CN115659760A - Hot melt adhesive gun analysis and structure optimization method based on Fluent - Google Patents
Hot melt adhesive gun analysis and structure optimization method based on Fluent Download PDFInfo
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- CN115659760A CN115659760A CN202211433904.4A CN202211433904A CN115659760A CN 115659760 A CN115659760 A CN 115659760A CN 202211433904 A CN202211433904 A CN 202211433904A CN 115659760 A CN115659760 A CN 115659760A
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Abstract
The invention discloses a method for analyzing and optimizing a structure of a hot melt adhesive gun based on Fluent, and relates to the field of simulation analysis of hot melt adhesive spraying technology. Firstly, obtaining basic size parameters of a special glue gun model according to a two-dimensional drawing of a special glue gun, and establishing a special glue gun finite element model by utilizing Solidworks and Ansys and simulating; secondly, a special glue gun test experiment table is built, the spraying amount and the glue dot size of the special glue gun under different conditions are tested, and experimental data are recorded. And finally, analyzing the simulated cloud picture, carrying out optimization analysis on the key size parameters of the special glue gun, comparing the analysis result with the actual glue spraying condition, and determining the parameter values suitable for production. And optimizing parameters such as the diameter of a nozzle of the glue gun, the heating temperature and the like by utilizing a multi-objective function optimization method, and selecting an optimal solution according to actual requirements. The invention provides guidance for the glue spraying process and the design and production of the glue spraying element by a method combining experiments and numerical simulation.
Description
Technical Field
The invention relates to the field of simulation analysis of hot melt adhesive spraying technology, and relates to a method for analyzing and optimizing a structure of a hot melt adhesive gun based on Fluent.
Background
The special glue gun for the hot melt glue is a glue spraying actuating mechanism of a self-adhesive type water-proof drain board production line, and can spray the hot melt glue to an appointed position in an accurate and quantitative manner. The special glue gun for the hot melt glue is a non-label mechanism, can perform spraying operation according to production requirements of different industries, and has wide application in various spraying industries. The performance of the special glue gun for hot melt glue directly determines the quality of the produced product. A plurality of scholars at home and abroad develop researches on various characteristics of the special hot melt adhesive gun by means of theoretical derivation, experiments or simulation.
Finite Element Analysis (FEA) uses mathematical approximation to simulate real physical systems (geometry and load conditions). With simple and interacting elements (i.e., cells), a finite number of unknowns can be used to approximate a real system of infinite unknowns. Finite element analysis is to solve a complex problem by replacing it with a simpler one. It considers the solution domain as consisting of a number of small interconnected subdomains called finite elements, assuming a suitable (simpler) approximate solution for each element, and then deducing the overall satisfaction conditions (e.g. structural equilibrium conditions) for solving this domain, to arrive at a solution to the problem. This solution is not an exact solution, but an approximate solution, since the actual problem is replaced by a simpler problem. Most practical problems are difficult to obtain accurate solutions, and finite elements not only have high calculation precision, but also can adapt to various complex shapes, so that the finite element becomes an effective engineering analysis means.
Based on the method, the method takes a special hot melt adhesive gun model which is actually applied in the self-adhesive water-proof and drainage plate production line as a research object, takes experimental data as a basis, utilizes a method of comprehensively acting a multiphase flow model, an energy equation model and a turbulence model on non-Newtonian fluid, reduces the actual condition of the hot melt adhesive in the injection process of the adhesive gun in a digital form, and provides a method for simulation analysis and structural optimization design of the special hot melt adhesive gun by taking numerical simulation as a research means.
Disclosure of Invention
The invention aims to provide a method for analyzing and optimizing a structure of a hot melt adhesive gun based on Fluent, which is characterized in that models are built by applying Solidworks and Ansys, custom expression Profiles are constructed, and changes of glue spraying amount and glue dot size in the glue spraying process of the special hot melt adhesive gun are researched by simulating by utilizing Fluent software.
In order to achieve the purpose, the invention provides the following scheme:
a hot melt adhesive gun analysis and structure optimization method based on Fluent comprises the following steps:
the first step is as follows: simulation analysis of special glue gun by Fluent
1.1 Obtaining basic size parameters of a special glue gun model according to a two-dimensional drawing of the special glue gun, and establishing a special glue gun finite element model by utilizing Solidworks and Ansys;
1.2 Importing the established special glue gun finite element model into Ansys, selecting and dividing the grid type by using Ansys software, setting grid division conditions and naming each region, and outputting the grid type as a mesh file;
1.3 Reading the mesh file obtained in the step 1.2) by using Fluent to perform setting before simulation analysis, detecting grids, checking whether the divided grids are correct or not, and setting grid units;
1.4 Determining a control equation according to a glue spraying stage and an intermittent stage in the working process of the special glue gun; selecting a correct multiphase flow model, an energy model and a turbulence model;
1.5 Actual physical parameters of the hot melt adhesive, air and the glue gun are set according to the working process of the special glue gun, and boundary conditions are set;
1.6 In Fluent), performing dynamic grid calculation, selecting a dynamic grid calculation module, and setting total calculation parameters and modes of the dynamic grid;
1.7 Selecting a solving method, and determining solving precision;
1.8 Initializing a boundary, setting iteration parameters, and calculating by using a Fluent solver;
1.9 View residual map, velocity, pressure and temperature maps. And preliminarily judging whether the analysis result converges or not through the residual error map.
The second step is that: experimental test is carried out on glue spraying amount and glue dot size of special glue gun for hot melt glue
2.1 Building a test bench to connect the special glue gun test loop;
2.2 According to Fluent analysis results, selecting the diameter of a nozzle during analysis, and setting parameters such as air pressure, temperature, glue spraying interval and the like. And testing the spraying amount and the glue dot size of the special glue gun under different air pressures, different nozzle diameters, different temperatures and different glue spraying intervals, and recording the obtained data.
The third step: and analyzing the simulated cloud picture and carrying out optimization analysis on the key size parameters of the special glue gun.
3.1 By analyzing the speed cloud, pressure cloud and temperature cloud of the special glue gun, observing the key position of throttling in the flow field, and analyzing the size parameters which may cause key influence on the glue spraying amount and the size of the glue dots.
3.2 According to the actual test result, determining the adjustment quantity of the simulation initial parameters, returning to the first-step optimization analysis after adjusting the initial parameters, comparing the analysis result with the actual glue spraying condition, and determining the parameter value suitable for production. And verifying the correctness of the optimization result by a mode of combining theoretical analysis with experimental analysis. And if the error of the simulation and calculation result is within +/-15% and is improved compared with the result before optimization, the optimization result is considered to be established.
The method comprises the steps of enabling a multiphase flow model, an energy equation model and a turbulence model to act on the non-Newtonian fluid together, establishing a mathematical model which is in accordance with the actual condition, simulating a hot melt adhesive spraying process, combining experiments and simulation, and verifying the correctness of a simulation result by using experimental data. The flow state of the spray flow field of the special glue gun for hot melt glue in the simulation experiment is utilized to convert the practical engineering problem into the mathematical and simulation problem, and a new idea is provided for the structural optimization of the non-Newtonian fluid spray gun.
Drawings
FIG. 1 is a flow chart of experiment, simulation analysis and optimization design;
FIG. 2 is a diagram of a hot melt adhesive fluid zone;
FIG. 3 is a diagram of region partitioning and naming;
FIG. 4 is a grid division;
FIG. 5 is a diagram of a mirror full field grid and boundary conditions;
FIG. 6 is a cloud chart of the instantaneous speed of glue spraying;
FIG. 7 is a cloud chart of the instantaneous temperature of glue spraying;
FIG. 8 is a cloud chart of the instantaneous pressure of glue spraying
FIG. 9 is a Fluent analysis residual map.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
The described embodiments of the invention are only some, but not all embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method for analyzing and optimizing the structure of a hot melt adhesive gun based on Fluent, which is characterized in that Solidworks and Ansys are used for modeling and building a custom expression Profiles, and Fluent software is used for simulation to research the changes of the glue spraying amount and the glue dot size in the glue spraying process of the special hot melt adhesive gun.
The invention provides a method for analyzing and optimizing a structure of a hot melt adhesive gun based on Fluent, which comprises the following specific steps of:
the first step is as follows: simulation analysis of special glue gun by Fluent
1.1 Basic size parameters of a special glue gun model are obtained according to a two-dimensional drawing of the special glue gun, and a special glue gun three-dimensional finite element model is established by utilizing Solidworks and Ansys, as shown in figure 2. Firstly, constructing a needle valve three-position structure diagram according to the actual state of a hot melt adhesive in a needle valve, and then extracting a three-dimensional model of the hot melt adhesive in the needle valve through a volume extraction function to construct a hot melt adhesive forming region; determining the distance between the maximum spraying distance and the target by combining with the actual working condition; constructing a cylinder by taking the target glue spraying point as a center and the radius of the target glue spraying point is 200mm, and representing an air domain; and finally, combining the hot melt adhesive domain and the air domain to form the whole simulation fluid domain.
The model is simplified aiming at the three-dimensional fluid domain, and the three-dimensional fluid domain is converted into a two-dimensional half-field model, so that the computer calculation amount is reduced, unnecessary sharp corner features are eliminated, the occurrence of singular points is reduced, and the analysis accuracy is improved.
1.2 Import the established model into Ansys, select and divide the mesh type by using Ansys software, set mesh division conditions and naming of each region, fig. 3 is a region division and naming diagram in this embodiment, the mesh division is set as CFD mode division, the cell size is set to 1mm, and the encryption mesh is set for 3 times. The top line of the model is set as a fluid Inlet, the inner and outer surfaces in the hot melt adhesive domain are set as Wall walls Wall1, the bottom edge of the air domain is set as Wall2, and a fluid Outlet is set in the air domain, and fig. 4 is a grid division diagram of the embodiment.
1.3 Reading the mesh file obtained in the step 1.2) by using Fluent to perform setting before simulation analysis, detecting grids, checking whether the divided grids are correct or not, and setting grid units. And detecting whether the grid is negative, if the grid is negative, dividing the grid to cause problems, setting the grid unit as mm, setting a solver as transient analysis, and setting the gravity vector as-9.81 in the Y direction.
1.4 Determining a control equation according to a glue spraying stage and an intermittent stage in the working process of the special glue gun; and selecting a correct multiphase flow model, an energy model and a turbulence model. The multiphase flow model is a Mixture model, the phase flow number is set to be 2, the hot melt adhesive is set as a main phase, and air is set as a second phase. The energy model switch is open. An SST k-omega model is selected as a turbulence model.
1.5 Actual physical parameters of the hot melt adhesive, air and adhesive gun are set according to the working process of the special adhesive gun, and boundary conditions are set, and fig. 5 is a mirror image full-field grid and boundary condition diagram of the embodiment. Physical parameters of the material are defined, the hot melt adhesive material is named as Glue, and the fluid density, the dynamic viscosity, the thermal conductivity and the reference temperature are set according to the actual oil parameters of engineering. And selecting boundary conditions, setting the named inlet as a mass flow inlet, setting the named outlet as a pressure outlet, and setting the wall surface and the symmetrical surface according to defaults.
The inlet pressure is one of key parameters, according to the actual hot melt adhesive injection flow, the variable inlet pressure value is used for simulating the dynamic opening and closing effect of the valve core, and the inlet pressure expression is defined as follows:
Vel=IF(t<=0.1[s],0[m/s],IF(t<=0.2[s],5[m/s],0[m/s]))
the above parameter Vel is the inlet fluid velocity value, t is the time. And when the time t is less than or equal to 0.1s, spraying the glue, when the time t is between 0.1s and 0.2s, spraying the glue, and when the time t exceeds 0.2s, not spraying the glue. So as to simulate the opening and closing moment of the glue spraying valve.
The hot melt adhesive viscosity is one of key parameters, and a hot melt adhesive pipeline viscosity expression is established according to the characteristics of different viscosities of the hot melt adhesive under different temperature states. The 6-point temperature is set to correspond to the measured viscosity value. As shown in the figure.
1.6 In Fluent), a fluid region above the nozzles is selected and set as a value region, and the air ratio in this region is 0% in the initial state. Selecting a fluid area below the nozzle, and setting the fluid area as an air area, wherein the air ratio of the area in the initial state is 100%;
1.7 Selecting a solving method, and determining solving precision; the calculation method is selected as a simple algorithm, and the method selects the Least Square Cell Based in gradient. The solution control sets pressure 0.3, density 1, volume 1, momentum 0.7, and the rest defaults;
1.8 Initializing a boundary, setting iteration parameters, and calculating by using a Fluent solver; initializing a setting standard, wherein local initialization is used for initializing the temperature 480K and the air volume 0 of the glue area in the step 1.6), and is used for initializing the temperature 298K and the air volume 1 of the air area;
1.9 View residual map, velocity, pressure and temperature maps. And preliminarily judging whether the analysis result converges or not through the residual error map. The residual map in this embodiment is shown in fig. 9.
The second step is that: experimental test is carried out on glue spraying amount and glue dot size of special glue gun for hot melt glue
2.1 Building a test bench to connect the special glue gun test loop; connecting the glue supply system with a glue gun, and placing a target workpiece below the glue gun;
2.2 According to Fluent analysis results, selecting the diameter of a nozzle during analysis, and setting parameters such as air pressure, temperature, glue spraying interval and the like. Testing the spraying comparison amount and the glue dot size of the special glue gun under different air pressures, different nozzle diameters, different temperatures and different glue spraying intervals, and recording the obtained data;
the air pressure of the glue supply machine is initially adjusted to be 0.4MPa, the height of the nozzle from a target object is 50mm, and the diameters of the nozzle are respectively 0.5mm,0.8mm and 1mm. The hot melt adhesive heating temperature was set at 200 deg.C, which is approximately 480K in kelvin. The hot melt adhesive was heated for 20 minutes before the start of the test to ensure that the hot melt adhesive was completely fluidized at this temperature.
The third step: analyzing the simulated cloud picture and optimizing and analyzing the key size parameters of the special glue gun
3.1 By analyzing the speed cloud chart, the pressure cloud chart and the temperature cloud chart of the special glue gun, observing the key position of throttling in the flow field, and analyzing the size parameters which may cause key influences on the glue spraying amount and the size of glue dots, wherein the speed cloud chart, the temperature cloud chart and the pressure cloud chart are shown in fig. 6-8;
and optimizing the diameter and the heating temperature of the special glue gun nozzle by analyzing the position and the numerical value of the maximum and minimum key value points in each cloud picture and utilizing a multi-objective function optimization method. The optimization function is as follows:
s. t. 
in the above-mentioned formula, the compound of formula,
is a vector objective function;
the method adopts the shorthand of a vector form for a multi-target minimization mathematical model;
for vector minimisation, i.e. vector objective function
To the effect that each objective function is equally minimized; s, t.
And
to design variables
All constraints that should be satisfied;
3.2 According to the actual test result, determining the adjustment quantity of the simulation initial parameters, returning to the first-step optimization analysis after adjusting the initial parameters, comparing the analysis result with the actual glue spraying condition, and determining the parameter value suitable for production. And verifying the correctness of the optimization result by combining theoretical analysis with experimental analysis. And if the error of the simulation and calculation result is within +/-15% and is improved compared with the result before optimization, the optimization result is considered to be established.
The above-mentioned embodiments only represent the embodiments of the present invention, but they should not be understood as the limitation of the scope of the present invention, and it should be noted that those skilled in the art can make several variations and modifications without departing from the spirit of the present invention, and these all fall into the protection scope of the present invention.
Claims (7)
1. A hot melt adhesive gun analysis and structure optimization method based on Fluent is characterized by comprising the following steps:
the first step is as follows: simulation analysis of special glue gun by Fluent
1.1 Obtaining basic size parameters of a special glue gun model according to a two-dimensional drawing of the special glue gun, and establishing a special glue gun finite element model by utilizing Solidworks and Ansys;
1.2 Importing the established special glue gun finite element model into Ansys, utilizing the Ansys to select and divide the grid type, setting grid division conditions and naming each region, and outputting the grid type as a mesh file;
1.3 Reading the mesh file obtained in the step 1.2) by using Fluent to perform setting before simulation analysis, detecting grids, checking whether the divided grids are correct or not, and setting grid units;
1.4 Determining a control equation according to a glue spraying stage and an intermittent stage in the working process of the special glue gun; selecting a correct multiphase flow model, an energy model and a turbulence model, acting multiple ways on the hot melt adhesive fluid, and simulating an actual injection process;
1.5 According to the working process of the special glue gun, setting the actual physical parameters of the hot melt glue, air and the glue gun, and setting boundary conditions;
1.6 In Fluent), the grid is marked, a fluid area above the nozzles is selected and set as a glue area, and the air proportion of the area in the initial state is 0%; selecting a fluid area below the nozzle, and setting the fluid area as an air area, wherein the air ratio of the area in the initial state is 100%;
1.7 Selecting a solving method, and determining solving precision;
1.8 Initializing a boundary, setting iteration parameters, and calculating by using a Fluent solver;
1.9 Checking a residual error map, a speed, pressure and temperature map, and preliminarily judging whether an analysis result is converged or not through the residual error map;
the second step is that: experimental test is carried out on glue spraying amount and glue dot size of special glue gun for hot melt glue
2.1 Building a test bench to connect the special glue gun test loop;
2.2 According to Fluent analysis results, selecting the diameter of a nozzle during analysis, and setting parameters such as air pressure, temperature, glue spraying interval and the like; testing the spraying amount and the glue dot size of the special glue gun under different air pressures, different nozzle diameters, different temperatures and different glue spraying intervals, and recording the obtained data;
the third step: analyzing the simulated cloud picture and carrying out optimization analysis on key size parameters of the special glue gun;
3.1 By analyzing the speed cloud chart, the pressure cloud chart and the temperature cloud chart of the special glue gun, observing the key position of the throttling in the flow field, and analyzing the size parameters which can cause key influence on the glue spraying amount and the size of the glue dots;
optimizing the diameter of a nozzle of a special glue gun and the heating temperature parameters by analyzing the position and the numerical value of the maximum and minimum key value points in each cloud picture and utilizing a multi-objective function optimization method; the optimization function is as follows:
s. t. 
in the above-mentioned formula, the compound of formula,
is a vector objective function;
the method adopts the shorthand of a vector form for a multi-target minimization mathematical model;
for vector minimisation, i.e. vector objective function
To the effect that each objective function is equally minimized; s, t.
And
to design variables
All constraints that should be satisfied;
3.2 Determining the adjustment amount of simulation initial parameters according to the actual test result, returning to the first-step optimization analysis after adjusting the initial parameters, comparing the analysis result with the actual glue spraying condition, and determining a proper parameter value; verifying the correctness of the optimization result by combining theoretical analysis and experimental analysis; and if the error of the simulation and calculation result is within +/-15% and is improved compared with the result before optimization, the optimization result is considered to be established.
2. The Fluent-based hot melt adhesive gun analysis and structural optimization method, according to claim 1, characterized in that
The mathematical model in the step 1.4) comprises a multiphase flow model, an energy model and a k-e turbulence model.
3. The Fluent-based hot melt adhesive gun analysis and structural optimization method, according to claim 1, wherein the physical parameters in step 1.5) include fluid density, kinematic viscosity, specific heat, thermal conductivity, reference temperature; the boundary conditions include inlet flow, outlet pressure, wall conditions, and initial volume fraction.
4. The method for analyzing and structurally optimizing a hot melt adhesive gun based on Fluent is characterized in that in the step 3.1), the speed cloud chart comprises flow rate parameters of hot melt adhesive sprayed by the special adhesive gun and ambient air in the spraying process, and the flow rate parameters are used for displaying the difference of the glue spraying flow rates of the special adhesive gun and judging the distribution results of a turbulent area and a dead area.
5. The method for analyzing and structurally optimizing a hot melt adhesive gun based on Fluent is characterized in that the pressure cloud chart in the step 3.1) comprises stress parameters of each position of the special adhesive gun, and the stress parameters are used for displaying the pressure difference in a flow channel of the special adhesive gun, judging the distribution results of a turbulent flow area and a dead area and judging the loss result of the hot melt adhesive.
6. The method for analyzing and structurally optimizing a hot melt adhesive gun based on Fluent is characterized in that in the step 3.1), the temperature cloud chart comprises the temperature field changes of the hot melt adhesive sprayed out by the special adhesive gun and the ambient air in the spraying process, and is used for displaying the temperature difference of the hot melt adhesive in the spraying process and judging the hot melt adhesive point distribution result.
7. The Fluent-based hot melt adhesive gun analysis and construction optimization method according to claim 1, wherein the dimensional parameters in step 3.1) mainly include nozzle bore diameter, nozzle cross-sectional dimensions, and nozzle-to-target distance dimensions.
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| CN116415449A (en) * | 2023-06-12 | 2023-07-11 | 天津渤化工程有限公司 | Maleic anhydride reactor design method, maleic anhydride reactor design system and information data processing terminal |
| CN116415449B (en) * | 2023-06-12 | 2023-08-22 | 天津渤化工程有限公司 | Maleic anhydride reactor design method, maleic anhydride reactor design system and information data processing terminal |
| CN116976162A (en) * | 2023-06-16 | 2023-10-31 | 武汉光谷蓝焰新能源股份有限公司 | Denitration design simulation method based on biomass boiler finite element analysis |
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