CN113376216A - Solid engine grain health monitoring and life evaluation method - Google Patents

Solid engine grain health monitoring and life evaluation method Download PDF

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CN113376216A
CN113376216A CN202110555584.9A CN202110555584A CN113376216A CN 113376216 A CN113376216 A CN 113376216A CN 202110555584 A CN202110555584 A CN 202110555584A CN 113376216 A CN113376216 A CN 113376216A
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aging
engine
impedance
confidence
pzt
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CN113376216B (en
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段磊光
王学仁
强洪夫
王哲君
王广
邹子杰
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Rocket Force University of Engineering of PLA
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    • G—PHYSICS
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    • G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
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Abstract

A solid engine grain health monitoring and life assessment method belongs to the field of engine monitoring and is characterized in that a PZT sensor is used for measuring a charge coupling electromechanical impedance frequency spectrum embedded in an interface and analyzing the change of the charge coupling electromechanical impedance frequency spectrum along with charge aging so as to analyze aging characteristics, and a statistical method is used for primarily assessing the life of an engine grain by monitoring the change of the engine grain impedance RMSD along with thermal aging change.

Description

Solid engine grain health monitoring and life evaluation method
Technical Field
The invention belongs to the field of engine monitoring, and particularly relates to a solid engine grain health monitoring and life evaluation method.
Background
The solid propellant grain is the main part for monitoring and detecting the health of a solid engine, and during the storage process, due to the oxidative crosslinking of the propellant, the change of the modulus of the grain can cause stress failure, which can possibly cause the grain to generate air holes and cracks. These defects or damages may cause the solid rocket engine to increase the combustion area during combustion, thereby threatening the safety of the engine itself. Because the solid engine can only be used once, the health detection means usually adopts nondestructive detection, and the current commonly used structural damage detection methods comprise: ray computed tomography (industrial CT technology), ultrasonic detection, electromagnetic ultrasonic detection, laser holographic detection, infrared methods, and the like. However, these methods cannot be applied on site in actual installation because the equipment used is generally large, expensive and expensive to maintain. In the prior art, an aging model can be established through a nonlinear viscoelastic-viscoelastic finite element method and a dynamic mechanical property main curve to predict the service life of a solid engine. However, the nonlinear viscoelastic-viscoelastic finite element method and the dynamic mechanical property main curve for life prediction need to perform mechanical property experiments outside on micro-damage tablet making and medicine digging and square billet making, and the methods can damage the structure of a medicine column and finally cause the performance of an engine to be reduced or even fail. The fiber bragg grating sensor and the bonding stress temperature sensor work based on a passive monitoring system, and strain drift or signal loss can be caused due to the long-term existence of the adhesive force between an instrument and a structure and the adverse effect of environmental change on the connection of electric wires, so that the sensors have great difficulty in long-term monitoring of the structure under various environmental conditions.
The electromechanical impedance method is a nondestructive testing method, a piezoelectric transducer (PZT) is used as an exciter and a sensor, and a monitoring system adopts an active monitoring method, so that real-time online monitoring can be carried out in required time without continuous monitoring, and the monitoring has higher pertinence. However, the electromechanical impedance method is generally used for analyzing the damage condition inside the structure and cannot be related to the aging state and the service life of the grain structure of the solid rocket engine.
Disclosure of Invention
The invention aims to solve the problems and provides a solid engine grain health monitoring and life evaluation method.
The invention relates to a solid engine grain health monitoring and life evaluation method, which comprises the following steps:
firstly, coating a lining on the inner surface of a heat insulating layer of an engine and adhering N PZT sensors to different positions of the lining when the inner surface of the heat insulating layer of the engine reaches a semi-solidified state, and numbering to construct a sensor array; then, manually coating and packaging the conductor part of the sensor by using lining slurry, and pouring to establish a solid engine grain aging monitoring system; step two, collecting original admittance data; the electromechanical coupling impedance of a sensitive frequency band is determined by setting n sampling points and adopting broadband test acquisition;
step three, vertically storing the engine in a high-temperature test environment, sampling according to the required j (j is 1,2,3 … m) th aging time interval, and measuring the electromechanical impedance at the same environment temperature; until the aging is finished, the N PZT sensors respectively have m +1 groups of impedance data;
step four, measuring the impedance change degree of the PZT sensor before and after aging by adopting a root mean square index (RMSD) for the impedance data of the same PZT sensor;
step five, obtaining the mean value mu of the admittance RMSD of the N PZT sensors of the jth aging point, wherein the standard deviation is sigma, and obtaining the confidence upper limit
Figure BDA0003077085570000021
Lower confidence limit
Figure BDA0003077085570000022
Fitting the confidence upper limit and the confidence lower limit of each aging point by adopting a function with a high judgment coefficient to obtain a confidence upper limit and confidence lower limit curve;
and step six, according to the corresponding relation between the engine grain electromechanical impedance value RMSD and the aging time, the engine grain electromechanical impedance value RMSD corresponds to two aging points on the upper confidence limit and the lower limit curve, and the service life of the engine grain is between the two aging times.
Further, according to the solid engine grain health monitoring and service life assessment method, before the original admittance data are collected in the second step, the newly poured charge is used as an initial state of 0 day after being cured, and the engine is placed at the thermal accelerated aging temperature for 24 hours for data collection.
Further, according to the solid engine grain health monitoring and life evaluation method, the root mean square index RMSD is in the form of:
Figure BDA0003077085570000023
wherein n is the number of frequency points, xiAnd yi(i-1, 2,3 …, n) is the real impedance of the PZT before and after aging of the engine charge for each frequency.
Further, according to the solid engine grain health monitoring and life evaluation method, the aging model establishment condition in the fifth step is that the confidence probability is 80%.
Further, according to the solid engine grain health monitoring and life evaluation method, in the second step, the frequency of the sensitive frequency band is 100k-300 kHz.
Further, the solid engine grain health monitoring and life evaluation method of the invention, the solid engine grain aging monitoring system comprises a PZT sensor, an impedance analyzer and a monitoring computer; the PZT sensor is electrically connected with the impedance analysis instrument through a lead; the impedance analyzer is connected with the monitoring computer.
The solid engine grain health monitoring and life evaluation method provided by the invention has the advantages that the PZT sensor is used for measuring the impedance spectrum of the charge coupled machine embedded in the interface and analyzing the change of the impedance spectrum along with the charge aging so as to analyze the aging characteristic, and the statistical method is used for primarily evaluating the life of the engine grain by monitoring the change of the impedance RMSD of the engine grain along with the thermal aging change.
Drawings
FIG. 1 is a schematic flow chart of a method for health monitoring and life evaluation of a charge of a solid engine according to an embodiment of the present invention;
FIG. 2 is a schematic cross-sectional position view of a PZT sensor mounted to an engine according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the number and location of PZT sensors on a cross-section of an engine according to an embodiment of the present invention;
FIG. 4 is a graph illustrating upper and lower confidence limits according to an embodiment of the present invention;
wherein, the device comprises a shell 1, a drug column 2, a PZT sensor 3, a heat insulating layer 4 and a lining 5.
Detailed Description
The method for monitoring the health of the charge of the solid engine and evaluating the life of the charge of the solid engine is described in detail by the accompanying drawings and the embodiments.
The solid engine grain health monitoring and life evaluation method of the embodiment of the disclosure, as shown in fig. 1, includes the following steps:
firstly, coating a lining 5 on the inner surface of an engine heat-insulating layer 4 and pasting N PZT sensors 3 at different positions of the lining 5 when the lining 5 reaches a semi-solidified state, and numbering to construct a sensor array; then, manually brushing and packaging the lead wire part of the sensor by using the slurry of the lining layer 5, and pouring to establish an aging monitoring system of the solid engine powder column 2;
step two, collecting original admittance data; the electromechanical coupling impedance of a sensitive frequency band is determined by setting n sampling points and adopting broadband test acquisition; before the original admittance data are collected, the newly poured charge is solidified to be used as an initial state of 0 day, and the engine is placed for 24 hours at the thermal accelerated aging temperature for data collection; the frequency of the sensitive frequency band is 100k-300 kHz;
step three, vertically storing the engine in a high-temperature test environment, sampling according to the required j (j is 1,2,3 … m) th aging time interval, and measuring the electromechanical impedance at the same environment temperature; until the aging is finished, the N PZT sensors 3 respectively have m +1 groups of impedance data;
step four, for the impedance data of the same PZT sensor 3, the root mean square index RMSD is adopted to measure the impedance change degree of the PZT sensor 3 before and after aging; the root mean square index RMSD is in the form:
Figure BDA0003077085570000041
wherein n is the number of frequency points, xiAnd yi(i is 1,2,3 …, n) is the real impedance part of PZT before and after aging of the charge 2 of each frequency engine;
step five, obtaining the mean value mu of the N PZT sensors 3 admittance RMSD of the jth aging point, wherein the standard deviation is sigma, and obtaining the confidence upper limit
Figure BDA0003077085570000042
Lower confidence limit
Figure BDA0003077085570000043
Fitting the confidence upper limit and the confidence lower limit of each aging point by adopting a function with a high judgment coefficient to obtain a confidence upper limit and confidence lower limit curve; the model establishment condition of the aging is that the confidence probability is 80 percent;
and step six, according to the corresponding relation between the engine grain electromechanical impedance value RMSD and the aging time, the engine grain electromechanical impedance value RMSD corresponds to two aging points on the upper confidence limit and the lower limit curve, and the service life of the engine grain is between the two aging points.
In the disclosed embodiment, the solid engine is a round tube engine; the engine shell 1 is the steel construction, and the powder charge adopts HTPB propellant powder charge for the engine of certain model, and 1 internal diameter of casing is 200mm, and length is 540mm, contains heat insulation layer 4, lining 5 and butyl hydroxy propellant, and the manual debonding is established to the front end, and degree of depth 90mm, 2 hole diameters 20mm of powder column. According to the process specification, the raw materials are weighed through sand blasting, heat insulation and lining layer brushing 5; in the embodiment of the present disclosure, the #1 to #7 PZT sensors 3 are rationally arranged at each part of the engine. In the embodiment of the disclosure, the engine is divided into 3 sections in total and is provided with a PZT sensor 3, and the positions of three radial sections (i), (ii) and (iii) are shown in figure 2; the specific sensor mounting sequence and position of the 3 sections is shown in fig. 3.
And selecting the electromechanical coupling impedance real part data of the 100k-300kHz test frequency band as the acquisition characterization information. To control the temperature error on electromechanical impedance measurements, the round tube engine was placed in an oven at 60 ℃ for 24 hours prior to testing. And taking out the engine, immediately measuring at the ambient temperature of 20 ℃, and taking the measurement result as the experimental data of the aging origin.
The circular tube engine is vertically stored in an accelerated aging test box at 60 ℃, samples are taken at time intervals of 24 days, 43 days, 83 days, 109 days and 151 days, and the electromechanical coupling impedance of the circular tube engine is rapidly measured in an aging origin measuring mode under the environment of 20 ℃ each time. Immediately, the engine is put into an aging box for thermal aging at the next time point.
For the same PZT impedance data, the root mean square index RMSD is adopted to measure the change degree of the real part of the PZT impedance before and after aging, and impedance RMSD values of PZT numbers from #1 to #7 at each aging point are calculated, as shown in Table 1:
TABLE 1 #1- #7 PZT impedances RMSD at various aging points
Figure BDA0003077085570000051
The mean value mu of the 7 PZT admittances RMSD at each aging point is obtained, the standard deviation is sigma, the confidence probability is 80 percent under the condition that the aging model is established, and the confidence upper limit can be obtained
Figure BDA0003077085570000052
Lower confidence limit
Figure BDA0003077085570000053
Fitting the confidence upper limit and the confidence lower limit of each aging point by adopting a quadratic polynomial; a curve of upper and lower confidence limits was obtained, as shown in table 2 below and in fig. 4.
TABLE 2 fitting relation between real PZT impedance parts RMSD and thermal aging time
Figure BDA0003077085570000054
When the real impedance part RMSD of a certain point of the engine grain 2 is known, the real impedance part RMSD can be substituted into a relational expression of a lower limit and an upper limit of confidence to obtain t1 and t2, namely corresponding upper limit and lower limit aging time, so that the service life of the engine grain 2 is preliminarily estimated; it can be seen that as the aging time increases, the larger the range of the estimated engine life of the model is, the lower the accuracy is, so that the impedance real part RMSD corresponding value 25.2523 with the longest time of the lower confidence limit for 151 days can be taken and substituted into the upper confidence interval relation, the maximum deviation value of the estimated life can be obtained for 23.58 days, and the error is 15.61%.

Claims (6)

1. A solid engine grain health monitoring and life evaluation method is characterized by comprising the following steps:
firstly, coating a lining on the inner surface of a heat insulating layer of an engine and adhering N PZT sensors to different positions of the lining when the inner surface of the heat insulating layer of the engine reaches a semi-solidified state, and numbering to construct a sensor array; then, manually coating and packaging the conductor part of the sensor by using lining slurry, and pouring to establish a solid engine grain aging monitoring system;
step two, collecting original admittance data: the electromechanical coupling impedance of a sensitive frequency band is determined by setting n sampling points and adopting broadband test acquisition;
step three, vertically storing the engine in a high-temperature test environment, sampling according to the required j (j is 1,2,3 … m) th aging time interval, and measuring the electromechanical impedance at the same environment temperature; until the aging is finished, the N PZT sensors respectively have m +1 groups of impedance data;
step four, measuring the impedance change degree of the PZT sensor before and after aging by adopting a root mean square index (RMSD) for the impedance data of the same PZT sensor;
step five, obtaining the mean value mu of the admittance RMSD of the N PZT sensors of the jth aging point, wherein the standard deviation is sigma, and obtaining the confidence upper limit
Figure FDA0003077085560000011
Lower confidence limit
Figure FDA0003077085560000012
Fitting the confidence upper limit and the confidence lower limit of each aging point by adopting a function with a high judgment coefficient to obtain a confidence upper limit and confidence lower limit curve;
and step six, according to the corresponding relation between the engine grain electromechanical impedance value RMSD and the aging time, the engine grain electromechanical impedance value RMSD corresponds to two aging points on the upper confidence limit and the lower limit curve, and the service life of the engine grain is between the two aging points.
2. The solid engine grain health monitoring and life assessment method of claim 1, wherein: and step two, before the original admittance data are collected, the newly poured charge is used as an initial state of 0 day after being cured, and the engine is placed at the thermal accelerated aging temperature for 24 hours for data collection.
3. The solid engine grain health monitoring and life assessment method of claim 2, wherein: the root mean square index RMSD is in the form:
Figure FDA0003077085560000013
wherein n is the number of frequency points, xiAnd yi(i-1, 2,3 …, n) is the real impedance of the PZT before and after aging of the engine charge for each frequency.
4. The solid engine grain health monitoring and life assessment method of claim 3, wherein: and fifthly, the aging model is satisfied under the condition that the confidence probability is 80%.
5. The solid engine grain health monitoring and life assessment method of claim 4, wherein: and step two, the frequency of the sensitive frequency band is 100k-300 kHz.
6. The solid engine grain health monitoring and life assessment method according to claim 1 or 5, characterized in that: the solid engine grain aging monitoring system comprises a PZT sensor, an impedance analyzer and a monitoring computer; the PZT sensor is electrically connected with the impedance analysis instrument through a lead; the impedance analyzer is connected with the monitoring computer.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108021730A (en) * 2017-08-22 2018-05-11 重庆大学 One kind prediction solid propellant rocket storage life method
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US20190383234A1 (en) * 2018-06-19 2019-12-19 Goodrich Corporation Integrated rocket motor aging sensor
CN111983181A (en) * 2020-09-01 2020-11-24 中国人民解放军海军航空大学 Lossless prediction method for residual storage life of NEPE propellant

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108021730A (en) * 2017-08-22 2018-05-11 重庆大学 One kind prediction solid propellant rocket storage life method
US20190204291A1 (en) * 2018-01-02 2019-07-04 General Electric Company Locomotive system with sensor probe assembly for monitoring oil health
US20190383234A1 (en) * 2018-06-19 2019-12-19 Goodrich Corporation Integrated rocket motor aging sensor
CN111983181A (en) * 2020-09-01 2020-11-24 中国人民解放军海军航空大学 Lossless prediction method for residual storage life of NEPE propellant

Non-Patent Citations (2)

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Title
张守诚;屈文忠;肖黎;: "固体发动机界面结构试件脱粘健康监测研究", 固体火箭技术, no. 03 *
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