CN113378117A - Engine storage environment profile analysis method - Google Patents
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- 238000004458 analytical method Methods 0.000 title claims abstract description 20
- 238000012360 testing method Methods 0.000 claims abstract description 15
- 230000007613 environmental effect Effects 0.000 claims description 27
- 238000000034 method Methods 0.000 claims description 22
- 238000001228 spectrum Methods 0.000 claims description 8
- 230000000737 periodic effect Effects 0.000 claims description 6
- 230000001351 cycling effect Effects 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 abstract description 6
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- 230000035882 stress Effects 0.000 description 19
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Abstract
The invention relates to a section analysis method for an engine storage environment, which comprises the following steps: (1) in an analysis period, determining a storage section according to the storage environment of the whole engine; (2) counting the storage environment condition data; (3) and drawing a reference storage environment section according to the counted storage environment condition data. The invention can more truly reflect the storage environment of the product, the structure of the accelerated test evaluation of the storage life is more consistent with the reality, and the invention provides a basis for the test verification and evaluation of the storage reliability and the storage life of the engine.
Description
Technical Field
The invention belongs to the technical field of life test and evaluation, and particularly relates to a section analysis method for an engine storage environment.
Background
The basic principle of accelerated life testing is to estimate the characteristic life at normal stress levels using extrapolation of the characteristic life at high stress levels through the physicochemical relationship between product life and stress (i.e., an accelerated model).
In the conventional engine storage acceleration test, the normal stress level is usually set to a constant value (for example, the characteristic life at high stress is extrapolated to the characteristic life at 25 ℃). The method often causes the service life prediction result to have a large difference from the actual service life prediction result, and the main reason is that the section of the storage environment of the equipment is complex, the equipment is often subjected to the processes of transportation, loading and unloading, warehouse storage, combat duty and the like, and the storage environment condition is not a constant value, so that a certain constant stress level is directly extrapolated, and the actual storage environment cannot be represented.
Therefore, in order to grasp the environmental load under actual storage use of the engine, it is necessary to make an engine storage environment profile based on storage environment factors and storage failure sensitive stress analysis. The storage environment profile is the basis and input for designing and analyzing the storage reliability (service life) of the engine and is the basis for verifying and evaluating the storage reliability and the storage service life of the engine.
Disclosure of Invention
The storage stress level is set to be a constant value in the conventional storage acceleration test, so that the problem that the service life prediction result and the actual in-out are increased is solved. The invention provides a method for making the storage environment section of the engine on the basis of the analysis of storage environment factors and storage failure sensitive stress, and provides a basis for the test verification and evaluation of the storage reliability and the storage life of the engine.
The invention relates to the following technical scheme:
an engine storage environment profile analysis method comprises the following steps:
(1) in an analysis period, determining a storage section according to the storage environment of the whole engine;
(2) counting the storage environment condition data;
(3) and drawing a reference storage environment section according to the counted storage environment condition data.
In the step (1), the storage profile comprises more than one of the processes of transportation loading and unloading, storehouse storage, periodic test or combat readiness duty.
Wherein, the environmental load factors of transportation loading and unloading comprise vibration and loading and unloading impact in the processes of road transportation, railway transportation, sea transportation or air transportation.
Wherein the environmental load factors of the warehouse storage include high temperature and humidity.
Wherein the environmental load factor of the periodic test comprises power-on detection.
Wherein, the environmental load factors of the combat readiness duty include high temperature, low temperature, temperature cycle, humidity, air pressure, corrosive media, and vibration and loading and unloading impact during transportation.
The step (2) is as follows: and counting the magnitude and time history of the environmental load factors of each storage profile.
The method comprises the steps of calculating the steady-state temperature stress by using a step counting method, and calculating the temperature cyclic load spectrum by using a rain flow counting method.
The step (3) is as follows: and drawing a reference storage section by taking time as an abscissa and taking the environmental load factor as an ordinate.
The invention has the beneficial effects that:
1) the storage environment profile is compiled, so that input can be provided for designing and analyzing the storage reliability (service life) of the engine, and reference conditions can be provided for verifying and evaluating the storage reliability and the storage service life of the engine.
2) The storage environment section of the equipment is complex and is often subjected to the processes of transportation, loading and unloading, storehouse storage, combat duty and the like, the storage environment condition is not a constant value, the storage environment of the reaction product can be more truly by adopting a storage environment section analysis method, and the structure of accelerated test evaluation of the storage life is more consistent with the reality.
Drawings
FIG. 1 is a cross-sectional view of a typical engine in storage, as a complete unit.
FIG. 2 is a conversion graph of storage temperature environment section to environment load spectrum.
FIG. 3 is a schematic diagram of a stored steady-state temperature environment spectrum.
Fig. 4 is a stress-strain hysteresis loop.
FIG. 5 is a sectional view of a typical engine baseline storage environment obtained in the example.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the embodiments of the present application and the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The storage environment profile is the basis and input for designing and analyzing the storage reliability (service life) of the engine and is the basis for verifying and evaluating the storage reliability and the storage service life of the engine. The flow of engine baseline storage environmental condition analysis is as follows:
1. determining storage profiles
The storage section of the whole engine comprises the whole process from self-acceptance delivery to launching before flight according to the specified procedures and requirements, including transportation, loading and unloading, storehouse storage, periodic detection, combat readiness on duty and the like. The storage section of a typical engine as a whole is shown in figure 1.
The environmental factors related to the storage section mainly include temperature, humidity, vibration and impact, and then air pressure, corrosive medium, electric stress and the like, and the environmental factors include natural environmental factors and induced environmental factors.
2. Storage environmental condition statistics
2.1 storage environmental conditions Collection Table
The typical storage section of the whole engine is analyzed, and the magnitude and the time history of main environmental load factors in the stages of transportation, loading, unloading, storehouse storage, periodic detection, combat readiness, duty and the like are counted, and are shown in table 1.
TABLE 1 statistical table of storage environmental conditions of whole engine
2.2 statistical analysis of environmental factors
In table 1, the temperature factor data for a specific geographical environment includes two failure-sensitive stresses, namely, steady-state temperature environmental stress and temperature cycle mechanical stress, which are caused by daily temperature change. And thus can be described in terms of a temperature environment spectrum and a temperature cycle load spectrum, respectively. The process of conversion of the storage temperature profile to the environmental load spectrum is shown in FIG. 2.
2.2.1 Steady State temperature stress statistics based on step statistics
Since the temperature is not a constant value under the warehouse conditions, if the temperature at a certain temperature point is directly extrapolated, it cannot represent the real storage environment. Therefore, a steady-state temperature stress statistical method based on a step statistical method is adopted to divide the actually stored temperature into N temperature sections T1,T2...Tw...TNCan be approximated as a temperature constant in each section, and the duration of each temperature section is counted as t1,t2...tw...tNSuch asAs shown in fig. 3.
2.2.2 temperature cycle load Spectrum statistics based on rain flow counting method
And counting the temperature cycling stress caused by the daily temperature change by adopting a rain flow counting method. The cycle count of the rain flow method is based on the stress-strain characteristics of the material of the component, and the stress cycle obtained by the method is consistent with the stress-strain hysteresis loop generated in the material by the time history of the stress, as shown in fig. 4, so that the fatigue accumulation damage caused by the two is considered to be equal.
The rain flow counting method has the following rules:
(1) rain flow begins at the start of the test recording and consequently at the inner edge of each peak, i.e., from 1,2,3, …, etc. cusps.
(2) Rain drops vertically down at the flow peak (i.e., the eave), until there is a positive maximum (or more negative minimum) opposite the initial maximum (or minimum).
(3) When the rain stream encounters rain from the roof above, the flow is stopped and a cycle is formed.
(4) And drawing each cycle according to the starting point and the end point of the raindrop flow, taking out all the cycles one by one, and recording the peak-valley value of the cycles.
(5) The horizontal length of each rain stream may be taken as the amplitude of the cycle.
3. Storage Environment Condition analysis example
3.1 general description
Taking an accelerated storage test of a certain type of engine complete machine as an example, environmental condition data of the engine complete machine stored for one year is analyzed, and a reference storage environment section is established.
3.2 storage Profile determination
3.2.1 storehouse storage
The whole engine is stored in a storehouse in six months in average all the year, wherein:
a) temperature: the ambient temperature was constant at 20 ℃;
b) humidity: the missile is stored in a storage and transportation launching tube which is sealed and filled with dry nitrogen, and the humidity stress is not considered.
3.2.2 periodic detection
The whole engine is electrified and tested twice a year.
3.2.3 readiness on duty
The whole engine is on duty in combat readiness in six months on average every year, wherein:
a) the field environment temperature is 10-25 ℃, and the average temperature is 20 ℃;
b) the temperature difference between day and night is 15 ℃, and the total temperature is 183 cycles.
3.2.4 transport handling
The road transport mileage is accumulated to be 500km (the running speed is 50km/h) every year, and the vibration magnitude is 0.27 g. The annual accumulated railway transportation course is 1600km (the speed per hour is 100km/h), and the vibration magnitude is 0.002g 2/Hz.
3.2.5 storage environmental conditions statistics
The statistics of the storage environment conditions of the whole engine are shown in the table 2.
TABLE 2 statistical table of overall storage environmental conditions of typical engine
3.3 reference storage Environment Profile definition
Based on the storage environment condition data, a reference storage environment profile is drawn. The profile of a typical baseline storage environment for a 1 year complete engine storage is shown in fig. 5.
The storage environment profile is the basis and input for designing and analyzing the storage reliability (service life) of the engine and is the basis for verifying and evaluating the storage reliability and the storage service life of the engine. By adopting the storage environment profile analysis method, the storage environment of the reaction product can be more real, and the structure of accelerated test evaluation of the storage life is more consistent with the reality.
Claims (9)
1. An engine storage environment profile analysis method is characterized by comprising the following steps:
(1) in an analysis period, determining a storage section according to the storage environment of the whole engine;
(2) counting the storage environment condition data;
(3) and drawing a reference storage environment section according to the counted storage environment condition data.
2. The method of claim 1, wherein the storage profile comprises one or more of transportation loading, unloading, warehouse storage, periodic testing, or combat readiness, and duty cycle.
3. The engine storage environment profile analysis method of claim 2, wherein the environmental load factors of transportation handling include vibration and handling impact during road transportation, rail transportation, sea transportation or air transportation.
4. The engine storage environment profiling method of claim 2, wherein the environmental load factors of the warehouse storage comprise high temperature and humidity.
5. The engine storage environment profiling method of claim 2, wherein the periodically tested environmental load factor comprises a power-on test.
6. The engine storage environment profile analysis method of claim 2, wherein the environmental load factors of the combat readiness duty include high temperature, low temperature, temperature cycling, humidity, air pressure, corrosive media, and vibration and handling impact during transportation.
7. The engine storage environment profile analysis method according to claim 2, wherein the step (2) is to count the magnitude and time history of the environmental load factors of each storage profile.
8. The engine storage environment profile analysis method of claim 7, wherein the steady state temperature stress is counted by a step counting method, and the temperature cycle load spectrum is counted by a rain flow counting method.
9. The engine storage environment profile analysis method according to claim 7, wherein the step (3) is: and drawing a reference storage section by taking time as an abscissa and taking the environmental load factor as an ordinate.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991134A (en) * | 2015-06-26 | 2015-10-21 | 北京强度环境研究所 | Accelerated storage test method for electronic equipment |
| CN108333208A (en) * | 2018-01-22 | 2018-07-27 | 航天科工防御技术研究试验中心 | A kind of complete machine grade product storage-life accelerated test method |
| CN109033640A (en) * | 2018-07-27 | 2018-12-18 | 中国兵器工业第五九研究所 | Energetic material accelerated test model building method based on actual measurement storage environment spectrum |
| CN111141977A (en) * | 2019-12-30 | 2020-05-12 | 中国航天标准化研究所 | Test time calculation method based on multi-stress accelerated life model |
| CN112284667A (en) * | 2020-10-23 | 2021-01-29 | 中国兵器工业第五九研究所 | Ammunition equipment damage/fault excitation test method based on storage period environmental factors |
-
2021
- 2021-06-03 CN CN202110621826.XA patent/CN113378117A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991134A (en) * | 2015-06-26 | 2015-10-21 | 北京强度环境研究所 | Accelerated storage test method for electronic equipment |
| CN108333208A (en) * | 2018-01-22 | 2018-07-27 | 航天科工防御技术研究试验中心 | A kind of complete machine grade product storage-life accelerated test method |
| CN109033640A (en) * | 2018-07-27 | 2018-12-18 | 中国兵器工业第五九研究所 | Energetic material accelerated test model building method based on actual measurement storage environment spectrum |
| CN111141977A (en) * | 2019-12-30 | 2020-05-12 | 中国航天标准化研究所 | Test time calculation method based on multi-stress accelerated life model |
| CN112284667A (en) * | 2020-10-23 | 2021-01-29 | 中国兵器工业第五九研究所 | Ammunition equipment damage/fault excitation test method based on storage period environmental factors |
Non-Patent Citations (2)
| Title |
|---|
| 孙同生 等: "某自行火炮寿命期环境剖面分析", 《装备环境工程》 * |
| 秦强 等: "综合环境条件下电子装备贮存寿命加速试验方法研究", 《装备环境工程》 * |
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