WO2023130998A1 - 涡轮进口温度的计算精度提高方法、系统及存储介质 - Google Patents
涡轮进口温度的计算精度提高方法、系统及存储介质 Download PDFInfo
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- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- the application belongs to the field of engines, and in particular relates to a method, system and storage medium for improving the calculation accuracy of turbine inlet temperature.
- An engine for example, an aeroengine
- an aeroengine is a highly complex and precise thermodynamic machine, and common aeroengines include piston aeroengines and gas turbine engines.
- the core machine of the engine is composed of a compressor, a combustion chamber, and a gas turbine that drives the compressor.
- the engine for example, an aeroengine
- a large number of tests need to be carried out.
- the working state of the engine and the working conditions of each component of the engine can be determined, and then the subsequent tests and improvements of the engine can be guided.
- the average temperature of the turbine inlet can reach above 2000K.
- the turbine inlet temperature is an important parameter to measure the performance index of the core machine and characterize the working state of the core machine, so the theoretical calculation of the turbine inlet temperature of the core machine can be carried out.
- the present application provides a method, system and storage medium for improving the calculation accuracy of the turbine inlet temperature.
- the present application provides a method for improving the calculation accuracy of the turbine inlet temperature, which includes the following steps:
- the least squares model is used to train the test data sample points of the core machine, and the multiple linear regression model of the turbine inlet temperature is obtained;
- the normalized sorting results of the main factors affecting the calculation of the turbine inlet temperature are obtained, and the core machine measurement equipment and measurement methods for obtaining the main factors are improved according to the sorting results.
- the above-mentioned method for improving the calculation accuracy of the turbine inlet temperature also includes the following steps: adding new test data sample points, and regenerating a multiple linear regression model to improve the prediction accuracy of the turbine inlet temperature of the core machine.
- T 4 f(P 1 ,T 1 ,P s1 ,A 1 ,T 3 ,W f ,H ⁇ , ⁇ b ,P s27 ,P s45 ,W cool ),
- T 4 represents the inlet temperature of the turbine of the core machine
- the influencing factors include measurement parameters and design parameters
- the measurement parameters include the total pressure P 1 of the inlet port of the core machine, the total temperature T 1 of the inlet port of the core machine, and the intake port of the core machine.
- the design parameters include aviation kerosene standard value H ⁇ , combustor combustion efficiency ⁇ b and turbine blade cooling gas ratio W cool .
- the sensitivity S(xi ) of the parameter xi to the turbine inlet temperature of the core machine is obtained as:
- the core machine turbine inlet temperature is calculated by using the theoretical calculation formula of the influencing factors and the core machine turbine inlet temperature;
- the least squares model is used to train the test data sample points of the core engine, and a multiple linear regression model of the turbine inlet temperature is obtained.
- the improvement methods of the core machine measurement equipment and measurement methods include: improving the processing accuracy of the sensor, regularly calibrating the sensor, carrying out three-dimensional flow field calculations, and considering the cross-sectional airflow when the probe layout Influence, sensor air tightness inspection before test run, adding measurement points in the radial and circumferential directions of the engine measurement section, and correcting the radial pressure by using the arc pressure Pa measurement results.
- the calculated turbine inlet temperature is used to evaluate engine performance and monitor engine test safety.
- the present application also provides a system for improving the calculation accuracy of the turbine inlet temperature, which includes a memory and a processor coupled to the memory, the processor is configured to The instructions in the memory execute the method for improving the calculation accuracy of the turbine inlet temperature described in any one of the above.
- the present application also provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the calculation accuracy of the turbine inlet temperature described in any one of the above is realized. Improve method.
- the method for improving the calculation accuracy of the turbine inlet temperature provided by the application is by establishing the theoretical calculation formula of the influencing factors and the turbine inlet temperature of the core machine, and determining the influence based on the theoretical calculation formula.
- the main factors of the calculation of the turbine inlet temperature and then normalize and sort the main factors through the multiple linear regression model obtained through training, so as to improve the core machine measurement equipment and measurement methods for obtaining the main factors according to the sorting results.
- Improve the measurement accuracy of each main factor and then improve the calculation accuracy of the turbine inlet temperature.
- the method for improving the calculation accuracy of the turbine inlet temperature provided by this application can effectively determine the main factors affecting the calculation accuracy of the turbine inlet temperature, so as to clearly guide the improvement direction of the core machine test plan, so as to obtain a more accurate turbine inlet temperature in the test run value.
- the method for improving the calculation accuracy of the turbine inlet temperature provided by this application is based on the existing test run data, and obtains the prediction of the working state parameters of the core machine in a higher state, which can reduce the risk of high state test run.
- FIG. 1 is a flow chart of a method for improving the calculation accuracy of a turbine inlet temperature provided by an embodiment of the present application.
- the core machine is a complex nonlinear system.
- the inventors of the present application discovered during the research and development process that the theoretical calculation of the turbine inlet temperature is related to multiple influencing factors. The given value will affect the accuracy of the calculation result of the turbine inlet temperature.
- the influencing factors include measurement parameters and design parameters, where the measurement parameters include the total pressure P 1 of the core engine inlet, the total temperature T 1 of the core engine inlet, the wall static pressure P s1 of the core engine inlet, the intake air channel area A 1 , total compressor outlet temperature T 3 , fuel oil quantity W f , static pressure of the bleed cavity of the intermediate stage of the compressor P s27 and static pressure of the outlet of the bleed cavity of the intermediate stage of the compressor P s45 ; the design parameters include aviation kerosene standard value H ⁇ , combustor combustion efficiency ⁇ b and turbine blade cooling gas ratio W cool .
- the method for improving the calculation accuracy of the turbine inlet temperature includes the following steps:
- T 4 f(H 4 ,W 4 ,W f ) (1)
- T 4 represents the turbine inlet temperature of the core machine
- H 4 represents the turbine inlet enthalpy
- W 4 represents the turbine inlet flow
- W f represents the fuel quantity, which can be measured during the test run.
- the turbine inlet enthalpy H4 is:
- Turbine inlet flow W 4 is:
- W 31 represents the air flow of the combustor participating in the combustion
- H 31 represents the outlet enthalpy of the combustor diffuser
- H 31 f(T 3 )
- T 3 represents the total outlet temperature of the compressor
- H ⁇ represents the standard value of aviation kerosene
- ⁇ b represents the combustion efficiency of the combustion chamber.
- the air flow W 31 of the combustion chamber participating in the combustion is:
- W 25 represents the inlet flow rate of the compressor
- W 27 ratio represents the ratio of bleed air flow in the middle stage of the compressor
- W cool represents the ratio of turbine blade cooling air, which is generally a relatively fixed value.
- the compressor inlet flow rate W 25 is:
- W 1 represents the inlet flow of the core machine
- P 1 represents the total pressure of the core machine inlet
- T 1 represents the total temperature of the core machine inlet
- P s1 represents the wall static pressure of the core machine inlet
- a 1 Indicates the intake area.
- W 27 proportion f(P s27 ,P s45 )/W 25 (6)
- P s27 represents the static pressure of the bleed cavity of the intermediate stage of the compressor
- P s45 represents the static pressure of the outlet of the bleed cavity of the intermediate stage of the compressor.
- T 4 f(P 1 ,T 1 ,P s1 ,A 1 ,T 3 ,W f ,H ⁇ , ⁇ b ,P s27 ,P s45 ,W cool ) (7)
- the sensitivity S(xi ) of the parameter xi to the turbine inlet temperature of the core machine is obtained as:
- the least squares model is used to train the core machine test data sample points to obtain the multiple linear regression model of the turbine inlet temperature.
- the specific process is as follows:
- the inlet temperature of the turbine of the core machine is calculated by using the influence factors and the theoretical calculation formula of the turbine inlet temperature of the core machine.
- step S33 Taking the main factors obtained after the processing in step S2 as input, and taking the turbine inlet temperature of the core machine as the response result, using the least squares model to train the test data sample points of the core machine to obtain a multiple linear regression model of the turbine inlet temperature.
- step S2 If there is a peak point of the turbine inlet temperature with a single influencing factor in step S2, the multiple linear regression model is split into two intervals with the peak point as a boundary.
- the main ways to improve the measurement equipment and measurement methods of the core machine include: improving the processing accuracy of the sensors, regularly calibrating the sensors, carrying out three-dimensional flow field calculations, considering the influence of the cross-sectional air flow in the layout of the probes, carrying out the air tightness inspection of the sensors before the test run, and Add measurement points in the radial and circumferential directions of the engine measurement section, and use the arc pressure Pa measurement results to correct the radial pressure.
- step S4 a more accurate turbine inlet temperature value is obtained to evaluate engine performance and monitor the safety of engine test run.
- step S3 The following steps are also included between the above step S3 and step S4:
- step S3 regenerate the multiple linear regression model to improve the prediction accuracy of the turbine inlet temperature of the core machine in a higher state.
- the embodiment of the present application also provides a system for improving the calculation accuracy of the turbine inlet temperature, which includes a memory and is coupled to the memory A processor, the processor is configured to execute the method for improving the calculation accuracy of the turbine inlet temperature in any one embodiment of the present application based on the instructions stored in the memory.
- the memory may be a system memory or a fixed non-volatile storage medium, and the system memory may store an operating system, an application program, a boot loader, a database, and other programs.
- the embodiment of the present application also provides a computer storage medium, which is a computer-readable storage medium, for example, a memory including a computer program, and the above computer program can be executed by a processor to complete any one of the present application.
- a computer storage medium which is a computer-readable storage medium, for example, a memory including a computer program, and the above computer program can be executed by a processor to complete any one of the present application.
- the above-mentioned embodiments of the present application may be implemented in various hardware, software codes or a combination of both.
- the embodiments of the present application may also represent program codes for executing the above method in a data signal processor.
- the present application may also relate to the various functions performed by computer processors, digital signal processors, microprocessors, or field programmable gate arrays.
- the processors described above may be configured in accordance with the present application to perform specific tasks by executing machine-readable software code or firmware code that defines the specific methods disclosed herein.
- the software code or firmware code may be developed to represent different programming languages and different formats or forms. It can also represent compiled software code for different target platforms. However, different code styles, types, and languages of software code and other types of configuration code for performing tasks according to the application do not depart from the spirit and scope of the application.
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Abstract
本申请提供了一种涡轮进口温度的计算精度提高方法、系统及存储介质,涡轮进口温度的计算精度提高方法包括:基于热平衡法建立影响因素与核心机涡轮进口温度的理论计算公式;基于理论计算公式对影响因素中的各参量分别进行敏感度计算,并根据计算结果确定影响涡轮进口温度计算的主要因素;根据理论计算公式和主要因素,采用最小二乘法模型训练核心机试车数据样本点,获得涡轮进口温度的多元线性回归模型;根据多元线性归回模型得到主要因素的归一化排序结果,并根据排序结果对获取主要因素的核心机测量设备和测量方式进行改进。本申请能够明确地指导核心机测试方案改进方向,获得试车中准确度较高的涡轮进口温度数值。
Description
本申请属于发动机领域,具体涉及一种涡轮进口温度的计算精度提高方法、系统及存储介质。
发动机(例如,航空发动机)是一种高度复杂和精密的热力机械,常见的航空发动机包括活塞式航空发动机和燃气涡轮发动机。在燃气涡轮发动机中,由压气机、燃烧室和驱动压气机的燃气涡轮组成发动机的核心机。
为了对发动机(例如,航空发动机)的设计情况进行验证,需要开展大量的试验,通过对试验结果的分析可以判定发动机的工作状态及发动机各部件的工作情况,进而指导发动机后续的试验及改进。
试验过程中,涡轮进口的平均温度能够达到2000K以上。然而,受限于目前的测试技术和测试方法,还无法在核心机试车过程中对涡轮的进口温度参量进行直接测量。而涡轮进口温度又是衡量核心机性能指标和表征核心机工作状态的重要参量,因此可以对核心机涡轮进口温度进行理论计算。
发明内容
为至少在一定程度上克服相关技术中存在的问题,本申请提供了一种涡轮进口温度的计算精度提高方法、系统及存储介质。
根据本申请实施例的第一方面,本申请提供了一种涡轮进口温度的计算精度提高方法,其包括以下步骤:
基于热平衡法建立影响因素与核心机涡轮进口温度的理论计算公式;
基于理论计算公式对影响因素中的各参量分别进行敏感度计算,并根据计算结果确定影响涡轮进口温度计算的主要因素;
根据理论计算公式和影响涡轮进口温度计算的主要因素,采用最小二乘法模型训练核心机试车数据样本点,获得涡轮进口温度的多元线性回归模型;
根据多元线性归回模型得到影响涡轮进口温度计算的主要因素的归一化排序结果,并根据排序结果对获取主要因素的核心机测量设备和测量方式进行改进。
上述涡轮进口温度的计算精度提高方法中,还包括以下步骤:增加新的试车数据样本点,重新生成多元线性回归模型,以提高核心机涡轮进口温度的预测精度。
上述涡轮进口温度的计算精度提高方法中,所述影响因素与核心机涡轮进口温度的理论计算公式为:
T
4=f(P
1,T
1,P
s1,A
1,T
3,W
f,H
μ,η
b,P
s27,P
s45,W
cool),
其中,T
4表示核心机涡轮进口温度;所述影响因素包括测量参量和设计参量,所述测量参量包括核心机进气道总压P
1、核心机进气道总温T
1、核心机进气道壁面静压P
s1、进气道面积A
1、压气机出口总温T
3、燃油量W
f、压气机中间级引气腔静压P
s27和压气机中间级引气腔出口腔静压P
s45;所述设计参量包括航空煤油标准值H
μ、燃烧室燃烧效率η
b和涡轮叶片冷却气量占比W
cool。
进一步地,所述基于理论计算公式对影响因素中的各参量分别进行敏感度计算,并根据计算结果确定影响涡轮进口温度计算的主要因素的具体过程为:
在预设的基准状态下,基于影响因素与核心机涡轮进口温度的理论计算公式,单独改变影响因素中的一个参量x
i,i=1,2,L,10,11,其余参量固定,得到该参量x
i对核心机涡轮进口温度的影响趋势及变化数值δT
4;
根据参量x
i对核心机涡轮进口温度的影响趋势及变化数值δT
4,得到该参量x
i对核心机涡轮进口温度的敏感度S(x
i)为:
判断敏感度S(x
i)是否小于敏感度阈值,并将敏感度大于或等于敏感度阈值的参量作为影响涡轮进口温度计算的主要因素。
更进一步地,所述获得涡轮进口温度的多元线性回归模型的具体过程为:
在核心机试车中获取各测量参量的测量结果,并确定各设计参量的数值;
根据各测量参量的测量结果和各设计参量的数值,采用影响因素与核心机涡轮进口温度的理论计算公式,计算得到核心机涡轮进口温度;
将影响涡轮进口温度计算的主要因素作为输入量,将核心机涡轮进口温度作为响应结果,采用最小二乘法模型训练核心机试车数据样本点,得到涡轮进口温度的多元线性回归模型。
上述涡轮进口温度的计算精度提高方法中,所述核心机测量设备和测量方式的改进方式包括:提高传感器的加工精度、对传感器进行定期校准、开展三维流场计算,探针布局时考虑截面气流影响、试车前开展传感器气密性检查、在发动机测量截面径向和周向上增加测量点、采用弧形压力帕测量结果修正径向压力。
上述涡轮进口温度的计算精度提高方法中,计算得到的所述涡轮进口温度用于评价发动机性能,监测发动机试车安全。
根据本申请实施例的第二方面,本申请还提供了一种涡轮进口温度的计算精度提高系统,其包括存储器以及耦接至所述存储器的处理器,所述处理器被配置为基于存储在所述存储器中的指令,执行上述任一项所述的涡轮进口温度的计算精度提高方法。
根据本申请实施例的第三方面,本申请还提供了一种存储介质,其上存储有计算机程序,所述计算机程序被处理器执行时实现上述任一项所述的涡轮进口温度的计算精度提高方法。
根据本申请的上述具体实施方式可知,至少具有以下有益效果:本申请提供的涡轮进口温度的计算精度提高方法通过建立影响因素与核心机涡轮进口温度的理论计算公式,并基于理论计算公式确定影响涡轮进口温度计算的主要因素,进而通过训练得到的多元线性回归模型对各主要因素进行归一化排序,从而根据排序结果有针对性地对获取主要因素的核心机测量设备和测量方式进行改进,提高各主要因素的测量精度,进而提高涡轮进口温度的计算精度。
本申请提供的涡轮进口温度的计算精度提高方法能够有效地确定影响涡轮进口温度的计算精度的主要因素,从而明确的指导核心机测试方案改进方向,以获得试车中准确度较高的涡轮进口温度数值。
本申请提供的涡轮进口温度的计算精度提高方法基于现有试车数据,获得更高状态核心机工作状态参数预测,能够减少高状态试车风险。
应了解的是,上述一般描述及以下具体实施方式仅为示例性及阐释性的,其并不能限制本申请所欲主张的范围。
下面的所附附图是本申请的说明书的一部分,其示出了本申请的实施例,所附附图与说明书的描述一起用来说明本申请的原理。
图1为本申请实施例提供的一种涡轮进口温度的计算精度提高方法的流程图。
为使本申请实施例的目的、技术方案和优点更加清楚明白,下面将以附图及详细叙述清楚说明本申请所揭示内容的精神,任何所属技术领域技术人员在了解本申请内容的实施例后,当可由本申请内容所教示的技术,加以改变及修饰,其并不脱离本申请内容的精神与范围。
本申请的示意性实施例及其说明用于解释本申请,但并不作为对本申请的限定。另外,在附图及实施方式中所使用相同或类似标号的元件/构件是用来代表相同或类似部分。
关于本文中所使用的“第一”、“第二”、…等,并非特别指称次序或顺位的意思,也非用以限定本申请,其仅为了区别以相同技术用语描述的元件或操作。
关于本文中所使用的“包含”、“包括”、“具有”、“含有”等等,均为开放性的用语,即意指包含但不限于。
关于本文中所使用的“及/或”,包括所述事物的任一或全部组合。
关于本文中的“多个”包括“两个”及“两个以上”;关于本文中的“多组”包 括“两组”及“两组以上”。
某些用以描述本申请的用词将于下或在此说明书的别处讨论,以提供本领域技术人员在有关本申请的描述上额外的引导。
核心机是个复杂的非线性系统,本申请发明人在研发过程中发现,涡轮进口温度理论计算与多个影响因素有关,这些影响因素需要在试车中进行测量或基于经验给定,而测量状态或给定值将影响涡轮进口温度的计算结果的准确性。
具体地,影响因素包括测量参量和设计参量,其中,测量参量包括核心机进气道总压P
1、核心机进气道总温T
1、核心机进气道壁面静压P
s1、进气道面积A
1、压气机出口总温T
3、燃油量W
f、压气机中间级引气腔静压P
s27和压气机中间级引气腔出口腔静压P
s45;设计参量包括航空煤油标准值H
μ、燃烧室燃烧效率η
b和涡轮叶片冷却气量占比W
cool。
如图1所示,本申请实施例提供的涡轮进口温度的计算精度提高方法包括以下步骤:
S1、基于热平衡法建立影响因素与核心机涡轮进口温度的理论计算公式。
其中,核心机涡轮进口温度的理论计算公式为:
T
4=f(H
4,W
4,W
f) (1)
式(1)中,T
4表示核心机涡轮进口温度;H
4表示涡轮进口焓;W
4表示涡轮进口流量;W
f表示燃油量,在试车中可以测量得到。
其中,涡轮进口焓H
4为:
涡轮进口流量W
4为:
W
4=W
31+W
f (3)
式(2)和式(3)中,W
31表示燃烧室参与燃烧的空气流量;H
31表示燃烧室扩压器出口焓,H
31=f(T
3),T
3表示压气机出口总温;H
μ表示航空煤 油标准值;η
b表示燃烧室燃烧效率。
其中,燃烧室参与燃烧的空气流量W
31为:
W
31=W
25*(1-W
27占比-W
cool) (4)
式(4)中,W
25表示压气机进口流量,W
27占比表示压气机中间级引气流量占比,W
cool表示涡轮叶片冷却气量占比,其一般为相对固定数值。
其中,压气机进口流量W
25为:
W
25=W
1=f(P
1,T
1,P
s1,A
1) (5)
式(5)中,W
1表示核心机进口流量,P
1表示核心机进气道总压,T
1表示核心机进气道总温;P
s1表示核心机进气道壁面静压,A
1表示进气道面积。
压气机中间级引气流量占比W
27占比为:
W
27占比=f(P
s27,P
s45)/W
25 (6)
式(6)中,P
s27表示压气机中间级引气腔静压;P
s45表示压气机中间级引气腔出口腔静压。
根据式(1)~式(6)可以得到影响因素与核心机涡轮进口温度的理论计算公式为:
T
4=f(P
1,T
1,P
s1,A
1,T
3,W
f,H
μ,η
b,P
s27,P
s45,W
cool) (7)
S2、基于理论计算公式对影响因素中的各参量分别进行敏感度计算,并根据计算结果确定影响涡轮进口温度计算的主要因素,其具体过程为:
S21、在预设的基准状态下,基于影响因素与核心机涡轮进口温度的理论计算公式,单独改变影响因素中的一个参量x
i,i=1,2,L,10,11,其余参量固定,得到该参量x
i对核心机涡轮进口温度的影响趋势及变化数值δT
4。
S22、根据参量x
i对核心机涡轮进口温度的影响趋势及变化数值δT
4,得到该参量x
i对核心机涡轮进口温度的敏感度S(x
i)为:
S23、判断敏感度S(x
i)是否小于敏感度阈值,如果是,则表示该参量对涡轮进口温度计算的影响较小,忽略该参量的影响;否则,表示该参量对涡 轮进口温度计算的影响较大,将该参量作为影响涡轮进口温度计算的主要因素。
S3、根据理论计算公式和影响涡轮进口温度计算的主要因素,采用最小二乘法模型训练核心机试车数据样本点,获得涡轮进口温度的多元线性回归模型,其具体过程为:
S31、在核心机试车中获取各测量参量的测量结果,并确定各设计参量的数值。
S32、根据各测量参量的测量结果和各设计参量的数值,采用影响因素与核心机涡轮进口温度的理论计算公式,计算得到核心机涡轮进口温度。
S33、将经过步骤S2处理后得到的主要因素作为输入量,将核心机涡轮进口温度作为响应结果,采用最小二乘法模型训练核心机试车数据样本点,得到涡轮进口温度的多元线性回归模型。
如果步骤S2中存在涡轮进口温度随单影响因素的峰值点,则以该峰值点为界将多元线性回归模型拆分成两个区间。
S4、根据多元线性归回模型得到影响涡轮进口温度计算的主要因素的归一化排序结果,并根据排序结果有针对性地对获取主要因素的核心机测量设备和测量方式进行改进,以提高测量精度,进而提高涡轮进口温度的计算精度。
核心机测量设备和测量方式的主要改进方式包括:提高传感器的加工精度、对传感器进行定期校准、开展三维流场计算,探针布局时考虑截面气流影响、试车前开展传感器气密性检查、在发动机测量截面径向和周向上增加测量点、采用弧形压力帕测量结果修正径向压力。
对于未测量参数,通过改装方式或部件、系统试验中获得。
通过步骤S4获得准确度更高的涡轮进口温度数值,评价发动机性能,监测发动机试车安全。
在上述步骤S3与步骤S4之间还包括以下步骤:
随着试车的开展,增加新的试车数据样本点,采用步骤S3重新生成多元 线性回归模型,以提高更高状态下核心机涡轮进口温度的预测精度。
在示例性实施例中,基于本申请实施例提供的涡轮进口温度的计算精度提高方法,本申请实施例还提供了一种涡轮进口温度的计算精度提高系统,其包括存储器以及耦接至该存储器的处理器,处理器被配置为基于存储在存储器中的指令,执行本申请中任一个实施例中的涡轮进口温度的计算精度提高方法。
其中,存储器可以为系统存储器或固定非易失性存储介质等,系统存储器可以存储有操作系统、应用程序、引导装载程序、数据库以及其他程序等。
需要说明的是,上述实施例提供的涡轮进口温度的计算精度提高系统与涡轮进口温度的计算精度提高方法实施例属于同一构思,其具体实现过程详见方法实施例,这里不再赘述。
在示例性实施例中,本申请实施例还提供了一种计算机存储介质,是计算机可读存储介质,例如,包括计算机程序的存储器,上述计算机程序可由处理器执行,以完成本申请中任一个实施例中的涡轮进口温度的计算精度提高方法。
上述的本申请实施例可在各种硬件、软件编码或两者组合中进行实施。例如,本申请的实施例也可表示在数据信号处理器中执行上述方法的程序代码。本申请也可涉及计算机处理器、数字信号处理器、微处理器或现场可编程门阵列执行的多种功能。可根据本申请配置上述处理器执行特定任务,其通过执行定义了本申请揭示的特定方法的机器可读软件代码或固件代码来完成。可将软件代码或固件代码发展表示不同的程序语言与不同的格式或形式。也可表示不同的目标平台编译软件代码。然而,根据本申请执行任务的软件代码与其他类型配置代码的不同代码样式、类型与语言不脱离本申请的精神与范围。
以上所述仅为本申请示意性的具体实施方式,在不脱离本申请的构思和原则的前提下,任何本领域的技术人员所做出的等同变化与修改,均应属于本申请保护的范围。
Claims (9)
- 一种涡轮进口温度的计算精度提高方法,其特征在于,包括以下步骤:基于热平衡法建立影响因素与核心机涡轮进口温度的理论计算公式;基于理论计算公式对影响因素中的各参量分别进行敏感度计算,并根据计算结果确定影响涡轮进口温度计算的主要因素;根据理论计算公式和影响涡轮进口温度计算的主要因素,采用最小二乘法模型训练核心机试车数据样本点,获得涡轮进口温度的多元线性回归模型;根据多元线性归回模型得到影响涡轮进口温度计算的主要因素的归一化排序结果,并根据排序结果对获取主要因素的核心机测量设备和测量方式进行改进。
- 根据权利要求1所述的涡轮进口温度的计算精度提高方法,其特征在于,还包括以下步骤:增加新的试车数据样本点,重新生成多元线性回归模型,以提高核心机涡轮进口温度的预测精度。
- 根据权利要求1或2所述的涡轮进口温度的计算精度提高方法,其特征在于,所述影响因素与核心机涡轮进口温度的理论计算公式为:T 4=f(P 1,T 1,P s1,A 1,T 3,W f,H μ,η b,P s27,P s45,W cool),其中,T 4表示核心机涡轮进口温度;所述影响因素包括测量参量和设计参量,所述测量参量包括核心机进气道总压P 1、核心机进气道总温T 1、核心机进气道壁面静压P s1、进气道面积A 1、压气机出口总温T 3、燃油量W f、压气机中间级引气腔静压P s27和压气机中间级引气腔出口腔静压P s45;所述设计参量包括航空煤油标准值H μ、燃烧室燃烧效率η b和涡轮叶片冷却气量占比W cool。
- 根据权利要求3所述的涡轮进口温度的计算精度提高方法,其特征在于,所述基于理论计算公式对影响因素中的各参量分别进行敏感度计算,并根据计算结果确定影响涡轮进口温度计算的主要因素的具体过程为:在预设的基准状态下,基于影响因素与核心机涡轮进口温度的理论计算公式,单独改变影响因素中的一个参量x i,i=1,2,L,10,11,其余参量固定,得到该参量x i对核心机涡轮进口温度的影响趋势及变化数值δT 4;根据参量x i对核心机涡轮进口温度的影响趋势及变化数值δT 4,得到该参量x i对核心机涡轮进口温度的敏感度S(x i)为:判断敏感度S(x i)是否小于敏感度阈值,并将敏感度大于或等于敏感度阈值的参量作为影响涡轮进口温度计算的主要因素。
- 根据权利要求3所述的涡轮进口温度的计算精度提高方法,其特征在于,所述获得涡轮进口温度的多元线性回归模型的具体过程为:在核心机试车中获取各测量参量的测量结果,并确定各设计参量的数值;根据各测量参量的测量结果和各设计参量的数值,采用影响因素与核心机涡轮进口温度的理论计算公式,计算得到核心机涡轮进口温度;将影响涡轮进口温度计算的主要因素作为输入量,将核心机涡轮进口温度作为响应结果,采用最小二乘法模型训练核心机试车数据样本点,得到涡轮进口温度的多元线性回归模型。
- 根据权利要求1或2所述的涡轮进口温度的计算精度提高方法,其特征在于,所述核心机测量设备和测量方式的改进方式包括:提高传感器的加工精度、对传感器进行定期校准、开展三维流场计算,探针布局时考虑截面气流影响、试车前开展传感器气密性检查、在发动机测量截面径向和周向上增加测量点、采用弧形压力帕测量结果修正径向压力。
- 根据权利要求1所述的涡轮进口温度的计算精度提高方法,其特征在于,计算得到的所述涡轮进口温度用于评价发动机性能,监测发动机试车安全。
- 一种涡轮进口温度的计算精度提高系统,其特征在于,包括存储器以及耦接至所述存储器的处理器,所述处理器被配置为基于存储在所述存储器中的指令,执行如权利要求1-7任一项所述的涡轮进口温度的计算精度提高方法中的步骤。
- 一种计算机存储介质,其特征在于,其上存储有计算机程序,所述 计算机程序被处理器执行时实现权利要求1-8中任一项所述涡轮进口温度的计算精度提高方法中的步骤。
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101622437A (zh) * | 2007-03-06 | 2010-01-06 | 通用汽车环球科技运作公司 | 用于估计内燃机的排气温度的方法和设备 |
CN108457750A (zh) * | 2018-03-07 | 2018-08-28 | 贵州凯阳航空发动机有限公司 | 一种航空发动机高空高速下涡轮后温度控制值的获取方法 |
CN109282916A (zh) * | 2018-08-06 | 2019-01-29 | 深圳信息职业技术学院 | 预测双燃料发动机活塞表面最高温度的方法和装置 |
CN111159844A (zh) * | 2019-12-02 | 2020-05-15 | 中国电建集团江西省电力设计院有限公司 | 一种电站燃气轮机排气温度的异常检测方法 |
CN111639401A (zh) * | 2020-05-13 | 2020-09-08 | 中国航发贵阳发动机设计研究所 | 一种用涡轮后温度场计算涡轮前温度场的方法 |
US20210062673A1 (en) * | 2019-08-26 | 2021-03-04 | Pratt & Whitney Cananda Corp. | System and method for monitoring temperature of a gas turbine engine |
CN113107675A (zh) * | 2021-04-28 | 2021-07-13 | 中国航发沈阳发动机研究所 | 一种基于功率平衡的核心机涡轮前温度确定方法 |
CN114519298A (zh) * | 2022-01-05 | 2022-05-20 | 蓝箭航天技术有限公司 | 涡轮进口温度的计算精度提高方法、系统及存储介质 |
-
2022
- 2022-01-05 CN CN202210003680.7A patent/CN114519298A/zh active Pending
- 2022-12-27 WO PCT/CN2022/142303 patent/WO2023130998A1/zh unknown
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101622437A (zh) * | 2007-03-06 | 2010-01-06 | 通用汽车环球科技运作公司 | 用于估计内燃机的排气温度的方法和设备 |
CN108457750A (zh) * | 2018-03-07 | 2018-08-28 | 贵州凯阳航空发动机有限公司 | 一种航空发动机高空高速下涡轮后温度控制值的获取方法 |
CN109282916A (zh) * | 2018-08-06 | 2019-01-29 | 深圳信息职业技术学院 | 预测双燃料发动机活塞表面最高温度的方法和装置 |
US20210062673A1 (en) * | 2019-08-26 | 2021-03-04 | Pratt & Whitney Cananda Corp. | System and method for monitoring temperature of a gas turbine engine |
CN111159844A (zh) * | 2019-12-02 | 2020-05-15 | 中国电建集团江西省电力设计院有限公司 | 一种电站燃气轮机排气温度的异常检测方法 |
CN111639401A (zh) * | 2020-05-13 | 2020-09-08 | 中国航发贵阳发动机设计研究所 | 一种用涡轮后温度场计算涡轮前温度场的方法 |
CN113107675A (zh) * | 2021-04-28 | 2021-07-13 | 中国航发沈阳发动机研究所 | 一种基于功率平衡的核心机涡轮前温度确定方法 |
CN114519298A (zh) * | 2022-01-05 | 2022-05-20 | 蓝箭航天技术有限公司 | 涡轮进口温度的计算精度提高方法、系统及存储介质 |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118036342A (zh) * | 2024-04-11 | 2024-05-14 | 中国航发四川燃气涡轮研究院 | 一种基于试验状态的压气机盘心气流温度预测方法 |
CN118036342B (zh) * | 2024-04-11 | 2024-06-18 | 中国航发四川燃气涡轮研究院 | 一种基于试验状态的压气机盘心气流温度预测方法 |
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