Digital analysis method and system for flow field in coating dry type spraying room, electronic equipment and storage medium
Through the digital analysis method of the flow field in the painted dry spray room, CFD software is used to simulate and optimize the equipment structure, the problem of not being able to predict the internal flow field in advance is solved, and early prediction and optimization is achieved, shortening the development cycle, reducing costs and improving products performance.
Patent Information
- Application Number
- CN202411189295.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-28
- Publication Date
- 2025-01-03
AI Technical Summary
In the prior art, it is impossible to predict the fluid state of the internal flow field of the painted dry spray room in advance, resulting in a long development process time, high cost, many design defects, and difficulty in modifying, which affects the efficiency of new product development.
A digital analysis method for flow field in a painted dry spray room is designed, including input design parameters, defining simulation environment, dividing calculation units, setting data acquisition points, iterative calculation and exporting data and charts, and numerical use of CFD software Simulation, optimize the equipment structure to predict flow field state.
Through digital analysis methods, internal flow field state can be predicted and optimized in the early stages of new product development, shortening development cycles, reducing costs, improving R&D efficiency, and improving product performance.
Smart Images

Figure CN119249547A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of CFD fluid simulation, and in particular to a method, system, electronic equipment and storage medium for digital analysis of flow fields in a dry spray booth under a simulated fluid motion environment. Background Art
[0002] The coating dry spray room is one of the commonly used equipment in the coating industry. At present, the development of new products of coating dry spray rooms generally needs to go through four stages: background adjustment, theoretical solution deliberation, manufacturing drawing determination, and pilot line trial production before the product can be launched on the market. This development process has the following problems:
[0003] 1. The entire development process takes a long time, which affects the development efficiency of new products;
[0004] 2. Failure to test the fluid state of the product's internal flow field in advance through effective means may result in design defects being discovered only during the trial production stage, increasing development costs;
[0005] 3. The process of theoretical proposal development lacks intuitive data support, and there may be subjective judgment bias;
[0006] 4. If the manufacturing drawings need to be modified after they are finalized, it will cause a large waste of time and resources.
[0007] Therefore, there is an urgent need for a digital analysis method that can predict the fluid state of the flow field inside the dry spray booth in advance, so as to optimize the new product development process, improve development efficiency and reduce development costs. Summary of the invention
[0008] The purpose of the present invention is to provide a method, system, electronic device and storage medium for digital analysis of the flow field in a dry spray booth for painting, so as to solve the technical problem in the prior art that the fluid state of the flow field inside the dry spray booth for painting cannot be predicted in advance.
[0009] To achieve the above-mentioned object, in a first aspect, the digital analysis method of flow field in a dry spray booth designed by the present invention comprises the following steps:
[0010] S1, input the design parameters of the dry spray booth;
[0011] S2, define the simulation environment and related conditions;
[0012] S3, dividing the device model into several computing units;
[0013] S4, implantation data acquisition point or plane;
[0014] S5, performs iterative calculations and exports data and charts;
[0015] S6, proposes structural optimization suggestions based on the exported data and charts.
[0016] Preferably, step S2 comprises:
[0017] Determine the geometric model of the dry spray booth for painting;
[0018] Set the physical properties of the fluid;
[0019] Define boundary conditions and initial conditions.
[0020] Preferably, step S3 comprises:
[0021] The computing units are divided into different levels, sizes and locations according to the internal structural characteristics of the equipment;
[0022] Computational fluid dynamics software was used for meshing.
[0023] Preferably, step S4 comprises:
[0024] Setting data monitoring points or monitoring planes in computational fluid dynamics software;
[0025] Determine the location and number of monitoring points or monitoring planes.
[0026] Preferably, in step S5, the iterative calculation step includes:
[0027] Use computational fluid dynamics software to perform numerical simulations;
[0028] The simulation parameters are adjusted according to the calculation results, and multiple iterations are performed to optimize the calculation accuracy.
[0029] Preferably, in step S5, the derived data include but are not limited to the pressure value of each part and the flow velocity of each cross section.
[0030] Preferably, step S6 specifically includes:
[0031] According to the planar equipment internal pressure and flow rate area division diagram, optimization suggestions are put forward for areas where the pressure values of various parts of the equipment are too large or too small;
[0032] According to the dynamic diagram of multi-point flow paths in the internal flow field of the equipment, optimization suggestions are put forward for the parts with abnormal flow velocity values in each section and the parts with spiral flow paths inside the equipment.
[0033] In the second aspect, the digital analysis system for flow field in a dry spray booth designed by the present invention comprises:
[0034] An input module, used to input equipment design parameters;
[0035] The simulation module is used to define the simulation environment and related conditions;
[0036] The unit division module is used to divide the calculation units according to the internal structural characteristics of the equipment and perform mesh division using CFD software;
[0037] Data monitoring module, used to set data monitoring points or monitoring planes in CFD software and determine their locations and quantities;
[0038] Iterative calculation module, used to perform numerical simulation calculations using CFD software, adjust simulation parameters according to calculation results, and perform multiple iterations to optimize calculation accuracy;
[0039] Data analysis module, used to analyze simulation operation data, including pressure value, flow rate, etc.;
[0040] The optimization design module is used to make optimization suggestions for equipment structure based on data analysis results.
[0041] In a third aspect, the present invention provides an electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; the memory is used to store computer programs; and the processor is used to implement any of the methods described in the first aspect when executing the programs stored in the memory.
[0042] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, any method described in the first aspect is implemented.
[0043] The beneficial effects of the present invention are as follows: the present invention can timely predict and optimize the internal flow field state of the product in the early stage of new product development of the coating dry spray room, shorten the development cycle, simplify the scheme design process, save the trial production cost, and improve the research and development efficiency of new products.
[0044] 1. Shorten the development cycle: Through digital analysis methods, the internal flow field of the product can be simulated and analyzed before actual manufacturing, reducing the number of physical trials and greatly shortening the development cycle.
[0045] 2. Reduce development costs: Reduce the number of physical trials and tests, saving material costs and labor costs.
[0046] 3. Improve optimization efficiency: Visually display the internal flow field status of the product, so that designers can quickly identify problems and perform targeted optimization.
[0047] 4. Improve product performance: Design optimization based on accurate flow field analysis results can better ensure that the actual performance of the product meets expectations. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] In order to more clearly illustrate the technical solutions of the embodiments disclosed in the present invention, the drawings of the embodiments will be briefly introduced below. These drawings are only used for illustrative purposes and are not intended to limit the protection scope of the present invention.
[0049] Figure 1 A flowchart of steps provided for an embodiment of the present invention;
[0050] Figure 2 A schematic diagram of the structure provided by an embodiment of the present invention;
[0051] Figure 3 The actual manufacturing model of the device provided by the embodiment of the present invention
[0052] Figure 4 A diagram showing the division of the overall internal pressure regions of a planarization device provided by an embodiment of the present invention;
[0053] Figure 5 A diagram showing the division of local internal pressure regions of a planarization device provided by an embodiment of the present invention;
[0054] Figure 6 A diagram showing the overall internal pressure and flow rate area division of a planarization device provided by an embodiment of the present invention;
[0055] Figure 7 A dynamic diagram of multiple single-point flow paths in the overall internal flow field of the device provided in an embodiment of the present invention;
[0056] Figure 8 Export data and chart styles provided for embodiments of the present invention;
[0057] Fig. 9 The simulation configuration parameter implantation data 1 provided in the embodiment of the present invention;
[0058] Fig.10 The simulation configuration parameter implantation data 2 provided in the embodiment of the present invention;
[0059] Fig.11 It is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0060] The technical solution of the present invention (including the preferred technical solution) is further described in detail below by means of the accompanying drawings and by listing some optional embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0061] Example 1
[0062] The digital analysis method of the flow field in the coating dry spray room designed by the present invention comprises the following steps:
[0063] Step 1: Input the design parameters of the dry spray booth. Figure 3 A, B, and C shown are all imported design parameter points.
[0064] Step 2: Define the simulation environment and related conditions, including: determining the geometric model of the dry spray booth; setting the physical properties of the fluid, such as density, viscosity, etc.; defining boundary conditions and initial conditions, such as inlet velocity, outlet pressure, etc. Fig. 9 Shown is some simulation configuration parameter implantation data.
[0065] Step 3: Divide the equipment model into several calculation units, including: dividing the calculation units into different levels, sizes and positions according to the internal structural characteristics of the equipment; using computational fluid dynamics (CFD) software to perform meshing to ensure the accuracy and efficiency of the calculation.
[0066] The classification, size and location of computing units can be optimized according to the internal structural characteristics of the equipment, such as Figure 5 As shown, the internal contact points of the equipment and each flow inflection point can increase the order of calculation units and the number of calculation units, so as to obtain more accurate calculation results.
[0067] Step 4: Implant data acquisition points or planes. Set data monitoring points or monitoring planes in the CFD software and determine their locations and quantities. These monitoring points or planes are used to collect key data during the simulation process, such as pressure, flow rate, etc. This makes it easier to extract simulation data later.
[0068] Step 5: Perform iterative calculations and export data and charts.
[0069] Use CFD software to perform numerical simulation calculations; adjust simulation parameters according to the calculation results, perform multiple iterations to optimize the calculation accuracy, and obtain internal pressure and flow field distribution data. After the iterative calculation is completed, the system will export data and charts, including but not limited to pressure values at each part, flow velocity at each section, etc.
[0070] like Figure 4 The figure shows the plane diagram of the internal pressure area of the equipment, which reflects the internal pressure value of the equipment. Combining the static pressure data ladder diagram with the calculation cell, the pressure value of each point of the equipment can be clearly understood. Figure 6 The figure shows the internal pressure and velocity zone division plan of the equipment, which can simultaneously display the velocity and static pressure data of key areas inside the equipment. Figure 8 The data and chart styles exported from the simulation run are shown. Data from any part of the equipment can be extracted, including but not limited to volume flow, average velocity, average static pressure, total volume flow, etc.
[0071] Step 6: Propose structural optimization suggestions based on the exported data and charts.
[0072] According to the planar equipment internal pressure and flow rate area division diagram, optimization suggestions are put forward for areas where the pressure values of various parts of the equipment are too large or too small;
[0073] According to the dynamic diagram of multi-point flow paths in the internal flow field of the equipment, optimization suggestions are put forward for the parts with abnormal flow velocity values in each section and the parts with spiral flow paths inside the equipment.
[0074] like Figure 7 The figure shows a dynamic diagram of the multi-point flow path in the internal flow field of the equipment, which can be used to analyze the internal flow field state of the equipment. The optimal state of the fluid is laminar flow. If there is turbulence or eddy current, it means that the area needs further optimization design. Combined with the flow velocity ladder diagram, the flow velocity of each single-point flow path in each area inside the equipment can be intuitively seen. This data can be compared with the original design parameters. Too fast or too slow flow rate indicates that the original design parameters are unreasonable and need to be optimized. Through the analysis of the above-mentioned pressure area diagram, flow path dynamic diagram, and simulation operation data, reasonable structural optimization design solutions can be proposed for parts where the pressure values of various parts of the equipment are too large or too small, the flow velocity values of each cross section are large or too small, and there are spiral flow paths.
[0075] Example 2
[0076] The digital analysis system for flow field in a dry spray booth of the present invention comprises the following modules:
[0077] The input module is used to input equipment design parameters and provide basic data for simulation analysis.
[0078] The simulation module is used to define the simulation environment and related conditions to ensure the accuracy and applicability of the simulation environment.
[0079] The unit division module divides the calculation units according to the internal structural characteristics of the equipment, and uses CFD software to perform grid division to provide a calculation basis for numerical simulation.
[0080] Data monitoring module sets data monitoring points or monitoring planes in CFD software and determines their locations and quantities to collect key data.
[0081] The iterative calculation module uses CFD software to perform numerical simulation calculations, adjusts simulation parameters according to the calculation results, and performs multiple iterations to optimize the calculation accuracy.
[0082] The data analysis module analyzes the simulation operation data, including pressure value, flow rate, etc., to provide data support for structural optimization.
[0083] The optimization design module proposes optimization suggestions for equipment structure based on data analysis results to improve the performance and efficiency of the dry spray booth.
[0084] Example 3
[0085] From the perspective of production and specific application, the digital analysis system for the flow field in a dry spray room designed by the present invention includes a planar equipment internal pressure and flow velocity area division diagram module, a dynamic equipment internal flow field display module, a data analysis module, and a structural design optimization module.
[0086] The module of planar equipment internal pressure and flow rate area division has the following two functions:
[0087] 1) Display the area division diagram after the calculation unit division, equipment internal pressure and flow rate value simulation calculation, such as Figure 4 The figure shows the pressure zone division diagram inside the whole equipment. Figure 5 The figure shows the pressure zone division diagram inside the equipment. Figure 6 The pressure and velocity zone divisions are also shown;
[0088] 2) Provide guidance on the classification, size and location of the calculation units according to the internal structural characteristics of the equipment. For areas with contact points and flow inflection points inside the equipment, the number of calculation units can be increased to obtain more accurate calculation results.
[0089] The dynamic internal flow field display module of the equipment can form multiple single-point flow path dynamic diagrams of the internal flow field of the equipment according to the input calculation conditions and combined with the CFD simulation environment, such as Figure 7 As shown. Based on this dynamic diagram, the flow field state inside the equipment can be analyzed. When turbulence or eddy current exists, it means that the area needs further optimization design. At the same time, this module can also intuitively display the flow velocity of each single point in each area inside the equipment in combination with the flow velocity ladder diagram. By comparing with the original design parameters, it can be determined whether the flow velocity is too fast or too slow, so as to optimize the design parameters.
[0090] The data analysis module can export the internal flow field simulation operation data of the equipment, such as Figure 8 The following are the exported data and chart styles, including but not limited to the pressure value of each part, the flow velocity of each section, the volume flow rate, the average velocity, the average static pressure, the total volume flow rate, etc. The functional deviation of the equipment can be judged by combining these data processing results to verify the rationality of the original design parameters.
[0091] The structural design optimization module can combine the planar equipment internal pressure area division diagram, the dynamic equipment internal flow field display module's flow path dynamic diagram and the data analysis results of the data analysis module to make reasonable optimization design plans for parts of the equipment where the pressure values are too large or too small, the flow velocity values of each cross section are too large or too small, and the parts where there are spiral flow paths inside the equipment.
[0092] The system also includes:
[0093] A calculation unit division module is used to divide the internal structure of the coating dry spray room into grids and generate calculation units;
[0094] CFD simulation module, used to perform numerical calculation simulation on the divided calculation units to obtain the pressure and flow field distribution data inside the dry spray booth;
[0095] Data processing module, used to extract and process the pressure and flow field data output by the CFD simulation module;
[0096] Display module, used for visually displaying pressure area division diagram, flow path dynamic diagram and data analysis results;
[0097] The structural optimization module is used to propose an optimized design scheme for the dry spray booth structure based on the pressure area division diagram, flow path dynamic diagram and data analysis results.
[0098] In some optional embodiments of the present invention, the system may further include an equipment model import module for importing the original painting dry spray room structure model and design parameters.
[0099] Example 4
[0100] The present invention provides an electronic device, comprising a processor 1, a communication interface 2, a memory 3 and a communication bus 4, wherein the processor 1, the communication interface 2, and the memory 3 communicate with each other through the communication bus 4; the memory 4 is used to store computer programs; the processor 1 is used to implement the digital analysis method of the flow field in the coating dry spray room described in Example 1 when executing the program stored in the memory 8.
[0101] The processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
[0102] The memory may include a random access memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-Volatile Memory, NVM), such as at least one disk memory.
[0103] The memory may be a volatile memory, such as a random-access memory (RAM); the memory may also be a non-volatile memory, such as a read-only memory, a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), or the memory is any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be a combination of the above memories.
[0104] Example 5
[0105] The present invention provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, the method for digitally analyzing the flow field in a dry spray booth for painting as described in Example 1 is implemented.
[0106] The present invention can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk SolidState Disk (SSD)), etc.
[0107] Those skilled in the art will readily appreciate that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, combinations, replacements, improvements, etc. made within the spirit and principles of the present invention are included within the protection scope of the present invention.
Claims
1. A method for digital analysis of flow field in a dry spray booth, characterized in that: The following steps are involved: S1, input the design parameters of the dry spray booth; S2, define the simulation environment and related conditions; S3, dividing the device model into several computing units; S4, implantation data acquisition point or plane; S5, performs iterative calculations and exports data and charts; S6, proposes structural optimization suggestions based on the exported data and charts.
2. The method for digital analysis of flow field in a dry spray booth according to claim 1, characterized in that: Step S2 includes: Determine the geometric model of the dry spray booth for painting; Set the physical properties of the fluid; Define boundary conditions and initial conditions.
3. The method for digital analysis of flow field in a dry spray booth according to claim 1, characterized in that: Step S3 includes: The computing units are divided into different levels, sizes and locations according to the internal structural characteristics of the equipment; Computational fluid dynamics software was used for meshing.
4. The method for digital analysis of flow field in a dry spray booth according to claim 1, characterized in that: Step S4 includes: Setting data monitoring points or monitoring planes in computational fluid dynamics software; Determine the location and number of monitoring points or monitoring planes.
5. The method for digital analysis of flow field in a dry spray booth according to claim 1, characterized in that: In step S5, the iterative calculation step includes: Use computational fluid dynamics software to perform numerical simulations; The simulation parameters are adjusted according to the calculation results, and multiple iterations are performed to optimize the calculation accuracy.
6. The method for digital analysis of flow field in a dry spray booth according to claim 1 or 5, characterized in that: In step S5, the derived data include but are not limited to the pressure value of each part and the flow velocity of each cross section.
7. The method for digital analysis of flow field in a dry spray booth according to claim 1, characterized in that: Step S6 specifically includes: According to the planar equipment internal pressure and flow rate area division diagram, optimization suggestions are put forward for areas where the pressure values of various parts of the equipment are too large or too small; According to the dynamic diagram of multi-point flow paths in the internal flow field of the equipment, optimization suggestions are put forward for the parts with abnormal flow velocity values in each section and the parts with spiral flow paths inside the equipment.
8. A digital analysis system for flow field in a dry spray booth, comprising: An input module, used to input equipment design parameters; The simulation module is used to define the simulation environment and related conditions; The unit division module is used to divide the calculation units according to the internal structural characteristics of the equipment and perform mesh division using CFD software; Data monitoring module, used to set data monitoring points or monitoring planes in CFD software and determine their locations and quantities; Iterative calculation module, used to perform numerical simulation calculations using CFD software, adjust simulation parameters according to calculation results, and perform multiple iterations to optimize calculation accuracy; Data analysis module, used to analyze simulation operation data, including pressure value, flow rate, etc.; The optimization design module is used to make optimization suggestions for equipment structure based on data analysis results.
9. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein: The processor, the communication interface, and the memory communicate with each other via a communication bus; the memory is used to store computer programs; the processor is used to implement the digital analysis method of the flow field in a dry spray room for painting as described in any one of claims 1 to 7 when executing the program stored in the memory.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for digitally analyzing the flow field in a dry spray booth for painting according to any one of claims 1 to 7 is implemented.
