the overall parallel heat conduction calculation model is: S7, according to the series relationship between the heat conducting subunits A, B and C in the series-parallel heat conduction calculation model obtained in step S3, establish an overall series heat conduction calculation model, and calculate the equivalent thermal conductivity of the graphene composite insulation material in the overall series heat conduction calculation model The overall series heat conduction calculation model is expressed as follows: S8. Based on the continuity and uniformity assumptions of the graphene composite thermal insulation material, the true value of the thermal conductivity should be between the thermal conductivity calculation results of the parallel-series thermal conductivity calculation model and the series-parallel thermal conductivity calculation model, and then the comprehensive average equivalent thermal conductivity λ of the graphene composite thermal insulation material is obtained. E .

2. The comprehensive average calculation method for optimizing the thermal conductivity of a graphite thermal insulation material according to claim 1, wherein: In step S2, the thermal resistance of the heat conducting subunits A, B and C in the calculation model is and The calculation formula is: The thermal resistance of the base material in the heat conducting subunits A, B and C and The calculation formula is: Where λ1 is the thermal conductivity of the matrix material in the thermal conductive subunits A, B, and C; The thermal resistance of the inclusion materials in the heat conducting subunits A, B and C and The calculation formula is: Where λ2, λ3, and λ4 are the thermal conductivities of the inclusion materials in the thermal conductive subunits A, B, and C, respectively.

3. The comprehensive average calculation method for optimizing the thermal conductivity of a graphite thermal insulation material according to claim 1, wherein: In step S3, the thermal resistance of the heat conducting subunits A, B and C in the model is calculated and The calculation formula is: The thermal resistance of the base material in the heat conducting subunits A, B and C and The calculation formula is: The thermal resistance of the inclusion materials in the heat conducting subunits A, B and C and The calculation formula is:

4. The comprehensive average calculation method for optimizing the thermal conductivity of a graphite thermal insulation material according to claim 1, wherein: In step S4, the equivalent thermal conductivity of the heat conducting subunits A, B and C in the calculation model is calculated. and The calculation formula is:

5. The comprehensive average calculation method for optimizing the thermal conductivity of a graphite thermal insulation material according to claim 1, wherein: In step S5, the equivalent thermal conductivity of the heat conducting subunits A, B and C in the calculation model is calculated. and The calculation formula is:

6. The comprehensive average calculation method for optimizing the thermal conductivity of a graphite insulation material according to claim 1, wherein: In step S6, the equivalent thermal conductivity of the graphene composite thermal insulation material in the overall parallel thermal conductivity calculation model is The calculation formula is: In the above formula, the expressions of each sub-coefficient are:

7. The comprehensive average calculation method for optimizing the thermal conductivity of a graphite thermal insulation material according to claim 1, wherein: In step S7, the equivalent thermal conductivity of the graphene composite thermal insulation material in the overall series thermal conductivity calculation model is The calculation formula is: In the above formula, the expressions of each sub-coefficient are:

8. The comprehensive average calculation method for optimizing the thermal conductivity of graphite insulation materials according to claim 1, wherein: In step S8, the comprehensive average equivalent thermal conductivity λ of the graphene composite thermal insulation material is E The calculation formula is:

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