A method for optimizing the heat flow uniformity of a profiled quartz lamp heater

Abstract

The present application belongs to the technical field of infrared radiation heater, and discloses a profiling quartz lamp heater heat flow uniformity optimization design method, comprising the following steps: establishing a profiling quartz lamp heater model; determining the optimization variables of the profiling quartz lamp heater model to be optimized according to the structure of the established profiling quartz lamp heater model and the test piece; setting the optimization target of the profiling quartz lamp heater model; setting the constraint conditions in the optimization process; and writing an optimization design program based on the improved genetic algorithm. The present application can optimize the included angle between adjacent modular quartz lamp heaters and the distance between the modular quartz lamp heater and the surface of the test piece through the optimization design program, can determine the arrangement mode of the optimized profiling quartz lamp heater model for the complex test piece, and can effectively improve the heat flow density uniformity of the modular quartz lamp heater on the test piece after the optimization of the profiling quartz lamp heater model, thereby improving the test precision and the accuracy of the aircraft surface temperature simulation.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of infrared radiation heater, and particularly relates to a profiling quartz lamp heater heat flow uniformity optimization design method. BACKGROUND

[0002] With the continuous development of science and technology, high-mach number aircrafts face strong aerodynamic heating effect in the service process, resulting in that the aircraft structure bears severe high-temperature load. In order to ensure the safety and reliability of the aircraft structure in the high-temperature environment, the structure needs to be tested and evaluated through ground test. Therefore, the high-temperature load faced by the structure in the flight state needs to be accurately simulated in the ground environment.

[0003] In the ground thermal environment simulation, common heating methods include quartz lamp heating, graphite heating and arc tunnel heating, etc. Among them, the quartz lamp heating has been widely used in engineering practice due to its high temperature rising rate, good heating stability, easy control and assembly and other advantages. Most of the existing quartz lamp heaters are arranged equidistantly according to the shape of the test piece. However, due to the coupling between the heating modules, the boundary cold zone effect and other factors, the heat flow on the surface of the structure is not uniform, which affects the test accuracy, may cause inaccurate simulation of the aircraft surface temperature, and further affects the evaluation of the heat resistance of the thermal protection material. Therefore, in the prior art, the heat flow density received by the surface of the test piece is not uniform, which further easily affects the test accuracy and the accuracy of the aircraft surface temperature simulation. SUMMARY

[0004] In view of the defects in the prior art, the purpose of the present application is to provide a profiling quartz lamp heater heat flow uniformity optimization design method, which solves the problem of uneven heat flow density received by the surface of the test piece in the prior art, which further easily affects the test accuracy and the accuracy of the aircraft surface temperature simulation.

[0005] The purpose of the present application can be achieved by the following technical solutions:

[0006] A profiling quartz lamp heater heat flow uniformity optimization design method, comprising the following steps:

[0007] establishing a profiling quartz lamp heater model;

[0008] determining the optimization variables to be optimized of the profiling quartz lamp heater model according to the structure of the established profiling quartz lamp heater model and the test piece;

[0009] setting the optimization target of the profiling quartz lamp heater model;

[0010] setting the constraint conditions in the optimization process;

[0011] An optimization design program based on the improved genetic algorithm is written, and under the premise of constraint conditions, the optimization design program iterates in the way of hybridization, mutation and screening of different optimization variable permutations and combinations to obtain the optimal different optimization variable permutations and combinations suitable for the test piece, and the profiled quartz lamp heater model is optimized according to the optimal different optimization variable permutations and combinations.

[0012] The profiled quartz lamp heater model comprises a plurality of modular quartz lamp heaters arranged side by side, and any two adjacent modular quartz lamp heaters are rotationally hinged, and the included angle between the two adjacent modular quartz lamp heaters is adjustable.

[0013] The optimization variables include the included angle between the two adjacent modular quartz lamp heaters and the distance between the modular quartz lamp heating and the surface of the test piece.

[0014] The optimization target is the uniformity of the heat flux density distribution of the modular quartz lamp heater on the irradiation surface of the test piece.

[0015] The constraint condition is the pre-set target average heat flux density.

[0016] The optimization design program adopts the dynamic adjustment of mutation probability method in the improved genetic algorithm, and sets the convergence number as the convergence condition to converge the distance between the modular quartz lamp heating and the surface of the test piece.

[0017] The dynamic adjustment of mutation probability method is that when the difference between the current average heat flux density of the irradiation surface of the test piece and the target average heat flux density is large, the mutation probability of the distance between the modular quartz lamp heater and the surface of the test piece is large.

[0018] When the difference between the current average heat flux density of the irradiation surface of the test piece and the target average heat flux density is small, the mutation probability of the distance between the modular quartz lamp heater and the surface of the test piece is small.

[0019] The beneficial effects of the present application are:

[0020] The present application can optimize the included angle between the adjacent modular quartz lamp heaters and the distance between the modular quartz lamp heater and the surface of the test piece through the optimization design program, can determine the arrangement mode of the optimized profiled quartz lamp heater model for the complex test piece, and can compensate the heat flow at the edge of the test piece, effectively improve the heat flux density uniformity of the modular quartz lamp heater on the test piece, and the optimized profiled quartz lamp heater model can improve the test precision and the accuracy of the surface temperature simulation of the aircraft.

[0021] The present application adopts the dynamic adjustment of mutation probability method for optimization design according to the radiation heating characteristics of the quartz lamp heater, so that the distance between the modular quartz lamp heater and the surface of the test piece converges early, thereby improving the stability and convergence speed of the algorithm. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, for those skilled in the field, other drawings can also be obtained based on these drawings without any creative effort.

[0023] Figure 1 is a flow chart of the optimization design method of the present application;

[0024] Figure 2 is a structural schematic diagram of the profiled quartz lamp heater model and test piece of the present application;

[0025] Figure 3 is a schematic diagram of the profiled quartz lamp heater model before optimization of the present application;

[0026] Figure 4 is a surface heat flux density distribution nephogram of the test piece before optimization of the present application;

[0027] Figure 5 is a schematic diagram of the profiled quartz lamp heater model after optimization of the present application;

[0028] Figure 6 is a surface heat flux density distribution nephogram of the test piece after optimization of the present application. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort fall within the scope of the present application.

[0030] As shown in Figures 1 to 6 , a profiled quartz lamp heater heat flux uniformity optimization design method comprises the following steps:

[0031] establishing a profiled quartz lamp heater model;

[0032] determining optimization variables to be optimized of the profiled quartz lamp heater model according to the structure of the established profiled quartz lamp heater model and test piece;

[0033] setting an optimization target of the profiled quartz lamp heater model;

[0034] setting constraint conditions in the optimization process;

[0035] An optimization design program based on the improved genetic algorithm is written, and under the premise of the constraint condition, the optimization design program carries out iteration in the hybridization, mutation and screening mode of the arrangement combination of different optimization variables, so as to obtain the optimal arrangement combination of different optimization variables suitable for the test piece, and the profiled quartz lamp heater model is optimized according to the optimal arrangement combination of different optimization variables.

[0036] The profiled quartz lamp heater model comprises a plurality of modular quartz lamp heaters arranged side by side, and any two adjacent modular quartz lamp heaters are rotationally hinged, and the included angle between the two adjacent modular quartz lamp heaters is adjustable.

[0037] The optimization variables comprise the included angle between the two adjacent modular quartz lamp heaters and the distance between the modular quartz lamp heater and the surface of the test piece.

[0038] According to the optimization variables, the optimization variables and the constraint condition, an optimization design program based on the improved genetic algorithm is written, the optimization design program can search for different optimization variable values in the given design space, different values of different variables are arranged and combined to form a variable combination, that is, an individual, a plurality of individuals form a population library, the optimal individual of each generation is selected, the optimal gene of each generation is transmitted to the next generation through hybridization, mutation and screening, and finally the convergence target is met to obtain the optimal individual.

[0039] As shown in Figure 2 Fig. 1 is a structure schematic diagram of a profiled quartz lamp heater model and a test piece in an embodiment of the present aspect, the included angles between the two adjacent modular quartz lamp heaters of any two groups are a and b respectively, and the distance between the modular quartz lamp heater and the surface of the test piece is h.

[0040] The optimization target is the uniformity of the heat flux density distribution of the modular quartz lamp heater on the irradiation surface of the test piece.

[0041] The calculation formula of the heat flux distribution uniformity of the irradiation surface of the test piece is:

[0042]

[0043] Wherein, σ1 is the standard deviation value of the heat flux density in the irradiation surface, is the average value of the heat flux density in the irradiation surface;

[0044] When the average value of the heat flux density in the irradiation surface is calculated , a plurality of measurement points can be arranged on the surface of the test piece, and the heat flux density of each measurement point needs to be included in the calculation when calculating;

[0045] The heat flux uniformity optimization design method of the profiled quartz lamp heater of the present aspect optimizes the heat flux density distribution uniformity of the irradiation surface of the test piece, so that the heat flux density distribution uniformity of the irradiation surface of the test piece is higher, and the heat flux distribution is more stable.

[0046] The constraint condition is a preset target average heat flux density;

[0047] In the optimization process, the target average heat flux density and the average heat flux density on the irradiation surface of the test piece The following relationship must be satisfied:

[0048]

[0049] Wherein, E0 is the target average heat flux density, and ε is the allowable error of the heat flux density on the irradiation surface relative to the target average heat flux density.

[0050] The optimization design program adopts a dynamic adjustment mutation probability method in the improved genetic algorithm, and sets the convergence number as the convergence condition to converge the distance between the modular quartz lamp heating and the surface of the test piece;

[0051] The dynamic adjustment mutation probability method is that when the difference between the current average heat flux density on the irradiation surface of the test piece and the target average heat flux density is large, the mutation probability of the distance between the modular quartz lamp heater and the surface of the test piece is large.

[0052] When the difference between the current average heat flux density on the irradiation surface of the test piece and the target average heat flux density is small, the mutation probability of the distance between the modular quartz lamp heater and the surface of the test piece is small.

[0053] In the iterative optimization process, the mutation probability is controlled by dynamic adjustment. In the specific calculation process, if the difference between the set target average heat flux density and the average heat flux density on the irradiation surface of the test piece is too large, the difference between the two will be greater than the threshold value δ0, at this time the mutation probability of the first two gene codes of the optimization variable h will be increased, and with the iterative adjustment of h, until the difference between the set target average heat flux density and the average heat flux density on the irradiation surface of the test piece is less than or equal to the threshold value δ0, the mutation probability of the first two gene codes of the variable h is reduced; wherein the specific value of the mutation probability is as follows:

[0054]

[0055] In the formula, δ1 is the difference between the target average heat flux density and the average heat flux density on the irradiation surface of the test piece , p0 is the initial mutation probability, and p m is the dynamically adjusted mutation probability.

[0056] By adjusting the mutation probability adaptively, the current average heat flux density average value on the irradiation surface of the test piece can be ensured to meet the constraint condition as soon as possible, so that the distance between the modular quartz lamp heater and the surface of the test piece converges first, thereby accelerating the overall convergence speed and improving the calculation efficiency of the algorithm.

[0057] It should be noted that the target average heat flux density in the present example is set to 50kw / m 2 , the allowable error ε of the heat flux density in the irradiation surface relative to the target average heat flux density is 1%;

[0058] The arrangement mode of the profiled quartz lamp heater model before optimization is shown in Figure 3 , the heat flux distribution of the test piece before optimization is shown in Figure 4 , the arrangement scheme of the profiled quartz lamp heater after the arrangement mode of the profiled quartz lamp heater model is optimized by using the profiled quartz lamp heater heat flux uniformity optimization design method proposed in the present application is shown in Figure 5 , compared with the two side modular quartz lamp heaters before optimization, the profiled quartz lamp heater is closer to the test piece, which makes up for the heat flux density at the edge, the heat flux density distribution cloud diagram of the test piece after optimization is shown in Figure 6 , compared with Figure 6 and Figure 4 , it can be calculated that the heat flux distribution uniformity of the irradiation surface after optimization in the present example is improved by 7.62%.

[0059] In the description of the present specification, the description of the terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are contained in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0060] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above embodiments, and the above embodiments and descriptions in the specification are only illustrative of the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application.

Claims

1. A method for optimizing the heat flux uniformity of a contoured quartz lamp heater, characterized in that: The following steps are involved: Build a model of a contoured quartz lamp heater; According to the structure of the established contoured quartz lamp heater model and the test piece, the optimization variables to be optimized of the contoured quartz lamp heater model are determined; Setting optimization goals for the contoured quartz lamp heater model; Set constraints during the optimization process; An optimization design program based on an improved genetic algorithm was developed. Under the premise of constraints, the optimization design program iterated the permutations and combinations of different optimization variables through hybridization, mutation, and screening to obtain the optimal permutations and combinations of different optimization variables suitable for the test piece. The contoured quartz lamp heater model was optimized based on the optimal permutations and combinations of different optimization variables. The contoured quartz lamp heater model includes a plurality of modular quartz lamp heaters placed side by side, and any two adjacent modular quartz lamp heaters are rotatably hinged, and the angle between the two adjacent modular quartz lamp heaters is adjustable; The constraint condition is the pre-set target average heat flux density; The optimization design program adopts the dynamic adjustment mutation probability method in the improved genetic algorithm and sets the convergence number as the convergence condition to converge the distance between the modular quartz lamp heating and the surface of the test piece; The dynamic adjustment variation probability method is as follows: when the difference between the current average heat flux density of the irradiated surface of the test piece and the target average heat flux density is large, the variation probability of the distance between the modular quartz lamp heater and the surface of the test piece is large; When the difference between the current average heat flux density of the irradiated surface of the test piece and the target average heat flux density is small, the variation probability of the distance between the modular quartz lamp heater and the surface of the test piece is small.

2. The heat flux uniformity optimization design method of the contoured quartz lamp heater according to claim 1, characterized in that: The optimized variables include the angle between two adjacent modular quartz lamp heaters and the distance between the modular quartz lamp heaters and the surface of the test piece.

3. The heat flux uniformity optimization design method of the contoured quartz lamp heater according to claim 2, characterized in that: The optimization goal is to achieve uniformity in the heat flux distribution of the modular quartz lamp heater on the irradiated surface of the test piece.

Images