CN114266110A - Efficient optimization design method of cyclone desander based on Ansys Workbench - Google Patents
Efficient optimization design method of cyclone desander based on Ansys Workbench Download PDFInfo
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Abstract
The invention discloses a high-efficiency optimization design method of a cyclone desander based on Ansys Workbench, which can build a unified flow by using a fluid simulation module and an optimization design module based on an Ansys Workbench, build various structural parameters, operating parameters and physical parameters in the fluid simulation module, effectively combine experimental design and response surface analysis to build a multi-objective rapid optimization design method by using the structural parameters, the operating parameters and the physical parameters as control variables and the performance parameters of the cyclone desander as target variables in the optimization design module, automatically explore experimental samples containing numerical values of input parameters and output parameters in the optimization design process of the cyclone desander, combine response surface analysis to develop multi-parameter optimization, and utilize reverse substitution verification to form an optimization design scheme of the cyclone desander, drive product research and development, integrally realize convenience, high efficiency in operation, and convenience in research and development, and development, The precision is reliable.
Description
Technical Field
The invention relates to the technical field of design and manufacture of solid-liquid separation cyclone separators. More specifically, the invention relates to a high-efficiency optimization design method of a cyclone sand remover based on Ansys Workbench.
Background
The cyclone separator is equipment for separating a mixture with components which are incompatible and have density difference by utilizing the principle of centrifugal sedimentation, has the advantages of simple structure, convenience in operation, convenience in maintenance, high production capacity, high separation efficiency, small occupied area and the like, and is suitable for various fields of gas-liquid separation, solid-liquid separation, simultaneous separation of gas-liquid-solid phases and the like. The cyclone desander is used as solid-liquid separation equipment, is widely applied to industries such as petroleum, mines, metallurgy, coal, agricultural irrigation and the like, and has important influence on economic benefits, product quality and the like of related industries.
The performance evaluation indexes of the cyclone desander are only three, namely separation efficiency, classification efficiency and pressure drop, but are simultaneously acted by structural parameters, operation parameters and physical parameters. The structure parameters comprise the diameter of the column section, the height of the column section, the diameter of the feed inlet, the diameter of the overflow pipe, the insertion depth of the overflow pipe, the diameter of the discharge outlet, the cone angle of the cone section and the like; the operating parameter includes an inflow speed or a working pressure; physical parameters include particle concentration, particle density, particle size and distribution thereof.
Due to too many performance influencing factors, manufacturers at home and abroad are difficult to carry out multi-parameter overall design and develop detailed type spectrum planning on the cyclone desander. In practical application, the cyclone desander is mainly used for completing the primary design of structural parameters based on empirical dimensions and completing the model selection of the existing product according to the production capacity and the classification granularity. However, the designed product has single structural parameters and cannot adapt to the property of the separation medium and the change of the operating conditions, so that the optimal performance is difficult to achieve under specific working conditions, and the defects of low separation efficiency, poor classification precision, high energy consumption and the like generally exist. Therefore, the efficient optimization design of the cyclone desander is significant by developing the research of a design and model selection method.
The optimization design method of the cyclone desander mainly comprises two main categories of experiments and numerical simulation at present, wherein the experiment method comprises a single-factor experiment method and an experiment design method. The single-factor experiment method can directly establish the influence rule of each factor and realize the selection of key parameters by carrying out experiment quantitative analysis on the influence of each parameter on the performance of the cyclone desander, but has huge experiment amount and neglects the coupling influence among the factors. The experimental design method is characterized in that an accurate experimental scheme is compiled according to the number and the value intervals of the parameters, statistical analysis is completed by developing experiments, and then parameter optimization is realized. The numerical simulation method comprises the steps of carrying out fluid dynamics simulation on the cyclone desander, obtaining the influence rule of each parameter on the characteristics of an internal flow field, establishing a cyclone desanding working mechanism and perfecting theoretical analysis; the method is mainly carried out on a computer, can greatly reduce the real experiment cost, but can only be used for improving the local structure of the cyclone desander based on single-factor analysis, and has low engineering application and popularization value.
An appropriate experimental scheme is formed by using an experimental design method, and an experimental sample is constructed by using a numerical simulation result, so that the method for optimally designing the cyclone desander can be developed, the advantages of the cyclone desander and the experimental sample can be effectively combined, and the method is increasingly paid attention by domestic and foreign scholars. However, the implementation of the method is performed on different platforms at present, such as numerical simulation in Fluent and experimental Design on Design Expert, the universality is not high, the efficiency is low, and especially for the working condition with low sand-containing turbid liquid concentration, the failure is often caused by the influence of numerical calculation.
Disclosure of Invention
An object of the present invention is to solve at least the above problems and to provide at least the advantages described later.
The invention also aims to provide a high-efficiency optimization design method of the cyclone desander based on the Ansys Workbench, so as to solve the technical problems of platform dispersion, small sample number, low efficiency, insufficient precision and limited applicability to the working condition of low sand-containing turbid liquid concentration in the prior art aiming at the model selection design and performance optimization of the current cyclone desander.
In order to realize the purposes and other advantages, the invention provides a high-efficiency optimization design method of a cyclone desander based on Ansys Workbench, which builds a uniform flow by a fluid simulation module and an optimization design module based on an Ansys Workbench working platform;
in the fluid simulation module, a fluid simulation working flow is utilized to complete the parametric setting of the cyclone desander, the parametrically set parameters comprise input parameters and output parameters, the input parameters comprise structural parameters, operation parameters and physical parameters of the cyclone desander, the output parameters comprise performance evaluation index parameters of the cyclone desander, and the input parameters and the output parameters are parametrically set;
in the optimization design module, all input parameters are respectively used as control variables, all output parameters are respectively used as target variables, automatic exploration of experimental samples is completed through orthogonal experimental design, multi-parameter optimization is carried out by combining response surface analysis, a theoretical optimization design scheme of the cyclone desander is obtained, and reverse substitution verification is utilized to form the optimization design scheme of the cyclone desander.
Preferably, the method specifically comprises the following steps:
s1, defining the input parameters and the output parameters of the cyclone desander, selecting a plurality of input parameters as the control variables respectively, selecting a plurality of output parameters as the output variables, and carrying out parametric setting on the cyclone desander;
s2, setting the variation range of the input parameters;
s3, establishing a combined experimental design scheme of the orthogonal experimental design;
s4, obtaining the experiment sample, wherein the experiment sample is counted with different input variable combinations and corresponding numerical values of the output variables;
s5, analyzing a response surface and sensitivity, giving a contribution value of each input variable to the output variable, and obtaining an individual change rule of the output variable along with each input variable according to the contribution values;
s6, according to the result of the step S5, definitely taking one or more output variables as target variables, taking the maximum value or the minimum value of the target variables as a target, considering the compromise between multiple targets and performance, obtaining a theoretical optimization design scheme of the cyclone sand remover represented by optimization parameters, and carrying out reverse verification;
and S7, completing model selection design and obtaining an optimized design scheme of the cyclone desander.
Preferably, the specific method for parameterization setting is as follows:
a1, establishing or introducing a cyclone desander three-dimensional geometric model by using a Design Modler module, and carrying out parameterization setting on structural parameters of the cyclone desander three-dimensional geometric model in the Design Modler module, wherein the structural parameters comprise the radius of a cylinder and the insertion depth of an overflow pipe;
a2, controlling the size of the grids, and automatically dividing the grids by using an unstructured grid by using an Ansys shifting module;
a3, establishing a rotational flow sand removal multiphase flow simulation model by using fluid simulation software, and completing the parametric setting of the operation parameters, the physical property parameters and the performance evaluation index parameters of the rotational flow sand remover by combining CFD-POST software.
Preferably, in the step a3, when the fluid simulation software is used to establish the rotational flow sand removal multiphase flow simulation model, the non-structural tetrahedral mesh is converted into a polyhedral mesh; the multi-phase flow simulation selects an Euler two-phase flow model, wherein the main phase is water, the second phase is sand, and parameterization of sand grain diameter and the like is completed in the setting of physical properties of the working medium; the turbulent flow simulation adopts a Reynolds stress model, takes a speed inlet and a pressure outlet as boundary conditions, and completes the parameterization setting of the flow and the concentration of the sand-containing turbid liquid on the boundary of the speed inlet.
Preferably, in step a3, when the fluid simulation software is used to create the cyclone sand removal multiphase flow simulation model, the relaxation factors in different iteration step intervals are controlled so that the relaxation factors gradually decrease according to the increase of the iteration steps.
Preferably, the optimization design module comprises three parts of experiment design, response surface analysis and optimization analysis, the experiment design part is used for controlling the selection and generation mode of the experiment sample scheme based on the number of the input parameters and the given variation range, the response surface analysis is used for obtaining the contribution rate of each input parameter aiming at each output parameter, and the parameter optimization analysis part is used for forming a final single-target or multi-target optimization design scheme according to the experiment sample and an optimization algorithm after the target variables are determined.
Preferably, in the experimental sample exploration process, the experimental design part automatically updates the grid according to a single value of each input variable based on the parameterized fluid simulation workflow based on the rotational flow desanding multiphase flow simulation model, carries out fluid simulation, and directly counts the calculation result of the output variable obtained by the fluid simulation in the experimental sample.
Preferably, after the optimized parameters are obtained, based on the input parameters corresponding to the recommended optimal solution, on one hand, a physical model and the input parameters in a fluid simulation workflow are directly and manually changed, and fluid simulation is performed, on the other hand, the optimized parameters are added into a new experimental sample, and CFD numerical calculation is started again in the experimental design part, so that validity and reliability verification of a rotational flow desanding optimization design result is completed.
The invention at least comprises the following beneficial effects:
(1) fluid simulation modeling based on Fluent converts the tetrahedral mesh into the polyhedral mesh, can reduce the mesh quantity by a wide margin, effectively promotes CFD computational speed, the cost of saving time.
(2) In the fluid simulation modeling, different relaxation factors can be used in different iterative calculation stages by calling a journal file or a TUI command, so that the relaxation factors are controlled to be gradually reduced from large to small in a complete calculation process, the calculation time is effectively shortened on the premise of meeting the convergence precision, the application range of the method is not limited to the concentration of the sandy turbid liquid, and the method is still effective particularly under the working condition of extremely low sandy turbid liquid concentration.
(3) In the experimental design process, automatic grid updating and CFD simulation calculation can be completed according to the values of all input variables by means of a parameterized fluid simulation working process, and all output variables or target parameter values in a design sample are directly obtained, so that the workload of manual participation in individual fluid simulation modeling of the sample is greatly reduced, the artificial error is reduced, and the stability and the reliability of the optimized design are improved.
(4) After the sample selection and the optimization scheme exploration based on experimental design are completed, reverse verification can be directly performed, the operation is convenient and fast, and the realizability is higher.
(5) When the cyclone separator is optimally designed by applying the method, the optimal structural parameters can be obtained without deeply analyzing the internal flow mechanism of the cyclone separator, and great convenience is provided for design and research personnel.
(6) The optimization design method provided by the invention is not only suitable for the cyclone separator, but also suitable for other similar structure fluid-solid separators, provides directions for efficient optimization design of other fluid machines, and has strong popularization and good practicability.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
FIG. 1 is a schematic diagram of the basic structure of a cyclone desander of the invention;
FIG. 2 is a schematic diagram of the cyclone desander of FIG. 1;
FIG. 3 is a flow chart of the work flow of the cyclone desander optimized design of the present invention;
FIG. 4 is a schematic diagram of an optimized design module of the Ansys Workbench-based cyclone sand remover of the present invention;
FIG. 5 is a graph comparing results of sensitivity analysis of separation efficiency of a cyclone grit catcher of certain type in accordance with an embodiment of the present invention.
The specification reference numbers indicate: 1. a feeding pipe, 2, an overflow pipe, 3, a column section, 4, a cone section, 5 and a discharging pipe.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
It is to be noted that the experimental methods described in the following embodiments are all conventional methods unless otherwise specified, and the reagents and materials, if not otherwise specified, are commercially available; in the description of the present invention, the terms "lateral", "longitudinal", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
As shown in fig. 1-5, the invention provides a high-efficiency optimization design method of a cyclone desander based on Ansys Workbench, which is characterized in that a unified flow is built by a fluid simulation module and an optimization design module based on an Ansys Workbench working platform;
in the fluid simulation module, a fluid simulation working flow is utilized to complete the parametric setting of the cyclone desander, the parametrically set parameters comprise input parameters and output parameters, the input parameters comprise structural parameters, operation parameters and physical parameters of the cyclone desander, the output parameters comprise performance evaluation index parameters of the cyclone desander, and the input parameters and the output parameters are parametrically set;
in the optimization design module, all input parameters are respectively used as control variables, all output parameters are respectively used as target variables, automatic exploration of experimental samples is completed through orthogonal experimental design, multi-parameter optimization is carried out by combining response surface analysis, a theoretical optimization design scheme of the cyclone desander is obtained, and reverse substitution verification is utilized to form the optimization design scheme of the cyclone desander.
Referring to fig. 1-2, the main structure of the cyclone desander comprises four parts, namely a cylindrical conical cavity, a tangential inlet (a feed inlet of a feed pipe 1), and two axial outlets (an overflow pipe 2 is arranged above the cylindrical conical cavity, and a discharge hole or a bottom flow hole of a discharge pipe 5 is arranged below the cylindrical conical cavity), wherein in the working process of the desander, a sand-containing turbid liquid firstly enters a cylindrical section 3 through the feed inlet and spirally flows along the vertical downward direction, and then, because the density of sand grains is higher than that of water and the centrifugal force is large, the sand-containing turbid liquid can overcome the fluid resistance and gradually concentrate on the wall surface of a cylindrical conical section 4 to form an external cyclone, and is finally discharged through the bottom flow hole along with the gradual reduction of the radius of the conical section 4; the water with lower density can only be concentrated in the middle of the cavity at the cylindrical section 3 under the extrusion of the outer rotational flow sand grains, the extrusion intensity of the sand grain flow is gradually increased due to the gradual reduction of the radius of the conical section 4, the liquid in the center of the cavity is forced to be vertically upward and internally rotational flow, and finally the liquid is discharged along the overflow pipe 2, and the solid-liquid separation is completed.
Obviously, all structural parameters, operational parameters and physical parameters can directly influence the cyclone desanding effect, and the contribution amounts of the structural parameters, the operational parameters and the physical parameters are different and part of the parameters are mutually coupled, so that main variables for the model selection design and the performance optimization of the cyclone desander are formed, the main variables are used as input parameters in a fluid simulation module, performance indexes such as separation efficiency, classification efficiency, pressure loss and the like form target parameters, and the main variables are used as performance evaluation index parameters in the fluid simulation module, fluid simulation software used for fluid simulation in the invention includes but is not limited to fluent, cfx, polyflow and the like. In an optimization design module, structural parameters, operating parameters and physical parameters are used as control variables (input parameters), performance parameters of the cyclone desander are used as target variables (output parameters), a multi-objective rapid optimization design method is established by effectively combining experimental design and response surface analysis, in the optimization design process of the cyclone desander, an experimental sample containing numerical values of the input parameters and the output parameters is automatically explored, corresponding fluid simulation can be automatically completed according to the experimental design input parameter sample, an output parameter sample is obtained, and therefore a theoretical optimization design scheme of the cyclone desander is obtained, errors caused by the fact that people participate in obtaining each output parameter sample are avoided, time cost is effectively reduced, optimization design efficiency is remarkably improved, the final optimization design result can be directly subjected to reverse input verification, and the realizability is good, the scientificity is higher, the whole realization is convenient, the operation is high-efficient, the precision is reliable, and the product research and development can be powerfully driven.
In another technical scheme, as shown in fig. 3 and 4, an Ansys Workbench-based efficient optimization design method for a cyclone sand remover specifically comprises the following steps:
s1, defining the input parameters and the output parameters of the cyclone desander, selecting a plurality of input parameters as the control variables respectively, selecting a plurality of output parameters as the output variables, and carrying out parametric setting on the cyclone desander.
Based on the field requirement, determining the operation parameters (inlet flow and working pressure) of the cyclone desander and the physical parameters (sand concentration, sand density and sand particle size distribution) of sand-containing turbid liquid, determining the main structural parameters of the cyclone desander, such as the diameter of a column section 3, the height and cone angle of a cone section 4, the insertion depth h of an overflow pipe 2 and the like according to the prior design experience and by combining the actual flow requirement,
the application scenes are different, the attention degrees of performance indexes such as discharge capacity, power consumption, separation efficiency, classification efficiency and the like are different, at the moment, the target parameters of the cyclone sand remover are determined according to the field requirements, and the target parameters can be one or more.
After the parameters are clear, the control variable and the target variable of the cyclone sand remover are determined, and therefore the performance optimization and the model selection design of the whole machine can be carried out.
Then, Fluid Flow modeling is carried out, the Fluid Flow on the Ansys Workbench has a parameterized design capability, all control variables and target variables used in the Parameter selection part can be Set in each sub-module of the Fluid simulation module, after the setting is finished, a Parameter setting module (Parameter Set) can be automatically activated in Workbench, all parameters which are Set in the Fluid simulation module are listed, and the parameters are classified by using input parameters and output parameters, wherein the input parameters are used as design variables and input variables, the output parameters are used as output variables and target variables, and in addition, the Parameter setting module (Parameter Set) can also define extension variables according to the existing output variables, such as performance evaluation index parameters.
And then an Optimization Design module (Response Surface Optimization) is utilized, and the Optimization Design module consists of three sub-modules, namely a Design of Experiments Design part, a Response Surface analysis part and an Optimization parameter Optimization part.
And S2, giving the variation range of the input parameters. In the experimental design part, the value range and the value mode of each input variable can be confirmed according to actual requirements, and each output variable can be obtained by depending on a fluid simulation result.
And S3, establishing a combined experimental design scheme of the orthogonal experimental design.
And S4, acquiring the experimental sample, wherein the experimental sample is counted with different input variable combinations and corresponding numerical values of the output variables.
And S5, analyzing a response surface and sensitivity based on a sample obtained by experimental design, giving a contribution value of each input variable to the output variable, and obtaining an individual change rule of the output variable along with each input variable according to the contribution values.
S6, according to the result of the step S5, the theoretical optimization design scheme of the cyclone sand remover represented by the optimization parameters is obtained by definitely taking one or more output variables as target variables, taking the maximum value or the minimum value of the target variables as a target and considering the compromise between multiple targets and performance, and reverse verification is carried out.
The cyclone desander optimization design scheme obtained by combining fluid simulation and experimental design samples is only an optimization algorithm theoretical result. Therefore, after the theoretical optimization design scheme is obtained, the verification of the rotational flow sand removal performance still needs to be carried out, and the validity and the reliability of the optimization result are verified.
And S7, completing model selection design and obtaining an optimized design scheme of the cyclone desander.
In another technical solution, as shown in fig. 3 and 4, a specific method of parameterization setting is as follows:
a1, establishing or introducing a cyclone desander three-dimensional geometric model by using a Design Modler module, and carrying out parameterization setting on structural parameters of the cyclone desander three-dimensional geometric model in the Design Modler module, wherein the structural parameters comprise cylinder radius, insertion depth of an overflow pipe 2 and the like;
a2, applying an unstructured grid, reasonably controlling the grid scale to meet the numerical calculation precision requirement, and automatically dividing the grid by the unstructured grid by using an Ansys shifting module;
a3, establishing a rotational flow sand removal multiphase flow simulation model by using fluid simulation software, and completing the parametric setting of the operation parameters, the physical property parameters and the performance evaluation index parameters of the rotational flow sand remover by combining CFD-POST software.
If based on Fluent software, the CFD simulation modeling and the parameterization setting of other control variables are completed, the CFD simulation modeling and the parameterization setting of other control variables are included in two sub-modules, namely a Setup sub-module and a Solution sub-module in fig. 2(b), and then an Ansys Workbench self-contained fluid simulation POST-processing module CFD-POST is applied, namely a Results part in fig. 2(b), the completed POST-processing variables are usually the self-definition of target variables, for example, the performance parameter separation efficiency of the cyclone sand remover is defined as the ratio of the sand grain mass flow of a discharge port and a feed port, and usually, the definition of each target variable can also be completed in the numeric calculation software Fluent.
In another technical scheme, in the step A3, when a fluid simulation software is used for establishing a rotational flow sand removal multiphase flow simulation model, a non-structural tetrahedral mesh is converted into a polyhedral mesh; the multi-phase flow simulation selects an Euler two-phase flow model, wherein the main phase is water, the second phase is sand, and parameterization of sand grain diameter and the like is completed in the setting of physical properties of the working medium; the turbulent flow simulation adopts a Reynolds stress model, takes a speed inlet and a pressure outlet as boundary conditions, and completes the parameterization setting of the flow and the concentration of the sand-containing turbid liquid on the boundary of the speed inlet.
The rotational flow sand remover adopts the tetrahedral unstructured grid to divide the calculation domain, which often results in larger grid quantity and more occupied calculation resources, so the tetrahedral grid is firstly converted into the polyhedral grid, the grid quantity can be greatly reduced, and the model calculation speed is improved. The Eulerian (Eulerian) two-phase flow model is selected for multi-phase flow simulation, and the Reynolds Stress (RSM) model is adopted for turbulent flow simulation.
In another technical scheme, in step a3, when the fluid simulation software is used to establish the cyclone desanding multiphase flow simulation model, the relaxation factors in different iteration step intervals are controlled so that the relaxation factors are gradually reduced according to the increase of the iteration steps.
In the optimization design process of the cyclone desander, each control variable is continuously changed in the value range, particularly the change of the concentration and the grain size of the inlet sand grains can greatly influence the iterative calculation process and the convergence of CFD (computational fluid dynamics), and when the concentration and the grain size of the sand grains are both small, the iterative calculation residual error needs to reach 10-6The order of magnitude is even lower, the requirement on convergence accuracy can be met, at the moment, the relaxation factors must be low enough, the iterative computation step number must be sufficient enough, if a unified relaxation factor is adopted to carry out computation, the increase of computation resources and time cost must be caused, the embodiment gives consideration to the requirements on the iterative computation times and the convergence accuracy, different relaxation factors can be used in different iterative computation stages by calling a journal file or a TUI command by utilizing the rich custom function of Fluent, so that the relaxation factors are controlled to be gradually reduced from large in a complete computation process, the computation time is effectively reduced on the premise of meeting the convergence accuracy, the convergence factor is controlled according to the iteration step number, the low-concentration sand-containing working condition is automatically adapted, and the simulation accuracy is improved.
In another technical solution, as shown in fig. 4, the optimization design module includes three parts, namely an experimental design part, a response surface analysis part and an optimization analysis part, the experimental design part is configured to control a selection and generation manner of the experimental sample scheme based on the number of the input parameters and a given variation range, the response surface analysis part is configured to obtain a contribution rate of each input parameter for each output parameter, and the parameter optimization analysis part is configured to form a final single-target or multi-target optimization design scheme according to an experimental sample and an optimization algorithm after defining the target variable.
The Design of Experiments part provides various algorithms to control the whole sample quantity and selection mode, and seeks an Optimization Design scheme, at the moment, the value range and the value mode of each input variable can be confirmed according to the actual requirement, each output variable can be obtained by depending on the fluid simulation result, based on the sample obtained by the experiment Design, the Response Surface analysis part Response Surface can perform sensitivity analysis aiming at each output parameter, the contribution value of each input variable to the output variable is given, the independent change rule of the output variable along with each input variable is obtained according to the contribution value, after the Design exploration is completed, the parameter Optimization part Optimization can definitely take one or more output variables as target variables, the maximum value or the minimum value of the target variables as the target, and the compromise between multiple targets and performance is considered to obtain the Optimization Design scheme.
In another technical scheme, in the experiment design part, in the exploration process of the experiment sample, the parameterized fluid simulation workflow automatically updates a grid according to a single value of each input variable based on the rotational flow desanding multiphase flow simulation model, carries out fluid simulation, and directly counts the calculation result of the output variable obtained by the fluid simulation in the experiment sample.
In each experimental design process, although the number of input variable combinations is large, the parameterized fluid simulation workflow can automatically perform grid division and fluid simulation aiming at each sample, and count the corresponding output variable calculation value in an experimental design list, so that the model calculation speed is improved.
In another technical scheme, as shown in fig. 3, after the optimized parameters are obtained, based on the input parameters corresponding to the recommended optimal solution, on one hand, a physical model in a fluid simulation workflow and the input parameters are directly and manually changed, and fluid simulation is performed, on the other hand, the optimized parameters are added to a new experimental sample, and CFD numerical calculation is started again in the experimental design part, so that validity and reliability verification of a rotational flow desanding optimization design result is completed, and thus validity and reliability of the optimization result are further verified.
It should be noted that the performance optimization of the cyclone desander is usually accompanied with the whole machine model selection design. At the moment, the working process is still effective, all the design variable values are segmented in the experimental design part only by aiming at the experimental design and parameter optimization module, and the parameter optimization part is neglected, so that all the candidate samples can be established, the fluid simulation calculation is automatically carried out, and a theoretical basis is provided for formulating the cyclone desander type spectrum plan.
In conclusion, the efficient optimization design method of the cyclone desander based on the Ansys Workbench is based on the Ansys Workbench working platform, and a unified flow is established by the fluid simulation module and the optimization design module, so that the method is convenient and fast to realize; in the fluid simulation module, each structural parameter is established in a geometric design part, each operation parameter and physical property parameter are established in a CFD modeling part, the number of grids is effectively reduced by utilizing a polyhedral grid, and the size of a convergence factor is controlled according to iteration steps so as to automatically adapt to the low-concentration sand-containing working condition and improve the simulation precision; in the optimization design module, structural parameters, operating parameters and physical parameters are used as control variables (input parameters), performance parameters of the cyclone desander are used as target variables (output parameters), an experimental design and response surface analysis are effectively combined to establish a multi-objective rapid optimization design method, the cyclone desander is optimized and designed into an integral process, corresponding fluid simulation (including geometric establishment, grid division, CFD modeling, post-processing and the like) can be automatically completed according to an experimental design input parameter sample, an output parameter sample is obtained, errors caused by artificial participation in obtaining of each output parameter sample are avoided, and the optimization design efficiency is improved; the multi-parameter optimization is carried out by combining with response surface analysis, reverse input verification can be directly carried out, and the method is good in realizability and higher in scientificity.
Example (b):
the diameter of the column section 3 of the cyclone sand remover shown in figure 1 ranges from 90 mm to 140mm and the diameter of sand grains ranges from 50 μm to 200 μm under the limitation of field conditions. By applying the optimization design method provided by the invention, the diameter of the column section 3, the insertion depth of the overflow pipe 2 and the sand grain diameter are used as control variables, and the separation efficiency (taking the maximum value) is used as a target variable, so that the multi-parameter optimization and model selection design of the cyclone desander is successfully completed.
In the optimization implementation process, the modules are specifically set as follows:
(1) in the fluid simulation module, the diameter change interval of the column section 3 is 90-140 mm, the insertion depth change interval of the overflow pipe 2 is 0-200 mm, and the sand grain diameters respectively take discrete values of 100, 150 and 200 mu m; inlet conditions: the flow velocity of the turbid liquid containing sand is 6m/s, and the volume fraction of sand is 1 percent; the outlet conditions were: gauge pressure was 0 MPa.
(2) In the experiment design module, a center combination design method is selected, an experiment sample is automatically established, and the appropriate sample quantity is determined according to the quality of the experiment sample.
Based on a default multivariable optimization algorithm, the structural parameter optimization results corresponding to different sand grain diameters are obtained respectively, and the details are shown in the following table 1.
TABLE 1 structural optimization design result of cyclone sand remover
As the cyclone desanding separation efficiency is increased along with the increase of the grain size of sand grains, the optimized structural parameter values corresponding to different grain sizes tend to be consistent under the same working condition, and the scientificity and effectiveness of the high-efficiency optimization design method of the cyclone desander based on the Ansys Workbench are further proved. Meanwhile, the sensitivity analysis of the target parameters is carried out, the contribution rate of each control variable to the target variable can be directly obtained as shown in fig. 5, and a change rule curve of each target variable along with each control variable can be established, as can be seen from fig. 5, the sensitivity of the cylindrical radius R positioned in the first column on the left to the separation efficiency is the largest, the insertion depth h positioned in the middle is the second, and the minimum sensitivity is the sand grain diameter D positioned on the rightmost side.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (8)
1. The efficient optimization design method of the cyclone desander based on the Ansys Workbench is characterized in that a unified flow is built by a fluid simulation module and an optimization design module based on an Ansys Workbench working platform;
in the fluid simulation module, a fluid simulation working flow is utilized to complete the parametric setting of the cyclone desander, the parametrically set parameters comprise input parameters and output parameters, the input parameters comprise structural parameters, operation parameters and physical parameters of the cyclone desander, the output parameters comprise performance evaluation index parameters of the cyclone desander, and the input parameters and the output parameters are parametrically set;
in the optimization design module, all input parameters are respectively used as control variables, all output parameters are respectively used as target variables, automatic exploration of experimental samples is completed through orthogonal experimental design, multi-parameter optimization is carried out by combining response surface analysis, a theoretical optimization design scheme of the cyclone desander is obtained, and reverse substitution verification is utilized to form the optimization design scheme of the cyclone desander.
2. The efficient and optimized design method for the cyclone desander based on the Ansys Workbench according to claim 1, which is specifically performed according to the following steps:
s1, defining the input parameters and the output parameters of the cyclone desander, selecting a plurality of input parameters as the control variables respectively, selecting a plurality of output parameters as the output variables, and carrying out parametric setting on the cyclone desander;
s2, setting the variation range of the input parameters;
s3, establishing a combined experimental design scheme of the orthogonal experimental design;
s4, obtaining the experiment sample, wherein the experiment sample is counted with different input variable combinations and corresponding numerical values of the output variables;
s5, analyzing a response surface and sensitivity, giving a contribution value of each input variable to the output variable, and obtaining an individual change rule of the output variable along with each input variable according to the contribution values;
s6, according to the result of the step S5, definitely taking one or more output variables as target variables, taking the maximum value or the minimum value of the target variables as a target, considering the compromise between multiple targets and performance, obtaining a theoretical optimization design scheme of the cyclone sand remover represented by optimization parameters, and carrying out reverse verification;
and S7, completing model selection design and obtaining an optimized design scheme of the cyclone desander.
3. The efficient and optimized design method for the cyclone desander based on the Ansys Workbench as claimed in claim 2, characterized in that the specific method for parametric setting is as follows:
a1, establishing or introducing a cyclone desander three-dimensional geometric model by using a Design Modler module, and carrying out parameterization setting on structural parameters of the cyclone desander three-dimensional geometric model in the Design Modler module, wherein the structural parameters comprise the radius of a cylinder and the insertion depth of an overflow pipe;
a2, controlling the size of the grids, and automatically dividing the grids by using an unstructured grid by using an Ansys shifting module;
a3, establishing a rotational flow sand removal multiphase flow simulation model by using fluid simulation software, and completing the parametric setting of the operation parameters, the physical property parameters and the performance evaluation index parameters of the rotational flow sand remover by combining CFD-POST software.
4. The efficient optimization design method for the cyclone desander based on the Ansys Workbench according to the claim 3, wherein in the step A3, when the fluid simulation software is used for establishing the cyclone desanding multiphase flow simulation model, the non-structural tetrahedral mesh is converted into the polyhedral mesh; the multi-phase flow simulation selects an Euler two-phase flow model, wherein the main phase is water, the second phase is sand, and parameterization of sand grain diameter and the like is completed in the setting of physical properties of the working medium; the turbulent flow simulation adopts a Reynolds stress model, takes a speed inlet and a pressure outlet as boundary conditions, and completes the parameterization setting of the flow and the concentration of the sand-containing turbid liquid on the boundary of the speed inlet.
5. The Ansys Workbench-based high-efficiency optimization design method for the cyclone desander as claimed in claim 3, wherein in the step A3, when the fluid simulation software is used to build the cyclone desanding multiphase flow simulation model, the relaxation factors in different iteration steps are controlled to gradually decrease according to the increase of the iteration steps.
6. The Ansys Workbench-based cyclone grit catcher high-efficiency optimization design method as claimed in claim 3, wherein said optimization design module comprises three parts of experiment design, response surface analysis and optimization analysis, the experiment design part is used for controlling the selection and generation mode of said experiment sample scheme based on the number of said input parameters and the given variation range, the response surface analysis is used for obtaining the contribution rate of each said input parameter for each said output parameter, the parameter optimization analysis part is used for forming the final single-target or multi-target optimization design scheme according to the experiment sample and the optimization algorithm after defining said target variables.
7. The Ansys Workbench-based cyclone desander high-efficiency optimization design method as claimed in claim 6, wherein in the experimental sample exploration process, the experimental design part automatically updates the grid according to the single value of each input variable based on the parameterized fluid simulation workflow based on the cyclone desanding multiphase flow simulation model, develops fluid simulation, and directly counts the calculation result of the output variable obtained by fluid simulation in the experimental sample.
8. The efficient optimization design method of the cyclone desander based on the Ansys Workbench according to claim 6, wherein after the optimization parameters are obtained, based on the input parameters corresponding to the recommended optimal solution, on one hand, the physical model and the input parameters in the fluid simulation workflow are directly and manually changed, and fluid simulation is performed, on the other hand, the optimization parameters are added to a new experimental sample, and CFD numerical calculation is started again in the experimental design part, so that the verification of the effectiveness and reliability of the cyclone desanding optimization design result is completed.
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| CN116050009A (en) * | 2022-12-13 | 2023-05-02 | 北京交通大学 | Geometric profile optimization design method for dust collection port of steel rail abrasive belt grinding equipment |
| CN117195827A (en) * | 2023-11-07 | 2023-12-08 | 巨霖科技(上海)有限公司 | Grid boundary surface identification method, finite element calculation method and device |
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| CN116050009A (en) * | 2022-12-13 | 2023-05-02 | 北京交通大学 | Geometric profile optimization design method for dust collection port of steel rail abrasive belt grinding equipment |
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| CN117195827A (en) * | 2023-11-07 | 2023-12-08 | 巨霖科技(上海)有限公司 | Grid boundary surface identification method, finite element calculation method and device |
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