CN104615580A - Fast predicting method for peak value electron concentration of returner flow field - Google Patents

Fast predicting method for peak value electron concentration of returner flow field Download PDF

Info

Publication number
CN104615580A
CN104615580A CN201510035760.0A CN201510035760A CN104615580A CN 104615580 A CN104615580 A CN 104615580A CN 201510035760 A CN201510035760 A CN 201510035760A CN 104615580 A CN104615580 A CN 104615580A
Authority
CN
China
Prior art keywords
sigma
returner
gas
component
electron density
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510035760.0A
Other languages
Chinese (zh)
Other versions
CN104615580B (en
Inventor
苗文博
李齐
黄飞
张亮
程晓丽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Academy of Aerospace Aerodynamics CAAA
Original Assignee
China Academy of Aerospace Aerodynamics CAAA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Academy of Aerospace Aerodynamics CAAA filed Critical China Academy of Aerospace Aerodynamics CAAA
Priority to CN201510035760.0A priority Critical patent/CN104615580B/en
Publication of CN104615580A publication Critical patent/CN104615580A/en
Application granted granted Critical
Publication of CN104615580B publication Critical patent/CN104615580B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention provides a fast predicting method for the peak value electron concentration of a returner flow field. According to the method, an air flow total enthalpy is determined according to the incoming flow condition, and shock wave rear gas pressure is determined according to an isentropy relation; the gas static temperature and the component concentration of a stationary point position are solved; the pressure, the gas static temperature and the component concentration are solved to obtain the peak value electron concentration of the stationary point position; an euler equation is solved to obtain pressure distribution of the surface of a returner; the peak value electron concentration of the stationary point position and the pressure of the surface of the returner are solved to obtain the peak value electron concentration of the returner flow field. Compared with the prior art, on the premise of ensuring the result precision, the calculation cost is greatly reduced, the calculation efficiency is improved by ten times, and reliability is greatly improved.

Description

A kind of returner flow field peak electron density method for quick predicting
Technical field
The present invention relates to a kind of returner flow field peak electron density method for quick predicting, belong to hypersonic pneumatic physical technical field.
Background technology
Aircraft with hypersonic in the flight course of endoatmosphere, produce detached shock wave, kinetic transformation is interior energy, because temperature raises, causing aerochemistry to react or dissociation, ionization and surfacing ablation, around aircraft, form " plasma sheath ", greatly weakening causing the ability of aircraft reception or electromagnetic signals, even there will be communication signal time serious to interrupt, thus have influence on the normal flight of aircraft and the normal work of guidance system.Fully realizing the plasma regularity of distribution around aircraft, is the prerequisite of correct Prediction communication signal attenuation characteristic, has very important realistic meaning.
Current method of carrying out flow field electron density prediction is mainly carried out Flow Field Calculation by numerical simulation means and is completed, and needs to solve to describe the full N-S equation of polycomponent that returner reenters flowing.The method can provide returner and stream whole flow field electron density distribution everywhere, is a kind of method of meticulous depiction.But the multicomponent chemical reactive flowfield that existing various method for numerical simulation carries out Hypersonic reentry process solves larger the assessing the cost and time cost of needs consumption, often needs time a couple of days could obtain electron density Flow Field Distribution data.Research and analyse discovery, aerial signal communicating interrupt is analyzed, plasma circular frequency is the important parameter affecting signal interruption, if can provide flow field peak value circular frequency, even without whole flow field along number of passes according to also interrupting carrying out express-analysis and judgement to signal of communication.Rely on experimental analysis and numerical prediction for plasma prediction is main both at home and abroad, also there is no a kind of fast method carrying out peak electron density prediction.
Summary of the invention
Technology of the present invention is dealt with problems and is: for the deficiencies in the prior art, provides a kind of returner flow field peak electron density method for quick predicting, solves the problem that returner signal of communication interrupts express-analysis.
Technical solution of the present invention is:
A kind of returner flow field peak electron density method for quick predicting, comprises the following steps:
(1) according to inlet flow conditions determination air-flow total enthalpy h s, and according to gaseous tension p after isentropic relation formula determination shock wave s; Described inlet flow conditions comprises free stream Mach number M , static temperature T , static pressure p ;
(2) position, stationary point gas static temperature T, concentration of component c is solved j;
(3) by pressure p s, gas static temperature T, concentration of component c j, solve and obtain position, stationary point peak electron density Ne s;
(4) solve Eulerian equation and obtain returner surface pressure distribution p;
(5) by region, stationary point peak electron density Ne s, returner surface pressing p solves and obtains returner flow field peak electron density.
Gas temperature T in step (2), concentration of component c jdetermination mode as follows:
(2a) given initial gas static temperature and number of components density, solves following equation and obtains π iwith Δ lnn:
Σ i = 1 l Σ j = 1 m a kj a ij n j π i + Σ j = 1 m a kj n j Δ ln n + ( Σ j = 1 m a kj n j ( H T 0 ) j / RT ) Δ ln T = ( b k 0 - b k ) + Σ j = 1 m a kj n j g j / RT
Σ i = 1 l Σ j = 1 m a ij n j π i + ( Σ j = 1 m n j - n ) Δ ln n + ( Σ j = 1 m n j H Tj 0 / RT ) Δ ln T = n - Σ j = 1 m n j + Σ j = 1 m n j g j / RT
Wherein, n jfor the number density of component j, g jfor the free energy of component j, a kj, a ijbe respectively the related coefficient of component j about element k and i, bk be in every kg gas potpourri element k kilogram-molal quantity, for gas composition j is at the enthalpy of standard temperature (T=298.15K), π ifor the number of element i takes advantage of the factor; L represents total number of element; M represents the sum of gas composition; N represents the number density summation of gas; R represents gas law constant, gets 8314J/kg-K;
(2b) by the π obtained in step (2a) iwith Δ lnn, solve number of components density n jwith concentration of component c j, and then utilize concentration of component c jwith enthalpy of the gases h sreverse obtains current gas static temperature T:
Δ ln n j = Σ i = 1 l a ij π i + Δ ln n + ( H T 0 ) j Δ ln T / RT - g j / RT
c j = n j M j / Σ j = 1 m n j m j
Wherein, m jfor the molecular mass of component j;
(2c) formula in the current gas static temperature utilizing step (2b) to solve and number of components density and step (2a), solves the π at lower a moment iwith Δ lnn, recycling π isolve gas static temperature and the number of components density at lower a moment with Δ lnn, row iteration of going forward side by side calculates; Iterative computation meets arbitrary condition below and all will terminate:
(2c1) gas temperature that goes out of iterative computation and number of components density are less than 1% relative to the value change of last iterative;
(2c2) iterations reaches restriction iterative steps, and general restriction iterative steps is 20.
In step (3) by pressure p s, gas static temperature T and concentration of component c jobtain position, stationary point peak electron density Ne sdetermination mode as follows:
Wherein, Π is Avogadro constant number; c qfor c ja subset; M qit is the molecular weight of q component; M jfor the molecular weight of a jth component; R is gas law constant.
Returner flow field peak electron density in step (5) to solve mode as follows:
Ne=Ne s·(p/p s)。
The present invention's advantage compared with prior art:
(1) current carry out returner reenter communicating interrupt analyze time, need to obtain returner whole flow field electron density distribution by solving multicomponent chemical reaction Navier-Stokes equation, and this method moves the feature (position, stationary point peak electron density, stagnation pressure and wall pressure) close to equiulbrium flow by the large underflow of analysis returner, analyze and obtain region, stationary point peak electron density, and then provide whole flow field peak electron density, carry out returner and reenter communicating interrupt analysis.Compared to prior art, the present invention is under the prerequisite ensureing computational accuracy, and assess the cost and greatly reduce, counting yield improves 10 times, and reliability strengthens greatly.
Accompanying drawing illustrates:
Fig. 1 is the inventive method process flow diagram;
Fig. 2 is computation model schematic diagram of the present invention;
Fig. 3 is that the present invention simulates the distribution of gained plasma;
Fig. 4 is method for quick predicting gained peak electron density of the present invention distribution;
Fig. 5 is that the present invention and prior art gained peak electron density contrast.
Embodiment
Below in conjunction with accompanying drawing, principle of work of the present invention and the course of work are further explained and are illustrated.
As shown in Figure 1, a kind of returner flow field of the present invention peak electron density method for quick predicting, comprises the following steps:
(1) according to inlet flow conditions determination air-flow total enthalpy h s, and according to gaseous tension p after isentropic relation formula determination shock wave s; Described inlet flow conditions comprises free stream Mach number M , static temperature T , static pressure p ;
Air-flow total enthalpy is determined by following formula:
h s = Cp · T ∞ + 1 2 U ∞ 2
Wherein, C prepresent gas specific heat at constant pressure; U represent speed of incoming flow; T represent static temperature.
Gaseous tension p after shock wave sdetermination mode as follows:
p s = p 01 × ( 2 γ γ + 1 M ∞ 2 - γ - 1 γ + 1 ) - 1 γ - 1 × [ ( γ + 1 ) M ∞ 2 ( γ - 1 ) M ∞ 2 + 2 ] γ γ - 1
Wherein, p 01represent shock wave front gaseous tension, γ is specific heats of gases ratios; M represent free stream Mach number; p represent static pressure.
(2) position, stationary point gas static temperature T, concentration of component c is solved j;
Gas temperature T, concentration of component c jdetermination mode as follows:
(2a) given initial gas static temperature and number of components density, solves following equation and obtains π iwith Δ lnn:
Σ i = 1 l Σ j = 1 m a kj a ij n j π i + Σ j = 1 m a kj n j Δ ln n + ( Σ j = 1 m a kj n j ( H T 0 ) j / RT ) Δ ln T = ( b k 0 - b k ) + Σ j = 1 m a kj n j g j / RT
Σ i = 1 l Σ j = 1 m a ij n j π i + ( Σ j = 1 m n j - n ) Δ ln n + ( Σ j = 1 m n j H Tj 0 / RT ) Δ ln T = n - Σ j = 1 m n j + Σ j = 1 m n j g j / RT Wherein, n jfor the number density of component j, g jfor the free energy of component j, a kj, a ijbe respectively the related coefficient of component j about element k and i, b kfor element k in every kg gas potpourri kilogram-molal quantity, for gas composition j is at the enthalpy of standard temperature (T=298.15K), π ifor the number of element i takes advantage of the factor; L represents total number of element; M represents the sum of gas composition; N represents the number density summation of gas; R represents gas law constant, gets 8314G/kg.k;
(2b) by the π obtained in step (2a) iwith Δ lnn, solve number of components density n jwith concentration of component c j, and then utilize concentration of component c jwith enthalpy of the gases h sreverse obtains current gas static temperature T:
Δ ln n j = Σ i = 1 l a ij π i + Δ ln n + ( H T 0 ) j Δ ln T / RT - g j / RT
c j = n j M j / Σ j = 1 m n j m j
Wherein, m jfor the molecular mass of component j;
(2c) formula in the current gas static temperature utilizing step (2b) to solve and number of components density and step (2a), solves the π at lower a moment iwith Δ lnn, recycling π isolve gas static temperature and the number of components density at lower a moment with Δ lnn, row iteration of going forward side by side calculates; Iterative computation meets arbitrary condition below and all will terminate:
(2c1) gas temperature that goes out of iterative computation and number of components density are less than 1% relative to the value change of last iterative;
(2c2) iterations reaches restriction iterative steps, and general restriction iterative steps is 20.
(3) by pressure p s, gas static temperature T, concentration of component c j, solve and obtain position, stationary point peak electron density Ne s;
By pressure p s, gas static temperature T and concentration of component c jobtain position, stationary point peak electron density Ne sdetermination mode as follows:
Wherein, Π is Avogadro constant number; c qfor c ja subset; M qit is the molecular weight of q component; M jfor the molecular weight of a jth component; R is gas law constant.
(4) solve Eulerian equation and obtain returner surface pressure distribution p;
(5) by region, stationary point peak electron density Ne s, returner surface pressing p solves and obtains returner flow field peak electron density.
Returner flow field peak electron density in step (5) to solve mode as follows:
Ne=Ne s·(p/p s)。
Below in conjunction with specific embodiment, the present invention is further explained:
The present invention is directed to returner to reenter profile and be analyzed.Returner has back taper solid of revolution profile blunt nosed greatly, and diameter of the large end is about 1.24m, total length 1.252m, as shown in Figure 2.Quick calculation method under comparative analysis 2 inlet flow conditions and method for numerical simulation gained peak electron density.Be height H=85km, Ma=26. and height H=55km, Ma=16 respectively, these two states are positioned at the initial stage of reentering and reenter latter stage, are the important references trajectory points judging communicating interrupt.
Fig. 3 gives numerical simulation gained two state flow field electron density distribution (left figure: height H=85km right figure: height H=55km).Can see for returner profile, its ambient electron Density Distribution has typical feature: the strong constricted zone in the large end is the most concentrated area of electron density, and windward side electron density is higher than lee face, and lee face still exists the electron density of larger amt.
Fig. 4 under providing 2 states around method for quick predicting gained aircraft of the present invention peak electron density distribution (left figure: height H=85km right figure: height H=55km).
Fig. 5 provides method for quick predicting of the present invention and method for numerical simulation gained windward side and lee face peak electron density and contrasts.Can see that method for quick predicting gained peak electron density of the present invention and method for numerical simulation gained meet better, method for quick predicting in position, the large end a little less than numerical simulation result, difference is within 50%, all numerical simulation result is greater than in other positions, maximum difference is within 3-5 times, be no more than half order of magnitude, meet design requirement.For crossing shoulder expansion area, cause wall pressure to reduce fast owing to crossing shoulder gas expansion, method for quick predicting gained electron density distribution of the present invention is lower than virtual condition herein.
Table 1 provides the institute's spended time contrast in two states of two kinds of distinct methods.
Table 1 two kinds of method contrasts consuming time (d: sky h: hour)
H=85km H=55km
Method for numerical simulation 12d6h 10d6h
The present invention 1d 1d
Comprehensive above comparative analysis can obtain drawing a conclusion: method for quick predicting of the present invention can provide peak electron density distribution around returner faster, and gained electron density distribution differ with numerical simulation result meet design needs, can for signal of communication interruption initial analysis data supporting is provided.
The unexposed technology of the present invention belongs to general knowledge as well known to those skilled in the art.

Claims (3)

1. a returner flow field peak electron density method for quick predicting, is characterized in that comprising the following steps:
(1) according to inlet flow conditions determination air-flow total enthalpy h s, and according to gaseous tension p after isentropic relation formula determination shock wave s; Described inlet flow conditions comprises free stream Mach number M , static temperature T , static pressure p ;
(2) position, stationary point gas static temperature T, concentration of component c is solved j;
(3) by pressure p s, gas static temperature T, concentration of component c j, solve and obtain position, stationary point peak electron density Ne s;
(4) solve Eulerian equation and obtain returner surface pressure distribution p;
(5) by region, stationary point peak electron density Ne s, returner surface pressing p solves and obtains returner flow field peak electron density.
2. a kind of returner flow field according to claim 1 peak electron density method for quick predicting, is characterized in that: the gas temperature T in described step (2), concentration of component c jdetermination mode as follows:
(2a) given initial gas static temperature and number of components density, solves following equation and obtains π iwith Δ ln n:
Σ i = 1 l Σ j = 1 m a kj a ij n j π j + Σ j = 1 m a kj n j Δ ln n + ( Σ j = 1 m a kj n j ( H T 0 ) j / RT ) Δ ln T = ( b k 0 - b k ) + Σ j = 1 m a kj n j g j / RT Σ i = 1 l Σ j = 1 m a ij n j π i + ( Σ j = 1 m n j - n ) Δl n + ( Σ j = 1 m n j H Tj 0 / RT ) Δ ln T = n - Σ j = 1 m n j + Σ j = 1 m n j g j / RT
Wherein, n jfor the number density of component j, g jfor the free energy of component j, a kj, a ijbe respectively the related coefficient of component j about element k and i, b kfor element k in every kg gas potpourri kilogram-molal quantity, for gas composition j is at the enthalpy of standard temperature, π ifor the number of element i takes advantage of the factor; L represents total number of element; M represents the sum of gas composition; N represents the number density summation of gas; R represents gas law constant, gets 8314J/kg-K;
(2b) by the π obtained in step (2a) iwith Δ ln n, solve number of components density n jwith concentration of component c j, and then utilize concentration of component c jwith enthalpy of the gases h sreverse obtains current gas static temperature T:
Δ ln n j = Σ i = 1 l a ij π i + Δ ln n + ( H T 0 ) j Δ ln T / RT - g j / RT
c j = n j M j / Σ j = 1 m n j m j
Wherein, m jfor the molecular mass of component j;
(2c) formula in the current gas static temperature utilizing step (2b) to solve and number of components density and step (2a), solves the π at lower a moment iwith Δ ln n, recycling π isolve gas static temperature and the number of components density at lower a moment with Δ ln n, row iteration of going forward side by side calculates; Iterative computation meets arbitrary condition below and all will terminate:
(2c1) gas temperature that goes out of iterative computation and number of components density are less than 1% relative to the value change of last iterative;
(2c2) iterations reaches restriction iterative steps, and general restriction iterative steps is 20.
3. a kind of returner flow field according to claim 1 peak electron density method for quick predicting, is characterized in that: the returner flow field peak electron density in described step (5) to solve mode as follows:
Ne=Ne s·(p/p s)。
CN201510035760.0A 2015-01-23 2015-01-23 A kind of recoverable capsule flow field peak electron density method for quick predicting Active CN104615580B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510035760.0A CN104615580B (en) 2015-01-23 2015-01-23 A kind of recoverable capsule flow field peak electron density method for quick predicting

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510035760.0A CN104615580B (en) 2015-01-23 2015-01-23 A kind of recoverable capsule flow field peak electron density method for quick predicting

Publications (2)

Publication Number Publication Date
CN104615580A true CN104615580A (en) 2015-05-13
CN104615580B CN104615580B (en) 2017-06-27

Family

ID=53150032

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510035760.0A Active CN104615580B (en) 2015-01-23 2015-01-23 A kind of recoverable capsule flow field peak electron density method for quick predicting

Country Status (1)

Country Link
CN (1) CN104615580B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110489829A (en) * 2019-07-31 2019-11-22 中国航发沈阳发动机研究所 A kind of air system Design Method of Fixture Elements based on discharge characteristic

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1361863A (en) * 1999-07-21 2002-07-31 东京电子株式会社 Electron density measurement and plasma process control system using changes in the resonant frequency of an open resonator containing the plasma
CN201096521Y (en) * 2007-11-06 2008-08-06 南京理工大学 Non-contact type plasma temperature and electron density measuring apparatus
JP4275422B2 (en) * 2003-02-06 2009-06-10 三菱電機株式会社 Electromagnetic field analysis apparatus and electromagnetic field analysis method
CN103068136A (en) * 2012-12-11 2013-04-24 华中科技大学 Discharge plasma electron density measuring device and method based on two-quadrant detector
JP5478924B2 (en) * 2009-03-29 2014-04-23 学校法人中部大学 Measuring method and measuring apparatus capable of measuring electron density and / or electron collision frequency of high pressure plasma

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1361863A (en) * 1999-07-21 2002-07-31 东京电子株式会社 Electron density measurement and plasma process control system using changes in the resonant frequency of an open resonator containing the plasma
JP4275422B2 (en) * 2003-02-06 2009-06-10 三菱電機株式会社 Electromagnetic field analysis apparatus and electromagnetic field analysis method
CN201096521Y (en) * 2007-11-06 2008-08-06 南京理工大学 Non-contact type plasma temperature and electron density measuring apparatus
JP5478924B2 (en) * 2009-03-29 2014-04-23 学校法人中部大学 Measuring method and measuring apparatus capable of measuring electron density and / or electron collision frequency of high pressure plasma
CN103068136A (en) * 2012-12-11 2013-04-24 华中科技大学 Discharge plasma electron density measuring device and method based on two-quadrant detector

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
A.ZABOLOTSKY ET AL: "《Influence of particle sources on electron density peaking in TCV and JET》", 《NUCLEAR FUSION》 *
FG BLOTNER: "《Prediction of Electron Density in Boundary layer on entry vehicles with ablation》", 《NASA SPECIAL PUBLICATION》 *
李海燕: "《高超声速高温气体流场的数值模拟》", 《中国博士学位论文全文数据库工程科技II辑》 *
程晓丽: "《模型烧蚀尾迹电子特性影响的计算和实验研究》", 《航空学报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110489829A (en) * 2019-07-31 2019-11-22 中国航发沈阳发动机研究所 A kind of air system Design Method of Fixture Elements based on discharge characteristic
CN110489829B (en) * 2019-07-31 2022-11-22 中国航发沈阳发动机研究所 Air system element design method based on flow characteristics

Also Published As

Publication number Publication date
CN104615580B (en) 2017-06-27

Similar Documents

Publication Publication Date Title
CN103366052A (en) Method for analyzing hot pneumostatic elasticity of hypersonic aerocraft
CN109632237B (en) System and method for accurately adjusting air flow parameters of arc heater
CN106528990B (en) A kind of hypersonic pointed cone shape heat flow density modeling method based on functional optimization
CN102779198B (en) Method for building dynamic simulation system of natural gas pipeline network conveying system
CN106777642B (en) A kind of Forecasting Methodology of film cooling structure discharge coefficient
CN103473386A (en) Method for determining downburst wind profile of horizontal movement
CN102650565A (en) Turbofan propulsion simulator nacelle lip in wind tunnel simulated experiment and design method thereof
CN105467361A (en) Radio signal complex envelope and carrier phase information combination BVR (beyond visual range) target direct positioning method
Wang et al. A numerical study of the evolution of the solar wind from Ulysses to Voyager 2
CN109508504B (en) Aerodynamic characteristic correction method for rocket sled pulley system test
CN106596038A (en) Calculating method of supersonic-speed and hypersonic-speed mute wind tunnel spray pipe suction flow
CN104699947A (en) Method for simulating aircraft rock movement with RANS/LES (Reynolds average numerical simulation)/LES (large eddy simulation) mixing technique
Zhao et al. Numerical study of the cone angle effects on transition and convection heat transfer for hypersonic inflatable aerodynamic decelerator aeroshell
CN104615580A (en) Fast predicting method for peak value electron concentration of returner flow field
CN105550505A (en) Method and system for determining gas diffusion range
Yunpeng et al. Theories and methods for designing hypersonic high-enthalpy flow nozzles
CN106844820B (en) Carbon dioxide inflow parameter determination method based on deep space exploration test
CN105975677A (en) Method for rapidly predicting aerodynamic characteristics of low-orbit spacecraft having complex shape
CN103676652A (en) Dynamic modeling method of flash evaporator
Hu et al. Shock wave standoff distance of near space hypersonic vehicles
CN102034270A (en) Chinese road spectrum database-based typical pavement extraction and synthesis method
CN107944116A (en) A kind of transient energy for Time variable structure responds efficient predicting method
CN106991209B (en) Mars atmosphere real gas environment pneumatic characteristic prediction method
Kimmel et al. Characteristics of cometary picked‐up ions in a global model of Giacobini‐Zinner
Brong The flow field about a right circular cone in unsteady flight

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant