Method, device and storage medium for determining turbine similarity test conditions

Abstract

The present invention provides a method, device, and storage medium for determining turbine similarity test conditions. The method comprises: obtaining influencing parameters of the turbine similarity test conditions; screening the influencing parameters based on a number of basic quantities to obtain a set of candidate influencing parameters; processing the candidate influencing parameters in the set based on the basic quantities to obtain a turbine simulation test similarity criterion; and determining the turbine similarity test conditions based on the similarity test criterion function. This method can improve the accuracy of the estimated results of turbine component simulation tests.

Description

Technical Field

[0001] The present invention relates to the technical field of aircraft generator testing, and in particular to a method, a device and a storage medium for determining turbine similarity test conditions. Background Art

[0002] With the advancement of aircraft generator testing technology, turbines, as key components of aircraft engines and gas turbines, have become crucial components of engine development. Turbine aerodynamic design is essential to meet the power requirements of new aircraft engines. Turbine testing verifies turbine design solutions and provides feedback on the turbine's aerodynamic design through measurement and calculation results. Turbine design and testing are closely linked and mutually reinforcing. During turbine aerodynamic performance testing, the high temperatures and pressures at the turbine inlet make it difficult and expensive to simulate the operating conditions of a prototype turbine, and ensuring test safety is challenging. Therefore, model turbines are typically used for simulation testing. This simulation testing method involves modeling the turbine according to similarity principles, conducting tests on simulated test equipment, and then measuring and calculating the turbine's flow field and performance.

[0003] In the prior art, simulation tests are generally conducted using expansion ratio and reduced speed, which often suffer from large deviations and low accuracy. Summary of the Invention

[0004] The present invention provides a method, device and storage medium for determining turbine similarity test conditions, which are used to solve the defect of low accuracy in the determination process of turbine similarity test conditions in the prior art and achieve the purpose of improving the accuracy of determining turbine component simulation test results.

[0005] The present invention provides a method for determining turbine similarity test conditions, comprising: obtaining influencing parameters of the turbine similarity test conditions; screening the influencing parameters according to the number of basic quantities to obtain a set of candidate influencing parameters; processing the candidate influencing parameters in the candidate influencing parameter set based on the basic quantities to obtain similarity test criteria; and determining the turbine similarity test conditions based on the similarity test criteria.

[0006] According to a method for determining turbine similarity test conditions provided by the present invention, the similarity test criteria include a first expansion ratio or a second expansion ratio, and determining the turbine similarity test conditions based on the similarity test criteria includes: obtaining the first expansion ratio and a first specific heat ratio, the first expansion ratio being the expansion ratio of the turbine flow field, and the first specific heat ratio being the specific heat ratio of the turbine flow field; according to the reduced isentropic work conditions of the turbine and the model turbine, using the first expansion ratio, the first specific heat ratio and the second specific heat ratio, to obtain the second expansion ratio; wherein the second expansion ratio is the expansion ratio of the model turbine flow field, and the second specific heat ratio is the specific heat ratio of the model turbine fluid.

[0007] According to a method for determining turbine similarity test conditions provided by the present invention, the similarity test criteria include a first speed or a second speed, and determining the turbine similarity test conditions based on the similarity test criteria includes: processing the first speed based on the first specific heat ratio and the second specific heat ratio to obtain the second speed; wherein the first speed is the turbine speed, the second speed is the speed of the model turbine, and the second specific heat ratio is the specific heat ratio of the model turbine fluid.

[0008] According to a method for determining turbine similarity test conditions provided by the present invention, the processing of candidate influencing parameters in the candidate influencing parameter set based on the basic quantity to obtain similarity test criteria includes: exponentially processing the basic quantity to obtain index parameters corresponding to each of the candidate influencing parameters; and dimensionlessly processing each of the candidate influencing parameters according to the index parameters to obtain similarity test criteria.

[0009] According to a method for determining similar test conditions of a turbine provided by the present invention, the method also includes: obtaining simulation test data; the simulation test data includes the second expansion ratio and second efficiency data corresponding to the second expansion ratio; the second efficiency data is the efficiency data of the model turbine; curve fitting is performed on the simulation test data to obtain a first simulation test efficiency curve; based on the reduced isentropic work condition, according to the second expansion ratio, the second specific heat ratio and the first specific heat ratio, the corresponding first expansion ratio is calculated, and the second efficiency data is determined as the corrected test data corresponding to the first expansion ratio; the first simulation test efficiency curve is adjusted using the corrected test data to obtain a second simulation test efficiency curve; wherein, the second simulation test efficiency curve is the efficiency curve corresponding to the turbine.

[0010] The present invention also provides a device for determining turbine similarity test conditions, comprising: an influencing parameter acquisition module, used to obtain the influencing parameters of the turbine similarity test conditions; a candidate influencing parameter set acquisition module, used to screen the influencing parameters according to the number of basic quantities to obtain a candidate influencing parameter set; a similarity test criterion acquisition module, which processes the candidate influencing parameters in the candidate influencing parameter set based on the basic quantities to obtain a similarity test criterion; and a turbine similarity test condition determination module, used to determine the turbine similarity test conditions based on the similarity test criterion.

[0011] The present invention also provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any of the above-described methods for determining turbine similarity test conditions are implemented.

[0012] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any of the above methods for determining turbine similarity test conditions are implemented.

[0013] The method for determining turbine similarity test conditions provided by the present invention comprises obtaining influencing parameters of the turbine similarity test conditions; screening the influencing parameters based on the number of basic quantities to obtain a set of candidate influencing parameters; processing the candidate influencing parameters in the set based on the basic quantities to obtain a similarity test criterion; and determining the turbine similarity test conditions based on the similarity test criterion. By screening the influencing parameters and processing the screened influencing parameters, a more accurate similarity test criterion can be obtained. This similarity test criterion improves the accuracy of the estimated results of turbine component simulation tests. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 This is one of the scenario application diagrams of the method for determining turbine similarity test conditions provided by the present invention;

[0016] Figure 2 This is one of the flow charts of the method for determining turbine similarity test conditions provided by the present invention;

[0017] Figure 3This is the second flow chart of the method for determining turbine similarity test conditions provided by the present invention;

[0018] Figure 4 This is the third flow chart of the method for determining turbine similarity test conditions provided by the present invention;

[0019] Figure 5 This is the fourth flow chart of the method for determining turbine similarity test conditions provided by the present invention;

[0020] Figure 6 This is the fifth flow chart of the method for determining turbine similarity test conditions provided by the present invention;

[0021] Figure 7 This is one of the schematic diagrams showing the effect of the method for determining turbine similarity test conditions provided by the present invention;

[0022] Figure 8 This is the second schematic diagram of the effect of the method for determining turbine similarity test conditions provided by the present invention;

[0023] Figure 9 It is a schematic structural diagram of a device for determining turbine similarity test conditions provided by the present invention;

[0024] Figure 10 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0025] To make the objectives, technical solutions, and advantages of the present invention more clearly apparent, the technical solutions of the present invention are described below in detail and in full, with reference to the accompanying drawings. It should be understood that the embodiments described herein are only a portion of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are intended to fall within the scope of protection of the present invention.

[0026] The method for determining turbine similarity test conditions provided in this application can be applied to Figure 1In the illustrated application environment, the system is specifically applied to a system for determining turbine similarity test conditions. The system includes a terminal 102 and a server 104, wherein the terminal 102 communicates with the server 104 via a network. The server 104 executes a method for determining turbine similarity test conditions. Specifically, the server 104 obtains influencing parameters of the turbine similarity test conditions from the terminal 102; screens the influencing parameters based on the number of basic quantities to obtain a set of candidate influencing parameters; processes the candidate influencing parameters in the set based on the basic quantities to obtain similarity test criteria; and determines the turbine similarity test conditions based on the similarity test criteria. The terminal 102 can be, but is not limited to, various parameter acquisition devices, personal computers, laptops, smartphones, tablet computers, and portable wearable devices. The server 104 can be implemented as a standalone server or a server cluster consisting of multiple servers.

[0027] The following combination Figure 2-Figure 6 The method of determining turbine similarity test conditions of the present invention is described.

[0028] In one embodiment, Figure 2 As shown in the figure, a method for determining similar test conditions of turbine is provided. Figure 1 The following steps are used as an example to illustrate the server in the example:

[0029] Step 202: Obtain influencing parameters of turbine similar test conditions.

[0030] The turbine similarity test conditions refer to the conditions under which the turbine similarity test is conducted; the influencing parameters refer to the parameters that can affect the turbine similarity test conditions, such as the turbine's geometric parameters or operating parameters.

[0031] Specifically, before determining the turbine similarity test conditions, the server needs to first collect parameters that may affect the turbine similarity test conditions.

[0032] In one embodiment, a parameter collection device, such as a parameter collector, is used to collect parameters of the turbine, and the collected influencing parameters are transmitted to a server. Correspondingly, the server obtains influencing parameters of similar test conditions of the turbine.

[0033] Step 204 : Screen the influencing parameters according to the number of basic quantities to obtain a set of candidate influencing parameters.

[0034] Here, basic quantities refer to independent physical quantities that can be used to derive other physical quantities. For example, length or mass are basic quantities in mechanics.

[0035] Specifically, after obtaining the influencing parameters, the server selects a set consisting of any number of influencing parameters from the influencing parameters as a candidate influencing parameter set; the size of the arbitrary number is the same as the size of the basic quantity. For example, if the number of influencing parameters obtained is 9 and 4 of them are randomly selected as the basic quantity, the remaining 5 influencing parameters constitute the candidate influencing parameter set.

[0036] In one embodiment, the influencing parameters obtained by the server are 11 turbine flow and performance parameters as an example, and the 11 parameters are {stage average diameter D, rotor speed n, gas constant R, dynamic viscosity μ, specific heat ratio γ, inlet total temperature Total inlet pressure Total outlet pressure Flow rate G, efficiency η * , efficiency P}, the basic dimensions involved are mass M, length L, time t and thermodynamic temperature T. The efficiency η among the above influencing parameters * The specific heat ratio γ itself is a dimensionless quantity, and the remaining influencing parameters are 9 dimensional influencing parameters. Therefore, 4 quantities are selected as basic quantities from the 9 dimensional influencing parameters, for example, the stage average diameter D, the gas constant R, the inlet total temperature Total inlet pressure As the basic quantity, the candidate influencing parameter set is {rotor speed n, dynamic viscosity μ, outlet total pressure flow G, efficiency P}.

[0037] Step 206 : Based on the basic quantity, the candidate influencing parameters in the candidate influencing parameter set are processed to obtain similarity test criteria.

[0038] Specifically, the server obtains the candidate influencing parameter set {rotor speed n, dynamic viscosity μ, outlet total pressure After the flow rate G, efficiency P}, use the above basic quantities to select the stage average diameter D, gas constant R, inlet total temperature Total inlet pressure Each candidate influencing parameter in the above candidate influencing parameter set is processed to obtain a similarity test criterion.

[0039] In one embodiment, the dimensionless expression for the rotor speed n is as follows:

[0040]

[0041] The formula can be expressed by the basic dimensions of mass M, length L, time t and thermodynamic temperature T as follows:

[0042]

[0043] The dynamic viscosity μ is expressed as the formula:

[0044]

[0045] The formula can be expressed by the basic dimensions of mass M, length L, time t and thermodynamic temperature T as follows:

[0046]

[0047] Total outlet pressure Expressed as a formula:

[0048]

[0049] The formula can be expressed by the basic dimensions of mass M, length L, time t and thermodynamic temperature T as follows:

[0050]

[0051] The flow rate G is expressed as the formula:

[0052]

[0053] The formula can be expressed by the basic dimensions of mass M, length L, time t and thermodynamic temperature T as follows:

[0054]

[0055] The efficiency P is expressed as the formula:

[0056]

[0057] The formula can be expressed by the basic dimensions of mass M, length L, time t and thermodynamic temperature T as follows:

[0058]

[0059] According to the above formulas (2)(4)(6)(8)(10), dimensionless transformation is performed to obtain the similarity test criterion, which is expressed as the formula:

[0060]

[0061] Step 208 determines turbine similarity test conditions based on similarity test criteria.

[0062] The turbine similarity test conditions refer to the conditions when a turbine is simulated using a model turbine, wherein the model turbine is a model for facilitating verification of the efficiency of the turbine, etc.

[0063] Specifically, after obtaining the similarity test criteria, the server can determine the turbine similarity test conditions based on the similarity test criteria. For example, the turbine similarity test conditions can be determined by the relationship between the expansion ratio between the model turbine and the turbine, the relationship between the rotational speed, or the relationship between the flow conditions.

[0064] In one embodiment, the turbine similarity test conditions are determined based on the expansion ratio included in the similarity test criteria. Assume that the expansion ratio is expressed as According to the isentropic work of the turbine and the model turbine, similar test conditions of the turbine and the model turbine are obtained. The similar test conditions can be expressed as the formula:

[0065]

[0066] In the above-described method for determining turbine similarity test conditions, influencing parameters of the turbine similarity test conditions are obtained; the influencing parameters are screened based on the number of basic quantities to obtain a set of candidate influencing parameters; the candidate influencing parameters in the set are processed based on the basic quantities to obtain a similarity test criterion; and the turbine similarity test conditions are determined based on the similarity test criterion. By screening the influencing parameters and processing the screened influencing parameters, a more accurate similarity test criterion can be obtained. Based on this similarity test criterion, the accuracy of determining the simulation test results of turbine components is improved.

[0067] In one embodiment, Figure 3 As shown, the similarity test criteria include the first expansion ratio or the second expansion ratio. Based on the similarity test criteria, determining the turbine similarity test conditions includes:

[0068] Step 302 : Obtain a first expansion ratio and a first specific heat ratio, wherein the first expansion ratio is the expansion ratio of the turbine flow field, and the first specific heat ratio is the specific heat ratio of the turbine flow field.

[0069] The expansion ratio is the ratio of the total pressure at the turbine outlet at the end of the power stroke to the total pressure at the turbine inlet at the beginning of the power stroke. The specific heat ratio is the ratio between the specific heat at constant pressure and the specific heat at constant volume of the turbine flow field.

[0070] Specifically, the server can obtain the turbine outlet total pressure through parameter collection equipment, such as sensors. and inlet total pressure And, the specific heat ratio γ of the turbine flow field, assuming that the expansion ratio is expressed as E, then the expansion ratio E is expressed as the formula:

[0071]

[0072] Step 304 : According to the isentropic work conditions of the turbine and the model turbine, the first expansion ratio, the first specific heat ratio, and the second specific heat ratio are used to obtain a second expansion ratio; wherein the second expansion ratio is the expansion ratio of the model turbine flow field.

[0073] The isentropic work condition refers to the condition that makes the entropy of the turbine and the model turbine equal.

[0074] Specifically, after obtaining the first expansion ratio, the first specific heat ratio, and the second specific heat ratio of the turbine flow field, the server obtains the second expansion ratio of the model turbine flow field through the isentropic work condition.

[0075] In one embodiment, the isentropic work condition W is expressed as the formula:

[0076]

[0077] Using the above formula (14), the second expansion ratio of the model turbine flow field can be obtained through the first expansion ratio, the first specific heat ratio and the second specific heat ratio of the turbine flow field and the isentropic work condition.

[0078] In this embodiment, by obtaining the first expansion ratio and the first specific heat ratio, according to the isentropic work conditions of the turbine and the model turbine, the first expansion ratio and the first specific heat ratio are used to obtain the second expansion ratio, so as to achieve the purpose of accurately obtaining the expansion ratio of the model turbine flow field.

[0079] In one embodiment, the similarity test criteria include a first speed or a second speed. Based on the similarity test criteria, determining the turbine similarity test conditions includes: processing the first speed based on the first specific heat ratio and the second specific heat ratio to obtain the second speed; wherein the first speed is the prototype turbine speed, the second speed is the model turbine speed, and the second specific heat ratio is the specific heat ratio of the model turbine fluid.

[0080] Specifically, there is a functional relationship between the specific heat ratio and the rotational speed. Assuming that the rotational speed is represented by N, the rotational speed N is expressed as the formula:

[0081]

[0082] By using the above formula (15), the speed of the model turbine can be obtained when the first speed n, the first specific heat ratio γ and the second specific heat ratio of the turbine are known.

[0083] In this embodiment, the first rotational speed is processed based on the first specific heat ratio and the second specific heat ratio to obtain the second rotational speed, thereby achieving the purpose of accurately obtaining the rotational speed of the model turbine.

[0084] In one embodiment, Figure 4It is shown that similarity test criteria include similarity conditions of flow conditions. Based on similarity test criteria, similarity test conditions of turbines are determined to include:

[0085] Step 402: Acquire a first flow rate, which is a fluid flow rate of the turbine.

[0086] Specifically, the server is connected to the flow velocity measuring device and the turbine in sequence, and the server can receive the first flow velocity transmitted by the flow velocity measuring device.

[0087] Step 404 : Obtain a second flow velocity based on a functional relationship between the first flow velocity and a flow condition similarity condition; wherein the second flow velocity is a fluid flow velocity of the model turbine.

[0088] The flow condition similarity condition refers to a condition that enables similar fluid conditions to be achieved between the turbine and the model turbine, and the condition can be represented by a function with flow velocity.

[0089] Specifically, after obtaining the first flow rate, the server can obtain the second flow rate using the flow condition similarity condition. The flow condition similarity condition can be expressed as the formula:

[0090]

[0091] According to the similar flow conditions between the turbine and the model turbine, when the first flow velocity V is known, the corresponding second flow velocity of the model turbine can be obtained using the density ρ of the turbine fluid, the chord length b of the turbine blades, and the dynamic viscosity μ of the fluid.

[0092] In this embodiment, the first flow velocity is obtained, which is the fluid flow velocity of the turbine, and the second flow velocity is obtained according to the functional relationship between the first flow velocity and the flow condition similarity condition, so as to achieve the purpose of accurately obtaining the second flow velocity of the model turbine.

[0093] In one embodiment, Figure 5 As shown, based on the basic quantity, the candidate influencing parameters in the candidate influencing parameter set are processed to obtain similar test criteria including:

[0094] Step 502: Perform indexation processing on the basic quantity to obtain index parameters corresponding to each candidate influencing parameter.

[0095] The indexation process refers to adding an index to the basic quantity to form an index value. For example, the basic quantity is the average diameter D of the turbine stage, and the indexation process is: Index parameters refer to the parameters used in the indexation process. For example, the average diameter D of the wheel after indexation is Then a1 is the exponential parameter.

[0096] Specifically, for the above formulas (2)(4)(6)(8)(10), based on the exponential parameters in the basic dimensions of mass M, length L, time t and thermodynamic temperature T, the exponential parameters a1 to a5, b1 to b5, c1 to c5 and d1 to d5 of the basic dimensions of mass M, length L, time t and thermodynamic temperature T corresponding to each candidate influencing parameter are obtained. For example, assuming that the candidate influencing parameter is the rotor speed n, the corresponding exponential parameter calculation formula is obtained using the above formula (2), which is specifically:

[0097] For the basic dimension t, the following formula can be obtained:

[0098] -1-2b1-2d1=0 (17)

[0099] For the basic dimension L, the following formula can be obtained:

[0100] a1+2b1-d1=0 (18)

[0101] For the basic dimension T, the following formula can be obtained:

[0102] -b1+c1=0 (19)

[0103] For the basic dimension M, the following formula can be obtained:

[0104] d1=0 (20)

[0105] Using the above formulas (17)(18)(19)(20), we can calculate the index parameters a1 to be 1, b1 to be -0.5, c1 to be -0.5, and d1 to be 0. Similarly, we can use formulas (4)(6)(8)(10) to obtain a2 to a5, b2 to b5, c2 to c5, and d2 to d5. The following table 1 is the index parameter table:

[0106] Table 1 Index parameter table

[0107]

[0108] The sequence numbers in Table 1 are the same as the order of the index parameters. For example, b in the second row represents b2.

[0109] Step 504 : Perform dimensionless processing on each candidate influencing parameter according to the index parameter to obtain a similarity test criterion.

[0110] Specifically, after obtaining the index parameter, the server combines the corresponding index parameter with the dimensionless expression formula of each candidate influencing parameter to obtain the similarity test criterion. For example, the index parameter a1 corresponding to the candidate influencing parameter n is 1, b1 is -0.5, c1 is -0.5, and d1 is 0, and combined with the above formula (1), the dimensionless expression N of the rotor speed n is obtained. 无 , N 无 Expressed as a formula:

[0111]

[0112] Similarly, we can get the following formula:

[0113]

[0114]

[0115]

[0116]

[0117] Re is the dimensionless representation of Reynolds number, P 无 The dimensionless expression of the expansion ratio, G 无 The dimensionless expression of flow, W 无 A dimensionless representation of power.

[0118] In this embodiment, the basic quantity is indexed to obtain the index parameters corresponding to each candidate influencing parameter. According to the index parameters, each candidate influencing parameter is dimensionlessly processed to obtain the similarity test criterion, which can achieve the purpose of obtaining the similarity test criterion through the similarity criterion corresponding to the candidate influencing parameter.

[0119] In one embodiment, Figure 6 As shown, the method for determining turbine similarity test conditions also includes:

[0120] Step 602 , obtaining simulation test data; the simulation test data includes a second expansion ratio and second efficiency data corresponding to the second expansion ratio; the second efficiency data is efficiency data of the model turbine.

[0121] Specifically, the server simulates the acquired data of the model turbine through the efficiency simulation software corresponding to the model turbine, and obtains simulation test data, which includes the second expansion ratio corresponding to the model turbine and the corresponding second efficiency data.

[0122] Step 604 : Perform curve fitting on the simulation test data to obtain a first simulation test efficiency curve.

[0123] Specifically, the simulation test data acquired by the server are discrete data points. After curve fitting is performed on the discrete data points, a first simulation test efficiency curve is obtained. On this curve, second efficiency data corresponding to different second expansion ratios can be obtained.

[0124] Step 606 , based on the reduced isentropic work condition, the corresponding first expansion ratio is calculated according to the second expansion ratio, the second specific heat ratio and the first specific heat ratio, and the second efficiency data is determined as the corrected test data corresponding to the first expansion ratio.

[0125] Specifically, after obtaining the first simulation test efficiency curve, the server can find the corresponding first efficiency data on the curve through the first expansion ratio of the turbine. For example, on the first simulation test efficiency curve, the efficiency corresponding to the second expansion ratio of 5 is 83%, and the corresponding first expansion ratio is 5.4, and the corresponding efficiency on the first simulation test efficiency curve is 80%. After the server obtains the second efficiency data, it can adjust the first simulation test efficiency curve to make it more realistically approximate the efficiency curve of the real turbine. For example, the efficiency corresponding to the second expansion ratio of 5 is 83%, and the corresponding first expansion ratio is 5.4, and the corresponding efficiency on the first simulation test efficiency curve is 80%. According to the equal equivalent isentropic work, the efficiency corresponding to the second expansion ratio of 5 on the first simulation test efficiency curve is adjusted from 83% to 80%, and so on, to obtain the corrected test data corresponding to the real turbine.

[0126] Step 608 : Using the corrected test data, adjust the first simulation test efficiency curve to obtain a second simulation test efficiency curve; wherein the second simulation test efficiency curve is an efficiency curve corresponding to the turbine.

[0127] Specifically, after obtaining the corrected test data, the server performs curve fitting using the data to obtain a second simulation test efficiency curve. The second simulation test efficiency curve is obtained by adjusting the first simulation test efficiency curve using the corrected test data.

[0128] In this embodiment, by obtaining simulation test data, curve fitting is performed on the simulation test data to obtain a first simulation test efficiency curve, based on the reduced isentropic work condition, according to the second expansion ratio, the second specific heat ratio and the first specific heat ratio, the corresponding first expansion ratio is calculated, the second efficiency data is determined as the corrected test data corresponding to the first expansion ratio, and the first simulation test efficiency curve is adjusted using the corrected test data to obtain the second simulation test efficiency curve, which can achieve the purpose of using the relevant data of the model turbine to accurately obtain the efficiency curve of the real turbine.

[0129] In one embodiment, a model turbine under low temperature conditions and a real turbine under high temperature conditions are taken as examples. The real turbine is a single-stage high-pressure turbine with 24 guide vanes and 54 moving blades, and the working fluid is a gas with an oil-gas ratio of 0.021. Given the inlet total temperature, inlet total pressure, outlet total pressure, and speed of the high-temperature prototype turbine design conditions, and the inlet total temperature of the turbine under low temperature conditions, the specific heat ratio of the working fluids under high temperature conditions and low temperature conditions can be obtained by looking up a table or calculating. First, the reduced speeds of the low temperature conditions and high temperature conditions are equal, where the reduced speed is represented by N in the above formula (15), and the speed corresponding to the low temperature conditions can be calculated. By monitoring the Reynolds number Re, which is represented by S in formula (16), and the reduced isentropic work, which is represented by W in formula (14), during the numerical simulation solution process, the inlet and outlet total pressures are adjusted to ensure that the Reynolds number Re and the reduced isentropic work of the low temperature conditions and high temperature conditions are equal, and the corresponding inlet total pressure and outlet total pressure can be obtained. The inlet and outlet aerodynamic parameters and operating parameters of high temperature conditions are shown in Table 2 below.

[0130] Table 2 Working parameters

[0131]

[0132] In CFX-Pre (fluid processing software), the inlet total temperature, inlet total pressure, and outlet total pressure were set as inlet and outlet boundary conditions, and the speed was set as the operating parameter. The three-dimensional steady-state RANS (Reynolds Equation) equations were then solved. The SST (Shear Stress Transfer) turbulence model was selected. The computational domain consisted of a single rotor channel and a single stator channel, and the flow field corresponding to the prototype high-temperature operating condition was obtained. Efficiency is a very important stage performance parameter to be determined in turbine testing and is also the most important test result in turbine simulation testing. Based on the numerical simulation results, the efficiency of both high and low-temperature operating conditions can be calculated. By setting boundary conditions according to the similarity criteria in current industry standards, the corresponding low-temperature operating condition is obtained, denoted as Condition 1. Using the above-mentioned method for setting boundary conditions for the low-temperature operating condition, the low-temperature operating condition corresponding to the method for determining turbine similarity test conditions can be obtained, denoted as Condition 2.

[0133] Working condition 1: expansion ratio, reduced speed, Reynolds number Re;

[0134] Working condition 2: reduced isentropic work, reduced speed, Reynolds number Re;

[0135] Specifically, such as Figure 7Figure 2 shows the approximation between the Mach number (Ma) of the model turbine and the actual Mach number (Ma) of the turbine under two operating conditions at different spanwise heights. The horizontal axis represents Mach number, the vertical axis represents spanwise height, and the three curves represent the spanwise Ma distribution for Conditions 1, 2, and the turbine (prototype), respectively. Specifically, the Ma at the rotor blade outlet for the high-temperature condition is approximately 0.55, while the Ma at the rotor blade outlet for Condition 1 is only approximately 0.49. The Ma at the rotor blade outlet for the low-temperature condition, obtained using similar methods based on relevant industry standards, is significantly lower than that for the high-temperature condition. This demonstrates that ensuring equal expansion ratios for the high and low temperature conditions does not result in similar flow fields, primarily due to unequal specific heat ratios. The Ma at the rotor blade outlet for Condition 2 is significantly closer in value and spanwise distribution to that of the high-temperature prototype condition. The Ma after the rotor blade throat for Condition 1 is significantly lower than that of the prototype condition, while the overall Ma distribution for Condition 2 is significantly closer to that of the high-temperature prototype condition. Therefore, the low-temperature flow field obtained by the method of determining turbine similarity test conditions in the present invention can better reflect the flow field of the corresponding prototype turbine. The efficiency of the test and prototype under the above two working conditions are shown in Table 3 below:

[0136] Table 3 Efficiency comparison table

[0137]

[0138] When the specific heat ratios are unequal, ensuring only the equivalent speed and expansion ratio will result in a 0.4% deviation in turbine stage efficiency from the prototype high-temperature condition for Condition 1. The flow field comparisons above show significant differences between Condition 1 and the baseline, leading to a correspondingly large deviation in efficiency. The efficiency for Condition 2 deviates from the prototype high-temperature condition by 0.21%. Using the aforementioned method for determining turbine similarity test conditions, this efficiency deviation is reduced by approximately 50%. When the specific heat ratios cannot be guaranteed in actual testing, the method for determining turbine similarity test conditions yields results that are closer to the flow field and performance of the high-temperature prototype. Numerical simulations were performed at different operating points under both high and low operating conditions to determine their efficiency characteristics. The data from these different operating points were then processed using our developed similarity method. Taking the reduced speed of 100%, 90%, and 80% as examples, the numerical simulation results for each operating point are shown in Figure 8. The three groups of line segments, from top to bottom, represent the efficiency curves at 100%, 90%, and 80% speeds, respectively. The horizontal axis represents the fluid expansion ratio, and the vertical axis represents the efficiency corresponding to the expansion ratio. For example, with an expansion ratio of 4.0, the dashed line in the third group represents the efficiency of 84% for the modeled operating condition. The dashed line represents the performance characteristics under low-temperature conditions, where the data for each operating point are modeled. The solid lines represent the efficiency characteristics under high-temperature conditions at the three reduced speeds. The processed data points are the data points marked with triangles in the figure. The figure shows that the low- and high-condition characteristic lines have essentially the same trend, but the efficiency varies differently with the expansion ratio. This is due to the different specific heat ratios γ between the high and low conditions. When the expansion ratio is between 3.5-3.75 at 100% speed, and when the expansion ratio is around 3.5 at 80% speed and 90% speed, the high and low working condition characteristic lines are very close, but in other areas, there are large differences between the two. The data points after modeling are all close to the high working condition characteristic line. The following tables (4)(5)(6) respectively show the deviation between the low working condition efficiency and the high working condition efficiency at 80% speed, 90% speed and 100% reduced speed, as well as the deviation between the efficiency modeled according to the above method of determining the turbine similar test conditions and the high working condition efficiency. It can be seen that when the expansion ratio is 5, the low working condition efficiency is much higher than the high working condition efficiency, and the difference between the two values ​​can reach about 2%. This proves that when the same expansion ratio is guaranteed, the test results under low working conditions cannot accurately reflect the performance of the turbine under high working conditions, so the efficiency data needs to be adjusted to reflect the performance of the high working conditions. It can be seen from Tables 4, 5 and 6 below that, using the above method for determining similar test conditions for the turbine, the efficiency modeled from the low operating condition and the efficiency modeled from the high operating condition at different operating points are very close, and the deviation between the two is kept within 0.27%.

[0139] Table 4 Comparison of efficiency deviation at 100% speed

[0140]

[0141] Table 5 Comparison of efficiency deviation at 90% speed

[0142]

[0143] Table 6 Comparison of efficiency deviation at 80% speed

[0144]

[0145] It should be noted that the turbine involved in the above method for determining similar test conditions of a turbine refers to a prototype turbine, and the model turbine refers to a model turbine for testing. Through relevant tests of the model turbine, relevant data of the corresponding prototype turbine can be predicted.

[0146] The following describes the device for determining turbine similarity test conditions provided by the present invention. The device for determining turbine similarity test conditions described below and the method for determining turbine similarity test conditions described above can be referenced to each other.

[0147] In one embodiment, Figure 9 As shown, a device 900 for determining turbine similarity test conditions is provided, including: an influencing parameter acquisition module 902, a candidate influencing parameter set acquisition module 904, a similarity test criterion acquisition module 906 and a turbine similarity test condition determination module 908, wherein: the influencing parameter acquisition module 902 is used to obtain the influencing parameters of the turbine similarity test conditions; the candidate influencing parameter set acquisition module 904 is used to screen the influencing parameters according to the number of basic quantities to obtain a candidate influencing parameter set; the similarity test criterion acquisition module 906 is used to process the candidate influencing parameters in the candidate influencing parameter set based on the basic quantities to obtain the similarity test criterion; the turbine similarity test condition determination module 908 is used to determine the turbine similarity test conditions based on the test similarity test criterion.

[0148] In one embodiment, the turbine similarity test condition determination module 908 includes: a first expansion ratio and first specific heat ratio acquisition unit and a second expansion ratio acquisition unit, wherein: the first expansion ratio and first specific heat ratio acquisition unit is used to obtain the first expansion ratio and the first specific heat ratio, the first expansion ratio is the expansion ratio of the turbine flow field, and the first specific heat ratio is the specific heat ratio of the turbine flow field; the second expansion ratio acquisition unit is used to obtain the second expansion ratio according to the isentropic work conditions of the turbine and the model turbine, using the first expansion ratio, the first specific heat ratio and the second specific heat ratio; wherein the second expansion ratio is the expansion ratio of the model turbine flow field; and the second specific heat ratio is the specific heat ratio of the model turbine fluid.

[0149] In one embodiment, the turbine similarity test condition determination module 908 is configured to process the first speed based on a first specific heat ratio and a second specific heat ratio to obtain a second speed; wherein the first speed is the turbine speed, the second speed is the speed of the model turbine, and the second specific heat ratio is the specific heat ratio of the model turbine fluid.

[0150] In one embodiment, the similarity test criterion obtaining module 906 is used to perform index processing on the basic quantity to obtain the index parameter corresponding to each candidate influencing parameter; and perform dimensionless processing on each candidate influencing parameter according to the index parameter to obtain the similarity test criterion.

[0151] In one embodiment, the device for determining turbine similarity test conditions is used to obtain simulation test data; the simulation test data includes the second expansion ratio and second efficiency data corresponding to the second expansion ratio; the second efficiency data is efficiency data of the model turbine;

[0152] The simulation test data is curve fitted to obtain a first simulation test efficiency curve; based on the reduced isentropic work condition, according to the second expansion ratio, the second specific heat ratio and the first specific heat ratio, the corresponding first expansion ratio is calculated, and the second efficiency data is determined as the corrected test data corresponding to the first expansion ratio; the first simulation test efficiency curve is adjusted using the corrected test data to obtain a second simulation test efficiency curve; wherein, the second simulation test efficiency curve is the efficiency curve corresponding to the turbine.

[0153] Figure 10 An example of a physical structure diagram of an electronic device is shown below. Figure 10 As shown, the electronic device may include: a processor 1010, a communications interface 1020, a memory 1030, and a communications bus 1040. The processor 1010, the communications interface 1020, and the memory 1030 communicate with each other via the communications bus 1040. The processor 1010 may invoke logic instructions in the memory 1030 to execute a method for determining turbine similarity test conditions. The method includes: obtaining influencing parameters of the turbine similarity test conditions; screening the influencing parameters based on the number of basic quantities to obtain a set of candidate influencing parameters; processing the candidate influencing parameters in the set of candidate influencing parameters based on the basic quantities to obtain similarity test criteria; and determining the turbine similarity test conditions based on the similarity test criteria.

[0154] In addition, the logic instructions in the above-mentioned memory 1030 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0155] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the method for determining the turbine similarity test conditions provided by the above methods, and the method includes: obtaining the influencing parameters of the turbine similarity test conditions; screening the influencing parameters according to the number of basic quantities to obtain a set of candidate influencing parameters; processing the candidate influencing parameters in the candidate influencing parameter set based on the basic quantities to obtain similarity test criteria; and determining the turbine similarity test conditions based on the similarity test criteria.

[0156] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned methods for determining turbine similarity test conditions, the methods comprising: obtaining influencing parameters of turbine similarity test conditions; screening the influencing parameters according to the number of basic quantities to obtain a set of candidate influencing parameters; processing the candidate influencing parameters in the candidate influencing parameter set based on the basic quantities to obtain similarity test criteria; and determining the turbine similarity test conditions based on the test similarity test criteria.

[0157] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0158] Through the description of the above embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, a server, or a network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for determining turbine similarity test conditions, characterized in that: include: Obtaining influencing parameters of similar test conditions of the turbine; Screening the influencing parameters according to the number of basic quantities to obtain a set of candidate influencing parameters; Based on the basic quantity, processing the candidate influencing parameters in the candidate influencing parameter set to obtain a similarity test criterion; Determining the turbine similarity test conditions based on the similarity test criteria; The similarity test criteria include the first expansion ratio or the second expansion ratio, and determining the turbine similarity test conditions based on the similarity test criteria includes: Obtaining the first expansion ratio and the first specific heat ratio, where the first expansion ratio is the expansion ratio of the turbine flow field and the first specific heat ratio is the specific heat ratio of the turbine flow field; According to the reduced isentropic work conditions of the turbine and the model turbine, the second expansion ratio is obtained using the first expansion ratio, the first specific heat ratio, and the second specific heat ratio; wherein the second expansion ratio is the expansion ratio of the model turbine flow field, and the second specific heat ratio is the specific heat ratio of the model turbine fluid; The similarity test criteria include the first speed or the second speed, and determining the turbine similarity test condition based on the similarity test criteria includes: Based on the first specific heat ratio and the second specific heat ratio, the first speed is processed to obtain the second speed; wherein the first speed is the turbine speed, the second speed is the speed of the model turbine, and the second specific heat ratio is the specific heat ratio of the model turbine fluid.

2. The method for determining turbine similarity test conditions according to claim 1, characterized in that: The processing of the candidate influencing parameters in the candidate influencing parameter set based on the basic quantity to obtain similarity test criteria includes: Performing index processing on the basic quantity to obtain index parameters corresponding to each candidate influencing parameter; According to the index parameter, each candidate influencing parameter is dimensionally processed to obtain a similarity test criterion.

3. The method for determining turbine similarity test conditions according to claim 1, characterized in that: The method further comprises: Acquire simulation test data; the simulation test data includes the second expansion ratio and second efficiency data corresponding to the second expansion ratio; the second efficiency data is efficiency data of the model turbine; Performing curve fitting on the simulation test data to obtain a first simulation test efficiency curve; Based on the reduced isentropic work condition, the corresponding first expansion ratio is calculated according to the second expansion ratio, the second specific heat ratio, and the first specific heat ratio, and the second efficiency data is determined as the corrected test data corresponding to the first expansion ratio; The first simulation test efficiency curve is adjusted using the corrected test data to obtain a second simulation test efficiency curve; wherein the second simulation test efficiency curve is an efficiency curve corresponding to the turbine.

4. A device for determining turbine similarity test conditions, characterized in that: include: An influencing parameter acquisition module, used to obtain influencing parameters of similar test conditions of the turbine; a candidate influencing parameter set obtaining module, configured to screen the influencing parameters according to the number of basic quantities to obtain a candidate influencing parameter set; A similarity test criterion obtaining module processes the candidate influencing parameters in the candidate influencing parameter set based on the basic quantity to obtain a similarity test criterion; a turbine similarity test condition determination module, configured to determine the turbine similarity test condition based on the similarity test criteria; Wherein, the turbine similarity test condition determination module includes: a first expansion ratio and first specific heat ratio obtaining unit, configured to obtain a first expansion ratio and a first specific heat ratio, wherein the first expansion ratio is the expansion ratio of the turbine flow field, and the first specific heat ratio is the specific heat ratio of the turbine flow field; a second expansion ratio obtaining unit, configured to obtain a second expansion ratio based on the reduced isentropic work conditions of the turbine and the model turbine, using the first expansion ratio, the first specific heat ratio, and the second specific heat ratio; wherein the second expansion ratio is the expansion ratio of the model turbine flow field; and the second specific heat ratio is the specific heat ratio of the model turbine fluid; The similarity test criteria include the first speed or the second speed, and the turbine similarity test condition determination module includes: The second speed obtaining unit is used to process the first speed based on the first specific heat ratio and the second specific heat ratio to obtain the second speed; wherein the first speed is the turbine speed, the second speed is the speed of the model turbine, and the second specific heat ratio is the specific heat ratio of the model turbine fluid.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method for determining turbine similarity test conditions according to any one of claims 1 to 3 are implemented.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for determining turbine similarity test conditions according to any one of claims 1 to 3 are implemented.

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