CN110516348A - A kind of annular radiator performance measuring and calculating method and its device - Google Patents
A kind of annular radiator performance measuring and calculating method and its device Download PDFInfo
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- CN110516348A CN110516348A CN201910787072.8A CN201910787072A CN110516348A CN 110516348 A CN110516348 A CN 110516348A CN 201910787072 A CN201910787072 A CN 201910787072A CN 110516348 A CN110516348 A CN 110516348A
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Abstract
The invention discloses a kind of annular radiator performance measuring and calculating method and its devices, pass through the performance data under acquisition several groups difference operating condition, it builds the annular radiator performance based on particle swarm algorithm Optimized BP Neural Network and calculates mathematical model, can effectively calculate the performance data under other working conditions.A kind of annular radiator performance measuring and calculating method and its device provided by the invention are suitable for the calculating of performance under annular radiator difference working condition, accuracy, reliability, stability, the convenience of method are good, annular radiator performance precision of prediction can be largely promoted, to be obviously improved Aero-Engine Lubrication System design efficiency.
Description
Technical field
The invention belongs to civil engine oil system field of radiating more particularly to a kind of annular radiator performance to survey
Calculate method and device thereof.
Background technique
In civil engine field, complemental heat dissipation device of the annular radiator as oil system is had been obtained
It is more and more widely used.This kind of radiator is integrally a circular-arc structure, and is mounted in the fan duct of engine, and cold sky is utilized
Gas radiates to lubricating oil by fin.
It is also extremely limited to the research of this kind of radiator at present since annular radiator is a kind of novel radiator structure,
The accurate meter of the heat dissipation capacity and flow resistance performance that there is no a set of reliable, feasible theoretical calculation method to can be realized under different operating conditions
It calculates.And be also only capable of measuring the performance data under limited operating point in annular radiator performance test, it is unable to get any operating condition
The results of property of point.Therefore, because the uncertainty of this annular radiator performance prediction, leads to Aero-Engine Lubrication System
Have to consider a large amount of nargin in each operating point in the design process, cause the waste of performance, in addition sometimes due to
Nargin reserve it is unreasonable lead to design iterations, seriously blocked the development progress of engine complete machine.
Summary of the invention
The object of the present invention is to provide a kind of annular radiator performance measuring and calculating method and its devices, several by acquiring
Performance data under the different operating conditions of group, builds lubricating oil inlet flow rate q1, lubricating oil inlet temperature t1, air intake flow q2, air
Inlet temperature t2, Air inlet pressure p2Δ P is hindered with heat dissipation capacity Q, lubricating oil effluent1, air side flow resistance Δ P2Between mathematical modulo
Type can effectively calculate the performance data under other working conditions.
The technical scheme is that
A kind of annular radiator performance measuring and calculating method, includes the following steps:
Step 1: performance data collection: the performance data of required acquisition need to be directed to the annular radiator for the performance calculated,
It include: lubricating oil inlet flow rate q1, lubricating oil inlet temperature t1, air intake flow q2, inlet air temp t2, Air inlet pressure p2
And corresponding heat dissipation capacity Q, lubricating oil effluent hinder Δ P1, air side flow resistance Δ P2；
Step 2: building mathematical model: utilizing step 1 performance data collected, building is optimized based on particle swarm algorithm
The annular radiator performance of BP neural network calculates mathematical model；
Step 3: performance calculates: mathematical model constructed by the operating condition point data steps for importing two by required calculating is fallen into a trap
It calculates, obtains the performance calculated result of annular radiator.
In the step 2, the specific steps of building annular radiator performance calculating mathematical model include:
A, input variable is calculated according to annular radiator performance and output variable constructs BP neural network；
B, particle swarm algorithm Optimized BP Neural Network；
C, training BP neural network.
In the step 3, the operating point parameters value of required calculating is both needed to the work of the acquired data in step 1
In the corresponding range of parameter values of condition point.
A kind of device for realizing annular radiator performance measuring and calculating method, the device include air intlet changeover portion 1, mounting plate
2, oil inlet oil circuit 8, oil outlet oil circuit 13.Wherein, air intlet pressure tap 3 is provided on mounting plate 2, air intlet is surveyed
Warm hole 4, air outlet slit thermometer hole 5, air outlet slit pressure tap 6；It is provided with oil inlet thermometer hole 9 on oil inlet oil circuit 8, slides
Oil inlet pressure tap 10；Oil outlet thermometer hole 11, oil outlet pressure tap 12 are provided on oil outlet oil circuit 13；Annular dissipates
Hot device testpieces 7 is mounted on mounting plate 2.
It is as follows to meet condition needed for mounting plate 2 in described device:
1, being in contact portion size on mounting plate 2 to annular radiator testpieces 7 should be corresponding with annular radiator testpieces 7
Size is consistent；
2, the air intlet thermometer hole 4 on mounting plate 2, air outlet slit thermometer hole 5 are at a distance from annular radiator testpieces 7
2 times of air flow circuit hydraulic diameter in mounting plate 2 should all be more than or equal to；
3, the air intlet pressure tap 3 on mounting plate 2, air outlet slit pressure tap 6 are at a distance from annular radiator testpieces 7
4 times of air flow circuit hydraulic diameter in mounting plate 2 should all be more than or equal to.
The beneficial effects of the present invention are: a kind of annular radiator performance measuring and calculating method provided by the invention and its device are applicable in
The calculating of performance under annular radiator difference working condition, accuracy, reliability, stability, the convenience of method are good, can be
Annular radiator performance precision of prediction is largely promoted, to be obviously improved Aero-Engine Lubrication System design efficiency.
Detailed description of the invention
Fig. 1 is the method for the invention equipment therefor schematic diagram；
Fig. 2 is the method for the invention equipment therefor decomposition texture schematic diagram；
Fig. 3 is annular radiator testpieces schematic diagram；
Fig. 4 is the method for the invention flow chart；
Fig. 5 is calculated result verifying of the present invention.
Wherein: 1- air intlet changeover portion, 2- mounting plate, 3- air intlet pressure tap, 4- air intlet thermometer hole, 5- are empty
Gas exports thermometer hole, 6- air outlet slit pressure tap, 7- annular radiator testpieces, 8- oil inlet oil circuit, the survey of 9- oil inlet
Wen Kong, 10- oil inlet pressure tap, 11- oil outlet thermometer hole, 12- oil outlet pressure tap, 13- oil outlet oil circuit.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and examples:
Referring to Fig.1, equipment therefor of the present invention includes: air intlet changeover portion 1, mounting plate 2, oil inlet oil circuit 8, lubricating oil
Export oil circuit 13.Wherein, air intlet pressure tap 3, air intlet thermometer hole 4, air outlet slit thermometer hole are provided on mounting plate 2
5, air outlet slit pressure tap 6；Oil inlet thermometer hole 9, oil inlet pressure tap 10 are provided on oil inlet oil circuit 8；Lubricating oil
Oil outlet thermometer hole 11, oil outlet pressure tap 12 are provided on outlet oil circuit 13；Annular radiator testpieces 7 is mounted on
In loading board 2.Being in contact portion size to annular radiator testpieces 7 on mounting plate 2 should ruler corresponding with annular radiator testpieces 7
It is very little to be consistent, air intlet thermometer hole 4, air outlet slit thermometer hole 5 on mounting plate 2 and annular radiator testpieces 7 away from
From 2 times of air flow circuit hydraulic diameter in mounting plate 2 should all be more than or equal to, the air intlet pressure tap 3, air on mounting plate 2
4 of air flow circuit hydraulic diameter in mounting plate 2 should all be more than or equal at a distance from annular radiator testpieces 7 by exporting pressure tap 6
Times.
At work, air is entered by air intlet changeover portion 1 and flows to mounting plate 2 equipment therefor of the present invention, is being flowed through
Heat exchange is carried out with the annular radiator testpieces 7 being mounted on mounting plate 2 during mounting plate 2, finally flows out mounting plate
2；Lubricating oil is flowed into annular radiator testpieces 7 by oil inlet oil circuit 8, is flowed after heat exchange by oil outlet oil circuit 13
Out.Air intlet pressure tap 3, air intlet thermometer hole 4, air outlet slit thermometer hole 5, air outlet slit on mounting plate 2 are set
Pressure tap 6 is respectively used to the pressure before measurement air heat-exchange, the temperature after temperature and air heat-exchange, pressure.It is arranged in lubricating oil
Oil inlet thermometer hole 9, oil inlet pressure tap 10 and the lubricating oil being arranged on oil outlet oil circuit 13 on import oil circuit 8 go out
Mouth thermometer hole 11, oil outlet pressure tap 12 are respectively used to the temperature after the temperature before measurement lubricating oil heat exchange, pressure and lubricating oil heat exchange
Degree, pressure.
Referring to Fig. 2, in equipment therefor of the present invention, air intlet changeover portion 1 links together with mounting plate 2, and annular dissipates
Hot device testpieces 7 is mounted on mounting plate 2, and oil inlet oil circuit 8, oil outlet oil circuit 13 are mounted on annular radiator testpieces
On 7.
Referring to Fig. 3, the 7 lubricating oil side of annular radiator testpieces of the present embodiment is double-flow, air side is single process.Work
When, lubricating oil enters after annular radiator testpieces 7 to be flowed along inner circular arced flow path, by annular radiator testpieces 7 with
The air flowed through realizes heat exchange, final to flow out.
In the present embodiment, the performance data under the different operating conditions of 140 groups of annular radiator testpieces 7 is acquired altogether, is built
Annular radiator performance based on particle swarm algorithm Optimized BP Neural Network calculates mathematical model, and by 10 groups of works of required calculating
The importing of condition point data obtains performance calculated result.Referring to Fig. 4, following steps are executed:
Step 1: performance data collection.140 groups are acquired not using annular radiator performance measuring and calculating device of the present invention
With the performance data under operating point.Specific steps include:
1) lubricating oil inlet flow rate q of 140 groups of annular radiator testpieces 7 under different operating points is obtained by test1, it is sliding
Oil-in temperature t1, Oil Outlet Temperature t1', lubricating oil inlet pressure p1, oil outlet pressure p1', air intake flow q2, air
Inlet temperature t2, air exit temp t2', Air inlet pressure p2, air outlet slit pressure p2'.Wherein, Air inlet pressure p2、
Inlet air temp t2, air exit temp t2', air outlet slit pressure p2' surveyed respectively by air intlet pressure tap 3, air intlet
Warm hole 4, air outlet slit thermometer hole 5,6 data streams read of air outlet slit pressure tap respectively ask arithmetic mean to obtain.
2) it is calculated separately to obtain heat dissipation capacity Q, lubricating oil effluent resistance Δ P according to formula (I), formula (II), formula (III)1, it is empty
Gas side flow resistance Δ P2。
ΔP1=p1-p1' (Ⅱ)
ΔP2=p2-p2' (Ⅲ)
Wherein: W1、W2The respectively thermal capacity of lubricating oil, air.
3) storing data, including lubricating oil inlet flow rate q1, lubricating oil inlet temperature t1, air intake flow q2, air intake temperature
Spend t2, Air inlet pressure p2And corresponding heat dissipation capacity Q, lubricating oil effluent hinder Δ P1, air side flow resistance Δ P2。
Step 2: building mathematical model.Using step 1 performance data collected, building is optimized based on particle swarm algorithm
The annular radiator performance of BP neural network calculates mathematical model.Specific steps include:
1) input variable is calculated according to annular radiator performance and output variable constructs BP neural network.Due to circular radiating
The input variable that device performance calculates includes lubricating oil inlet flow rate q1, lubricating oil inlet temperature t1, air intake flow q2, air intake
Temperature t2, Air inlet pressure p2Totally 5, output variable includes heat dissipation capacity Q, lubricating oil effluent resistance Δ P1, air side flow resistance Δ P2Altogether
3, therefore the input layer number of BP neural network is determined as 5, output layer number of nodes and is determined as the determination of 3, node in hidden layer
It is 5.
2) particle swarm algorithm Optimized BP Neural Network.Specific steps include:
1. determining particle populations individual and constructing fitness function.Since the optimization object of particle swarm algorithm is BP nerve net
The initial weight of network, threshold value, therefore defining particle populations individual is the initial weight of BP neural network, threshold value, population at individual is compiled
Code method commonly includes binary law, real number method etc., this example selects real number method；Fitness function is defined as step 1) institute structure
The BP neural network built regard the calculating Error Absolute Value accumulation of BP neural network as fitness value, by the first of BP neural network
Beginning weight, threshold value are as fitness function return value.
2. particle populations initialize and calculate the fitness value of each individual of initial population.
3. constantly being iterated to calculate by particle swarm algorithm to population, until particle swarm algorithm calculating terminates, export optimal first
Beginning weight, threshold value.In the present embodiment, stable when particle populations iteration to 215 step and reach minimum fitness value.
3) training BP neural network.Specific steps include:
1. assigning the obtained optimal initial weight of step 2), threshold value to BP neural network.
2. the performance data collected of invocation step one trains BP neural network as training data, until BP nerve net
Network training terminates.
Step 3: performance calculates.Specific steps include:
1. the operating point of required calculating is read in BP neural network.10 groups of operating points of required calculating is each in the present embodiment
In the corresponding range of parameter values of operating point of a parameter value acquired data in step 1.
2. BP neural network calculates, and obtains performance calculated result.
In the present embodiment, by test obtain needed for calculate 10 groups of operating points performance test data, and with this hair
The performance calculated result of bright the method is compared.Comparison result is as shown in Figure 5.As can be seen that calculating through the invention
Heat dissipation capacity Q, the lubricating oil effluent resistance Δ P arrived1, air side flow resistance Δ P2Very close with test data, percentage error distinguishes energy
Enough control demonstrates the present invention with good accurate within -2.5%~8%, -7.5%~9.5%, -12%~7%
Property, reliability, stability, convenience.
Claims (5)
1. a kind of annular radiator performance measuring and calculating method, it is characterised in that include the following steps:
Step 1: performance data collection: the performance data of required acquisition need to be directed to the annular radiator for the performance calculated, packet
It includes: lubricating oil inlet flow rate q1, lubricating oil inlet temperature t1, air intake flow q2, inlet air temp t2, Air inlet pressure p2With
And corresponding heat dissipation capacity Q, lubricating oil effluent hinder Δ P1, air side flow resistance Δ P2；
Step 2: building mathematical model: utilizing step 1 performance data collected, building is based on particle swarm algorithm optimization BP mind
Annular radiator performance through network calculates mathematical model；
Step 3: performance calculates: calculating, obtain in mathematical model constructed by the operating condition point data steps for importing two by required calculating
To the performance calculated result of annular radiator.
2. annular radiator performance measuring and calculating method according to claim 1, it is characterised in that: in the step 2, structure
Build annular radiator performance calculate mathematical model specific steps include:
2.1, input variable is calculated according to annular radiator performance and output variable constructs BP neural network；
2.2, particle swarm algorithm Optimized BP Neural Network；
2.3, training BP neural network.
3. annular radiator performance measuring and calculating method according to claim 1, it is characterised in that: in the step 3, institute
The operating point parameters value that need to be calculated is both needed in the corresponding range of parameter values of operating point of the acquired data in step 1.
4. device used by annular radiator performance measuring and calculating method according to any one of claims 1 to 3, feature exist
In: the device includes air intlet changeover portion 1, mounting plate 2, oil inlet oil circuit 8, oil outlet oil circuit 13.Wherein, mounting plate
Air intlet pressure tap 3, air intlet thermometer hole 4, air outlet slit thermometer hole 5, air outlet slit pressure tap 6 are provided on 2；Lubricating oil
Oil inlet thermometer hole 9, oil inlet pressure tap 10 are provided on import oil circuit 8；Lubricating oil is provided on oil outlet oil circuit 13
Export thermometer hole 11, oil outlet pressure tap 12；Annular radiator testpieces 7 is mounted on mounting plate 2.
5. the used device of annular radiator performance measuring and calculating method according to claim 4, it is characterised in that: described device
It is as follows to meet condition needed for middle mounting plate 2:
(1) being in contact portion size on mounting plate 2 to annular radiator testpieces 7 should ruler corresponding with annular radiator testpieces 7
It is very little to be consistent；
(2) the air intlet thermometer hole 4 on mounting plate 2, air outlet slit thermometer hole 5 are equal at a distance from annular radiator testpieces 7
It should be greater than 2 times that are equal to air flow circuit hydraulic diameter in mounting plate 2；
(3) the air intlet pressure tap 3 on mounting plate 2, air outlet slit pressure tap 6 are equal at a distance from annular radiator testpieces 7
It should be greater than 4 times that are equal to air flow circuit hydraulic diameter in mounting plate 2.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103362650A (en) * | 2012-04-01 | 2013-10-23 | 中航商用航空发动机有限责任公司 | Cooling system and method of aero-engine |
| CN106908264A (en) * | 2017-05-03 | 2017-06-30 | 黑龙江沧龙发电设备股份有限公司 | A kind of test system and its method of testing of oil cooler efficiency |
| CN107091747A (en) * | 2017-06-01 | 2017-08-25 | 中国航发湖南动力机械研究所 | A kind of inlet duct heat dispersion test system and its method of testing |
| CN207486416U (en) * | 2017-10-25 | 2018-06-12 | 新乡航空工业(集团)有限公司 | A kind of annular radiator |
| CN110046471A (en) * | 2019-05-14 | 2019-07-23 | 云南电网有限责任公司电力科学研究院 | Based on the radiator optimization method for improving PSO Neural Network algorithm |
-
2019
- 2019-08-25 CN CN201910787072.8A patent/CN110516348A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103362650A (en) * | 2012-04-01 | 2013-10-23 | 中航商用航空发动机有限责任公司 | Cooling system and method of aero-engine |
| CN106908264A (en) * | 2017-05-03 | 2017-06-30 | 黑龙江沧龙发电设备股份有限公司 | A kind of test system and its method of testing of oil cooler efficiency |
| CN107091747A (en) * | 2017-06-01 | 2017-08-25 | 中国航发湖南动力机械研究所 | A kind of inlet duct heat dispersion test system and its method of testing |
| CN207486416U (en) * | 2017-10-25 | 2018-06-12 | 新乡航空工业(集团)有限公司 | A kind of annular radiator |
| CN110046471A (en) * | 2019-05-14 | 2019-07-23 | 云南电网有限责任公司电力科学研究院 | Based on the radiator optimization method for improving PSO Neural Network algorithm |
Non-Patent Citations (3)
| Title |
|---|
| 于宁锋等: "基于粒子群优化神经网络的概率积分法预计参数的确定", 《测绘科学》, no. 02, 20 March 2008 (2008-03-20) * |
| 班淑珍: "基于神经网络的管芯式散热器性能研究", 《中国优秀硕士学位论文全文数据库.工程科技II辑》, 15 December 2009 (2009-12-15), pages 1 - 5 * |
| 陈琳等: "优化BP神经网络在地下水计算中的应用", 《人民黄河》, no. 05, 20 May 2011 (2011-05-20) * |
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Application publication date: 20191129 |