Fast calculation of long-time temperature field and simulation method of high-speed low-temperature particle deposition

Abstract

The application relates to the fields of simulation calculation and coating technology, and discloses a long-time temperature field fast calculation and high-speed low-temperature spraying particle deposition simulation method, which realizes the updating of an environmental variable and the changing of a material thermal conductivity parameter at the same time through the binding of the environmental variable and the material thermal conductivity parameter, and when the thermal conductivity of the material increases, the calculation time of a characteristic length proportionally decreases, the calculation time is greatly shortened without changing a limit stable value, and a fast calculation process is realized. In order to avoid the influence of linear slow change of the thermal conductivity parameter on the calculation accuracy of a fast analysis step, a first transition analysis step is additionally arranged before the fast calculation analysis step, the linear change process of the thermal conductivity is completed in the transition analysis step, and the calculation efficiency of a finite element explicit solver for solving a long-time temperature field is effectively improved.

Description

Technical Field

[0001] This invention relates to the fields of simulation calculation and coating technology, specifically to a method for rapid calculation of long-term temperature fields and simulation of high-speed low-temperature spraying particle deposition. Background Technology

[0002] Solving transient, instantaneous dynamic events, such as impacts and explosions, requires explicit finite element solvers, which are suitable for solving nonlinear dynamics and quasi-static problems. The mechanical processes in these problems are typically very short, while the temperature fields following the event are relatively long. Explicit solvers are conditionally stable during the analysis process; the increment step must be smaller than a certain limit value to ensure that the acceleration is as close to constant as possible in each increment step, allowing for accurate integration of velocity and displacement. This limit value is called the stability limit, which is the maximum allowable stable increment step size in the analysis. To improve solution efficiency, the solver always selects the stability limit value as the increment step size during the analysis process. Therefore, the size of the stability limit value restricts the computation time. When solving long-term temperature fields using explicit solvers, a large amount of computational resources are consumed under the stability limit value constraint. To improve computational efficiency, mass scaling techniques can be used to artificially increase the material density, thereby increasing the stability limit value and saving analysis time. However, mass scaling techniques increase the inertial effect of dynamic analysis, which may affect the accuracy of the dynamic analysis results. Therefore, how to quickly solve long-term temperature fields while ensuring solution accuracy remains a technical challenge.

[0003] High-speed cryogenic spraying is a novel spraying technology developed based on classic supersonic flame spraying and classic cold spraying. It combines the advantages of high powder velocity in supersonic flame spraying and low solid powder temperature in cold spraying. The quality of high-speed cryogenic spraying depends on the particle deposition effect. The impact process between high-speed cryogenic spraying particles and the substrate is a complex impact dynamics process. The numerical calculation of the impact process involves multiple aspects such as impact dynamics, material nonlinearity, structural nonlinearity, and temperature softening, requiring explicit solvers for calculation. The temperature field after particle deposition also affects the deposition behavior of subsequent particles. In multi-particle simulations, the role of the temperature field is even more prominent. Therefore, solving the long-term temperature field after particle deposition in high-speed cryogenic spraying is indispensable. The calculation method that takes into account both transient impact behavior and long-term temperature field remains a technical challenge that urgently needs to be solved. Summary of the Invention

[0004] In order to overcome the shortcomings of the existing technology, the present invention aims to provide a method for rapid calculation of long-term temperature fields and high-speed low-temperature spraying particle deposition simulation, so as to solve the technical problems of low computational efficiency when using finite element explicit solvers to solve long-term temperature fields and the difficulty in solving both transient impact behavior and long-term temperature fields.

[0005] This invention is achieved through the following technical solution: A rapid calculation method for long-term temperature fields includes the following steps: Step 1: Establish a finite element model based on an explicit solver, preset the thermal conductivity parameters of the material, and complete the basic calculation conditions for numerical simulation. The basic calculation conditions for numerical simulation are calculated in the following steps: normal calculation analysis step, first transition analysis step, and fast calculation analysis step. Step 2, define an updatable environment variable, which includes environment variable a and environment variable b; Step 3: Establish the relationship between the material's thermal conductivity parameter and environmental variables. Environmental variable a corresponds to the material's intrinsic thermal conductivity, and environmental variable b corresponds to k times the material's intrinsic thermal conductivity. Step 4: In the first transitional analysis step, update the value of the environmental variable from environmental variable a to environmental variable b, so that the value of thermal conductivity is updated synchronously with the environmental variable to k times the intrinsic thermal conductivity, and then proceed to the rapid calculation analysis step to complete the rapid calculation of the long-term temperature field.

[0006] Preferably, in step 1, the normal calculation analysis step is defined as (n-1)%4=0; the first transition analysis step is defined as (n-1)%4=1; and the fast calculation analysis step is defined as (n-1)%4=2; where n is the number of analysis steps.

[0007] Preferably, in step 1, the basic computational conditions for numerical simulation include geometric dimensions, boundary conditions, predefined fields, and mesh generation.

[0008] Preferably, in step 3, the relationship between the material thermal conductivity parameter and the environmental variables is one-to-one.

[0009] Preferably, after step 4, the system enters the second transitional analysis step after the rapid calculation analysis step, where environmental variable b is changed to environmental variable a, so that the value of thermal conductivity is updated synchronously with the environmental variable to the intrinsic thermal conductivity, and then returns to the normal calculation analysis step. The definition formula of the second transitional analysis step is (n-1)%4=3.

[0010] Furthermore, the solution time in the first and second transient analysis steps is less than the solution time in the normal computational analysis step.

[0011] A high-speed, low-temperature spray particle deposition simulation method, based on the aforementioned rapid calculation method for long-term temperature fields, includes the following steps: S1: Obtain the particle deposition conditions for high-speed low-temperature spraying particles, including particle velocity and temperature; S2: Based on the explicit solver, establish geometric models of powder particles and sediments respectively, set boundary conditions and initial conditions, set material thermal conductivity parameters for powder particles and sediments respectively, perform mesh generation, and perform calculations in sequence according to the normal calculation analysis step, the first transition analysis step and the fast calculation analysis step; S3: Define an updatable environment variable that has at least two values, named environment variable a and environment variable b; S4: Establish the relationship between material thermal conductivity parameters and environmental variables. Environmental variable a corresponds to the intrinsic thermal conductivity of both powder particles and deposits, and environmental variable b corresponds to k times the intrinsic thermal conductivity of both powder particles and deposits. S5: In the first transitional analysis step, update the value of the environmental variable from environmental variable a to environmental variable b, so that the value of thermal conductivity is updated synchronously with the environmental variable to k times the intrinsic thermal conductivity, and then reach the fast calculation analysis step to complete the fast calculation of the long-term temperature field.

[0012] S6: Complete the calculations under different particle velocities and temperatures to obtain the simulation results of high-speed low-temperature spraying particle deposition.

[0013] Preferably, in S1, the particle deposition rate and temperature should be selected according to the particle velocity and temperature during high-speed low-temperature spraying under actual conditions, with a particle velocity of 600~1100 m / s and a particle temperature of 500~1300 K.

[0014] Preferably, in S2, when establishing the geometric model of powder particles and deposits, when multiple powder particles are deposited, the falling distance between particles / particle impact velocity ≤ t 4i-1 .

[0015] Preferably, in S2, the size of the sediment body is set to 5 to 10 times the diameter of the sediment particles, the bottom boundary restricts its vertical displacement, the two side boundaries are set with periodic boundary conditions, the particles and the sediment body as a whole restrict their displacement perpendicular to the thickness direction, the particle grid size is ≤ 1 / 50 of the particle diameter, and the remaining grids can be coarsened.

[0016] Compared with the prior art, the present invention has the following beneficial technical effects: This invention provides a rapid calculation method for long-term temperature fields. By binding environmental variables to material thermal conductivity parameters, the method updates environmental variables while simultaneously changing the material's thermal conductivity parameters. As the material's thermal conductivity increases, the calculation time for the characteristic length decreases proportionally, significantly shortening the calculation time without altering the limiting stability value, thus achieving a rapid calculation process. To avoid the slow, linear changes in thermal conductivity parameters affecting the calculation accuracy of the rapid analysis step, a first transitional analysis step is added before the rapid calculation analysis step. This allows the linear change in thermal conductivity to be completed within the transitional analysis step, effectively improving the computational efficiency when solving long-term temperature fields using an explicit finite element solver.

[0017] This invention also provides a high-speed, low-temperature spraying particle deposition simulation method. Combining a rapid calculation method for long-term temperature fields, it achieves this by binding environmental variables to material thermal conductivity parameters. This allows for simultaneous updating of environmental variables and changes in material thermal conductivity parameters. As the material's thermal conductivity increases, the calculation time for the characteristic length decreases proportionally, significantly shortening the calculation time without altering the limiting stability value, thus achieving a rapid calculation process. To avoid the slow, linear changes in thermal conductivity parameters affecting the calculation accuracy of the rapid analysis step, a first transitional analysis step is added before the rapid calculation analysis step, allowing the linear change in thermal conductivity to be completed within this transitional analysis step. This rapid calculation method can quickly obtain the temperature field results after particle deposition, enabling the selection of particle velocity and temperature conditions, and providing guidance for the process parameters of high-speed, low-temperature spraying. Attached Figure Description

[0018] Figure 1 This is a flowchart of the rapid calculation method for long-term temperature fields in this invention; Figure 2 This is a flowchart of the long-term temperature field rapid calculation method in the present invention for high-speed low-temperature spraying particle deposition simulation method. Detailed Implementation

[0019] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0020] The present invention will now be described in further detail with reference to the accompanying drawings: The purpose of this invention is to provide a method for rapid calculation of long-term temperature fields and simulation of high-speed low-temperature spraying particle deposition, so as to solve the technical problems of low computational efficiency when using finite element explicit solvers to solve long-term temperature fields and the difficulty in solving both transient impact behavior and long-term temperature fields.

[0021] Example 1 See Figure 1 In one embodiment of the present invention, a method for rapid calculation of long-term temperature fields is provided, comprising the following steps: Step 1: Establish a finite element model based on an explicit solver, preset the thermal conductivity parameters of the material, and complete the basic calculation conditions for numerical simulation. The basic calculation conditions for numerical simulation are calculated in the following steps: normal calculation analysis step, first transition analysis step, and fast calculation analysis step. Specifically, the formula for the normal calculation analysis step is (n-1)%4=0; the formula for the first transition analysis step is (n-1)%4=1; and the formula for the fast calculation analysis step is (n-1)%4=2; where n is the number of analysis steps.

[0022] Specifically, in step 1, the basic computational conditions for numerical simulation include geometric dimensions, boundary conditions, predefined fields, and mesh generation.

[0023] The explicit solver in this invention is suitable for solving high-speed dynamics problems and highly nonlinear problems, and does not involve iterative calculations; except for thermal conductivity, all other material parameters remain consistent with the intrinsic properties of the material and are not changed in subsequent calculations.

[0024] Step 2, define an updatable environment variable, which includes environment variable a and environment variable b; Specifically, environmental variables are identified by the program through their numbers, and are essentially intermediaries for material parameters; environmental variables are updatable, meaning that environmental variables can change from one value to another. Step 3: Establish the relationship between the material's thermal conductivity parameter and environmental variables. Environmental variable a corresponds to the material's intrinsic thermal conductivity, and environmental variable b corresponds to k times the material's intrinsic thermal conductivity; where k ≤ 100000.

[0025] Specifically, the thermal conductivity parameter of the material corresponds one-to-one with environmental variables.

[0026] Step 4: In the first transitional analysis step, update the value of the environmental variable from environmental variable a to environmental variable b, so that the value of thermal conductivity is updated synchronously with the environmental variable to k times the intrinsic thermal conductivity, and then proceed to the rapid calculation analysis step to complete the rapid calculation of the long-term temperature field.

[0027] Specifically, after the rapid calculation analysis step, the second transition analysis step is entered, where the environmental variable b is changed to the environmental variable a, so that the value of thermal conductivity is updated synchronously with the environmental variable to the intrinsic thermal conductivity, and then the normal calculation analysis step is returned. The definition formula of the second transition analysis step is (n-1)%4=3.

[0028] Specifically, the solution time in the first and second transitional analysis steps is shorter than that in the normal calculation analysis step, thus avoiding the impact of linear changes in material parameters on the accuracy of the rapid temperature field solution.

[0029] In summary, this invention provides a rapid calculation method for long-term temperature fields. By binding environmental variables to material thermal conductivity parameters, it achieves simultaneous updating of environmental variables and changes in material thermal conductivity parameters. As the thermal conductivity of the material increases, the calculation time for the characteristic length decreases proportionally, significantly shortening the calculation time without altering the limiting stability value, thus achieving a rapid calculation process. To avoid the slow, linear change in thermal conductivity parameters affecting the calculation accuracy of the rapid analysis step, a first transitional analysis step is added before the rapid calculation analysis step, allowing the linear change in thermal conductivity to be completed within the transitional analysis step.

[0030] Example 2 See Figure 2 This embodiment provides a high-speed, low-temperature spray particle deposition simulation method, based on the aforementioned rapid calculation method for long-term temperature fields, including the following steps: S1: Obtain the particle deposition conditions for high-speed low-temperature spraying particles, including particle velocity and temperature; The particle deposition rate and temperature should be selected based on the actual conditions of high-speed low-temperature spraying, with a particle velocity of 600~1100 m / s and a particle temperature of 500~1300 K.

[0031] S2: Based on the explicit solver, establish the geometric models of powder particles and sediments respectively, set the boundary conditions and initial conditions, set the thermal conductivity parameters of the powder particles and sediments respectively, set the 4i-1 analysis step, perform mesh generation, and perform calculations in sequence according to the normal calculation analysis step, the first transition analysis step and the fast calculation analysis step; When establishing the geometric model of powder particles and sediments, there can be one or more particles. When multiple powder particles are deposited, the falling distance between particles / particle impact velocity ≤ t. 4i-1 .

[0032] The size of the sediment body is set to 5 to 10 times the diameter of the sediment particles. The bottom boundary restricts its vertical displacement, and periodic boundary conditions are set on both sides. The particles and the sediment body as a whole restrict their displacement perpendicular to the thickness direction. The particle mesh size is ≤1 / 50 of the particle diameter, and the remaining meshes can be coarsened.

[0033] S3: Define an updatable environment variable that has at least two values, named environment variable a and environment variable b; S4: Establish the relationship between material thermal conductivity parameters and environmental variables. Environmental variable a corresponds to the intrinsic thermal conductivity of both powder particles and deposits, and environmental variable b corresponds to k times the intrinsic thermal conductivity of both powder particles and deposits. S5: In the first transitional analysis step, update the value of the environmental variable from environmental variable a to environmental variable b, so that the value of thermal conductivity is updated synchronously with the environmental variable to k times the intrinsic thermal conductivity, and then reach the fast calculation analysis step to complete the fast calculation of the long-term temperature field.

[0034] S6: Complete the calculations under different particle velocities and temperatures to obtain the simulation results of high-speed low-temperature spraying particle deposition; S7: Extract and compare the morphology, porosity, residual stress, and plastic strain of the deposited body obtained after particle deposition, and make a judgment on particle velocity and temperature conditions.

[0035] Among them, the results of high flattening of the sediment body, low porosity, large residual compressive stress, and large plastic strain indicate that the particle deposition effect is better.

[0036] In summary, this invention also provides a high-speed, low-temperature spraying particle deposition simulation method. Combined with a rapid calculation method for long-term temperature fields, it achieves simultaneous updating of environmental variables and material thermal conductivity parameters by binding environmental variables to these parameters. As the material's thermal conductivity increases, the calculation time for the characteristic length decreases proportionally, significantly shortening the calculation time without altering the limiting stability value, thus achieving a rapid calculation process. To avoid the slow, linear change in thermal conductivity parameters affecting the calculation accuracy of the rapid analysis step, a first transitional analysis step is added before the rapid calculation analysis step, allowing the linear change in thermal conductivity to be completed within this transitional analysis step. This rapid calculation method can quickly obtain the temperature field results after particle deposition, enabling the selection of particle velocity and temperature conditions, and providing guidance for the process parameters of high-speed, low-temperature spraying.

[0037] Example 3 In this embodiment, based on the long-term temperature field fast calculation method, the ABAQUS / / Explicit solver is used, and the Euler method is used to simulate the impact of a single TC4 particle on the TC4 matrix during high-speed low-temperature spraying. L1: During the high-speed low-temperature spraying experiment, the particle velocity of a particle with a particle size of 30 μm was measured to be 800 m / s and the temperature was 600 K. L2: Establish geometric models for powder particles and sediments respectively. The diameter of the powder particles is 30 μm, and the size of the sediment is 10 times the diameter of the particles. Restrict the vertical movement of the bottom of the sediment. Set periodic boundary conditions on both sides of the sediment. Assign the material properties of TC4 to the powder particles and sediments. Perform mesh generation. The mesh size of the powder particles and sediments is 1 / 50 of the particle diameter. Set 3 analysis steps. Analysis step 1 is the normal calculation analysis step for particle impact, with a duration of 8e-8 s. Analysis step 2 is the transition analysis step, with a duration of 1e-12 s. Analysis step 3 is the rapid calculation analysis step for the temperature field, with a duration of 1e-8 s. Create an Euler component, create its discrete field, and name the node group of its element assembly NodeSet-REF. The scope of NodeSet-REF covers all nodes in the model. L3: Define environment variables in ABAQUS—field variables. Set two field variables, namely field variable 1 and field variable 2. L4: Establish the relationship between the material's thermal conductivity parameter and field variables. Use the CAE operation, set the Number of field variables to 1, and enter the value of field variable 1 in the thermal conductivity field, which corresponds to the actual thermal conductivity value of TC4. The value of field variable 2 corresponds to 10,000 times the actual thermal conductivity. L5: Before submitting the calculation, change field variable 1 to field variable 2 by modifying the inp file, and insert the following statement in the second analysis step: field NodeSet-REF,2; L6: Submit the calculation to obtain the simulation results 1e-4 s after the particle impact is completed; L7: Extracting the morphology of the particles after deposition revealed that the particles were fully deformed and had a high flattening ratio. There was residual compressive stress in the matrix, and many areas of large plastic strain occurred in the particles, indicating that the particle deposition effect was good and the velocity and temperature were reasonable.

[0038] Example 4 In this embodiment, based on the long-term temperature field fast calculation method, the ABAQUS / / Explicit solver is used, and the Euler method is used to simulate the impact of five TC4 particles on a NiCrAlMo matrix during high-speed low-temperature spraying. K1: Obtain the velocities of two particles with a particle size of 30 μm, set to 800 m / s and 700 m / s respectively, at a temperature of 650 K; K2: Establish geometric models for powder particles and sediments respectively. The diameter of the powder particles is 30 μm, and the size of the sediment is 10 times the diameter of the particles. Restrict the vertical movement of the bottom of the sediment. Set periodic boundary conditions on both sides of the sediment. Assign the material properties of TC4 to the powder particles and NiCrAlMo to the sediment. Perform mesh generation. The mesh size of the powder particles and sediment is 1 / 50 of the particle diameter. Set 19 analysis steps. Analysis steps 1, 5, 9, 13, and 17 are normal particle impact calculation analysis steps with a duration of 1e-7 s. Analysis steps 2, 4, 6, 8, 10, 12, 14, 16, and 18 are transition analysis steps with a duration of 1e-12 s. Analysis steps 3, 7, 11, 15, and 19 are rapid temperature field calculation analysis steps with a duration of 1e-8 s. Create an Euler component, create its discrete field, and name the node group of its element assembly NodeSet-REF. The scope of NodeSet-REF covers all nodes in the model. K3: Define environment variables in ABAQUS—field variables. Set two field variables, namely field variable 1 and field variable 2. K4: Establish the relationship between the material's thermal conductivity parameter and field variables using the CAE operation. Set the Number of field variables to 1. In the thermal conductivity field, enter the value of field variable 1, which corresponds to the actual thermal conductivity value of TC4 and NiCrAlMo. The value of field variable 2 corresponds to 10,000 times the actual thermal conductivity. K5: Before submitting the calculation, modify the field variables by changing the inp file, and insert the following statements in analysis steps 2, 6, 10, 14, and 18: field NodeSet-REF,2; Insert the following statements in analysis steps 4, 8, 12, and 16: field NodeSet-REF,1; K6: Submit the calculation and obtain the simulation results of multi-particle deposition with a particle impact time interval of 1e-4 s; K7: Extracting and comparing the morphology of the particles after deposition, it was found that the particles deformed fully and had a high flattening ratio at a velocity of 800 m / s, resulting in low porosity of the deposit. At the same time, the residual compressive stress in the matrix was large, and there were many areas of large plastic strain in the deposit, indicating that the deposition effect was better when the particle velocity was 800 m / s.

[0039] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A rapid calculation method for long-term temperature fields, characterized in that, Includes the following steps: Step 1: Establish a finite element model based on an explicit solver, preset the thermal conductivity parameters of the material, and complete the basic calculation conditions for numerical simulation. The basic calculation conditions for numerical simulation are calculated in the following steps: normal calculation analysis step, first transition analysis step, and fast calculation analysis step. Step 2, define environment variables, including environment variable a and environment variable b; Step 3: Establish the relationship between the material's thermal conductivity parameter and environmental variables. Environmental variable a corresponds to the material's intrinsic thermal conductivity, and environmental variable b corresponds to k times the material's intrinsic thermal conductivity. Step 4: In the first transitional analysis step, update the value of the environmental variable from environmental variable a to environmental variable b, so that the value of thermal conductivity is updated synchronously with the environmental variable to k times the intrinsic thermal conductivity, and then reach the rapid calculation analysis step to complete the rapid calculation of the long-term temperature field. Step 5: After the rapid calculation and analysis step, proceed to the second transitional analysis step, change the environmental variable b to environmental variable a, and update the value of thermal conductivity to intrinsic thermal conductivity in sync with the environmental variable, then return to the normal calculation and analysis step; The solution time in the first and second transition analysis steps is less than the solution time in the normal computation analysis step.

2. The method for rapid calculation of long-term temperature fields according to claim 1, characterized in that, In step 1, the normal calculation analysis step is defined as (n-1)%4=0; the first transition analysis step is defined as (n-1)%4=1; and the fast calculation analysis step is defined as (n-1)%4=2; where n is the number of analysis steps.

3. The method for rapid calculation of long-term temperature fields according to claim 1, characterized in that, In step 1, the basic computational conditions for numerical simulation include geometric dimensions, boundary conditions, predefined fields, and mesh generation.

4. The method for rapid calculation of long-term temperature fields according to claim 1, characterized in that, In step 3, the relationship between the material's thermal conductivity parameter and environmental variables is one-to-one.

5. The method for rapid calculation of long-term temperature fields according to claim 1, characterized in that, After step 4, in step 5, the definition formula for the second transition analysis step is (n-1)%4=3.

6. A high-speed, low-temperature spraying particle deposition simulation method, based on the rapid calculation method for long-term temperature fields according to any one of claims 1-5, characterized in that, Includes the following steps: S1: Obtain the particle deposition conditions for high-speed low-temperature spraying particles, including particle velocity and temperature; S2: Based on the explicit solver, establish geometric models of powder particles and sediments respectively, set boundary conditions and initial conditions, set material thermal conductivity parameters for powder particles and sediments respectively, perform mesh generation, and perform calculations in sequence according to the normal calculation analysis step, the first transition analysis step and the fast calculation analysis step; S3: Define environment variables, giving them two values, environment variable a and environment variable b; S4: Establish the relationship between material thermal conductivity parameters and environmental variables. Environmental variable a corresponds to the intrinsic thermal conductivity of both powder particles and deposits, and environmental variable b corresponds to k times the intrinsic thermal conductivity of both powder particles and deposits. S5: In the first transitional analysis step, update the value of the environmental variable from environmental variable a to environmental variable b, so that the value of thermal conductivity is updated synchronously with the environmental variable to k times the intrinsic thermal conductivity, and reach the fast calculation analysis step to complete the fast calculation of the long-term temperature field. S6: Complete the calculations under different particle velocities and temperatures to obtain the simulation results of high-speed low-temperature spraying particle deposition.

7. A high-speed, low-temperature spraying particle deposition simulation method according to claim 6, characterized in that, In S1, the particle deposition rate and temperature should be selected according to the particle velocity and temperature during high-speed low-temperature spraying under actual conditions. The particle velocity is 600~1100 m / s and the particle temperature is 500~1300 K.

8. The high-speed low-temperature spraying particle deposition simulation method according to claim 6, characterized in that, In S2, when establishing the geometric model of powder particles and deposits, when multiple powder particles are deposited, the falling distance between particles / particle impact velocity ≤ t 4i-1 .

9. The high-speed low-temperature spraying particle deposition simulation method according to claim 6, characterized in that, In S2, the size of the sediment body is set to 5 to 10 times the diameter of the sediment particles. The bottom boundary restricts its vertical displacement, and periodic boundary conditions are set on both sides. The particles and the sediment body as a whole restrict their displacement perpendicular to the thickness direction. The particle grid size is ≤ 1 / 50 of the particle diameter, and the rest of the grid is coarsened.

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