CN109858053A - Airborne temperature sensor dynamic thermal response method for predicting - Google Patents
Airborne temperature sensor dynamic thermal response method for predicting Download PDFInfo
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- CN109858053A CN109858053A CN201711245294.4A CN201711245294A CN109858053A CN 109858053 A CN109858053 A CN 109858053A CN 201711245294 A CN201711245294 A CN 201711245294A CN 109858053 A CN109858053 A CN 109858053A
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Abstract
The present invention relates to airborne temperature sensor dynamic thermal response method for predicting, which is characterized in that the method for predicting comprises the following modules: pre-processing module, simulation analysis module, post-processing and data fitting module.It is analyzed using dynamic characteristic of this method to time constant this sensor, in influence of the various structures of the preliminary analysis of design to time constant, operation is simple and feasible, reduces design cost, improves design efficiency.
Description
Technical field
This patent belongs to aero-engine observation and control technology field.
Background technique
As the important technology index of airborne temperature sensor, dynamic thermal response reflection is temperature sensor impression
And the speed degree of output temperature signal, generally use timeconstantτ0.632To characterize.Time constant refers to be occurred in test temperature field
Temperature value output reaches some defined percentage (generally 63.2%) the when institute for being equivalent to the Spline smoothing when Spline smoothing
The time needed is one proper property of temperature sensor.
Under normal circumstances, the factor for influencing detector time constant is more, mainly have the speed of fluid, the temperature of step,
Size, structure of runner stagnation chamber of sensor thermometric end etc..Test measurement detector time constant is complex, need to be specific
Wind tunnel device in carry out, test difficulty it is costly greatly.Additionally, due to the measuring technology limitation of domestic transient temperature response, cause
Test result discreteness is big, and the consistency and confidence level of test be not high, can not obtain reliable test data.
Summary of the invention
Goal of the invention: a kind of method for proposing estimated airborne temperature sensor dynamic thermal response, it is imitative using finite element
Transient analysis module in true software, amount relevant to physical time such a to time constant carry out quantitative calculating, analysis
The influence of different structure and material, judges whether it meets design requirement.This method is easily operated, low-cost, analysis precision
Height can greatly improve the design efficiency of product sensor.
Technical solution: test macro used in airborne temperature sensor dynamic thermal response method for predicting includes following
Module: pre-processing module, simulation analysis module, post-processing and data fitting module.
The pre-processing module is used for the foundation of temperature sensor finite element model.Method is as follows:
G) CAD number is established according to the design drawing and assembly relation of temperature sensor using general 3 d modeling software
Model, removal chamfering, screw thread and solder joint characteristic, exports as X_T or prt formatted file.
H) CAD mathematical model is imported into hot fluid distributional analysis software FloEFD and carries out zoning setting.Fluid calculation
Region is set as cuboid, and streamwise is dimensioned to 10 times of product contour dimension, other both directions are set as producing
3 times of product contour dimension, product centering is placed in inside zoning.
I) pattern checking is carried out, avoids constructive interference, it is ensured that fluid volume and solid volume are not zero.
J) grid dividing is carried out.Using hexahedral mesh division mode, sizing grid is by 4 grades global or more, sensor sense
6 grades of warm portion, end office (EO) arrangement above.
K) be arranged fluid (water flow or air) and each component materials of sensor thermal characteristic parameter, including density, specific heat capacity,
Thermal conductivity.
L) setting calculates primary condition and boundary condition, including initial fluid temperature, pressure, original solid temperature, solid
Wall roughness, fluid inlet temperature, Mach number.
After completing aforesaid operations, that is, complete the foundation of analysis finite element model.
Numerical value of the simulation analysis module for temperature sensor dynamic thermal response calculates.The control flowed according to fluid
Equation, it then follows energy conservation equation selects the turbulence model built in FloEFD software, and turbulent perturbation intensity is set as 0.1%, rapids
Stream length is set as 3m, is calculated using finite volume method.Target component is arranged to monitor, the monitoring sensor in calculating process
Temperature-sensitive end temperature changes with time situation, calculates dwell time to determine.Result is exported to next module after the completion of calculating
It uses.
The post-processing and data fitting module are used to carry out visualization display to analysis, intend time constant result
Conjunction and error analysis.The streamline distribution of any time Fluid field during entire temperature jump is obtained by post-processing module, temperature
Degree distribution and VELOCITY DISTRIBUTION cloud atlas, the result changed over time to thermometric end solid temperature exports, in data processing software
Fitting of a polynomial is carried out in Origin, using multinomials more than 3 ranks, degree of fitting reaches 98% or more.Using fitting formula, i.e.,
The time constant result of temperature sensor can be calculated.
Advantage/good effect: it analyzes, is setting using dynamic characteristic of this method to time constant this sensor
Influence of the various structures of the preliminary analysis of meter to time constant, operation is simple and feasible, reduces design cost, improves design effect
Rate.
Detailed description of the invention
Fig. 1 is analytical parameter setup schematic diagram
Fig. 2 is temperature sensor temperature results display schematic diagram
Fig. 3 is the rate results display schematic diagram of fluid flow line
Fig. 4 is that dynamic thermal response analyzes matched curve figure.
Specific embodiment
For producing a type airborne temperature sensor, using its estimated dynamic thermal response of this method, greatly improve
Design efficiency, reduces design cost.
Implementation method is as follows:
Step 1: establishing the CAD model of product, simplify structure chamfering, screw thread and characteristics of weld seam, exports as X_T format text
Part.
Step 2: importing hot fluid distributional analysis software FloEFD carries out zoning setting.The setting of fluid calculation region
For the rectangular body region of 300mm × 300mm × 1000mm, product model is placed centrally inside zoning.
Step 3: carrying out pattern checking, fluid volume 0.28mm3, solid volume 0.0023mm3, confirmation model standard
Really.
Step 4: carrying out grid dividing.Using hexahedral mesh division mode, sizing grid is 4 by global grid size
Grade, sensor temperature-sensitive end office (EO) portion's sizing grid are 6 grades.
Step 5: the thermal characteristic parameter of setting air, sensor outer housing, temperature-sensing element, Embedding Material.
Step 6: setting calculates primary condition and boundary condition, initial fluid temperature is 115 DEG C, pressure 101325Pa,
115 DEG C of original solid temperature, 3.2 μm of the wall roughness of solid, 25 DEG C of fluid inlet temperature, Mach number 0.2Ma.
Step 7: using transient analysis algorithm to the carry out simulation calculation of the sensor in thermal field.
Step 6: carrying out the post processing of analysis result, data fitting is carried out to sensor dynamic thermal response result.Such as
Fig. 2 show temperature results display schematic diagram, and Fig. 3 show fluid flow line rate results display schematic diagram, 4 Dynamic Thermal of attached drawing
Response analysis matched curve.The calculated result of time constant is 9.6s in this.
Claims (4)
1. airborne temperature sensor dynamic thermal response method for predicting, which is characterized in that the method for predicting includes with lower die
Block: pre-processing module, simulation analysis module, post-processing and data fitting module.
2. method for predicting as described in claim 1, which is characterized in that the pre-processing module is used for temperature sensor finite element
The foundation of model；Method is as follows:
A) design drawing and assembly relation using general 3 d modeling software according to temperature sensor establish CAD number mould
Type, removal chamfering, screw thread and solder joint characteristic, output format are the file of X_T or prt；
B) CAD mathematical model is imported into hot fluid distributional analysis software FloEFD and carries out zoning setting；Fluid calculation region
It is set as cuboid, streamwise is dimensioned to 10 times of product contour dimension, other both directions are set as outside product
3 times of wide size, product centering is placed in inside zoning；
C) pattern checking is carried out, avoids constructive interference, it is ensured that fluid volume and solid volume are not zero；
D) grid dividing is carried out；Using hexahedral mesh division mode, sizing grid is by 4 grades global or more, sensor temperature-sensitive end
The 6 grades of arrangement above in part；
E) thermal characteristic parameter of fluid and each component materials of sensor, including density, specific heat capacity, thermal conductivity are set；
F) setting calculates primary condition and boundary condition, including initial fluid temperature, pressure, original solid temperature, the wall of solid
Surface roughness, fluid inlet temperature, Mach number；
After completing aforesaid operations, that is, complete the foundation of analysis finite element model.
3. method for predicting as described in claim 1, which is characterized in that the simulation analysis module is for temperature sensor dynamic
The numerical value of thermal response calculates；The governing equation flowed according to fluid, it then follows energy conservation equation is selected built in FloEFD software
Turbulence model, turbulent perturbation intensity are set as 0.1%, and turbulent flow length is set as 3m, is calculated using finite volume method；Setting
Target component monitoring, monitoring sensor temperature-sensitive end temperature changes with time situation in calculating process, is stopped with determining to calculate
Time；Result is exported to next module after the completion of calculating and is used.
4. method for predicting as described in claim 1, which is characterized in that the post-processing and data fitting module are used for analysis
Visualization display is carried out, time constant result is fitted and error analysis；Entire temperature rank is obtained by post-processing module
The streamline distribution of any time Fluid field during jump, Temperature Distribution and VELOCITY DISTRIBUTION cloud atlas, at any time to thermometric end solid temperature
Between the result that changes exported, fitting of a polynomial is carried out in data processing software Origin, using more than 3 ranks multinomial
Formula, degree of fitting reach 98% or more；Using fitting formula, the time constant result of temperature sensor can be calculated.
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| CN201711245294.4A CN109858053A (en) | 2017-11-30 | 2017-11-30 | Airborne temperature sensor dynamic thermal response method for predicting |
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| CN201711245294.4A CN109858053A (en) | 2017-11-30 | 2017-11-30 | Airborne temperature sensor dynamic thermal response method for predicting |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113865734A (en) * | 2021-08-13 | 2021-12-31 | 北京航空航天大学 | Temperature sensor model creating method and device and electronic equipment |
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2017
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113865734A (en) * | 2021-08-13 | 2021-12-31 | 北京航空航天大学 | Temperature sensor model creating method and device and electronic equipment |
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Application publication date: 20190607 |
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