CN110489832A - A kind of simulating experimental for turbulence control screen cell cube aeroperformance - Google Patents
A kind of simulating experimental for turbulence control screen cell cube aeroperformance Download PDFInfo
- Publication number
- CN110489832A CN110489832A CN201910701891.6A CN201910701891A CN110489832A CN 110489832 A CN110489832 A CN 110489832A CN 201910701891 A CN201910701891 A CN 201910701891A CN 110489832 A CN110489832 A CN 110489832A
- Authority
- CN
- China
- Prior art keywords
- loss
- honeycomb
- region
- model
- coefficient
- 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
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Catalysts (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This application involves a kind of simulating experimentals for turbulence control screen cell cube aeroperformance, simulating experimental includes: construction unit body Model or the turbulence control screen model with cell cube, the zoning of unit model is divided into upstream fluid region, honeycomb porous media region and downstream fluid region by air flow direction, is connected between two neighboring region with interface;The boundary condition of numerical simulation is set;Determine the face porosity, body porosity and loss model in honeycomb porous media region;Numerical simulation tests are carried out to cell cube or turbulence control screen model, obtain simulation result.The simulating experimental of the application is honeycomb as porous media model, grid dividing is directly carried out for honeycomb overall region, greatly simplify grid dividing step, reduce number of grid, and interface and honeycomb solid wall surface problem are not present inside grid, computational efficiency is improved, is connected between different zones using interface, improves computational accuracy.
Description
Technical field
The application belongs to aircraft engine acoustic experimental technique field, in particular to a kind of to be used for turbulence control screen cell cube
The simulating experimental of aeroperformance.
Background technique
As shown in Figure 1, turbulence control screen 1 is a kind of equipment for studying aircraft engine acoustic performance, it is usually
It is spliced to form a spherical shell by module unit bodies 2 up to a hundred, cell cube 2 is made of perforated plate 3 and honeycomb 4, is had on perforated plate 3
There are multiple honeycomb holes 31 matched with honeycomb 4, in cell cube 2, honeycomb 4 has the aeroperformance of turbulent flow screen
Conclusive effect.
Currently, to the aerodynamic characteristic research of honeycomb cell body, there are mainly two types of methods:
One is experimental tests, i.e., it is special to obtain the pitot loss between honeycomb cell body upstream and downstream using total pressure probe
Property, particle image velocimetry method (Particle Image Velocimetry, PIV) acquiring unit body exit flow field point is utilized later
Cloth.However such method is smaller in speed of incoming flow, such as speed of incoming flow be 5m/s or less when, by the total of honeycomb cell body
Crushing mistake is smaller, and the error of test result is larger.According to the range of flow tested than Fan/Compressor Operated that contracts at present, turbulence control
Shield cell cube speed of incoming flow and be below 5m/s greatly, therefore error is larger;There are trace particles, and difficulty is added when the measurement flow field PIV,
The problems such as trace particle is unevenly distributed;If analyzed and researched to the aerodynamic characteristic of entire turbulence control screen, the side of test
Method difficulty is big, at high cost, especially with flow field after PIV measurement turbulence control screen.
Another kind is l-G simulation test, i.e., models to honeycomb cell body or entire turbulence control screen, later to one
A honeycomb carries out grid dividing, then the grid of entire honeycomb cell body is obtained by way of array.In the method
In, entire zoning is carried out numerical simulation as fluid mass, wherein also including honeycomb region.However to a bee
Nest structure carries out grid dividing, and then the modeling method of array and corresponding simulating experimental, disadvantage are: 1) number of grid
It is huge, higher cost is calculated, efficiency is lower;2) interface between nets face, periodic boundary condition is excessive, so that grid is at interface
It is unevenly distributed, the flow field result of calculating is discontinuous;3) a large amount of solid wall surface of honeycomb interior, and solid wall surface has certain thickness
Degree, when modeling is grid dividing, it is difficult to handle;4) single honeycomb body fitted anisotropic mesh divides and calculating and setting ties calculating
Fruit is affected;5) result and test value that this modeling method and simulating experimental obtain differ greatly.
Therefore the aerodynamic characteristic for obtaining turbulence control screen cell cube needs a kind of new method.
Summary of the invention
The purpose of the application there is provided a kind of simulating experimental for turbulence control screen cell cube aeroperformance, with
Solve the problems, such as or mitigate at least one in background technique.
The technical solution of the application is: a kind of simulating experimental for turbulence control screen cell cube aeroperformance, institute
Stating simulating experimental includes:
Construction unit body Model or turbulence control screen model with cell cube, by the zoning of the unit model
Be divided into upstream fluid region, honeycomb porous media region and downstream fluid region by air flow direction, two neighboring region it
Between connected with interface;
The boundary condition of numerical simulation is set;
Determine the face porosity, body porosity and loss model in honeycomb porous media region;
Numerical simulation tests are carried out to the cell cube or turbulence control screen model, obtain simulation result.
In this application, it is described setting numerical simulation boundary condition before, further includes: to the unit model into
Row grid dividing.
In this application, the boundary condition of the setting numerical simulation, comprising:
Computer media in numerical simulation calculating is set, and the calculation medium is perfect gas;
The reference pressure of predetermined value is set in the upstream fluid region, honeycomb porous media region and downstream fluid region
Power;
Import stagnation pressure is arranged in import in the upstream fluid region, and the import stagnation pressure is zero, in the downstream fluid
Export boundary condition is arranged in the outlet in region, and the mouth boundary condition is mass flow outlet.
In this application, the loss model be along to loss, the edge to loss include flow direction, flow direction loss and
Lateral lost.
In this application, flow direction loss includes permeability and frictional-loss coefficient, or linear/square resistance system
Number.
In this application, the permeability K is
In formula: a is coefficient, and Q is the volume flow by porous media, and μ is the dynamic viscosity of air, and L is porous media
Thickness, A be honeycomb cross-sectional area, △ P be pressure difference.
In this application, the frictional-loss coefficient KlossFor
In formula: b is coefficient, and v is superficial velocity, and ρ is by the density of the fluid of honeycomb, and △ P is pressure difference, and L is more
The thickness of hole medium.
In this application, the linear resistance coefficient CR1ForDescribed square of resistance coefficient CR2For
In this application, the lateral lost is determined according to lateral resistance loss coefficient and horizontal permeability, wherein described
Lateral resistance loss coefficient is according to the determination of seizing the opportunity for flowing to resistance coefficient Yu flowing to K-ratio, and the analysis permeability is according to stream
It is determined to permeability with removing for K-ratio is flowed to.
In this application, the representative value for flowing to K-ratio is 10~100.
The simulating experimental for turbulence control screen cell cube aeroperformance of the application is honeycomb as porous
Dielectric model directly carries out grid dividing for honeycomb overall region, greatlies simplify grid dividing step, reduce net
Lattice quantity, and interface and honeycomb solid wall surface problem are not present inside grid, improve computational efficiency;In addition, meter
It calculates region and is divided into three parts, upstream and downstream is fluid mass, and centre is porous media region, is connected between different zones using interface
It connects, improves computational accuracy.The present processes have a clear superiority in terms of grid dividing, computational efficiency.The application's is imitative
The result and test value that true test method obtains are coincide preferably, and research cost and risk can be reduced.
Detailed description of the invention
In order to illustrate more clearly of technical solution provided by the present application, attached drawing will be briefly described below.It is aobvious and easy
Insight, drawings discussed below are only some embodiments of the present application.
Fig. 1 is turbulence control screen in the prior art and cell cube schematic diagram.
Fig. 2 is the present processes flow field schematic diagram.
Fig. 3 is that the honeycomb cell body l-G simulation test in the application calculates grid dividing schematic diagram.
Fig. 4 is that the honeycomb porous media structure of one embodiment of the application flows to permeability curve.
Fig. 5 is that the honeycomb porous media structure of one embodiment of the application flows to frictional-loss coefficient curve.
Fig. 6 is the simulating experimental of one embodiment of the application and the correlation curve of test measurement method.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application implementation clearer, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application is further described in more detail.
In order to solve, emulation mode in the prior art is long there are the grid dividing time, calculating is of long duration, computational accuracy is low
The problems such as, the simulating experimental for the turbulence control screen cell cube based on porous media model that present applicant proposes a kind of, mainly
It include: building model i.e. turbulence control screen cell cube grid dividing, the setting of numerical simulation boundary condition, honeycomb porous media flows
Loss model calculates.Specifically, including:
1, the building-of test model is divided based on the turbulence control screen cell cube of porous media model
When constructing test model, using honeycomb cell body as porous media processing.The class of cell cube region
Type is porous media, and the type of downstream area is fluid thereon, therefore entire zoning is divided into three parts, upstream flow
Body region, honeycomb porous media region and downstream fluid region.Two neighboring zoning is connected with Interface interface
It connects.
It is to be drawn to the grid that rectangular body region directly carries out to the grid dividing of turbulence control screen honeycomb cell body
Point.During this grid dividing, grid dividing is easy, and number of grid is less.The test model constructed in the application is not necessarily to
Consider internal cellular solid wall surface problem and internal Interface Problem, enormously simplifies grid dividing step.
2, numerical simulation boundary condition is arranged
For the numerical simulation of honeycomb cell body, the area type in upstream and downstream region is fluid mass (Fluid
Domain), the area type of cellular zone is porous media region (Porous Domain).Calculation medium is perfect gas, rapid
Flow model is k-Epsilon model.Calculating type is permanent calculating.
Three parts zoning reference pressure is disposed as 1 atmospheric pressure, and the import stagnation pressure in upstream fluid region is set as
0Pa.Since flow velocity of the upstream fluid region in zoning is lower, especially when flow velocity is 5m/s, dynamic pressure is opposite
It is smaller, when solving equation pressure term, influence in order to avoid truncated error to smaller pressure change, to improve computational accuracy,
Reference pressure is set as 1 atmospheric pressure.
The export boundary condition in downstream fluid region is set as mass flow outlet.
3, honeycomb porous media flows loss model calculates
During carrying out CFX numerical simulation to porous media, it is thus necessary to determine that face porosity (Area porosity), body
Porosity (Volume porosity) and loss model (Loss models).
Face porosity refers to the area A ' (A '=KA) for allowing fluid to flow through on infinitely small control plane A, and K is one right
The second-order tensor of title.At present in CFX analysis, only allow the isotropic face (Isotropic) porosity tensor K.
Body porosity refers to the ratio between the volume for allowing fluid to flow through and physical size.The size for indicating honeycomb, is to set
Count one important indicator of turbulence control screen cell cube.
Loss model has isotropic loss (Isotropic Loss) and edge to loss (Directional Loss), bee
The loss model of nest structure belongs to the latter.It is divided into terms of three along the research to loss: a: flow direction;B: flow direction loss;C:
Lateral lost.The corresponding loss speed type of loss model (Loss Velocity Type): it can choose superficial velocity
(Superficial) or true velocity (True Velocity).Superficial velocity is the flow velocity calculated according to physical area, i.e.,
It is found out according to flow and the physical area calculating for passing through porous media.True velocity is the flow velocity in cellular mediums.This method choosing
Select superficial velocity.
A: flow direction (Stream Wise Direction):
Flow direction can choose to be indicated under cartesian coordinate system or cylindrical-coordinate system.It is selected in the embodiment of the present application
Fluid flow direction is indicated in cartesian coordinate system.For honeycomb porous media cell cube numerical simulation.If flowing
Direction along Z axis, then Z-direction velocity component be 1 (represent whether there is or not), X and Y-direction velocity component are 0.
B: flow direction loss (Stream Wise Loss):
Flow direction loss can choose permeability K and frictional-loss coefficient Kloss(Permeability and Resistance
Loss Coefficient), or it is linear and square resistance coefficient (Linear and Quadratic Resistance
Coefficients)。
Permeability K calculation method:
In formula: Q --- pass through the volume flow of porous media;
The dynamic viscosity of μ --- air;
The thickness of L --- porous media;
The cross-sectional area of A --- honeycomb;
△ P --- pressure difference, the pressure drop after flowing through honeycomb, test obtain.
A --- the coefficient in this calculation method;
Frictional-loss coefficient KlossCalculation method:
V --- superficial velocity;
ρ --- by the density of the fluid of honeycomb;
B --- the coefficient in this calculation method;
In above formula calculating process, coefficient a and coefficient b are by multiple Numerical Simulation Results and cell cube blowing test knot
Fruit comparison, the conclusion obtained.
Linear resistance coefficient CR1With square resistance coefficient CR2With permeability K and frictional-loss coefficient KlossBetween relationship
It is as follows:
In the simulating experimental of one embodiment of the application, when determining flow direction loss, using permeability and drag losses
The method of coefficient.
C: lateral lost (Transverse Loss):
In honeycomb, only it is allowed to along the flowing of cellular direction, and lateral flow is prevented from.Lateral lost should
Selection flows to K-ratio (Streamwise Coefficients Multiplier), the i.e. permeability and resistance of lateral lost
Loss coefficient is lost by flow direction and is flowed to two factors of K-ratio and determined:
1) lateral resistance loss coefficient is obtained by flowing to frictional-loss coefficient multiplied by this multiple;
2) horizontal permeability is obtained by the permeability flowed to divided by this multiple.
Wherein, the representative value for flowing to K-ratio is 10-100.For honeycomb shown in Fig. 2 in the application, this
Multiplier value should be 100, this means that transverse direction drag losses are very big, permeability is extremely low, and the flowing of transverse direction is almost complete
It is obstructed entirely, meets practical flow operating mode.
As shown in Figure 3 and Figure 4, first according to test obtain the pressure drop after turbulence control screen honeycomb cell body and
Speed of incoming flow permeability and flows to the calculating side of loss coefficient according to flowing to of proposing in the simulating experimental of the application later
Method is it can be concluded that flowing to permeability and flowing to loss coefficient.
As shown in figure 5, by being tested and being emulated to obtaining data in Fig. 3 and Fig. 4, in figure 5 it can be seen that base in the application
The Numerical Simulation Results obtained in the simulating experimental of the turbulence control screen Unit agent structure of porous media (pressure drop and carry out flow velocity
Spend function) curve, be almost overlapped with the result curve that the method for test measurement obtains, thus demonstrate the application based on
The correctness of the l-G simulation test of the turbulence control screen Unit agent structure of porous media.
The simulating experimental for turbulence control screen cell cube aeroperformance of the application is honeycomb as porous
Dielectric model directly carries out grid dividing for honeycomb overall region, greatlies simplify grid dividing step, reduce net
Lattice quantity, and interface and honeycomb solid wall surface problem are not present inside grid, improve computational efficiency;In addition, meter
It calculates region and is divided into three parts, upstream and downstream is fluid mass, and centre is porous media region, is connected between different zones using interface
It connects, improves computational accuracy.The present processes have a clear superiority in terms of grid dividing, computational efficiency.The application's is imitative
The result and test value that true test method obtains are coincide preferably, and research cost and risk can be reduced.
The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any
Within the technical scope of the present application, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
Cover within the scope of protection of this application.Therefore, the protection scope of the application should be with the scope of protection of the claims
It is quasi-.
Claims (10)
1. a kind of simulating experimental for turbulence control screen cell cube aeroperformance, which is characterized in that the l-G simulation test
Method includes
Gas is pressed in the zoning of the unit model by construction unit body Model or turbulence control screen model with cell cube
Stream flow direction is divided into upstream fluid region, honeycomb porous media region and downstream fluid region, uses between two neighboring region
Interface connection;
The boundary condition of numerical simulation is set;
Determine the face porosity, body porosity and loss model in honeycomb porous media region;
Numerical simulation tests are carried out to the cell cube or turbulence control screen model, obtain simulation result.
2. the method as described in claim 1, which is characterized in that before the boundary condition of the setting numerical simulation, also wrap
It includes: grid dividing is carried out to the unit model.
3. the method as described in claim 1, which is characterized in that the boundary condition of the setting numerical simulation, including
Computer media in numerical simulation calculating is set, and the calculation medium is perfect gas;
The reference pressure of predetermined value is set in the upstream fluid region, honeycomb porous media region and downstream fluid region;
Import stagnation pressure is arranged in import in the upstream fluid region, and the import stagnation pressure is zero, in the downstream fluid region
Outlet be arranged export boundary condition, the mouth boundary condition be mass flow export.
4. the method as described in claim 1, which is characterized in that the loss model is along to loss, and the edge is wrapped to loss
Include flow direction, flow direction loss and lateral lost.
5. method as claimed in claim 4, which is characterized in that the flow direction loss includes permeability and frictional-loss coefficient,
Or it is linear/square resistance coefficient.
6. method as claimed in claim 5, which is characterized in that the permeability K is
In formula: a is coefficient, and Q is the volume flow by porous media, and μ is the dynamic viscosity of air, and L is the thickness of porous media
Degree, A are the cross-sectional area of honeycomb, and △ P is pressure difference.
7. method as claimed in claim 5, which is characterized in that the frictional-loss coefficient KlossFor
In formula: b is coefficient, and v is superficial velocity, and ρ is by the density of the fluid of honeycomb, and △ P is pressure difference, and L is porous Jie
The thickness of matter.
8. method according to claim 6 or 7, which is characterized in that the linear resistance coefficient CR1ForIt is described
Square resistance coefficient CR2For
9. method as claimed in claim 4, which is characterized in that the lateral lost is according to lateral resistance loss coefficient and transverse direction
Permeability determines, wherein the lateral resistance loss coefficient seizes the opportunity determination with flow to K-ratio according to flowing to resistance coefficient,
It is described analysis permeability according to flow to permeability with flow to K-ratio except determine.
10. method as claimed in claim 9, which is characterized in that the representative value for flowing to K-ratio is 10~100.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910701891.6A CN110489832B (en) | 2019-07-31 | 2019-07-31 | Simulation test method for pneumatic performance of turbulence control screen unit body |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910701891.6A CN110489832B (en) | 2019-07-31 | 2019-07-31 | Simulation test method for pneumatic performance of turbulence control screen unit body |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110489832A true CN110489832A (en) | 2019-11-22 |
CN110489832B CN110489832B (en) | 2023-05-23 |
Family
ID=68547765
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910701891.6A Active CN110489832B (en) | 2019-07-31 | 2019-07-31 | Simulation test method for pneumatic performance of turbulence control screen unit body |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110489832B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111709142A (en) * | 2020-06-18 | 2020-09-25 | 北京新研创能科技有限公司 | Method for simplifying fluid simulation model of whole fuel cell stack |
CN112395694A (en) * | 2020-12-03 | 2021-02-23 | 中国人民解放军国防科技大学 | Drag reduction control method for ultrahigh-speed turbulent boundary layer |
CN114151139A (en) * | 2021-10-20 | 2022-03-08 | 中国航发四川燃气涡轮研究院 | Method for simulating flow of air film hole cold air layer on surface of turbine blade by adopting permeation model |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106446316A (en) * | 2016-05-13 | 2017-02-22 | 中国航空工业集团公司沈阳发动机设计研究所 | Design method for centrifugal ventilator adopting honeycomb structure |
CN106528972A (en) * | 2016-10-31 | 2017-03-22 | 山西新华化工有限责任公司 | Canister gas flow simulation test method |
CN106557612A (en) * | 2016-10-18 | 2017-04-05 | 华南理工大学 | A kind of aeroperformance emulated computation method of process of truck wind-shielding |
WO2017084106A1 (en) * | 2015-11-20 | 2017-05-26 | 田川 | System and method for numerical simulation of aircraft flow field |
CN109063257A (en) * | 2018-07-02 | 2018-12-21 | 山东科技大学 | A kind of coal and rock subregion water filling seepage flow-damage-stress coupling method for numerical simulation |
-
2019
- 2019-07-31 CN CN201910701891.6A patent/CN110489832B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017084106A1 (en) * | 2015-11-20 | 2017-05-26 | 田川 | System and method for numerical simulation of aircraft flow field |
CN106446316A (en) * | 2016-05-13 | 2017-02-22 | 中国航空工业集团公司沈阳发动机设计研究所 | Design method for centrifugal ventilator adopting honeycomb structure |
CN106557612A (en) * | 2016-10-18 | 2017-04-05 | 华南理工大学 | A kind of aeroperformance emulated computation method of process of truck wind-shielding |
CN106528972A (en) * | 2016-10-31 | 2017-03-22 | 山西新华化工有限责任公司 | Canister gas flow simulation test method |
CN109063257A (en) * | 2018-07-02 | 2018-12-21 | 山东科技大学 | A kind of coal and rock subregion water filling seepage flow-damage-stress coupling method for numerical simulation |
Non-Patent Citations (1)
Title |
---|
刘占一等: "基于CFD技术的泵喷推进器水动力性能仿真方法", 《西北工业大学学报》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111709142A (en) * | 2020-06-18 | 2020-09-25 | 北京新研创能科技有限公司 | Method for simplifying fluid simulation model of whole fuel cell stack |
CN112395694A (en) * | 2020-12-03 | 2021-02-23 | 中国人民解放军国防科技大学 | Drag reduction control method for ultrahigh-speed turbulent boundary layer |
CN112395694B (en) * | 2020-12-03 | 2023-05-02 | 中国人民解放军国防科技大学 | Drag reduction control method for ultra-high-speed turbulence boundary layer |
CN114151139A (en) * | 2021-10-20 | 2022-03-08 | 中国航发四川燃气涡轮研究院 | Method for simulating flow of air film hole cold air layer on surface of turbine blade by adopting permeation model |
CN114151139B (en) * | 2021-10-20 | 2023-09-19 | 中国航发四川燃气涡轮研究院 | Method for simulating cold air layer flow of air film holes on surface of turbine blade by adopting permeation model |
Also Published As
Publication number | Publication date |
---|---|
CN110489832B (en) | 2023-05-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110489832A (en) | A kind of simulating experimental for turbulence control screen cell cube aeroperformance | |
Choi et al. | The return to isotropy of homogeneous turbulence | |
CN103530482B (en) | Propeller noise Numerical Prediction Method in a kind of nonlinear inflow | |
Wallace | Space-time correlations in turbulent flow: A review | |
CN107832494A (en) | Hypersonic aircraft leading edge stream thermosetting integration computational methods | |
Yauwenas et al. | The effect of aspect ratio on the wake structure of finite wall-mounted square cylinders | |
Chung et al. | On the mechanism of air pollutant removal in two-dimensional idealized street canyons: a large-eddy simulation approach | |
Piellard et al. | Direct aeroacoustics simulation of automotive engine cooling fan system: effect of upstream geometry on broadband noise | |
CN112765736A (en) | Method for setting boundary of turbulent kinetic energy inlet of hypersonic-velocity blunt leading edge around flow | |
CN109033664A (en) | Based on the considerations of the architectural wind environment appraisal procedure of CFD building body draining effect | |
JP2016004031A (en) | Wind tunnel test system and wind tunnel test method | |
Chuang et al. | Numerical and experimental study of pump sump flows | |
Nardecchia et al. | CFD analysis of urban canopy flows employing the V2F model: Impact of different aspect ratios and relative heights | |
CN109489745A (en) | A kind of flow metering method based on data iteration | |
Zanon et al. | Assessment of the broadband noise from an unducted axial fan including the effect of the inflow turbulence | |
Zhou et al. | Computational analysis of noise generation by a rotor at the rear of an axisymmetric body of revolution | |
CN105628559A (en) | Shale gas diffusion capability detection method, device and system | |
De Gennaro et al. | Zonal large eddy simulation for numerical prediction of the acoustic performance of an axial fan | |
CN106599395A (en) | Numerical simulation calculation method for noise of oil immersed transformer | |
Clapp et al. | Validating J-factor as a predictive method for the repeatability of aircraft store separation from unsteady cavity environments | |
CN104793013A (en) | Application of honeycomb duct in molecule-electron induction accelerometer | |
KULAK et al. | Reduction of wind tunnel turbulence intensity by installation of a honeycomb straightener-CFD simulation vs experiment | |
Hou et al. | Numerical simulation of gas flow in an electrostatic precipitator | |
Akar et al. | Computational modelling and analysis of porous bleed holes at supersonic speeds | |
Zhou et al. | Quantitative study on energy dissipation mechanism of metal rubber by an enhanced turbulence model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |