Design method, device, equipment and medium for pipeline spray double-stage jet type chemical mixer

Abstract

The application discloses a pipeline spray double-stage jet flow type mixed medicine device design method, device, equipment and medium, and the method comprises the steps of obtaining a leading parameter of a pipeline spray double-stage jet flow type mixed medicine device structure parameter, determining a parameter variable range of the leading parameter; based on an orthogonal test method, the leading parameter is designed, and an orthogonal test scheme is determined; a three-dimensional model of the pipeline spray double-stage jet flow type mixed medicine device corresponding to the orthogonal test scheme is obtained; based on the three-dimensional model, computational fluid dynamics simulation is carried out on the pipeline spray double-stage jet flow type mixed medicine device, and simulation results corresponding to the orthogonal test scheme are obtained; based on the simulation results, a comprehensive evaluation index is established, and an optimal structure parameter combination of the pipeline spray double-stage jet flow type mixed medicine device is obtained. Based on computational fluid dynamics, the pipeline spray double-stage jet flow type mixed medicine device is analyzed, and the optimal structure parameter combination is obtained, so that the fluid turbulent kinetic energy is improved, the suction port reverse rising height is reduced, and the water medicine mixing effect is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to a pipeline spray double-stage jet flow type pesticide mixing device design method, apparatus, equipment and medium, belonging to the orchard spray pesticide field. BACKGROUND

[0002] Under the topographic conditions of many mountains in China, the pesticide application in mountain orchards mainly relies on backpack or mobile stretcher type spray equipment and is equipped with long rubber pipes, but this method has high labor intensity and low pesticide application efficiency. In comparison, the pipeline spray technology can set multiple pesticide outlets and can operate simultaneously in mountain orchards, which can significantly reduce labor intensity and improve operation efficiency, and is particularly suitable for mountain orchards. However, the traditional pipeline spray system usually requires the pesticide applicator to pre-mix pesticides and water in the pesticide pool according to experience, which not only takes time and has poor mixing effect, but also easily leaves a large amount of pesticide liquid in the pipeline, thereby causing pesticide waste and environmental pollution.

[0003] To avoid transporting the pre-mixed water and pesticides from the machine room to the spray gun or spray head through a long distance spray pipeline, an online pesticide mixing system is introduced by directly configuring a pesticide mixing device at the end of the spray pipeline, which can effectively solve the problems of the traditional method. As the core component of the system, the pesticide mixing device is crucial to improve the effect of pesticide application operation. The existing pipeline spray system only has a single-stage jet flow pesticide mixing device designed based on the Venturi principle, which although has simple design and low cost, but performs poorly in mixing uniformity and flexibility in adjusting the mixing ratio. Therefore, the present application designs a pipeline spray double-stage jet flow type pesticide mixing device, which significantly improves the mixing uniformity by mixing in the upper stage and then entering the lower stage throat section for secondary mixing.

[0004] In the pipeline spray pesticide application operation, the system usually requires a high working pressure of 0.8 MPa to ensure good spray effect. Considering that the standard inner diameters of the existing high-pressure spray hoses are usually 6.5 mm, 8.5 mm and 13 mm, and other sizes need to be customized, which may cause a significant increase in cost. Therefore, to adapt to the design requirements of the pipeline spray double-stage jet flow type pesticide mixing device, the present application designs 6.5 mm and 13 mm as the inner diameters of the first water inlet and the second water inlet of the pipeline spray double-stage jet flow type pesticide mixing device, respectively, and the corresponding outer diameters are 11 mm and 20 mm. Such a design makes the pipeline spray double-stage jet flow type pesticide mixing device compatible with conventional high-pressure spray hoses through M14x1.5 and M22x1.5 standard interfaces, effectively reducing the overall cost of the system, while ensuring the efficiency and reliability of the spray operation.

[0005] Turbulent kinetic energy plays a key role in the uniformity of mixing. Generally, higher turbulent kinetic energy can significantly accelerate the mixing process, ensuring that pesticides and water can be quickly and uniformly combined. However, the adverse upward height at the suction port may hinder the effective entry of the pesticide liquid into the throat section, thereby weakening the mixing efficiency. By designing the structural parameters and using computational fluid dynamics (CFD) simulation, the optimal combination of high turbulent kinetic energy and low adverse upward height is determined to improve the performance of the pipeline spray double-stage jet-type pesticide mixer. SUMMARY

[0006] Therefore, the present application provides a pipeline spray double-stage jet-type pesticide mixer design method, device, computer equipment and storage medium, which analyzes the pipeline spray double-stage jet-type pesticide mixer based on computational fluid dynamics to obtain the optimal combination of structural parameters, thereby improving the turbulent kinetic energy of the fluid, reducing the adverse upward height of the suction port, and improving the water-pesticide mixing effect.

[0007] The first object of the present application is to provide a pipeline spray double-stage jet-type pesticide mixer design method

[0008] The second object of the present application is to provide a pipeline spray double-stage jet-type pesticide mixer design device.

[0009] The third object of the present application is to provide a computer equipment.

[0010] The fourth object of the present application is to provide a storage medium.

[0011] The first object of the present application can be achieved by adopting the following technical solutions:

[0012] A pipeline spray double-stage jet-type pesticide mixer design method, the method comprising:

[0013] obtaining the dominant parameters of the structural parameters of the pipeline spray double-stage jet-type pesticide mixer, and determining the parameter variable range of the dominant parameters;

[0014] designing the dominant parameters based on the orthogonal test method, and determining the orthogonal test scheme;

[0015] obtaining the three-dimensional model of the pipeline spray double-stage jet-type pesticide mixer corresponding to the orthogonal test scheme;

[0016] performing computational fluid dynamics simulation on the pipeline spray double-stage jet-type pesticide mixer based on the three-dimensional model to obtain the simulation results corresponding to the orthogonal test scheme;

[0017] Based on the simulation results, the comprehensive evaluation index is established to obtain the optimal combination of structural parameters of the pipeline spray double-stage jet-type pesticide mixer.

[0018] Further, the pipeline spray double-stage jet flow type chemical mixing device structure comprises an upper-stage chemical mixing device and a lower-stage chemical mixing device.

[0019] The upper-stage chemical mixing device comprises an upper-stage contraction section, an upper-stage suction section, an upper-stage throat section and an upper-stage diffusion section, and the lower-stage chemical mixing device comprises a lower-stage contraction section, a lower-stage suction section, a lower-stage throat section and a lower-stage diffusion section; the upper-stage diffusion section is connected with the lower-stage suction section, the front ends of the upper-stage contraction section and the lower-stage contraction section are respectively provided with a first water inlet and a second water inlet, and the tail end of the upper-stage suction section is provided with a suction port; the main parameters comprise an upper-stage diffusion angle, a lower-stage contraction angle, a lower-stage throat diameter, a lower-stage throat length and a lower-stage diffusion angle.

[0020] Further, the inner diameter of the first water inlet and the front end position of the upper-stage contraction section is 6.5 mm, and the outer diameter is 11 mm; the inner diameter of the second water inlet and the front end position of the lower-stage contraction section is 13 mm, and the outer diameter is 20 mm; and the inner diameter of the suction port is 2 mm, and the outer diameter is 4 mm.

[0021] Further, the main parameters are designed based on the orthogonal test method, and an orthogonal test scheme is determined, comprising:

[0022] The lower-stage contraction angle, the lower-stage throat diameter, the lower-stage throat length, the lower-stage diffusion angle and the upper-stage diffusion angle are taken as factors, and the orthogonal test scheme is determined according to the factors corresponding to different levels.

[0023] Further, the pipeline spray double-stage jet flow type chemical mixing device is simulated based on the three-dimensional model, and simulation results corresponding to the orthogonal test scheme are obtained, comprising:

[0024] The fluid domain of the three-dimensional model is extracted and the inlet and outlet are named;

[0025] The three-dimensional model is meshed and the mesh quality is checked, and after the mesh quality is checked to be qualified, the solving mode is switched to;

[0026] The corresponding configuration is performed for the solving mode;

[0027] The fluid dynamics inside the pipeline spray double-stage jet flow type chemical mixing device is numerically solved according to the configuration, and detailed simulation data of the velocity field, the pressure field, the turbulent kinetic energy and the backflow rising height of the suction port are obtained.

[0028] Further, the corresponding configuration is performed for the solving mode, comprising:

[0029] Realizable k-epsilon is configured as a turbulence model, a standard near-wall treatment is adopted, and a component transport model is used to process liquid water and a newly established pesticide component, import and export boundary conditions are set, the solving method is selected as SIMPLEC, in the spatial discretization, the Least Squares Cell Based method is used to process the gradient, the PRESTO! algorithm is used for the pressure equation, and the discrete methods of momentum, turbulent kinetic energy, turbulent dissipation rate, pesticide and energy are set as Second Order Upwind.

[0030] Further, based on the simulation result, a comprehensive evaluation index is established, and an optimal structure parameter combination of the pipeline spray double-stage jet flow type pesticide mixer is obtained.

[0031] The turbulent kinetic energy and the reverse rising height of the pesticide suction port are normalized, and weights are assigned to the turbulent kinetic energy and the reverse rising height of the pesticide suction port.

[0032] The normalized values are multiplied by the weights to obtain a comprehensive score, and the comprehensive score is used as the comprehensive evaluation index.

[0033] According to the comprehensive evaluation index, the optimal structure parameter combination of the pipeline spray double-stage jet flow type pesticide mixer is obtained.

[0034] The second object of the application can be achieved by adopting the following technical solutions:

[0035] A pipeline spray double-stage jet flow type pesticide mixer design device, the device comprises:

[0036] A first acquisition module is configured to acquire a dominant parameter of a pipeline spray double-stage jet flow type pesticide mixer structure parameter, and determine a parameter variable range of the dominant parameter.

[0037] A design module is configured to design the dominant parameter based on an orthogonal test method, and determine an orthogonal test scheme.

[0038] A second acquisition module is configured to acquire a three-dimensional model of the pipeline spray double-stage jet flow type pesticide mixer corresponding to the orthogonal test scheme.

[0039] A simulation module is configured to perform computational fluid dynamics simulation on the pipeline spray double-stage jet flow type pesticide mixer based on the three-dimensional model, and obtain a simulation result corresponding to the orthogonal test scheme.

[0040] A determination module is configured to establish a comprehensive evaluation index based on the simulation result, and obtain an optimal structure parameter combination of the pipeline spray double-stage jet flow type pesticide mixer.

[0041] The third object of the application can be achieved by adopting the following technical solutions:

[0042] The computer device comprises a processor and a memory for storing a program executable by the processor, and the processor implements the above-mentioned pipeline spray double-stage jet flow type chemical mixer design method when executing the program stored in the memory.

[0043] The fourth object of the present application can be achieved by adopting the following technical solution:

[0044] A storage medium stores a program, and the program is executed by a processor to implement the above-mentioned pipeline spray double-stage jet flow type chemical mixer design method.

[0045] The present application has the following beneficial effects relative to the prior art:

[0046] 1. The pipeline spray double-stage jet flow type chemical mixer based on the computational fluid dynamics simulation technology is designed and analyzed in the present application, simulation experiments are carried out under each level combination of the main parameters including the lower stage contraction angle, the lower stage throat diameter, the lower stage throat length, the lower stage diffusion angle and the upper stage diffusion angle, and the optimal structure parameter combination is obtained, so that the double-stage jet flow type chemical mixer based on the pipeline spray is designed, and the water-chemical mixing effect is improved.

[0047] 2. The present application uses the multi-index normalized comprehensive score of turbulent kinetic energy and adverse updraft height as the judgment standard, which can more directly and clearly determine the corresponding comprehensive performance under each combination, and the computational fluid dynamics simulation can provide directionality for the experiment, and can intuitively reflect the water-chemical mixing effect, thereby providing a new solution for reasonably and efficiently designing the pipeline spray double-stage jet flow type chemical mixer. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the drawings shown.

[0049] Figure 1 The flowchart of the pipeline spray double-stage jet flow type chemical mixer design method of the present application embodiment 1.

[0050] Figure 2 The model diagram of the pipeline spray double-stage jet flow type chemical mixer of the present application embodiment 1.

[0051] Figure 3 The iteration residual diagram of test number 8 of the present application embodiment 1.

[0052] Figure 4 The turbulent kinetic energy comparison diagram of test numbers 1 and 8 of the present application embodiment 1.

[0053] Figure 5 Figure 1 is a diagram of the reverse rising height of the suction section for test numbers 1, 8, 13 and 14 of the embodiment 1 of the present application.

[0054] Figure 6 Figure 1 is a diagram of the reverse rising height of the suction section for test numbers 1, 8, 13 and 14 of the embodiment 1 of the present application.

[0055] Figure 7 Figure 1 is a diagram of the reverse rising height of the suction section for test numbers 1, 8, 13 and 14 of the embodiment 1 of the present application. DETAILED DESCRIPTION

[0056] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0057] Embodiment 1

[0058] As shown in Figure 1, the present embodiment provides a design method of a pipeline spray double-stage jet flow type medicine mixing device, which comprises the following steps: Figure 1 S101, acquiring the leading parameter of the structure parameter of the pipeline spray double-stage jet flow type medicine mixing device, and determining the parameter variable range of the leading parameter.

[0059] In the present embodiment, the pipeline spray double-stage jet flow type medicine mixing device structure, as shown in Figure 1, comprises an upper medicine mixing device and a lower medicine mixing device; the upper medicine mixing device comprises an upper contraction section 5, an upper suction section 7, an upper throat section 4 and an upper diffusion section 3, and the lower medicine mixing device comprises a lower contraction section 12, a lower suction section 2, a lower throat section 11 and a lower diffusion section 12; the upper diffusion section 3 is connected with the lower suction section 2, the front ends of the upper contraction section 5 and the lower contraction section 12 are respectively provided with a first water inlet 6 and a second water inlet 1, and the end of the upper suction section 7 is provided with a suction port 8; wherein the inner diameter of the first water inlet 6 and the front end position of the upper contraction section 5 is 6.5 mm, and the outer diameter is 11 mm; the inner diameter of the second water inlet 1 and the front end position of the lower contraction section 12 is 13 mm, and the outer diameter is 20 mm; the inner diameter of the suction port 8 is 2 mm, and the outer diameter is 4 mm.

[0060] Figure 2

[0061] ​​Further, in the pipeline spray double-stage jet flow type pesticide mixer, when the high-pressure water flow passes through the contraction sections 5 and 12 with gradually reduced cross sections, the water flow speed gradually increases, the kinetic energy increases, and the pressure gradually decreases; the water flow enters the upper-stage throat section 4 and the lower-stage throat section 11 from the upper-stage contraction section 5 and the lower-stage contraction section 12, and a negative pressure is formed in the upper-stage throat section 4 and the lower-stage throat section 11; wherein, the pesticide mother liquor is sucked into the pesticide mixer from the pesticide suction port 8 under the action of atmospheric pressure, and enters the throat section 4 together with the high-pressure water flow; in the upper-stage throat section 4, the low-pressure pesticide mother liquor and the high-pressure water flow exchange energy and mix due to the turbulent flow; then, the mixed liquid enters the upper-stage diffusion section 3 with gradually increased cross section, the flow speed gradually decreases, the pressure gradually increases, and then the mixed liquid enters the lower-stage throat section 11 again to exchange energy and mix, and finally the pesticide liquid after twice mixing flows out from the outlet 9, and the whole mixing process is completed.

[0062] In the process of establishing the orthogonal test table of the three-dimensional model, the influence of different structure parameters on the performance of the pipeline spray double-stage jet flow type pesticide mixer needs to be studied. In the pipeline spray double-stage jet flow type pesticide mixer, the lower-stage pesticide mixer part plays a more dominant role in the whole structure due to its larger structure ratio and larger flow than the upper-stage pesticide mixer. Based on the comprehensive consideration of turbulent flow kinetic energy and inverse lift height, the upper-stage diffusion angle (°), the lower-stage contraction angle (°), the lower-stage throat diameter (mm), the lower-stage throat length (mm) and the lower-stage diffusion angle (°) are selected as the key structure parameters, i.e. the dominant parameters, that affect the mixing performance. The structure parameters selected in this embodiment are more representative in the test results, thereby greatly reducing the calculation cost and enhancing the applicability. Each factor has 3 levels, and the specific values are shown in Table 1 below. The upper-stage diffusion angle includes [8, 10, 12]; the lower-stage contraction angle includes [20, 21, 22]; the lower-stage throat diameter includes [4, 4.5, 5]; the lower-stage throat length includes [18, 22, 26]; and the lower-stage diffusion angle includes [8, 10, 12], as shown in Table 1 below.

[0063] Table 1: Dominant parameters and their research levels

[0064]

[0065] S102, design the dominant parameters based on the orthogonal test method, and determine the orthogonal test scheme.

[0066] In this embodiment, the dominant parameters are designed by the orthogonal test method, which can obtain neat and uniform sample points, and reduce the workload and cost. The lower-stage contraction angle, the lower-stage throat diameter, the lower-stage throat length, the lower-stage diffusion angle and the upper-stage diffusion angle are taken as factors, and the orthogonal test scheme is determined according to the factors corresponding to different levels, as shown in Table 2 below.

[0067] Table 2: Orthogonal test table

[0068]

[0069] S103, acquire a three-dimensional model of the pipeline spray double-stage jet flow type pesticide mixer corresponding to the orthogonal test scheme.

[0070] In this embodiment, after obtaining the structural parameter sample points of the pipeline spray double-stage jet flow type pesticide mixer through orthogonal experiment, a three-dimensional model of the pipeline spray double-stage jet flow type pesticide mixer is established using SolidWorks software.

[0071] S104, perform computational fluid dynamics simulation on the pipeline spray double-stage jet flow type pesticide mixer based on the three-dimensional model to obtain simulation results corresponding to the orthogonal test scheme.

[0072] Further, the step S104 includes:

[0073] S1041, extract the fluid domain of the three-dimensional model and name the inlet and outlet.

[0074] In this embodiment, the three-dimensional model is imported into SpaceClaim software for preprocessing, including extracting the fluid domain of the model and naming the inlet and outlet.

[0075] S1042, perform mesh division on the three-dimensional model and check the mesh quality, and switch to the solving mode after the mesh quality is qualified.

[0076] S1043, configure the corresponding for the solving mode.

[0077] In this embodiment, Realizable k-ε is configured as the turbulence model, standard near-wall treatment is performed, and the component transport model is used to process liquid water and the newly created pesticide component. The inlet and outlet boundary conditions are set, the solving method is selected as SIMPLEC, and in spatial discretization, the Least Squares Cell Based method is used to process the gradient, the PRESTO! algorithm is used for the pressure equation, and the discrete methods for momentum, turbulent kinetic energy, turbulent dissipation rate, pesticide, and energy are set as Second Order Upwind.

[0078] Further, the inlet and outlet boundary conditions are set as follows: the pressures of the first water inlet and the second water inlet are both set to 2 MPa, the mass fraction of the pesticide component is 0, the pressure of the pesticide suction port is set to 0, the mass fraction of the pesticide is 1, and the outlet pressure is set to 1 MPa; in addition, the residual error is set to 10 -4 , mixed initialization is used, the number of iterations for running calculation is set to 3000, and the reporting interval is 5.

[0079] S1044, according to the configuration of the pipe spray double-stage fluidics of the mixed medicine device inside numerical solution, obtain velocity field, pressure field, turbulent kinetic energy and the detailed simulation data of medicine suction port countercurrent rising height.

[0080] In this embodiment, according to the configuration of the pipe spray double-stage fluidics of the mixed medicine device inside numerical solution, as shown in Figure 3 The iteration residual figure of test No. 8 is shown, and the calculation is terminated after meeting the convergence condition, and the inlet and outlet fluxes are calculated to the order of 10 -6 , indicating that the calculation result is effective. Finally, the detailed simulation data file is saved for analysis.

[0081] In this embodiment, the component transport and Realizable k-e turbulence model are selected for network model calculation. The component transport model is selected because it can handle the diffusion, convection and interaction of multiple chemical components, accurately simulate the dissolution and diffusion process of water-soluble pesticides in water, and provide the concentration distribution of each component in the flow field. This makes it particularly suitable for simulating the mixing process of pesticides in water, especially when tracking changes in pesticide concentration, evaluating mixing effectiveness or considering chemical reactions, it has very high applicability and accuracy. The Realizable k-ε turbulence model is selected because it has better handling capability for rotational flow, separated flow and high curvature flow compared to the Standard k-ε model, and can provide more accurate turbulence prediction. Its improved turbulence dissipation rate equation makes it perform better in predicting mixing uniformity, turbulence dissipation and local flow characteristics, providing more accurate concentration field and mixing uniformity prediction, and better handling complex geometry and flow conditions; in the complex turbulent flow field of water and pesticide mixing, SIMPLEC can speed up convergence while maintaining accuracy, Least Squares Cell Based method can provide more accurate flow gradient information, reduce errors introduced by grid non-uniformity, and thus improve overall simulation accuracy, PRESTO! can more accurately handle high-pressure flow and mixing inside the jet nozzle by improving the pressure interpolation method, which is specifically designed for rotational flow, vortex flow and strong pressure difference flow. In the jet mixer, the pressure distribution is critical, and PRESTO! can provide more accurate pressure field simulation results. For momentum, turbulence kinetic energy, turbulence dissipation rate, pesticide concentration and energy equation, the Second Order Upwind discretization method is used. Compared with the First Order Upwind method, the Second Order Upwind method uses flow information from multiple cell points to estimate variable values, thereby improving the accuracy of the calculation, especially for simulating moderate to high turbulence or flow with strong convection effects. It reduces numerical dissipation, i.e. avoids over-smoothing of physical flow characteristics, thereby better preserving turbulence characteristics and flow details.

[0082] After obtaining the calculation result file, cloud and vector diagrams are generated through the post-processing function of Fluent, which can intuitively display and analyze the flow field characteristics; such as Figure 4 The XY direction cross-section turbulent kinetic energy cloud diagram shows the turbulent kinetic energy distribution and intensity of test numbers 1 and 8 in each part of the pipe spray double-stage jet mixer; at the same time, Figure 5 The XY direction cross-section velocity vector diagram reveals the suction port reverse upward height under different test numbers; test numbers 1, 13 and 14 show different degrees of reverse flow upward, while test number 8 performs better in this aspect and does not show reverse flow upward.

[0083] To obtain the maximum value of turbulent kinetic energy, select Volume Integrals under the Reports menu, then click Max. In the pop-up window, set Turbulent Kinetic Energy (k) as the variable. Select the entire flow field as the viewing area, and click Compute to obtain the maximum value of turbulent kinetic energy in the selected area; to obtain the inverse rise height, open the probe to obtain the coordinates and flow information of a point in the flow field, and calculate the distance between the reference point and the end point of the rise height by comparing the coordinate values of the two points. Record the obtained maximum value of turbulent kinetic energy and the inverse rise height in the orthogonal test table, and the decimal precision is retained to two digits.

[0084] S105、Based on the simulation results, establish a comprehensive evaluation index to obtain the optimal structure parameter combination of the pipeline spray double-stage jet flow type chemical mixer.

[0085] Range analysis is an effective method to evaluate the influence of different factors on the result variable. By comparing the range of different factors, it can be identified which factors have the greatest influence on the result variable. Since multiple indexes are involved, including turbulent kinetic energy and inverse rise height, range analysis needs to be performed for each index respectively to evaluate the influence of each factor on different indexes, as shown in Tables 3 and 4 below, which are the range analysis tables for turbulent kinetic energy and inverse rise height respectively.

[0086] Table 3 Range analysis results of turbulent kinetic energy

[0087]

[0088]

[0089] Table 4 Range analysis results of inverse rise height

[0090]

[0091] Wherein, Ki represents the sum of all experimental results at the i-th level of a certain factor, and the overlined Ki value represents the mean value of that level. These mean values are used to calculate the range value R, which is the maximum value minus the minimum value between different mean values. The R value is used to evaluate and rank the primary and secondary influence of factors.

[0092] The primary and secondary order of factors affecting turbulent kinetic energy is: upper diffusion angle, lower diffusion angle, lower throat diameter, lower throat length, lower contraction angle; the primary and secondary order of factors affecting inverse rise height is: lower throat diameter, lower diffusion angle, lower throat length, lower contraction angle, upper diffusion angle.

[0093] In this embodiment, according to the primary and secondary order of factors of turbulent kinetic energy and adverse updraft height and the size of R value, there may be a more optimal parameter combination that is not arranged in the orthogonal test table, which is named test number 19. The upper level diffusion angle has the greatest impact on the turbulent kinetic energy, so its optimal level is selected as 12°; the lower level contraction angle has a small impact on the turbulent kinetic energy and the adverse updraft height, so 20° is selected; the lower level throat diameter has the greatest impact on the adverse updraft height, so its optimal level of 5 mm is selected; the optimal levels of the lower level throat length and the lower level diffusion angle are both 26 mm and 8°. The final combination is: the upper level diffusion angle is 12°, the lower level contraction angle is 20°, the lower level throat diameter is 5 mm, the lower level throat length is 26 mm, and the lower level diffusion angle E is 8°; the subsequent comprehensive analysis and evaluation are performed together with each test number in the orthogonal test table.

[0094] By using the method of normalization processing and weighted average, the performances of different indicators can be compared on the same scale. On this basis, the turbulent kinetic energy and the adverse updraft height of each test number are normalized, wherein the turbulent kinetic energy is defined as the greater the better, and the adverse updraft height is defined as the smaller the better, and both are given a weight of 50%, to obtain the comprehensive score of each test as a comprehensive evaluation index. This method allows comprehensive comparison and evaluation on the basis of quantification, as shown in Table 5 below, which is a normalized comprehensive score table.

[0095] Table 5 Normalized Comprehensive Score Table

[0096]

[0097] Among them, test number 8 performs excellently in the turbulent kinetic energy index, with a normalized value of 0.71 at a relatively high level. The adverse updraft height reaches an ideal state, with an original value of 0 and a normalized score of 1.00. The comprehensive score is 0.85. This indicates that after considering the two key performance indicators, test number 8 has the optimal performance characteristics. Compared with other test numbers, test number 8 has the highest comprehensive score, so it is selected as the final optimal structural parameter combination.

[0098] It should be noted that although the method operations of the above-described embodiments are described in a particular, sequential order, this need not be the case; indeed, various lesser and greater levels of order between operations can be performed depending on the circumstances. Additionally, operations can be performed in an order that differs from the described performing order. Additionally or alternatively, certain steps can be omitted, combined, and / or performed in parallel with each other.

[0099] Example 2:

[0100] As Figure 6As shown, this embodiment provides a design device for a pipeline spray two-stage jet mixer. The device includes a first acquisition module 601, a design module 602, a second acquisition module 603, a simulation module 604, and a determination module 605. The specific descriptions of each module are as follows:

[0101] The first acquisition module 601 is used to acquire the dominant parameters of the structure parameters of the pipeline spray two-stage jet mixer and determine the range of parameter variables of the dominant parameters.

[0102] Design module 602 is used to design the dominant parameters based on the orthogonal experimental method and determine the orthogonal experimental scheme;

[0103] The second acquisition module 603 is used to acquire the three-dimensional model of the pipeline spray two-stage jet mixer corresponding to the orthogonal test scheme.

[0104] Simulation module 604 is used to perform computational fluid dynamics simulation on a pipeline spray two-stage jet mixer based on a three-dimensional model, and obtain simulation results corresponding to the orthogonal test scheme.

[0105] Module 605 is used to establish comprehensive evaluation indicators based on simulation results and obtain the optimal combination of structural parameters for the pipeline spray two-stage jet mixer.

[0106] It should be noted that the device provided in this embodiment is only an example of the above-described division of functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure can be divided into different functional modules to complete all or part of the functions described above.

[0107] Example 3:

[0108] This embodiment provides a computer device, such as... Figure 7 As shown, it includes a processor 702, a memory, an input device 703, a display device 704, and a network interface 705 connected via a device bus 701. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium 706 and an internal memory 707. The non-volatile storage medium 706 stores operating devices, computer programs, and a database. The internal memory 707 provides an environment for the operation of the operating devices and computer programs in the non-volatile storage medium. When the processor 702 executes the computer program stored in the memory, it implements the pipeline spray two-stage jet mixer design method of Embodiment 1 described above, as follows:

[0109] The dominant parameter of the structure parameter of the pipeline spray double-stage jet flow type chemical mixer is acquired, and a parameter variable range of the dominant parameter is determined; the dominant parameter is designed based on an orthogonal test method, and an orthogonal test scheme is determined; a three-dimensional model of the pipeline spray double-stage jet flow type chemical mixer corresponding to the orthogonal test scheme is acquired; the pipeline spray double-stage jet flow type chemical mixer is simulated based on the three-dimensional model, and a simulation result corresponding to the orthogonal test scheme is obtained; based on the simulation result, a comprehensive evaluation index is established, and an optimal structure parameter combination of the pipeline spray double-stage jet flow type chemical mixer is obtained.

[0110] Embodiment 4

[0111] The embodiment provides a storage medium, which is a computer readable storage medium, and stores a computer program. The computer program is executed by a processor to implement the pipeline spray double-stage jet flow type chemical mixer design method in the above embodiment 1, and the method is as follows.

[0112] The dominant parameter of the structure parameter of the pipeline spray double-stage jet flow type chemical mixer is acquired, and a parameter variable range of the dominant parameter is determined; the dominant parameter is designed based on an orthogonal test method, and an orthogonal test scheme is determined; a three-dimensional model of the pipeline spray double-stage jet flow type chemical mixer corresponding to the orthogonal test scheme is acquired; the pipeline spray double-stage jet flow type chemical mixer is simulated based on the three-dimensional model, and a simulation result corresponding to the orthogonal test scheme is obtained; based on the simulation result, a comprehensive evaluation index is established, and an optimal structure parameter combination of the pipeline spray double-stage jet flow type chemical mixer is obtained.

[0113] It should be noted that the computer readable storage medium of the embodiment can be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection with one or more conductive wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0114] In this embodiment, the computer readable storage medium can be any tangible medium that includes or stores a program, which can be used by or in connection with an instruction execution system, apparatus, or device. In this embodiment, the computer readable signal medium can include a computer readable program that is communicated, propagated or transported, for example, over a computer readable medium, in a baseband or as part of a carrier, such as a carrier wave. Computer readable signal media can take many forms, including but not limited to, electro-magnetic, optical or any suitable combination of these. Computer readable signal media can be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate or transport programs for use by or in connection with an instruction execution system, apparatus or device. Programs included or carried by the computer readable storage medium maybe transmitted, propagated, or transported in a variety of ways, including but not limited to, electronic, optical, electromagnetic, or any suitable combination thereof. Computer readable storage media can be implemented in any method or technology for use by or in connection with an instruction execution system, apparatus, or device, including but not limited to, application specific integrated circuits, computer readable instructions, action sheets, or any suitable combination thereof.

[0115] The computer program included in the computer readable storage medium can be written in any suitable programming language, including object oriented programming languages, such as Java, Python, C++, and conventional procedural programming languages, such as C language or similar programming languages. The program can be executed entirely on the user computer, partially on the user computer, as a separate software package, partially on the user computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user computer through any kind of network, including local area network (LAN) or wide area network (WAN), or can be connected to an external computer (for example, through the Internet by using an Internet service provider).

[0116] In summary, the present application analyzes the pipe spray double stage jet mixing device based on computational fluid dynamics, obtains the optimal combination of structure parameters, so as to improve the fluid turbulent kinetic energy, reduce the suction port reverse rising height, and improve the water and medicine mixing effect.

[0117] The above is only the preferred embodiment of the present application, but the protection scope of the present application is not limited to this. Any skilled person in the art can make equivalent replacement or change according to the technical scheme and the inventive concept of the present application within the scope disclosed by the present application, which belongs to the protection scope of the present application.

Claims

1. A method for designing a pipe-injected two-stage fluidic chemical injector, characterized in that, The method comprises: obtaining a dominant parameter of a pipeline spray double-stage jet flow type chemical mixer structure parameter, determining a parameter variable range of the dominant parameter; designing the dominant parameter based on an orthogonal test method, and determining an orthogonal test scheme; obtaining a three-dimensional model of the pipeline spray double-stage jet flow type chemical mixer corresponding to the orthogonal test scheme; performing computational fluid dynamics simulation on the pipeline spray double-stage jet flow type chemical mixer based on the three-dimensional model, and obtaining simulation results corresponding to the orthogonal test scheme; based on the simulation results, establishing a comprehensive evaluation index, and obtaining an optimal structure parameter combination of the pipeline spray double-stage jet flow type chemical mixer; the computational fluid dynamics simulation on the pipeline spray double-stage jet flow type chemical mixer based on the three-dimensional model, and obtaining the simulation results corresponding to the orthogonal test scheme, comprises: extracting a fluid domain of the three-dimensional model and naming the inlet and outlet; dividing the three-dimensional model into grids and checking the grid quality, and switching to a solving mode after the grid quality is checked to be qualified; configuring the solving mode accordingly; numerically solving the fluid dynamics inside the pipeline spray double-stage jet flow type chemical mixer according to the configuration, and obtaining detailed simulation data of a velocity field, a pressure field, a turbulent kinetic energy and an upward height of the suction port; based on the simulation results, establishing a comprehensive evaluation index, and obtaining an optimal structure parameter combination of the pipeline spray double-stage jet flow type chemical mixer, comprises: normalizing the turbulent kinetic energy and the upward height of the suction port, and assigning weights to the turbulent kinetic energy and the upward height of the suction port; summing the normalized values multiplied by the weights to obtain a comprehensive score, and taking the comprehensive score as the comprehensive evaluation index; obtaining the optimal structure parameter combination of the pipeline spray double-stage jet flow type chemical mixer according to the comprehensive evaluation index.

2. The method of designing a pipe-in-pipe spray two-stage fluidic chemical injector according to claim 1, wherein, The pipeline spray double-stage jet flow type chemical mixer structure comprises an upper-stage chemical mixer and a lower-stage chemical mixer. The upper-stage chemical mixer comprises an upper-stage contraction section, an upper-stage suction section, an upper-stage throat section and an upper-stage diffusion section, and the lower-stage chemical mixer comprises a lower-stage contraction section, a lower-stage suction section, a lower-stage throat section and a lower-stage diffusion section. The upper-stage diffusion section is connected with the lower-stage suction section, the first water inlet and the second water inlet are arranged at the front ends of the upper-stage contraction section and the lower-stage contraction section respectively, the suction port is arranged at the end of the upper-stage suction section, and the dominant parameters comprise an upper-stage diffusion angle, a lower-stage contraction angle, a lower-stage throat diameter, a lower-stage throat length and a lower-stage diffusion angle.

3. The method of designing a pipe-in-pipe spray two-stage fluidic chemical injector according to claim 2, wherein, The inner diameter of the first water inlet and the position of the front end of the upper-stage contraction section is 6.5 mm, and the outer diameter is 11 mm; the inner diameter of the second water inlet and the position of the front end of the lower-stage contraction section is 13 mm, and the outer diameter is 20 mm; and the inner diameter of the suction port is 2 mm, and the outer diameter is 4 mm.

4. The method of designing a pipe-in-pipe spray two-stage fluidic chemical injector according to claim 2, wherein, The design of the dominant parameter based on the orthogonal test method, and the determination of the orthogonal test scheme, comprises: taking the lower-stage contraction angle, the lower-stage throat diameter, the lower-stage throat length, the lower-stage diffusion angle and the upper-stage diffusion angle as factors, and determining the orthogonal test scheme according to the factors corresponding to different levels.

5. The method of designing a pipe-in-pipe spray two-stage fluidic chemical injector as claimed in claim 1, wherein, the corresponding configuration of the solving mode, comprises: The Realizable k-ε model was configured as a turbulence model, with standard near-wall treatment. A component transport model was used to handle liquid water and newly added pesticide components. Inlet and outlet boundary conditions were set, and the SIMPLEC solution method was selected. In spatial discretization, the Least Squares Cell Based method was used to handle the gradient, and the PRESTO algorithm was used for the pressure equation. The discretization method for momentum, turbulent kinetic energy, turbulent dissipation rate, pesticide, and energy was set to Second Order Upwind.

6. A ducted spray two-stage fluidic chemical injector design apparatus, characterized by, The device includes: The first acquisition module is used to acquire the dominant parameters of the structure parameters of the pipeline spray two-stage jet mixer and determine the range of parameter variables of the dominant parameters. The design module is used to design the dominant parameters based on the orthogonal experimental method and determine the orthogonal experimental scheme; The second acquisition module is used to acquire the three-dimensional model of the pipeline spray two-stage jet mixer corresponding to the orthogonal test scheme. The simulation module is used to perform computational fluid dynamics simulation of a two-stage jet mixer for pipeline spraying based on a three-dimensional model, and to obtain the simulation results corresponding to the orthogonal test scheme. The determination module is used to establish comprehensive evaluation indicators based on simulation results, and obtain the optimal combination of structural parameters for the pipeline spray two-stage jet mixer; The computational fluid dynamics simulation of the pipeline spray two-stage jet mixer based on a three-dimensional model yields simulation results corresponding to the orthogonal experimental scheme, including: Extract the fluid domains from the 3D model and name the inlets and outlets; Mesh the 3D model and check the mesh quality. Once the mesh quality is satisfactory, switch to solve mode. Configure the solution mode accordingly; Numerical solutions were performed on the fluid dynamics inside the two-stage jet mixer for pipeline spraying based on the configuration, and detailed simulation data of velocity field, pressure field, turbulent kinetic energy and the upward height of the drug inlet in the countercurrent flow were obtained. Based on the simulation results, a comprehensive evaluation index was established, and the optimal combination of structural parameters for the pipeline spray two-stage jet mixer was obtained, including: The turbulent kinetic energy and the reverse ascent height of the drug inlet are normalized, and weights are assigned to the turbulent kinetic energy and the reverse ascent height of the drug inlet. The normalized value is multiplied by the weight and summed to obtain the comprehensive score, which is then used as the comprehensive evaluation index. Based on comprehensive evaluation indicators, the optimal combination of structural parameters for the pipeline spray two-stage jet mixer was obtained.

7. A computer device comprising a processor and a memory for storing a processor executable program, characterized in that, When the processor executes the program stored in the memory, it implements the design method of the pipeline spray two-stage jet mixer as described in any one of claims 1-5.

8. A storage medium storing a program, characterized by comprising: When the program is executed by the processor, it implements the design method of the pipeline spray two-stage jet mixer as described in any one of claims 1-5.

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