Method for analyzing arc heater performance using test database

Abstract

The method of analyzing the performance of arc heater by using test database is as follows: (1) building test database, the operation parameters and test data of arc heater can be automatically obtained from the control machine and test machine respectively; (2) the operation parameters and test data of arc heater are associated with each other by taking the test train number as the associated quantity; (3) the key variables affecting the performance of arc heater are determined, such as the operation time, operation current value, operation voltage value, working gas flow, mixed chamber pressure and other parameters, and all related parameters are summarized and counted by using the database platform; (4) taking the same type of arc heater as the research object, all related test data are screened, the key variable data and input parameters are statistically analyzed, and the atlas is drawn, so as to obtain the electrode life graph, the volt-ampere characteristic graph and the enthalpy pressure characteristic graph of arc heater; (5) with the increase of test data, the atlas is continuously expanded, and the numerical solution of the key variables of arc heater performance changing with the input parameters is obtained.

Description

Technical Field

[0001] This invention relates to the field of ground simulation testing of aerodynamic thermal environments. Background Technology

[0002] Arc heaters are core equipment in ground simulation tests of thermal protection for aerospace vehicles both domestically and internationally. They are a crucial means of addressing ground-based thermal protection assessments for hypersonic vehicles such as missiles, recoverable satellites, and manned spacecraft return capsules. Currently, with an increasing number of domestic missions and more complex trajectories, arc heaters are required to have a wider range of simulation capabilities. The operating power, enthalpy, and total pressure of the equipment must span from extremely low to extremely high states. This necessitates thorough research and exploration of arc heater performance, mastering the relationship between heater performance parameters and input quantities to meet the testing requirements of new types of vehicles.

[0003] Currently, our understanding of the performance parameters of various types of heaters is not precise, making it impossible to predict flow field parameters under different input conditions in advance. Each test requires measurement using probes and sensors to confirm the flow field state, impacting experimental efficiency. Therefore, we aim to obtain a heater operating performance spectrum by statistically analyzing the test state parameters. By continuously updating this spectrum, we can achieve accurate prediction of test conditions, improving both experimental efficiency and guiding improvements to heater performance. Summary of the Invention

[0004] The technical problem solved by this invention is to overcome the shortcomings of the prior art and provide a method for analyzing the performance of an electric arc heater using an experimental database. This method utilizes a database platform to combine the operating parameters and test data of the electric arc heater to obtain a spectrum of key variables characterizing the heater's performance, thereby enabling the study of the heater's performance.

[0005] The technical solution of this invention: a method for analyzing the performance of an arc heater using an experimental database, comprising the following steps:

[0006] An experimental database was established based on the operating parameter data and test data of the electric arc heater. The operating parameters are the operating data of the electric arc heater, including the main gas flow rate, cold gas flow rate, current value, voltage value, and operating time. The test data are the flow field parameters of the electric arc heater, including heat flux, arc chamber pressure, mixing chamber pressure, and total temperature.

[0007] Based on the aforementioned test database, the operating parameter data and test data of the electric arc heater are correlated with each other using the test batch number as the correlation quantity.

[0008] The key variables characterizing the performance of the electric arc heater are identified, including the electrode running time, heater operating voltage, total enthalpy, and total pressure; all key variables are categorized and statistically analyzed using an experimental database.

[0009] Taking the same type of electric arc heater as the research object, all relevant experimental data were screened from the classification statistics results. The key variable data and input parameters were statistically analyzed and plotted into graphs to obtain the electrode life graph, volt-ampere characteristic graph, and enthalpy-pressure characteristic graph of the electric arc heater. The graphs were used to obtain the numerical solutions of the key variables characterizing the performance of the electric arc heater as a function of the input parameters.

[0010] The input parameters include gas flow rate, given current value, throat size, and throat nozzle size.

[0011] Preferably, the experimental data obtained from subsequent experiments are re-entered into the experimental database for processing to expand the spectrum.

[0012] Preferably, the operating parameter data and test data of the electric arc heater are obtained from the control machine and the testing machine respectively; the function of the control machine is to control the input parameters of the electric arc heater and monitor and record the operating data of the heater during the test; the function of the testing machine is to measure and record the flow field parameters of the electric arc heater, and adjust the flow field parameters of the testing machine by changing the input parameters of the control machine to realize the simulation of the aerodynamic thermal environment.

[0013] Preferably, the control unit and the testing unit are two independent network systems, and the data of the two systems can only be linked through the test vehicle number.

[0014] Systems for analyzing the performance of electric arc heaters using experimental databases include:

[0015] The database establishment module establishes an experimental database based on the operating parameter data and test data of the electric arc heater. The operating parameters are the operating data of the electric arc heater, including the main gas flow rate, cold gas flow rate, current value, voltage value, and operating time. The test data are the flow field parameters of the electric arc heater, including heat flux, arc chamber pressure, mixing chamber pressure, and total temperature.

[0016] The association module, based on the test database, associates the arc heater operating parameter data and test data with the test batch number as the association quantity.

[0017] The classification and statistics module clearly identifies the key variables characterizing the performance of the electric arc heater, including the electrode running time, heater operating voltage, total enthalpy, and total pressure; and performs classification and statistics on all key variables.

[0018] The learning module takes arc heaters of the same type as the research object, selects all relevant experimental data from the classification statistics, and uses two parameters from gas flow rate, given current value, throat size, and nozzle size as input variables. It uses a neural network for training, associating the input variables with key variables, and gradually increasing the number of input variables until the deviation between the calculated results and the measured data meets the requirements. Statistical analysis is performed on the key variable data and input parameters, and graphs are plotted to obtain the arc heater electrode life diagram, volt-ampere characteristic diagram, and enthalpy-pressure characteristic diagram. Numerical solutions characterizing the arc heater performance as a function of the input parameters are obtained using these graphs.

[0019] Preferably, the database establishment module acquires the arc heater's operating parameter data and test data from the control machine and the testing machine; the control machine controls the input parameters of the arc heater and monitors and records the heater's operating data during the test; the testing machine measures and records the flow field parameters of the arc heater, and adjusts the flow field parameters of the testing machine by changing the input parameters of the control machine to simulate the aerodynamic thermal environment.

[0020] A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method.

[0021] An apparatus for analyzing the performance of an arc heater using a test database includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the method.

[0022] The advantages of this invention compared to the prior art are as follows:

[0023] (1) By statistically analyzing a large amount of experimental data, a heater performance spectrum is obtained. Based on the heater performance spectrum, the output parameters of the heater under different input conditions can be accurately predicted, thereby improving the efficiency of test debugging.

[0024] (2) By statistically analyzing a large amount of experimental data, the performance of different structural sizes of the same type of electric arc heater can be analyzed, which helps to optimize the design of electric arc heater. Attached Figure Description

[0025] Figure 1 Statistical methods for experimental databases.

[0026] Figure 2 A method for establishing heater performance profiles. Detailed Implementation

[0027] like Figure 1 The figure shows the statistical method for experimental data of this invention. Figure 2 The method for establishing the performance spectrum of this invention is described below in conjunction with... Figure 1 , Figure 2 The implementation process of the method of this invention is described in detail below:

[0028] (1) An experimental database was established, and the operating parameters and test data of the electric arc heater were obtained from the control unit and the testing unit, respectively. The operating parameters included the main gas flow rate, cold gas flow rate, current value, voltage value, and running time. The test data included heat flux, arc chamber pressure, mixing chamber pressure, and total temperature. The control unit was used to control the input parameters of the electric arc heater and monitor and record the operating data of the heater during the test. The testing unit was used to measure and record the flow field parameters of the electric arc heater. The flow field parameters of the testing unit were adjusted by changing the input parameters of the control unit to simulate the aerodynamic thermal environment. The control unit and the testing unit were two independent network systems, and the data of the two systems could only be linked by the test vehicle number.

[0029] (2) After the test data is captured from the test database, the arc heater operating parameter data and test data are correlated with each other by the test train number. All relevant test data can be queried and processed according to the train number. The operating parameters are stored in the form of a database, and the test parameters are stored in Excel format. Finally, the test database is converted into a unified database file.

[0030] (3) Clearly define the key variables that characterize the performance of the electric arc heater, such as the electric arc heater electrode running time, heater operating voltage, total enthalpy, total pressure and other parameters. Use the database platform to classify and statistically analyze all relevant parameters. The classification and statistical criteria are based on the following levels: the first level is related data of the same type of heater, the second level is related data of the same type of electric arc heater with the same throat size, and the third level is related data of the same type of electric arc heater with the same throat size and the same nozzle size.

[0031] (4) Taking the same type of electric arc heater as the research object, all relevant experimental data were screened, and the key variable data and input parameters were statistically analyzed (input parameters include gas flow rate, given current value, throat size, nozzle size, etc.). Through neural network algorithm, they were correlated with arc voltage value, arc chamber pressure, gas flow enthalpy value, running time, and heat flow on the surface of the test probe (according to operating experience, arc voltage and arc chamber pressure are related to gas flow rate, current value, and throat size; gas flow enthalpy value is related to current value and throat size, and weakly related to gas flow rate; running time is related to arc chamber pressure and given current value; and heat flow is related to gas flow enthalpy value, arc chamber pressure, and nozzle size). After data training, the corresponding relationship was obtained. Two input variables were initially considered. The number of calculation variables was gradually increased according to the calculation accuracy until the deviation between the calculation result and the measurement result was less than 10%. The graphs were drawn to obtain the electrode life graph, volt-ampere characteristic graph, and enthalpy pressure characteristic graph of the electric arc heater.

[0032] (5) As the amount of experimental data increases, the spectrum is continuously expanded to obtain numerical solutions of the key variables characterizing the performance of the electric arc heater as the input parameters change.

[0033] A heater performance profile is composed of discrete points. By using a large amount of data, an envelope diagram of heater performance can be obtained. Based on this, key variables of the heater can be predicted and the equipment can be improved.

[0034] The present invention also provides a system for analyzing the performance of an arc heater using a test database, comprising:

[0035] The database establishment module establishes an experimental database based on the operating parameter data and test data of the electric arc heater. The operating parameters are the operating data of the electric arc heater, including the main gas flow rate, cold gas flow rate, current value, voltage value, and operating time. The test data are the flow field parameters of the electric arc heater, including heat flux, arc chamber pressure, mixing chamber pressure, and total temperature.

[0036] The association module, based on the test database, associates the arc heater operating parameter data and test data with the test batch number as the association quantity.

[0037] The classification and statistics module clearly identifies the key variables characterizing the performance of the electric arc heater, including the electrode running time, heater operating voltage, total enthalpy, and total pressure; and performs classification and statistics on all key variables.

[0038] The learning module takes arc heaters of the same type as the research object, selects all relevant experimental data from the classification statistics, and uses two parameters from gas flow rate, given current value, throat size, and nozzle size as input variables. It uses a neural network for training, associating the input variables with key variables, and gradually increasing the number of input variables until the deviation between the calculated results and the measured data meets the requirements. Statistical analysis is performed on the key variable data and input parameters, and graphs are plotted to obtain the arc heater electrode life diagram, volt-ampere characteristic diagram, and enthalpy-pressure characteristic diagram. Numerical solutions characterizing the arc heater performance as a function of the input parameters are obtained using these graphs.

[0039] The database establishment module acquires the arc heater's operating parameter data and test data from the control unit and the testing unit. The control unit controls the input parameters of the arc heater and monitors and records the heater's operating data during the test. The testing unit measures and records the flow field parameters of the arc heater. By changing the input parameters of the control unit, the flow field parameters of the testing unit are adjusted to simulate the aerodynamic thermal environment.

[0040] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method.

[0041] The present invention also provides an apparatus for analyzing the performance of an arc heater using a test database, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above method.

[0042] The parts of this invention not described in detail are common knowledge to those skilled in the art.

Claims

1. A method for analyzing the performance of an electric arc heater using an experimental database, characterized in that... Includes the following steps: An experimental database was established based on the operating parameter data and test data of the electric arc heater. The operating parameters are the operating data of the electric arc heater, including the main gas flow rate, cold gas flow rate, current value, voltage value, and operating time. The test data are the flow field parameters of the electric arc heater, including heat flux, arc chamber pressure, mixing chamber pressure, and total temperature. Based on the aforementioned test database, the operating parameter data and test data of the electric arc heater are correlated with each other using the test batch number as the correlation quantity. The arc heater's operating parameters and test data are obtained from the control unit and the testing unit respectively; the control unit and the testing unit are two independent network systems, and the data of the two systems can only be linked through the test vehicle number; The key variables characterizing the performance of the electric arc heater are identified, including the electrode running time, heater operating voltage, total enthalpy, and total pressure; all key variables are categorized and statistically analyzed using an experimental database. Taking the same type of electric arc heater as the research object, all relevant experimental data were screened from the classification statistics results. The key variable data and input parameters were statistically analyzed and plotted into graphs to obtain the electrode life graph, volt-ampere characteristic graph, and enthalpy-pressure characteristic graph of the electric arc heater. The graphs were used to obtain the numerical solutions of the key variables characterizing the performance of the electric arc heater as a function of the input parameters. The input parameters include gas flow rate, given current value, throat size, and throat nozzle size.

2. The method according to claim 1, characterized in that: The experimental data obtained from subsequent experiments were re-entered into the experimental database for processing and to expand the spectrum.

3. The method according to claim 1, characterized in that: The control unit controls the input parameters of the electric arc heater and monitors and records the operating data of the heater during the test. The testing unit measures and records the flow field parameters of the electric arc heater. By changing the input parameters of the control unit, the flow field parameters of the testing unit are adjusted to simulate the aerodynamic thermal environment.

4. A system for analyzing the performance of an arc heater using an experimental database, based on the method for analyzing the performance of an arc heater using an experimental database as described in claim 1, characterized in that... include: The database creation module establishes an experimental database based on the operating parameter data and test data of the electric arc heater. The operating parameters are the operating data of the electric arc heater, including main gas flow rate, cold gas flow rate, current value, voltage value, and operating time; the test data are the flow field parameters of the electric arc heater, including heat flux, arc chamber pressure, mixing chamber pressure, and total temperature. The association module, based on the test database, associates the arc heater operating parameter data and test data with the test batch number as the association quantity. The classification and statistics module clearly identifies the key variables characterizing the performance of the electric arc heater, including the electrode running time, heater operating voltage, total enthalpy, and total pressure; and performs classification and statistics on all key variables. The learning module takes arc heaters of the same type as the research object, selects all relevant experimental data from the classification statistics, and uses two parameters from gas flow rate, given current value, throat size, and nozzle size as input variables. It uses a neural network for training, associating the input variables with key variables, and gradually increasing the number of input variables until the deviation between the calculated results and the measured data meets the requirements. Statistical analysis is performed on the key variable data and input parameters, and graphs are plotted to obtain the arc heater electrode life diagram, volt-ampere characteristic diagram, and enthalpy-pressure characteristic diagram. Numerical solutions characterizing the arc heater performance as a function of the input parameters are obtained using these graphs.

5. The system according to claim 4, characterized in that: The database establishment module acquires the arc heater's operating parameter data and test data from the control unit and the testing unit. The control unit controls the input parameters of the arc heater and monitors and records the heater's operating data during the test. The testing unit measures and records the flow field parameters of the arc heater. By changing the input parameters of the control unit, the flow field parameters of the testing unit are adjusted to simulate the aerodynamic thermal environment.

6. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 3.

7. An apparatus for analyzing the performance of an electric arc heater using a test database, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 3.

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