CN107330150A - A kind of method for optimizing DTB crystallizer diversions cylinder based on Fluent - Google Patents
A kind of method for optimizing DTB crystallizer diversions cylinder based on Fluent Download PDFInfo
- Publication number
- CN107330150A CN107330150A CN201710397879.1A CN201710397879A CN107330150A CN 107330150 A CN107330150 A CN 107330150A CN 201710397879 A CN201710397879 A CN 201710397879A CN 107330150 A CN107330150 A CN 107330150A
- Authority
- CN
- China
- Prior art keywords
- dtb
- crystallizers
- fluent
- crystallizer
- model
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D9/00—Crystallisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
Abstract
The invention discloses a kind of method for optimizing DTB crystallizer diversions cylinder based on Fluent：First, several DTB crystallizer geometrical models are set up；Secondly, using Gambit pre-processing softwares, mesh generation is carried out to each DTB crystallizers geometrical model；Then, single-phase simulation is carried out using cfdrc Fluent, to the DTB crystallizers flow field under a series of different stir speed (S.S.)s of DTB crystallizers simulation of same geometry；Finally, guide shell volume circular flow and moment of torsion of the different DTB crystallizers under different stir speed (S.S.)s are obtained using report functions, power of agitator is calculated according to torquemeter, internal circulating load power curve is drawn and is compared, the corresponding model of selection rightmost side curve is used as guide shell optimal model.The present invention proposes a kind of new guide shell size design prioritization scheme, improves DTB crystallizer diversion barrel structure design and optimization efficiency, and crystallizer operational efficiency is high after obtained optimization, and equipment operation energy consumption is low, can play good energy-conserving action.
Description
Technical field
The present invention relates to DTB crystallizers, more particularly to a kind of Numerical-Mode for optimizing DTB crystallizer diversions cylinder based on Fluent
Plan method.
Background technology
DTB crystallizers are a kind of higher crystallizers of the efficiency occurred the end of the fifties, are the principal modes of continuous crystalizer
One of, the crystallization process available for vacuum cooled method, evaporation, contact method and reaction method.Lead on feed liquid edge in crystallizer
Flow cartridge constitutes circulation canal and circulated, and internal circulating load is mixed for material, crystal is contacted with saturated solution and subsequent crystallographic
Growth has a major impact, important indicator when being DTB designs.
DTB crystallizers generally realize Matter Transfer with agitating mode, to make internal circulating load sufficiently large, can be using increase water conservancy diversion
The optimization method of the diameter of cylinder and oar, expands liquid circulation area with this, reaches required effect.But the increase of agitating paddle makes power
Also therefore increase, energy expenditure is increased in a way, be unfavorable for the purpose of energy-conservation.Thus subtract in increase internal circulating load and as far as possible
The dimensionally-optimised value of suitable guide shell is found between small energy consumption has more significance to crystallization industry.
DTB mold structures are complicated, the complete helpless of pure theoretical fluid mechanics.At present, DTB Latent Heats and
Optimization is generally required to be to obtain data by lot of experiments, and preferably device structure is obtained by analysis of experimental data.
This method needs the substantial amounts of various sizes of DTB mold structures of manufacture, while when also needing to carry out longer experimental study
Between, therefore, this design and optimization method has high financial cost and time cost, and equipment design and optimization efficiency is low
Under.Another conventional method is then purely to design device structure, such as guide shell inner loop passage by previous experiences
Area and external circulation conduit area are mutually equal.This pure Empirical Design often leads to equipment production product quality not
Height, operation efficiency is relatively low.
The content of the invention
The purpose of the present invention is to determine that reasonable water conservancy diversion cylinder size provides a kind of numerical computation method for DTB crystallizers, is utilized
The optimal water conservancy diversion cylinder size of DTB crystallizers of this method design, can improve the operational efficiency of DTB crystallizers, reduction equipment operation
Energy consumption.
The technical solution adopted in the present invention is：A kind of method for optimizing DTB crystallizer diversions cylinder based on Fluent, including
Following steps：
Step 1: setting up in several DTB crystallizer geometrical models, the DTB crystallizers geometrical model except guide shell is straight
Footpath and diameter of stirring paddle and the outer remainder size of height are completely the same；
Step 2: using Gambit pre-processing softwares, net is carried out to each DTB crystallizers geometrical model in step one
Lattice are divided, and obtain corresponding DTB crystallizers grid file；
Carried out Step 3: the DTB crystallizers grid file that step 2 is obtained imports cfdrc Fluent
Single-phase simulation, selects mathematical modeling, sets material properties, solving condition, boundary condition, and the DTB of same geometry is tied
Brilliant device simulates a series of DTB crystallizers flow field under different stir speed (S.S.)s and generates data file, completes all DTB crystallizers nets
Flow field simulation of the lattice file under different stir speed (S.S.)s；
Step 4: the data file application report functions of being obtained in step 3 are obtained into different DTB crystallizers in difference
Guide shell volume circular flow and moment of torsion under stir speed (S.S.), calculate power of agitator according to torquemeter, are painted in the same coordinate system
Internal circulating load-power curve of each DTB crystallizers simulation model is made, and is compared, the corresponding model of selection rightmost side curve is made
For guide shell optimal model.
Further, in described step two, every DTB crystallizers geometrical model is carried out after mesh generation, net is carried out
Lattice independence verifies that specific method is：Using cfdrc Fluent mesh adaption function to mesh refinement,
If grid computing result error is within 1%, show that result of calculation is unrelated with number of grid, without continuing refined net.
Further, in described step three, whether the flow field analysis to each stir speed (S.S.) Imitating is reasonable, flow field letter
The reasonable flow field then carried out under subsequent step, the unreasonable then adjusting parameter continuation simulation stir speed (S.S.) of information of flow of breath is up to it
Information of flow is reasonable.
Further, in described step four, the internal circulating load-power curve drawn under the same coordinate system, the rightmost side is bent
Line correspondence power under same loop amount is minimum, and correspondence internal circulating load is maximum under equal-wattage, the corresponding model water conservancy diversion of the curve
Cylinder size is optimal value.
The beneficial effects of the invention are as follows：
(1) in method for numerical simulation of the present invention, the case files preserved for the first time using Fluent read different grids
Model, changes oar area rotating speed, preserves and set result, reduce repetitive operation；
(2) The present invention gives a kind of new guide shell size design prioritization scheme, DTB crystallizer diversions are substantially increased
Barrel structure design and optimization efficiency, the crystallizer operational efficiency after obtained optimization is high, and equipment operation energy consumption is low, can play very
Good energy-conserving action.
Brief description of the drawings
Fig. 1 is the 530mm guide shell model meshes of embodiment one；
Fig. 2 is the 530mm guide shell model front views of embodiment one；
Fig. 3 is internal circulating load-power diagram under the different draft tube diameters of embodiment one；
Fig. 4 is the 630mm guide shell model meshes of embodiment two；
Fig. 5 is the 630mm guide shell model front views of embodiment two；
Fig. 6 is internal circulating load-power diagram under the different draft tube diameters of embodiment two；
Fig. 7 is the 260mm guide shell model meshes of embodiment three；
Fig. 8 is the 260mm guide shell model front views of embodiment three；
Fig. 9 is internal circulating load-power diagram under the different draft tube diameters of embodiment three.
Embodiment
Below in conjunction with the accompanying drawings and embodiment the invention will be further described.
With the raising and the appearance of increasingly perfect Fluid Mechanics Computation (CFD) simulation softward of computing power, profit
Use tricks fluid operator mechanical simulation software carry out device structure design and optimization be possibly realized, the present invention be based on calculate fluid force
The new method that simulation softward Fluent carries out DTB crystallizer diversion barrel structure design and optimizations is learned, with traditional Experimental Flowing Object power
Method is compared, and substantially increases equipment design and optimization efficiency.
A kind of method for being optimized DTB crystallizer diversions cylinder based on Fluent, is comprised the following steps：
Step 1: setting up several DTB crystallizers geometrical models (using Gambit or other modeling softwares), the DTB
Remainder size is completely the same in addition to draft tube diameter and diameter of stirring paddle and height in crystallizer geometrical model.
Step 2: using Gambit pre-processing softwares, net is carried out to each DTB crystallizers geometrical model in step one
Lattice are divided, and obtain corresponding DTB crystallizers grid file, and be divided into two computational fields：Oar area and other regions.Wherein, it is right
Every DTB crystallizers geometrical model is carried out after mesh generation, carries out mesh independent checking, is specially：Using calculating fluid force
Software Fluent mesh adaption function is learned to mesh refinement, if grid computing result error is within 1%, shows to calculate
As a result it is unrelated with number of grid, without continuing refined net.
Carried out Step 3: the DTB crystallizers grid file that step 2 is obtained imports cfdrc Fluent
Single-phase simulation, selects mathematical modeling, sets material properties, solving condition, boundary condition, and the DTB of same geometry is tied
Brilliant device simulates a series of DTB crystallizers flow field under different stir speed (S.S.)s and generates data file, completes all DTB crystallizers nets
Flow field simulation of the lattice file under different stir speed (S.S.)s.Wherein, whether the flow field analysis to each stir speed (S.S.) Imitating is reasonable,
Information of flow rationally then carries out subsequent step, and the unreasonable then adjusting parameter of information of flow (solving condition, boundary condition etc.) continues
The flow field under the stir speed (S.S.) is simulated until its information of flow is reasonable.
Being specifically configured to for single-phase simulation calculating is carried out using cfdrc Fluent：Asked using based on pressure
Solve the steady-state simulation of device；Using multiple system method, oar area uses moving reference system, other regions use quiet referential, oar area with
Other region joint faces set interface；Using SIMPLE Algorithm for Solving, discrete scheme is single order precision；Entrance is set to
Speed entrance, outlet is set to pressure export, and oar face is the surfaces of revolution；Using Navier Stokes equation, turbulence model is using mark
Quasi- k- ε equations, it is ensured that very fast rate of convergence.
Step 4: the data file application report functions of being obtained in step 3 are obtained into different DTB crystallizers in difference
Guide shell volume circular flow and moment of torsion under stir speed (S.S.), calculate power of agitator according to torquemeter, are painted in the same coordinate system
Internal circulating load-power curve of each DTB crystallizers simulation model is made, and is compared, rightmost side curve is right under same loop amount
Answer power minimum, correspondence internal circulating load is maximum under equal-wattage, the corresponding model water conservancy diversion cylinder size of the curve is optimal value, selection
The corresponding model of the curve is used as guide shell optimal model.
Embodiment one
A kind of method for optimizing DTB crystallizer diversions cylinder based on Fluent, is that DTB crystallizer diversions cylinder determines reasonable size
A kind of numerical computation method is provided, realized according to the following steps：
Step one：DTB crystallizers geometrical model is set up
5 kinds of DTB crystallizer geometrical models are set up using Gambit softwares, it is rotary shaft, 5 kinds of DTB crystallizer geometry to take z-axis
Model remaining size in addition to the diameter of guide shell and the diameter of agitating paddle and height is completely the same, each DTB crystallizers geometrical model
Guide shell it is highly identical, diameter is followed successively by 530mm, 730mm, 930mm, 1030mm, 1130mm, 530mm diameter of stirring paddle
500mm, height 120mm, remaining model diameter of stirring paddle and height are multiplied by respective draft tube diameter by 500mm and 120mm respectively
Determined with 530mm ratios.
Step 2：Simulation model mesh generation
Whole DTB crystallizer geometrical models are divided into 2 parts, Ji Jiang areas and other regions, and equal tetrahedral grid is divided, oar
Area is with pro function pair blade portion mesh refinements, minimum dimension 12, full-size 100, other area grid sizes 100, turnover
Mouth size 40.
Mesh independent is verified：
Analogue simulation precision and the quantity of accuracy and grid are closely related, and the more sizes of number of grid are smaller, discrete mistake
Difference will be reduced, but the increase of quantity can cause the increasing of amount of calculation, even result in the increase of iteration error, thus accuracy
Exist with number of grid and balance, reasonable number of grid, i.e. Independence need to be determined before evaluation work is carried out.Using method
Divided to be first directed to particular problem using size of mesh opening larger in zone of reasonableness, utilize Fluent mesh adaption function pair
Mesh refinement, until refined net result of calculation deviation is then believed that number of grid is unrelated with result of calculation, that is, ensures in 1%
Mesh independent.Required according to calculating task, using speed and internal circulating load as main monitoring object, with draft tube diameter
Exemplified by 530mm models, independence the result is shown in Table 1, wherein understand that number of grid can ensure computational accuracy more than 460,000,
Other models are identical with this verification mode, and final all model meshes quantity are determined between 450,000-50 ten thousand.
The 530mm guide shell crystallizer mesh independent the results of table 1
Step 3：The single-phase simulations of Fluent are calculated
Using the steady-state simulation based on Pressure solution device；Using multiple system method, oar area uses moving reference system, other areas
Domain uses quiet referential, and oar area sets interface with other region joint faces.SIMPLE Algorithm for Solving, discrete scheme is one
Rank precision；Material is set to water, and entrance is set to speed entrance, and outlet is set to pressure export, and oar face is the surfaces of revolution；Using receiving
Dimension-RANS, turbulence model uses standard k-ε equations, it is ensured that very fast rate of convergence.
Step 4：Draw internal circulating load-power diagram
For each model, arbitrarily change six stir speed (S.S.)s, obtain six pairs of internal circulating loads and the data of power, drafting is followed
Circular rector-power diagram (Fig. 3), selects curve corresponding draft tube diameter in the rightmost side to be used as optimum size, the present embodiment DTB by Fig. 3
The guide shell optimum diameter of crystallizer is 930mm.
Embodiment two
Step one：DTB crystallizers geometrical model is set up
4 kinds of DTB crystallizer geometrical models are set up using Gambit softwares, it is rotary shaft, 4 kinds of DTB crystallizer geometry to take z-axis
Model remaining size in addition to guide shell and agitating paddle is completely the same, and each DTB crystallizers geometrical model guide shell is highly identical, diameter
630mm is followed successively by, 730mm, 830mm, 930mm, 630mm diameter of stirring paddle 600mm, height 140mm, remaining model agitating paddle is straight
Footpath and height are multiplied by respective draft tube diameter by 600mm and 140mm respectively and determined with 630mm ratios.
Step 2：Simulation model mesh generation
Whole DTB crystallizer geometrical models are divided into 2 parts, Ji Jiang areas and other regions, and equal tetrahedral grid is divided, oar
Area is with pro function pair blade portion mesh refinements, the full-size 100 of minimum dimension 12, other area grid sizes 100, turnover
Mouth size 50.
Mesh independent is verified：
It is similar with embodiment one, required according to calculating task, using speed and internal circulating load as main monitoring object, with water conservancy diversion
Exemplified by cylinder diameter 630mm models, independence the result is shown in Table 2, wherein understanding that number of grid can ensure meter more than 520,000
Precision is calculated, other models are identical with this verification mode, final all model meshes quantity are determined between 500,000-55 ten thousand.
The 630mm guide shell crystallizer mesh independent the results of table 2
Step 3：The single-phase simulations of Fluent are calculated
Using the steady-state simulation based on Pressure solution device；Using multiple system method, oar area uses moving reference system, other areas
Domain uses quiet referential, and oar area sets interface with other region joint faces.SIMPLE Algorithm for Solving, discrete scheme is one
Rank precision；Material is set to water, and entrance is set to speed entrance, and outlet is set to pressure export, and oar face is the surfaces of revolution；Using receiving
Dimension-RANS, turbulence model uses standard k-ε equations, it is ensured that very fast rate of convergence.
Step 4：Draw internal circulating load-power diagram
For each model, arbitrarily change six stir speed (S.S.)s, obtain six pairs of internal circulating loads and the data of power, drafting is followed
Circular rector-power diagram (Fig. 6), selects curve corresponding draft tube diameter in the rightmost side to be used as optimum size, the present embodiment DTB by Fig. 6
The guide shell optimum diameter of crystallizer is 830mm.
Embodiment three：
Step one：DTB crystallizers geometrical model is set up；
8 kinds of DTB crystallizer geometrical models are set up using Gambit softwares, it is rotary shaft, 8 kinds of DTB crystallizer geometry to take z-axis
Model remaining size in addition to guide shell and agitating paddle is completely the same, and each model guide shell is highly identical, and diameter is followed successively by 260mm,
360mm, 460mm, 560mm, 660mm, 710mm, 760mm, 860mm, 260mm diameter of stirring paddle 250mm, height 60mm, remaining
Model diameter of stirring paddle and height are multiplied by respective draft tube diameter by 250mm and 60mm respectively and determined with 260mm ratios.
Step 2：Simulation model mesh generation
Whole computational fields model meshes are divided into 2 parts, Ji Jiang areas and other regions, and equal tetrahedral grid is divided, oar area
With pro function pair blade portion mesh refinements, full-size 60, stator area is to overflow loop section refined net, full-size 60,
Import and export size 20.
Mesh independent is verified：
It is similar with embodiment one, required according to calculating task, using speed and internal circulating load as main monitoring object, with water conservancy diversion
Exemplified by cylinder diameter 260mm models, independence the result is shown in Table 3, wherein understanding that number of grid can ensure meter more than 460,000
Precision is calculated, other models are identical with this verification mode, final all model meshes quantity are 460,000 or so.
The 260mm guide shell crystallizer mesh independent the results of table 3
Step 3：The single-phase simulations of Fluent are calculated
Using the steady-state simulation based on Pressure solution device；Using multiple system method, oar area uses moving reference system, other areas
Domain uses quiet referential, and oar area sets interface with other region joint faces.SIMPLE Algorithm for Solving, discrete scheme is one
Rank precision；Material is set to water, and entrance is set to speed entrance, and outlet is set to pressure export, and oar face is the surfaces of revolution；Using receiving
Dimension-RANS, turbulence model uses standard k-ε equations, it is ensured that very fast rate of convergence.
Step 4：Draw internal circulating load-power diagram
For each model, arbitrarily change six stir speed (S.S.)s, obtain six pairs of internal circulating loads and the data of power, drafting is followed
Circular rector-power diagram (Fig. 9), can be seen that 660mm, 710mm and 760mm guide shell model are compared with other models in Fig. 9, can be with
Obtain at lower power compared with big cycle volume, be suitable water conservancy diversion cylinder size.It can make cost in view of draft tube diameter increase
Increase, thus 660mm guide shells are optimal conditions.
Claims (5)
1. a kind of method for optimizing DTB crystallizer diversions cylinder based on Fluent, it is characterised in that comprise the following steps：
Step 1: set up in several DTB crystallizer geometrical models, the DTB crystallizers geometrical model except draft tube diameter and
Diameter of stirring paddle and the outer remainder size of height are completely the same；
Step 2: using Gambit pre-processing softwares, carrying out grid to each DTB crystallizers geometrical model in step one and drawing
Point, obtain corresponding DTB crystallizers grid file；
Step 3: the DTB crystallizers grid file importing cfdrc Fluent progress that step 2 is obtained is single-phase
Simulation, selects mathematical modeling, material properties, solving condition, boundary condition is set, to the DTB crystallizers of same geometry
Simulate a series of DTB crystallizers flow field under different stir speed (S.S.)s and generate data file, complete all DTB crystallizers grid texts
Flow field simulation of the part under different stir speed (S.S.)s；
Step 4: the data file application report functions of being obtained in step 3 are obtained into different DTB crystallizers in different stirrings
Guide shell volume circular flow and moment of torsion under speed, power of agitator is calculated according to torquemeter, draws each in the same coordinate system
Internal circulating load-power curve of DTB crystallizer simulation models, and being compared, the corresponding model of selection rightmost side curve is as leading
Flow cartridge optimal model.
2. the method according to claim 1 for optimizing DTB crystallizer diversions cylinder based on Fluent, it is characterised in that described
The step of two in, to every DTB crystallizers geometrical model carry out mesh generation after, carry out mesh independent checking.
3. the method according to claim 2 for optimizing DTB crystallizer diversions cylinder based on Fluent, it is characterised in that described
Mesh independent checking specific method be：Grid is added using cfdrc Fluent mesh adaption function
It is close, if grid computing result error is within 1%, show that result of calculation is unrelated with number of grid, without continuing refined net.
4. the method according to claim 1 for optimizing DTB crystallizer diversions cylinder based on Fluent, it is characterised in that described
The step of three in, whether the flow field analysis to each stir speed (S.S.) Imitating reasonable, and information of flow rationally then carries out subsequent step,
The unreasonable then adjusting parameter of information of flow continues to simulate the flow field under the stir speed (S.S.) until its information of flow is reasonable.
5. the method according to claim 1 for optimizing DTB crystallizer diversions cylinder based on Fluent, it is characterised in that described
The step of four in, the internal circulating load-power curve drawn under the same coordinate system, rightmost side curve under same loop amount correspondence work(
Rate is minimum, and correspondence internal circulating load is maximum under equal-wattage, and the corresponding model water conservancy diversion cylinder size of the curve is optimal value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710397879.1A CN107330150B (en) | 2017-05-31 | 2017-05-31 | Method for optimizing guide cylinder of DTB (draw texturing yarn) crystallizer based on Fluent |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710397879.1A CN107330150B (en) | 2017-05-31 | 2017-05-31 | Method for optimizing guide cylinder of DTB (draw texturing yarn) crystallizer based on Fluent |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107330150A true CN107330150A (en) | 2017-11-07 |
| CN107330150B CN107330150B (en) | 2020-07-31 |
Family
ID=60192818
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710397879.1A Expired - Fee Related CN107330150B (en) | 2017-05-31 | 2017-05-31 | Method for optimizing guide cylinder of DTB (draw texturing yarn) crystallizer based on Fluent |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107330150B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110075562A (en) * | 2019-04-22 | 2019-08-02 | 天津大学 | A kind of design method of the clarification structure of crystallizer |
| CN112861397A (en) * | 2021-01-29 | 2021-05-28 | 彩虹显示器件股份有限公司 | Homogenization effect optimization method for glass substrate manufacturing stirring system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101745612A (en) * | 2009-12-30 | 2010-06-23 | 重庆大学 | Continuous-casting crystallizer simulation method by taking shell thickness and flowing quality balance into consideration and device thereof |
| CN106215454A (en) * | 2016-09-29 | 2016-12-14 | 益盐堂（应城）健康盐制盐有限公司 | A kind of outer circulation DTB fluidized-bed crystallizer |
-
2017
- 2017-05-31 CN CN201710397879.1A patent/CN107330150B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101745612A (en) * | 2009-12-30 | 2010-06-23 | 重庆大学 | Continuous-casting crystallizer simulation method by taking shell thickness and flowing quality balance into consideration and device thereof |
| CN106215454A (en) * | 2016-09-29 | 2016-12-14 | 益盐堂（应城）健康盐制盐有限公司 | A kind of outer circulation DTB fluidized-bed crystallizer |
Non-Patent Citations (2)
| Title |
|---|
| XINGFU SONG, ET AL.: "Optimization Design for DTB Industrial Crystallizer of Potassium Chloride", 《IND. ENG. CHEM. RES. 2010》 * |
| 李继翔，等: "射流循环DTB结晶器内的CFD模拟", 《化工学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110075562A (en) * | 2019-04-22 | 2019-08-02 | 天津大学 | A kind of design method of the clarification structure of crystallizer |
| CN112861397A (en) * | 2021-01-29 | 2021-05-28 | 彩虹显示器件股份有限公司 | Homogenization effect optimization method for glass substrate manufacturing stirring system |
| CN112861397B (en) * | 2021-01-29 | 2023-12-26 | 彩虹显示器件股份有限公司 | Homogenization effect optimization method of stirring system for glass substrate manufacturing |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107330150B (en) | 2020-07-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103309727B (en) | A kind of vane pump cavitation numerical simulation automatic operation method based on ANSYS-CFX software | |
| CN106570263A (en) | Double-volute hydraulic design method based on RSM model | |
| Cant | High-performance computing in computational fluid dynamics: progress and challenges | |
| CN108647370A (en) | Unmanned helicopter Optimization Design for Aerodynamic method based on bicyclic iteration | |
| CN107330150A (en) | A kind of method for optimizing DTB crystallizer diversions cylinder based on Fluent | |
| CN107506516A (en) | A kind of communications equipment room flow field model is established and analysis method and system | |
| CN106650086A (en) | Indirect air cooling system numerical simulation platform based on FLUENT software | |
| CN101694678A (en) | Method for measuring and calculating regulation scale of artificial fish shelter flow field | |
| CN1388444A (en) | Simulation method of casting cavity filling process | |
| CN101540060A (en) | Air flow simulating method based on physical simulation and system thereof | |
| CN109684723A (en) | A kind of two-dimensional structure internal acoustic method for analyzing performance | |
| CN105945270A (en) | Acquisition method and device of ration pouring curve | |
| Andersen et al. | Simulation and prediction of wakes and wake interaction in wind farms | |
| CN105909537B (en) | A kind of normal temperature modelling method of testing of high-temperature melting salt pump | |
| Guo et al. | Analysis of channel vortex and cavitation performance of the Francis turbine under partial flow conditions | |
| CN104679953B (en) | Indoor substation transformer chamber Numerical Simulation of Flow and Temperature quick calculation method, system | |
| CN109141542B (en) | Rectangular channel non-groove water metering method based on critical water depth groove working principle | |
| CN111931392B (en) | Method and device for optimizing argon blowing parameters of plasma heating tundish bottom | |
| CN107784188A (en) | A kind of pressure booster blower impeller design optimization method based on MATLAB | |
| CN113128096B (en) | Method for acquiring direct navigation additional mass of underwater vehicle | |
| CN110990963B (en) | Fan interval optimization method and device and computer readable storage medium | |
| CN105069192B (en) | A kind of improved method that power of fan parameter of curve model is solved based on genetic algorithm | |
| Li et al. | Hydrodynamics of the self-diving function of thunniform swimmer relying on switching the caudal fin shape | |
| CN113255185A (en) | Automatic simulation method for valve regulation characteristic | |
| CN113887147A (en) | Brain blood flow automatic analysis system based on MRI data |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200731 Termination date: 20210531 |