CN111862264A - Multiphase mixed flow type cooperative regulation and control method - Google Patents
Multiphase mixed flow type cooperative regulation and control method Download PDFInfo
- Publication number
- CN111862264A CN111862264A CN202010517618.0A CN202010517618A CN111862264A CN 111862264 A CN111862264 A CN 111862264A CN 202010517618 A CN202010517618 A CN 202010517618A CN 111862264 A CN111862264 A CN 111862264A
- Authority
- CN
- China
- Prior art keywords
- gas
- multiphase
- liquid
- mixed fluid
- solid
- 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
- 238000000034 method Methods 0.000 title claims abstract description 57
- 239000012530 fluid Substances 0.000 claims abstract description 69
- 238000003672 processing method Methods 0.000 claims abstract description 5
- 238000007619 statistical method Methods 0.000 claims abstract description 5
- 239000007788 liquid Substances 0.000 claims description 44
- 239000007787 solid Substances 0.000 claims description 44
- 239000007789 gas Substances 0.000 claims description 39
- 230000000694 effects Effects 0.000 claims description 12
- 239000002245 particle Substances 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000003325 tomography Methods 0.000 claims description 7
- 239000012071 phase Substances 0.000 abstract description 37
- 239000007790 solid phase Substances 0.000 abstract description 8
- 239000000126 substance Substances 0.000 abstract description 5
- 238000005272 metallurgy Methods 0.000 abstract description 4
- 230000000007 visual effect Effects 0.000 abstract 1
- 230000001276 controlling effect Effects 0.000 description 3
- 239000007791 liquid phase Substances 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000009991 scouring Methods 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
- 230000002195 synergetic effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/203—Drawing of straight lines or curves
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Computational Biology (AREA)
- Algebra (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
Abstract
The invention discloses a multiphase mixed flow type cooperative regulation and control method, which comprises the following steps: obtaining a real-time pattern, calculating a time sequence, obtaining a fitting curve, marking a fitting curve distance and selecting a fitting curve segment; the method comprises the steps of firstly collecting a real-time pattern of a multiphase mixed fluid sample, calculating the 0 th-dimensional Betty number of each gas-liquid-solid phase in the mixed pattern by adopting a digital image processing and statistical method, respectively obtaining the time sequence of the 0 th-dimensional Betty number of each gas-liquid-solid phase, then obtaining a fitting curve of the time sequence of the 0 th-dimensional Betty number of each phase by using logistic fitting, and finally selecting D from the Ds,q,lA minimum fitted curve and the control of the multiphase mixed fluid sample according to this fitted curve, Ds,q,lThe smaller the value, the better the multiphase mixing, the more stable the flow pattern, the more visual the method compared with the existing flow pattern regulation and control method, the stronger the applicability, the higher the practicability, and can be applied to chemical industry, metallurgy and other related industriesAnd multiple fields of multiphase mixing, and is convenient to popularize.
Description
Technical Field
The invention relates to the technical field of chemical and metallurgical engineering, in particular to a multiphase mixed flow type cooperative regulation and control method.
Background
Two-phase or three-phase mixing in a gas-liquid-solid three-phase system relates to the fields of petroleum, chemical industry, energy, metallurgy and the like, the difference of mixed flow patterns of different phases directly influences the quality of the mixing effect, the deposition of solid particles can cause the aggravation of the scouring of pipelines in the gas-solid conveying process, and the existence of uneven bubbles can cause the worsening of heat transfer or the worsening of the mixing effect in the gas-liquid mixing process, so that the flow pattern regulation and control of the gas-liquid-solid three-phase in the stirring and mixing process have important significance for a plurality of process technologies, the gas-liquid-solid three-phase synergistic effect is mastered to regulate and control the flow pattern, the accurate control of the distribution of the gas-liquid-solid three-phase in;
at present, the flow pattern regulation and control method for gas-liquid-solid multiphase mixing at home and abroad mainly comprises three methods: the method comprises the steps of optimizing the structure of a fluid channel, changing the input parameters of fluid, and performing simulation on the flow type, wherein the flow type regulation and control by the three methods have good effects, but the method for optimizing the moral structure of the fluid channel has low applicability, the method for changing the parameters of the fluid is not intuitive, the simulation is lack of experimental guidance, and the three methods have disadvantages and low practicability.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a multiphase mixed flow type cooperative regulation method, in which the 0 th-dimensional Betty number of each gas, liquid and solid phase in a multiphase mixed fluid mixed pattern is calculated to obtain a time series of the 0 th-dimensional Betty number of each gas, liquid and solid phase in the multiphase mixed fluid sample, and a logistic fitting is applied to obtain a fitting curve of the time series of the 0 th-dimensional Betty number of each phase in a mixed three-dimensional sample, and then a fitting curve segment with the best mixing effect is selected to regulate the flow type of the multiphase mixed fluid.
In order to achieve the purpose of the invention, the invention is realized by the following technical scheme: a multiphase mixed flow type cooperative regulation and control method comprises the following steps:
the method comprises the following steps: obtaining real-time patterns
Firstly, placing a gas, liquid and solid multiphase sample to be mixed into a prepared mixing container for mixing to obtain a multiphase mixed fluid sample, and then acquiring a real-time pattern of the multiphase mixed fluid sample through a particle velocimeter, a high-speed camera and an electrical tomography (EPT) method and storing image data;
step two: computing time series
According to the first step, firstly, calculating the 0 th-dimensional Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid sample according to the mixed pattern of the multiphase mixed fluid by using a digital image processing and statistical method, and simultaneously acquiring the 0 th-dimensional Betty number time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample;
Step three: obtaining a fitting curve
According to the second step, firstly, a logistic fitting method is used for fitting a fitting curve of the corresponding 0-dimensional Betty time sequence of each phase of gas, liquid and solid according to the 0-dimensional Betty time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample;
step four: marking fitted curve distances
According to the third step, correspondingly marking the distance between every two phase of fitted curves according to the fitted curves of the 0 th-dimensional Betty numbers of all phases of gas, liquid and solid in the multiphase mixed fluid sample to obtain Ds,q、Ds,l、Dl,qThree items of data;
step five: selecting fitting curve segment
According to step four, Ds,q、Ds,l、Dl,qThree data are superposed to obtain the sum D of the distances between every two phase fitting curves in the fitting curves of the 0 th dimension Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid samples,q,lSelecting D thereins,q,lRegulating and controlling the multiphase mixed fluid sample according to a section of fitting curve with the minimum value and the fitting curve of the time sequence of the 0 th-dimensional Betty number of each phase of gas, liquid and solid so as to obtain the optimal mixing effect and the most stable flow pattern of the multiphase mixed fluid sample;
the further improvement lies in that: in the first step, a mixing real-time pattern of transparent and semitransparent fluids in the gas-solid-liquid multiphase mixing process is obtained through a particle velocimeter and a high-speed camera, and a mixing real-time pattern of opaque fluids in the gas-solid-liquid multiphase mixing process is obtained through an electrical tomography (EPT).
The further improvement lies in that: in the second step, the 0 th-dimensional Betty number in the algebraic topology calculation means the number of the connected components in the region, and means the number of the blocks in the region, and the 0 th-dimensional Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid sample is calculated and obtained through the Chom international free software so as to represent the uniformity degree of the mixing effect of the multiphase mixed fluid sample.
The further improvement lies in that: the 0 th-dimensional Betty number time series logistic curve of each phase of gas, liquid and solid in the multiphase mixed fluid sample in the calculation process is obtained by calculation through public codes.
The further improvement lies in that: in the obtained fitting curve of the 0 th-dimensional Betty number time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample, the distance of the stationary sections of the three fitting curves is the sum of the distances of every two fitting curves, namely Ds,q,l=Ds,q+Ds,l+Dl,q。
The further improvement lies in that: in the fifth step, the closer the three fitting curves of the time series of the 0 th-dimensional Betty numbers of the phases of the gas, the liquid and the solid in the multiphase mixed fluid sample are to each other, the distance D between the stationary sections of the three fitting curves of the time series of the 0 th-dimensional Betty numbers of the phases of the gas, the liquid and the solid in the multiphase mixed fluid sample is s,q,lThe smaller the flow pattern, the better the mixing effect of the multiphase mixed fluid, and the more stable the flow pattern.
The invention has the beneficial effects that: the method comprises the steps of firstly collecting a real-time pattern of a multiphase mixed fluid sample through a particle velocimeter, a high-speed camera and an electrical tomography (EPT), then calculating the 0 th-dimension Betty number of each gas-liquid-solid phase in the mixed pattern by adopting a digital image processing and statistical method, respectively obtaining the time sequence of the 0 th-dimension Betty number of each gas-liquid-solid phase in the multiphase mixed fluid sample, then obtaining a fitting curve of the time sequence of the 0 th-dimension Betty number of each phase by utilizing logistic fitting, and finally selecting D from the Ds,q,lValue of one at the minimumSegment fitting curve and regulating and controlling the multiphase mixed fluid sample according to the segment fitting curve, Ds,q,lThe smaller the value, the better the multiphase mixing, and the more stable the flow pattern, compared with the existing flow pattern regulation and control method, the method is more intuitive, has stronger applicability and higher practicability, can be applied to various fields relating to multiphase mixing, such as chemical industry, metallurgy and the like, and is convenient to popularize.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
In order to further understand the present invention, the following detailed description will be made with reference to the following examples, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
According to fig. 1, the embodiment provides a multiphase mixed flow type cooperative control method, which includes the following steps:
the method comprises the following steps: obtaining real-time patterns
Firstly, gas, liquid and solid multiphase samples to be mixed are placed in a prepared mixing container to be mixed, multiphase mixed fluid samples are obtained, then real-time patterns of the multiphase mixed fluid samples are collected and image data are stored through a particle velocimeter, a high-speed camera and an electric tomography (EPT), wherein the particle velocimeter and the high-speed camera are used for obtaining mixed real-time patterns of transparent and semitransparent fluids in a gas-solid-liquid multiphase mixing process, and the EPT is used for obtaining mixed real-time patterns of opaque fluids in the gas-solid-liquid multiphase mixing process;
step two: computing time series
According to the first step, firstly, calculating the 0 th-dimensional Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid sample according to a mixed pattern of the multiphase mixed fluid by using a digital image processing and statistics method through Chom international free software, wherein the 0 th-dimensional Betty number in the algebraic topology calculation means the number of connected components in a region and means the number of blocks in the region, and is used for representing the uniformity degree of the mixed effect of the multiphase mixed fluid sample, and meanwhile, the 0 th-dimensional Betty number time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample is obtained through public codes;
Step three: obtaining a fitting curve
According to the second step, firstly, a logistic fitting method is used for fitting a fitting curve of the corresponding 0-dimensional Betty time sequence of each phase of gas, liquid and solid according to the 0-dimensional Betty time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample;
step four: marking fitted curve distances
According to the third step, correspondingly marking the distance between every two phase of fitted curves according to the fitted curves of the 0 th-dimensional Betty numbers of all phases of gas, liquid and solid in the multiphase mixed fluid sample to obtain Ds,q、Ds,l、Dl,qThree items of data;
step five: selecting fitting curve segment
According to the fourth step, in the obtained fitting curve of the 0 th-dimensional Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid sample, the distance of the stationary sections of the three fitting curves is the sum of the distances of every two fitting curves, namely Ds,q,l=Ds,q+Ds,l+Dl,qD iss,q、Ds,l、Dl,qThree data are superposed to obtain the sum D of the distances between every two phase fitting curves in the fitting curves of the 0 th dimension Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid samples,q,lThe closer the three fitting curves of the time series of the 0-dimensional Betty numbers of the phases of gas, liquid and solid in the multiphase mixed fluid sample are to each other, the distance D of the plateau of the three fitting curves of the time series of the 0-dimensional Betty numbers of the phases of gas, liquid and solid in the multiphase mixed fluid sample s,q,lThe smaller the mixing effect of the multiphase mixed fluid, the more stable the flow pattern, wherein D is selecteds,q,lAnd regulating and controlling the multiphase mixed fluid sample according to a section of fitting curve with the minimum value and the fitting curve of the 0 th-dimensional Betty number time sequence of each phase of gas, liquid and solid.
The multiphase mixed flow type cooperative regulation and control method firstly passes through a particle velocimeter, a high-speed camera andcollecting real-time patterns of a multiphase mixed fluid sample by using an electrical tomography (EPT), calculating the 0-dimensional Betty number of each gas-liquid-solid phase in the mixed patterns by using digital image processing and statistical methods, respectively obtaining the time sequence of the 0-dimensional Betty number of each gas-liquid-solid phase in the multiphase mixed fluid sample, obtaining a fitting curve of the time sequence of the 0-dimensional Betty number of each phase by using logistic fitting, and finally selecting D in the selected time sequences,q,lA minimum fitted curve and the control of the multiphase mixed fluid sample according to this fitted curve, Ds,q,lThe smaller the value, the better the multiphase mixing, and the more stable the flow pattern, compared with the existing flow pattern regulation and control method, the method is more intuitive, has stronger applicability and higher practicability, can be applied to various fields relating to multiphase mixing, such as chemical industry, metallurgy and the like, and is convenient to popularize.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. A multiphase mixed flow type cooperative regulation and control method is characterized in that: the method comprises the following steps:
the method comprises the following steps: obtaining real-time patterns
Firstly, placing a gas, liquid and solid multiphase sample to be mixed into a prepared mixing container for mixing to obtain a multiphase mixed fluid sample, and then acquiring a real-time pattern of the multiphase mixed fluid sample through a particle velocimeter, a high-speed camera and an electrical tomography (EPT) method and storing image data;
step two: computing time series
According to the first step, firstly, calculating the 0 th-dimensional Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid sample according to the mixed pattern of the multiphase mixed fluid by using a digital image processing and statistical method, and simultaneously acquiring the 0 th-dimensional Betty number time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample;
Step three: obtaining a fitting curve
According to the second step, firstly, a logistic fitting method is used for fitting a fitting curve of the corresponding 0-dimensional Betty time sequence of each phase of gas, liquid and solid according to the 0-dimensional Betty time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample;
step four: marking fitted curve distances
According to the third step, correspondingly marking the distance between every two phase of fitted curves according to the fitted curves of the 0 th-dimensional Betty numbers of all phases of gas, liquid and solid in the multiphase mixed fluid sample to obtain Ds,q、Ds,l、Dl,qThree items of data;
step five: selecting fitting curve segment
According to step four, Ds,q、Ds,l、Dl,qThree data are superposed to obtain the sum D of the distances between every two phase fitting curves in the fitting curves of the 0 th dimension Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid samples,q,lSelecting D thereins,q,lRegulating and controlling the multiphase mixed fluid sample according to a section of fitting curve with the minimum value and the fitting curve of the time sequence of the 0 th-dimensional Betty number of each phase of gas, liquid and solid so as to obtain the optimal mixing effect and the most stable flow pattern of the multiphase mixed fluid sample;
2. the method of claim 1, wherein the method further comprises: in the first step, a mixing real-time pattern of transparent and semitransparent fluids in the gas-solid-liquid multiphase mixing process is obtained through a particle velocimeter and a high-speed camera, and a mixing real-time pattern of opaque fluids in the gas-solid-liquid multiphase mixing process is obtained through an electrical tomography (EPT).
3. The method of claim 1, wherein the method further comprises: in the second step, the 0 th-dimensional Betty number in the algebraic topology calculation means the number of the connected components in the region, and means the number of the blocks in the region, and the 0 th-dimensional Betty number of each phase of gas, liquid and solid in the multiphase mixed fluid sample is calculated and obtained through the Chom international free software so as to represent the uniformity degree of the mixing effect of the multiphase mixed fluid sample.
4. The method of claim 1, wherein the method further comprises: the 0 th-dimensional Betty number time series logistic curve of each phase of gas, liquid and solid in the multiphase mixed fluid sample in the calculation process is obtained by calculation through public codes.
5. The method of claim 1, wherein the method further comprises: in the obtained fitting curve of the 0 th-dimensional Betty number time sequence of each phase of gas, liquid and solid in the multiphase mixed fluid sample, the distance of the stationary sections of the three fitting curves is the sum of the distances of every two fitting curves, namely Ds,q,l=Ds,q+Ds,l+Dl,q。
6. The method of claim 1, wherein the method further comprises: in the fifth step, the closer the three fitting curves of the time series of the 0 th-dimensional Betty numbers of the phases of the gas, the liquid and the solid in the multiphase mixed fluid sample are to each other, the distance D between the stationary sections of the three fitting curves of the time series of the 0 th-dimensional Betty numbers of the phases of the gas, the liquid and the solid in the multiphase mixed fluid sample is s,q,lThe smaller the flow pattern, the better the mixing effect of the multiphase mixed fluid, and the more stable the flow pattern.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010517618.0A CN111862264B (en) | 2020-06-09 | 2020-06-09 | Multiphase mixed flow type cooperative regulation and control method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010517618.0A CN111862264B (en) | 2020-06-09 | 2020-06-09 | Multiphase mixed flow type cooperative regulation and control method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111862264A true CN111862264A (en) | 2020-10-30 |
CN111862264B CN111862264B (en) | 2023-03-31 |
Family
ID=72987347
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010517618.0A Active CN111862264B (en) | 2020-06-09 | 2020-06-09 | Multiphase mixed flow type cooperative regulation and control method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111862264B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113138141A (en) * | 2021-04-23 | 2021-07-20 | 昆明理工大学 | Method for measuring solid diffusion rate and dissolution rate in solid-liquid mixing process |
CN114446406A (en) * | 2020-11-06 | 2022-05-06 | 达索系统德国公司 | Reforming of fully asymmetric wave equation (CAFE) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101813641A (en) * | 2010-05-11 | 2010-08-25 | 昆明理工大学 | Method for verifying homogeneous state and degree of multiphase stirring and mixing |
CN101929994A (en) * | 2010-08-24 | 2010-12-29 | 昆明理工大学 | Time sequence model and method for predicting multi-phase mixing uniformity |
CN108844959A (en) * | 2018-04-12 | 2018-11-20 | 西安交通大学 | The measurement of gas-liquid two-phase ring-type flow section phase content and modification method in a kind of round tube |
CN109903243A (en) * | 2019-02-20 | 2019-06-18 | 云南农业大学 | A method of multiphase stirring and mixing effect is characterized based on Logistics model |
CN110175195A (en) * | 2019-04-23 | 2019-08-27 | 哈尔滨工业大学 | Mixed gas detection model construction method based on extreme random tree |
-
2020
- 2020-06-09 CN CN202010517618.0A patent/CN111862264B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101813641A (en) * | 2010-05-11 | 2010-08-25 | 昆明理工大学 | Method for verifying homogeneous state and degree of multiphase stirring and mixing |
CN101929994A (en) * | 2010-08-24 | 2010-12-29 | 昆明理工大学 | Time sequence model and method for predicting multi-phase mixing uniformity |
CN108844959A (en) * | 2018-04-12 | 2018-11-20 | 西安交通大学 | The measurement of gas-liquid two-phase ring-type flow section phase content and modification method in a kind of round tube |
CN109903243A (en) * | 2019-02-20 | 2019-06-18 | 云南农业大学 | A method of multiphase stirring and mixing effect is characterized based on Logistics model |
CN110175195A (en) * | 2019-04-23 | 2019-08-27 | 哈尔滨工业大学 | Mixed gas detection model construction method based on extreme random tree |
Non-Patent Citations (5)
Title |
---|
JIANXIN XU ET AL: "Synergistic effect of flow pattern evolution of dispersed and continuous phases in direct-contact heat transfer process", 《INTERNATIONAL JOURNAL OF REFRIGERATION》 * |
KAI YANG ET AL: "Flow pattern visualization and nonlinear analysis of gas-liquid mixing process with top-blowing gas stirring", 《JOURNAL OF CENTRAL SOUTH UNIVERSITY》 * |
QINGTAI XIAO ET AL: "Novel 3-D homogeneity metrics of multiple components in gas-stirred liquid systems", 《POWDER TECHNOLOGY》 * |
徐建新: "多相体系搅拌混合效果评价方法及其应用研究", 《中国博士学位论文全文数据库 工程科技Ⅰ辑》 * |
高勤: "基于数字图像分析的气—液两相混合特性研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114446406A (en) * | 2020-11-06 | 2022-05-06 | 达索系统德国公司 | Reforming of fully asymmetric wave equation (CAFE) |
CN113138141A (en) * | 2021-04-23 | 2021-07-20 | 昆明理工大学 | Method for measuring solid diffusion rate and dissolution rate in solid-liquid mixing process |
CN113138141B (en) * | 2021-04-23 | 2023-01-20 | 昆明理工大学 | Method for measuring solid diffusion rate and dissolution rate in solid-liquid mixing process |
Also Published As
Publication number | Publication date |
---|---|
CN111862264B (en) | 2023-03-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111862264B (en) | Multiphase mixed flow type cooperative regulation and control method | |
Bezzo et al. | A general methodology for hybrid multizonal/CFD models: Part II. Automatic zoning | |
Skiborowski | Process synthesis and design methods for process intensification | |
CN105825081B (en) | A kind of Classification of Gene Expression Data method and categorizing system | |
Kara et al. | Balancing and sequencing mixed-model just-in-time U-lines with multiple objectives | |
Jia et al. | Performance analysis of assembly systems with Bernoulli machines and finite buffers during transients | |
CN110009028A (en) | A kind of micro-image data enhancement methods and device | |
US20210109490A1 (en) | System and Method for User Intuitive Visual Management of Automation of Bioprocess | |
CN108983722B (en) | Optimized scheduling method for final test of integrated circuit chip | |
Klein et al. | Constructal Design of tube arrangements for heat transfer to non-Newtonian fluids | |
Chen et al. | A survey of interface tracking methods in multi-phase fluid visualization | |
Karpinska et al. | Modeling of the hydrodynamics and energy expenditure of oxidation ditch aerated with hydrojets using CFD codes | |
CN110908973B (en) | Method for calculating stress of forced convection on MnS dendrites in molten steel solidification process | |
Luo et al. | Thermodynamic analysis of non-isothermal mixing's influence on the energy target of water-using networks | |
CN107153755A (en) | A kind of method for solving of shale gas well numerical simulation | |
Yu et al. | High-throughput, algorithmic determination of pore parameters from electron microscopy | |
Zhitnikov et al. | Simulation of non-stationary processes of electrochemical machining | |
CN115859869A (en) | CFD-based stirrer flocculation analysis method and system | |
CN109559028A (en) | Distribution network planning year reliability estimation method based on gray theory and Distance evaluation | |
Andreou et al. | Modelling the electroforming process: significance and challenges | |
Zhang et al. | Gene co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis | |
CN107862139A (en) | The optimization method of reduction cable bearer eddy-current loss based on Orthogonal Experiment and Design | |
Rihani et al. | Three dimensional CFD simulations of gas–liquid flow in milli torus reactor without agitation | |
Abitova et al. | Increasing product quality by implementation of a complex automation system for industrial processes | |
Starick et al. | Hierarchical Parcel‐Swapping: An efficient mixing model for turbulent reactive flows |
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 | ||
TR01 | Transfer of patent right |
Effective date of registration: 20231212 Address after: 651100 Dachunshu Industrial Park, Yimen County, Yuxi City, Yunnan Province Patentee after: YIMEN COPPER CO. Address before: 650093 No. 253, Xuefu Road, Wuhua District, Yunnan, Kunming Patentee before: Kunming University of Science and Technology |
|
TR01 | Transfer of patent right |