Method and device for determining injection molding process parameters of connector busbar

Abstract

The invention provides a method and a device for determining injection molding process parameters of a connector busbar. The determination method comprises the following steps: acquiring target structure parameters and physical performance parameters of the connector busbar; determining a three-dimensional model of the connector busbar according to the target structure parameters and the physical performance parameters; acquiring injection molding process parameters of an injection molding model of the connector busbar matched with the three-dimensional model; according to the injection molding process parameters and the physical performance parameters, a plurality of quality indexes corresponding to the multiple sets of injection molding process parameters of the injection molding model are obtained; and determining a target group of injection molding process parameters of the injection molding model according to the plurality of quality indexes. According to the embodiment of the invention, the optimal injection molding process parameter combination can be determined, so that the injection molding production process is more stable, the product quality fluctuation is reduced, and the product percent of pass is improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of injection molding of a connector bus, and in particular to a method and device for determining injection molding process parameters of a connector bus. Background Art

[0002] In the injection molding production of connector buses, the injection molding process parameters and performance play a decisive role in product quality. Due to the large number of injection molding process parameters, defects such as insufficient filling, air entrapment, and flow marks are prone to occur. Insufficient filling will cause partial material shortages in the product, affecting the integrity and function of the product; air entrapment will not only form bubbles inside the product, reducing the product strength, but may also cause problems such as burning; flow marks will affect the appearance quality of the product, and cannot meet the needs in some application scenarios with strict requirements on appearance. Summary of the invention

[0003] The technical problem to be solved by the embodiments of the present invention is to provide a method and device for determining the injection molding process parameters of a connector bus, which can determine the optimal combination of injection molding process parameters, make the injection molding production process more stable, reduce product quality fluctuations, and improve product qualification rate.

[0004] To solve the above technical problems, the technical solutions of the embodiments of the present invention are as follows:

[0005] A method for determining injection molding process parameters of a connector bus bar, comprising:

[0006] Obtain target structural parameters and physical performance parameters of the connector bus;

[0007] Determining a three-dimensional model of the connector bus according to the target structural parameters and physical performance parameters;

[0008] Acquire injection molding process parameters of an injection molding model of the connector busbar that matches the three-dimensional model;

[0009] According to the injection molding process parameters and physical performance parameters, a plurality of quality indicators corresponding to the plurality of groups of injection molding process parameters of the injection molding model are obtained;

[0010] According to the multiple quality indicators, a target set of injection molding process parameters of the injection molding model is determined.

[0011] Optionally, obtaining target structural parameters of the connector bus includes:

[0012] Capture the geometry, dimensional accuracy, and wall thickness distribution of connector busbars.

[0013] Optionally, the obtaining of injection molding process parameters of an injection molding model of the connector busbar that matches the three-dimensional model includes:

[0014] At least one injection molding process parameter of the injection molding model of the connector busbar matching the three-dimensional model is obtained, including injection pressure, injection speed, melt temperature, mold temperature, holding pressure, holding time, and cooling time.

[0015] Optionally, according to the injection molding process parameters and physical performance parameters, a plurality of quality indicators corresponding to a plurality of groups of injection molding process parameters of the injection molding model are obtained, including:

[0016] According to the injection molding process parameters and physical performance parameters, a mold flow analysis is performed on the three-dimensional model to obtain cavitation diagrams, filling diagrams and shrinkage mark schematic diagrams corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0017] According to the cavitation map, a first quality index corresponding to multiple groups of injection molding process parameters of the injection molding model is determined, wherein the first quality index is the total volume A of the trapped gas area. i ;

[0018] According to the filling map, a second quality index corresponding to multiple groups of injection molding process parameters of the injection molding model is determined, and the second quality index is the total area V of the insufficient filling area. i ;

[0019] According to the sink mark schematic diagram, the third quality index corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined, and the third quality index is the total length L of the flow mark i ; Wherein, i=1, 2, ...N, N is the number of groups of injection molding process parameters of the injection molding model.

[0020] Optionally, according to the cavitation map, the total volume A of the trapped gas region corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0021] According to A i = Determine the total volume of the trapped air region corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0022] Among them, A i is the total volume of the trapped air region, k=1, 2, ...n, n is the total number of cavitation regions, is the volume of each cavitation area.

[0023] Optionally, according to the filling map, the total area V of the insufficient filling region corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0024] According to V i = Determine the total area of ​​the underfilled region corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0025] Among them, V i is the total area of ​​the underfilled region, h=1, 2, ...e, e is the total number of underfilled regions, is the volume of each underfilled area.

[0026] Optionally, according to the sink mark schematic diagram, the total flow mark length L corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0027] According to L i = Determine the total length L of the flow mark corresponding to multiple sets of injection molding process parameters of the injection molding model i ;

[0028] Among them, L i is the total length of the flow mark, l=1, 2, ...t, t is the total number of flow marks, is the linear length of each flow mark.

[0029] Optionally, determining a target set of injection molding process parameters of the injection molding model according to the multiple quality indicators includes:

[0030] The total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer;

[0031] Generate new offspring individuals to form a offspring population through crossover according to the parent population;

[0032] Obtaining a final new population through mutation operation according to the offspring population;

[0033] It is determined whether the number of iterations reaches the preset value. If not, the selection, crossover, mutation, fitness calculation and termination condition judgment steps are repeated with the new population as the current population. If it is reached, a set of injection molding process parameters corresponding to the individual with the best fitness in the current population is determined as the target set of injection molding process parameters for the injection molding model.

[0034] Optionally, the total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model is i , Total area of ​​insufficient filling area V i and the total length of the flow mark Li , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer, including:

[0035] According to F i =aA i +bV i +cL i Determine the fitness function of multiple groups of injection molding process parameters; where F i is the fitness value of each injection molding process parameter combination, a, b, c are weight coefficients, and a+b+c=1;

[0036] According to S= Determine the sum of fitness values ​​of each injection molding process parameter combination; wherein S is the sum of fitness values ​​of each injection molding process parameter combination, i=1, 2, ...N, and N is the number of combinations of injection molding process parameter combinations;

[0037] According to p i = Determine the selection probability of each injection molding process parameter combination, where p i is the selection probability of each injection molding process parameter combination, F i is the fitness value of each injection molding process parameter combination, and S is the sum of the fitness values ​​of each injection molding process parameter combination;

[0038] According to q i = Determine the cumulative probability of each injection molding process parameter combination, where q i is the cumulative probability of each injection molding process parameter combination, p i is the selection probability of each injection molding process parameter combination, j=1, 2, ...i, i is the index identification of each injection molding process parameter combination;

[0039] Generate a random number r between [0,1], if q i-1 r q i , then select the i-th injection molding process parameter combination;

[0040] Repeat the above selection process until a set number of injection molding process parameter combinations are selected as parent individuals to form a parent population.

[0041] The set quantity is W, and W is a positive integer.

[0042] An embodiment of the present invention further provides a device for determining injection molding process parameters of a connector bus, comprising:

[0043] An acquisition module, used to acquire target structural parameters and physical performance parameters of the connector bus and injection molding process parameters of an injection molding model of the connector bus that matches the three-dimensional model;

[0044] A processing module is used to determine the three-dimensional model of the connector bus according to the target structural parameters and physical performance parameters; obtain multiple quality indicators corresponding to multiple groups of injection molding process parameters of the injection molding model according to the injection molding process parameters and physical performance parameters; and determine the target group of injection molding process parameters of the injection molding model according to the multiple quality indicators.

[0045] The above solution of the embodiment of the present invention includes at least the following beneficial effects:

[0046] The above-mentioned scheme of the embodiment of the present invention can accurately determine the three-dimensional model and injection molding process parameters by obtaining the target structural parameters and physical performance parameters, so that the process parameters are highly matched with the actual needs of the product, reduce defects such as insufficient filling, air entrapment, flow marks, etc. caused by improper parameters, and effectively ensure the integrity, function, strength and appearance quality of the product.

[0047] The mold flow analysis of the injection molding model can obtain the cavitation map, filling map and shrinkage mark diagram, and then determine the quality indicators such as the total volume of the trapped area, the total area of ​​the underfilled area and the total length of the flow mark, so as to achieve a quantitative evaluation of product quality defects. Comprehensively evaluating different process parameter combinations from multiple dimensions can comprehensively consider various factors, find the most suitable process parameter combination, and improve the overall quality of the product.

[0048] A fitness function is constructed to integrate multiple quality indicators, and a better combination of process parameters is selected as the parent individual based on a probabilistic selection mechanism. The population diversity is increased through crossover and mutation operations to avoid falling into the local optimal solution, and the optimal combination of process parameters is gradually approached, which effectively reduces product defects and improves product quality.

[0049] The determined optimal process parameter combination makes the injection molding production process more stable, reduces product quality fluctuations, improves product qualification rate, reduces scrap rate, reduces production interruptions and rework caused by quality problems, and further improves production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a flow chart of a method for determining injection molding process parameters of a connector bus provided by an embodiment of the present invention.

[0051] Figure 2 It is a module schematic diagram of a device for determining injection molding process parameters of a connector bus provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0053] like Figure 1 As shown, an embodiment of the present invention provides a method for determining injection molding process parameters of a connector bus, comprising:

[0054] Step 11, obtaining target structural parameters and physical performance parameters of the connector bus;

[0055] Step 12, determining a three-dimensional model of the connector bus according to the target structural parameters and physical performance parameters;

[0056] Step 13, obtaining injection molding process parameters of an injection molding model of the connector busbar that matches the three-dimensional model;

[0057] Step 14, obtaining a plurality of quality indicators corresponding to a plurality of groups of injection molding process parameters of the injection molding model respectively according to the injection molding process parameters and the physical performance parameters;

[0058] Step 15: determining a target set of injection molding process parameters of the injection molding model according to the multiple quality indicators.

[0059] In this example, by obtaining the target structural parameters and physical performance parameters of the connector bus, the subsequent steps gradually determine the three-dimensional model, injection molding process parameters, quality indicators, etc., forming a systematic process for determining injection molding process parameters. The process can accurately determine the appropriate process parameters according to the target parameters of the product, thereby reducing defects such as insufficient filling, air entrapment, flow marks, etc. caused by improper process parameters, effectively improving product quality, and ensuring the integrity, function, strength and appearance quality of the product.

[0060] The three-dimensional model and injection molding process parameters are determined based on the target structural parameters and physical performance parameters. The quality indicators are obtained based on these parameters and the target group of injection molding process parameters are finally determined, making the determination of injection molding process parameters more scientific and reasonable and matching the actual needs of the product.

[0061] In an optional embodiment of the present invention, in step 11, obtaining target structural parameters of the connector bus includes:

[0062] Step 111, obtaining the geometric shape, dimensional accuracy and wall thickness distribution of the connector bus.

[0063] In step 12, determining the three-dimensional model of the connector bus according to the target structural parameters and physical performance parameters includes:

[0064] Step 121, based on the obtained target structural parameters of the connector busbar, such as the geometric shape, dimensional accuracy, and wall thickness distribution, a basic geometric model of the connector busbar is constructed using professional 3D modeling software;

[0065] Step 122 , assigning physical performance parameters of the connector bus (such as elastic modulus, thermal expansion coefficient, density, etc. of the material) to the basic geometric model.

[0066] In this example, in step 121, based on the target structural parameters such as geometric shape, dimensional accuracy and wall thickness distribution, a basic geometric model is constructed using professional 3D modeling software, which can accurately convert product design requirements into a digital model. This precise modeling ensures that the model is highly consistent with the actual product in structure, avoids the disconnection between subsequent injection molding process parameters and actual requirements due to modeling errors, provides a basic guarantee for producing connector buses that meet design standards, and effectively avoids problems such as product dimensional deviation and unreasonable structure caused by inaccurate models.

[0067] Step 122 assigns physical performance parameters such as elastic modulus, thermal expansion coefficient, density, etc. to the basic geometric model, so that the model has the physical properties of the material. These parameters have a key impact on material flow, cooling shrinkage, stress distribution, etc. during the injection molding process. The model with the assigned parameters can more realistically simulate the physical behavior of the connector busbar during the actual injection molding process.

[0068] In step 13, the step of obtaining the injection molding process parameters of the injection molding model of the connector busbar that matches the three-dimensional model includes:

[0069] Step 131, obtaining at least one injection molding process parameter of the injection molding model of the connector busbar matching the three-dimensional model, including injection pressure, injection speed, melt temperature, mold temperature, holding pressure, holding time and cooling time.

[0070] In this example, injection pressure, injection speed, melt temperature, mold temperature, holding pressure, holding time and cooling time are key parameters in the injection molding process, which have an important impact on defects such as insufficient filling, air entrapment, and flow marks.

[0071] If the injection pressure is too low, the melt cannot flow fully in the mold and it is difficult to fill every corner of the cavity, resulting in insufficient filling. A sufficiently high injection pressure can push the melt to overcome the flow resistance, fill the entire cavity, and reduce the occurrence of insufficient filling. Properly increasing the injection pressure helps to squeeze the gas out of the cavity and reduce the possibility of trapped gas. However, if the pressure is too high, the gas may dissolve in the melt under high pressure, and precipitate in the form of bubbles when the pressure is released, forming trapped gas. Unstable or too high or too low injection pressure may cause flow marks. Unstable pressure will cause uneven melt flow and form flow marks on the surface of the product; too high pressure may cause the melt to spray into the cavity, resulting in spray marks and affecting the appearance quality.

[0072] If the injection speed is too slow, the melt will flow in the mold for too long, and it is easy to cool and solidify, resulting in insufficient filling. A faster injection speed can quickly fill the cavity with the melt, reducing the difficulty of filling caused by melt cooling. If the injection speed is too fast, the melt may quickly close the cavity, wrapping the air in it, forming trapped air. Properly reducing the injection speed allows the melt to fill the cavity smoothly, which is conducive to gas discharge. During high-speed injection, the melt and the mold surface rub violently, which is easy to produce flow marks. In addition, uneven speed can also cause inconsistent melt flow, leaving flow marks on the surface of the product. If the injection speed is too slow, the surface of the melt may form cold material spots due to cooling, affecting the appearance.

[0073] If the melt temperature is too low, the fluidity of the plastic will deteriorate, and the melt will have difficulty flowing in the mold, which may lead to insufficient filling. Increasing the melt temperature can reduce the viscosity of the melt, making it easier to fill the fine details of the mold. If the melt temperature is too high, the solubility of the gas in the plastic may be reduced, which may cause the gas to precipitate and form bubbles, increasing the risk of trapped gas. At the same time, the melt flows faster at high temperatures and is also prone to entrapping air. Uneven melt temperature can lead to inconsistent melt flow properties and form flow marks on the surface of the product. Too high a temperature may also cause the melt to flow excessively in the mold, resulting in an uneven surface and flow marks.

[0074] If the mold temperature is too low, the melt near the mold surface will cool down quickly, the viscosity will increase, the flow resistance will increase, and insufficient filling will occur. Properly increasing the mold temperature can keep the melt in the mold with good fluidity, which is conducive to filling. Uneven mold temperature may cause gas to gather in the lower temperature area, forming trapped gas. In addition, low mold temperature will cause the melt to solidify prematurely, which is not conducive to gas discharge. If the mold temperature is too low, the melt will cool too quickly on the mold surface, which is easy to produce flow marks. If the mold temperature is too high, the product surface may appear "orange peel" or demolding may be difficult, which will also affect the appearance quality.

[0075] Insufficient holding pressure will result in failure to replenish plastic in time during melt cooling and shrinkage, which will cause shrinkage depressions in the product and even cause partial insufficient filling. Sufficient holding pressure can keep the melt at a certain pressure in the mold, compensate for the volume change caused by cooling and shrinkage, and ensure the dimensional accuracy and integrity of the product. The effect of holding pressure on trapped gas is relatively small, but if the holding pressure is too high, the gas may dissolve in the melt under high pressure, increasing the potential risk of trapped gas. Unstable or too high holding pressure may cause additional flow of the melt in the mold, forming flow marks on the surface of the product or making existing flow marks more obvious.

[0076] If the holding time is too short, the melt cannot be fully replenished during the cooling and shrinking process, which may easily cause shrinkage defects and lead to insufficient filling. Properly extending the holding time can keep sufficient pressure on the melt in the mold, reduce shrinkage, and improve the density and dimensional stability of the product. The impact of the holding time on gas entrapment is mainly reflected in that if the holding time is too long, the gas may stay in the melt for too long, increasing the possibility of gas entrapment. Improper holding time may affect the surface quality of the product. If the holding time is too long, stress marks may appear on the surface of the product; if it is too short, it may cause uneven shrinkage and flow marks.

[0077] If the cooling time is too short, the product will not be completely cooled and solidified when demolded, and it is easy to deform, affecting the dimensional accuracy and even causing partial underfilling. Sufficient cooling time allows the product to fully cool and shape in the mold to ensure its dimensional stability and integrity. The cooling time has little effect on trapped air, but if the cooling speed is too fast, the gas inside the product may not have time to be discharged, forming trapped air. Uneven cooling time will cause uneven shrinkage of the product, resulting in flow marks. In addition, too long cooling time may cause cold material spots on the surface of the product, affecting the appearance quality.

[0078] In an optional embodiment of the present invention, in step 14, multiple quality indicators corresponding to multiple groups of injection molding process parameters of the injection molding model are obtained according to the injection molding process parameters and physical performance parameters, including:

[0079] Step 141, performing mold flow analysis on the three-dimensional model according to the injection molding process parameters and physical performance parameters, and obtaining cavitation diagrams, filling diagrams, and shrinkage mark diagrams corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0080] Step 142, determining the first quality index corresponding to the plurality of injection molding process parameters of the injection molding model according to the cavitation map, wherein the first quality index is the total volume A of the trapped gas region. i ;

[0081] Step 143, according to the filling map, determining the second quality index corresponding to the multiple groups of injection molding process parameters of the injection molding model, wherein the second quality index is the total area V of the underfilled region. i ;

[0082] Step 144, according to the sink mark schematic diagram, determine the third quality index corresponding to the multiple groups of injection molding process parameters of the injection molding model, the third quality index is the total length L of the flow mark i ; Wherein, i=1, 2, ...N, N is the number of groups of injection molding process parameters of the injection molding model.

[0083] In step 142, according to the cavitation map, the total volume A of the trapped gas region corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0084] Step 1421, according to A i = Determine the total volume of the trapped air region corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0085] Among them, A i is the total volume of the trapped air region, k=1, 2, ...n, n is the total number of cavitation regions, is the volume of each cavitation area.

[0086] In step 143, according to the filling map, the total area V of the underfilled region corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0087] Step 1431, according to V i = Determine the total area of ​​the underfilled region corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0088] Among them, V i is the total area of ​​the underfilled region, h=1, 2, ...e, e is the total number of underfilled regions, is the volume of each underfilled area.

[0089] In step 144, according to the sink mark schematic diagram, the total flow mark length L corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0090] Step 1441, according to L i = Determine the total length L of the flow mark corresponding to multiple sets of injection molding process parameters of the injection molding model i ;

[0091] Among them, L iis the total length of the flow mark, l=1, 2, ...t, t is the total number of flow marks, is the linear length of each flow mark.

[0092] In this example, step 142 calculates the total volume A of the trapped air region. i , which can quantify the defect of air entrapment during the injection molding process. In actual production, air entrapment can cause bubbles inside the product, reduce product strength, and even cause problems such as burning. By accurately calculating the total volume of the air entrapment area, we can intuitively understand the severity of air entrapment under different process parameter combinations, providing a clear quantitative basis for subsequent optimization of process parameters.

[0093] The total area V of the underfilled region determined in step 143 i , can accurately measure the situation of partial material shortage in the product. Insufficient filling will affect the integrity and function of the product. Through this quantitative indicator, the degree of insufficient filling under different process parameter groups can be clearly compared, which is convenient for targeted adjustment of process parameters and improving the integrity and functional reliability of the product.

[0094] The total length L of the flow mark calculated in step 144 is i , which can effectively quantify flow marks, a defect that affects the appearance quality of products. For some application scenarios with strict requirements on appearance, flow marks will make the product unable to meet the requirements. Through this indicator, the difference in product appearance quality under different process parameters can be clearly identified, providing data support for improving appearance quality.

[0095] By obtaining multiple quality indicators corresponding to multiple sets of injection molding process parameters, we can comprehensively evaluate different process parameter combinations from multiple dimensions such as air entrapment, insufficient filling, flow marks, etc. In actual production, different process parameter combinations may have different effects on different quality indicators. Through multi-dimensional comparison, we can comprehensively consider various factors and find the most suitable process parameter combination.

[0096] In an optional embodiment of the present invention, in step 15, determining a target group of injection molding process parameters of the injection molding model according to the multiple quality indicators includes:

[0097] Step 151, according to the total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer;

[0098] Step 152, generating new offspring individuals to form a offspring population by crossover according to the parent population;

[0099] Step 153, obtaining a final new population through mutation operation according to the offspring population;

[0100] Step 154, determine whether the number of iterations reaches the preset value. If not, repeat the selection, crossover, mutation, fitness calculation and termination condition judgment steps with the new population as the current population. If reached, determine a group of injection molding process parameters corresponding to the individual with the best fitness in the current population as the target group of injection molding process parameters for the injection molding model.

[0101] In step 151, the total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model is i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer, including:

[0102] Step 1511, according to F i =aA i +bV i +cL i Determine the fitness function of multiple groups of injection molding process parameters; where F i is the fitness value of each injection molding process parameter combination, a, b, c are weight coefficients, and a+b+c=1;

[0103] Step 1512, according to S= Determine the sum of fitness values ​​of each injection molding process parameter combination; wherein S is the sum of fitness values ​​of each injection molding process parameter combination, i=1, 2, ...N, and N is the number of combinations of injection molding process parameter combinations;

[0104] Step 1513, according to p i = Determine the selection probability of each injection molding process parameter combination, where p i is the selection probability of each injection molding process parameter combination, F i is the fitness value of each injection molding process parameter combination, and S is the sum of the fitness values ​​of each injection molding process parameter combination;

[0105] Step 1514, according to q i = Determine the cumulative probability of each injection molding process parameter combination, where q i is the cumulative probability of each injection molding process parameter combination, p i is the selection probability of each injection molding process parameter combination, j=1, 2, ...i, i is the index identification of each injection molding process parameter combination;

[0106] Step 1515, generate a random number r between [0, 1]. If q i-1 r q i , then select the i-th injection molding process parameter combination;

[0107] Step 1516, repeat the above selection process until a set number of injection molding process parameter combinations are selected as parent individuals to form a parent population,

[0108] where the set number is W, and W is a positive integer.

[0109] In Step 152, generating new offspring individuals to form an offspring population through the crossover method based on the parent population includes:

[0110] Step 1521, randomly select a crossover method, and the crossover methods include single-point crossover, multi-point crossover, or uniform crossover;

[0111] Step 1522, if single-point crossover is selected, randomly select a crossover point c. For each pair of parent individuals P 1 =(x 11 ,x 12 ,…,x 1n ) and P 2 =(x 21 ,x 22, …,x 2n ), generate offspring individuals C 1 and C 2 ,

[0112] where 1 < c < the number of parameters of the injection molding process parameter combination,

[0113] C 1 =(x 11 ,x 12 ,…,x 1c ,x 1,c+1 ,x 2,c+2 ,…,x 2n ), C 2 =(x 21 ,x 22 ,…,x 2c ,x 1,c+1 ,x 1,c+2 ,…,x 1n );

[0114] Step 1523, if multi-point crossover is selected, randomly select m crossover points c 1 ,c 2 ,…,c m, the gene sequence of the parental individual is divided into m+1 segments according to the intersection points, and then these segments are alternately exchanged to generate offspring individuals.

[0115] where 1 < c 1 <c 2 <…<c m <the number of parameters of the injection molding process parameter combination;

[0116] Step 1524, if uniform crossover is selected, for each pair of parental individuals, a binary mask M=(m 1 , m 2 ,…, m n ) of length equal to the number of parameters of the injection molding process parameter combination is generated. If m i <0.5, then the i-th parameter of the offspring individual C 1 takes the i-th parameter of P 1 , and the i-th parameter of C 2 takes the i-th parameter of P 2 ; otherwise, the i-th parameter of C 1 takes the i-th parameter of P 2 , and the i-th parameter of C 2 takes the i-th parameter of P 1 .

[0117] where m i is a randomly generated number between [0,1];

[0118] Step 1525, new offspring individuals are generated through the crossover operation to form an offspring population.

[0119] In step 153, the final new population is obtained by performing a mutation operation on the offspring population, including:

[0120] Step 1531, each offspring individual is checked for mutation with a preset mutation probability p. The mutation check includes basic bit mutation and Gaussian mutation;

[0121] Step 1532, if basic bit mutation is adopted, for the individual C=(x 1 , x 2 ,…, x n ), each parameter x i is checked in turn; a random number R between [0,1] is generated. If R < p, then x i is mutated, and x inew =x iold +rand()×(x imax -x imin ),

[0122] where x imax and x iminis x i The upper and lower limits of the value, rand() randomly generates another random number between [0,1];

[0123] Step 1533, if Gaussian mutation is used, for the offspring individuals that need to be mutated, the current parameter value of the individual is taken as the mean, a preset standard deviation is taken as the parameter, and a value is randomly sampled from the Gaussian distribution as the parameter value after mutation, so that the parameter value after mutation is within a reasonable value range;

[0124] Step 1534, after the mutation operation, the final new population is obtained.

[0125] In step 154, it is determined whether the number of iterations reaches a preset value. If not, the selection, crossover, mutation, fitness calculation and termination condition determination steps are repeated with the new population as the current population. If it is reached, the injection molding process parameters corresponding to the individual with the best fitness in the current population are determined as the optimal parameters, including:

[0126] Step 1541, perform mold flow analysis again on each individual in the new population and recalculate its fitness value;

[0127] Step 1542, determining whether the termination condition is met and the number of iterations reaches a preset number of iterations;

[0128] Step 1543, if the termination condition is not met, the new population is used as the current population, and the selection, crossover, mutation, fitness calculation and termination condition judgment steps are repeated;

[0129] Step 1544: if the termination condition is met, the injection molding process parameters corresponding to the individual with the best fitness value in the current population are determined as the optimal parameters.

[0130] In this example, by constructing the fitness function F i =aA i +bV i +cL i , can comprehensively calculate the total volume of the trapped air region A i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i These multiple quality indicators weigh the impact of different indicators on product quality. In this way, the advantages and disadvantages of process parameter combinations can be evaluated from multiple dimensions, and process parameters that better meet product quality requirements can be selected to effectively reduce defects such as air entrapment, insufficient filling and flow marks in products, thereby improving the overall quality of products.

[0131] Using the total fitness value S and the selection probability p i and the cumulative probability q iThe selection of process parameter combinations can make process parameter combinations with high fitness values ​​have a greater probability of being selected as parent individuals. This probability-based selection mechanism helps to screen out better individuals from many process parameter combinations, laying a good foundation for subsequent genetic operations, thereby gradually approaching the optimal process parameter combination.

[0132] In the crossover operation, multiple methods such as single-point crossover, multi-point crossover and uniform crossover are provided, which can randomly exchange the genetic information of parent individuals to generate new offspring individuals. This operation increases the diversity of the population, allowing the algorithm to explore a wider solution space and avoid falling into the local optimal solution. Different crossover methods can be flexibly selected according to actual conditions to further improve the search efficiency of the algorithm.

[0133] The mutation operation checks each offspring individual with a preset mutation probability, and randomly adjusts the parameters of the individual using basic bit mutation and Gaussian mutation. The mutation operation can break the limitations of the existing solution to a certain extent, allowing the algorithm to jump out of the local optimal solution, explore a better combination of process parameters, and improve the global search ability of the algorithm.

[0134] By repeating the steps of selection, crossover, mutation, fitness calculation and termination condition judgment, the algorithm can optimize the population in each iteration. As the number of iterations increases, the individuals in the population gradually move closer to the optimal solution. Finally, when the preset number of iterations is reached, the individual with the best fitness can be obtained, and the corresponding process parameters are the target group injection molding process parameters. This iterative optimization method can ensure the accuracy and reliability of the results.

[0135] In each iteration, the mold flow analysis is performed again on each individual in the new population and its fitness value is recalculated. This enables the algorithm to adjust the search direction in real time according to the latest analysis results, ensuring that the algorithm always searches in a better direction, improving the adaptability and effectiveness of the algorithm.

[0136] By determining the optimal combination of process parameters, the injection molding production process can be made more stable and product quality fluctuations caused by improper process parameters can be reduced. This helps to improve the product qualification rate, reduce the scrap rate, further reduce production costs, and improve the economic benefits of the enterprise.

[0137] By acquiring the target structural parameters and physical performance parameters, the present invention can accurately determine the three-dimensional model and injection molding process parameters, so that the process parameters are highly matched with the actual needs of the product, reduce defects such as insufficient filling, air entrapment, flow marks, etc. caused by improper parameters, and effectively ensure the integrity, function, strength and appearance quality of the product.

[0138] The mold flow analysis of the injection molding model can obtain the cavitation map, filling map and shrinkage mark diagram, and then determine the quality indicators such as the total volume of the trapped area, the total area of ​​the underfilled area and the total length of the flow mark, so as to achieve a quantitative evaluation of product quality defects. Comprehensively evaluating different process parameter combinations from multiple dimensions can comprehensively consider various factors, find the most suitable process parameter combination, and improve the overall quality of the product.

[0139] A fitness function is constructed to integrate multiple quality indicators, and a better combination of process parameters is selected as the parent individual based on a probabilistic selection mechanism. The population diversity is increased through crossover and mutation operations to avoid falling into the local optimal solution, and the optimal combination of process parameters is gradually approached, which effectively reduces product defects and improves product quality.

[0140] The determined optimal process parameter combination makes the injection molding production process more stable, reduces product quality fluctuations, improves product qualification rate, reduces scrap rate, reduces production interruptions and rework caused by quality problems, and further improves production efficiency.

[0141] like Figure 2 As shown, an embodiment of the present invention further provides a device 20 for determining injection molding process parameters of a connector bus, comprising:

[0142] An acquisition module 21, used to acquire target structural parameters and physical performance parameters of the connector bus and injection molding process parameters of an injection molding model of the connector bus that matches the three-dimensional model;

[0143] The processing module 22 is used to determine the three-dimensional model of the connector bus according to the target structural parameters and physical performance parameters; obtain multiple quality indicators corresponding to multiple groups of injection molding process parameters of the injection molding model according to the injection molding process parameters and physical performance parameters; and determine the target group of injection molding process parameters of the injection molding model according to the multiple quality indicators.

[0144] Optionally, obtaining target structural parameters of the connector bus includes:

[0145] Capture the geometry, dimensional accuracy, and wall thickness distribution of connector busbars.

[0146] Optionally, the obtaining of injection molding process parameters of an injection molding model of the connector busbar that matches the three-dimensional model includes:

[0147] At least one injection molding process parameter of the injection molding model of the connector busbar matching the three-dimensional model is obtained, including injection pressure, injection speed, melt temperature, mold temperature, holding pressure, holding time, and cooling time.

[0148] Optionally, according to the injection molding process parameters and physical performance parameters, a plurality of quality indicators corresponding to a plurality of groups of injection molding process parameters of the injection molding model are obtained, including:

[0149] According to the injection molding process parameters and physical performance parameters, a mold flow analysis is performed on the three-dimensional model to obtain cavitation diagrams, filling diagrams and shrinkage mark schematic diagrams corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0150] According to the cavitation map, a first quality index corresponding to multiple groups of injection molding process parameters of the injection molding model is determined, wherein the first quality index is the total volume A of the trapped gas area. i ;

[0151] According to the filling map, a second quality index corresponding to multiple groups of injection molding process parameters of the injection molding model is determined, and the second quality index is the total area V of the insufficient filling area. i ;

[0152] According to the sink mark schematic diagram, the third quality index corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined, and the third quality index is the total length L of the flow mark i ; Wherein, i=1, 2, ...N, N is the number of groups of injection molding process parameters of the injection molding model.

[0153] Optionally, according to the cavitation map, the total volume A of the trapped gas region corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0154] According to A i = Determine the total volume of the trapped air region corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0155] Among them, A i is the total volume of the trapped air region, k=1, 2, ...n, n is the total number of cavitation regions, is the volume of each cavitation area.

[0156] Optionally, according to the filling map, the total area V of the insufficient filling region corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0157] According to V i = Determine the total area of ​​the underfilled region corresponding to multiple groups of injection molding process parameters of the injection molding model;

[0158] Among them, V i is the total area of ​​the underfilled region, h=1, 2, ...e, e is the total number of underfilled regions, is the volume of each underfilled area.

[0159] Optionally, according to the sink mark schematic diagram, the total flow mark length L corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include:

[0160] According to L i = Determine the total length L of the flow mark corresponding to multiple sets of injection molding process parameters of the injection molding model i ;

[0161] Among them, L i is the total length of the flow mark, l=1, 2, ...t, t is the total number of flow marks, is the linear length of each flow mark.

[0162] Optionally, determining a target set of injection molding process parameters of the injection molding model according to the multiple quality indicators includes:

[0163] The total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer;

[0164] Generate new offspring individuals to form a offspring population through crossover according to the parent population;

[0165] Obtaining a final new population through mutation operation according to the offspring population;

[0166] It is determined whether the number of iterations reaches the preset value. If not, the selection, crossover, mutation, fitness calculation and termination condition judgment steps are repeated with the new population as the current population. If it is reached, a set of injection molding process parameters corresponding to the individual with the best fitness in the current population is determined as the target set of injection molding process parameters for the injection molding model.

[0167] Optionally, the total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model is i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer, including:

[0168] According to F i =aA i +bV i +cL i Determine the fitness function of multiple groups of injection molding process parameters; where F iis the fitness value of each injection molding process parameter combination, a, b, c are weight coefficients, and a+b+c=1;

[0169] According to S= Determine the sum of fitness values ​​of each injection molding process parameter combination; wherein S is the sum of fitness values ​​of each injection molding process parameter combination, i=1, 2, ...N, and N is the number of combinations of injection molding process parameter combinations;

[0170] According to p i = Determine the selection probability of each injection molding process parameter combination, where p i is the selection probability of each injection molding process parameter combination, F i is the fitness value of each injection molding process parameter combination, and S is the sum of the fitness values ​​of each injection molding process parameter combination;

[0171] According to q i = Determine the cumulative probability of each injection molding process parameter combination, where q i is the cumulative probability of each injection molding process parameter combination, p i is the selection probability of each injection molding process parameter combination, j=1, 2, ...i, i is the index identification of each injection molding process parameter combination;

[0172] Generate a random number r between [0,1], if q i-1 r q i , then select the i-th injection molding process parameter combination;

[0173] Repeat the above selection process until a set number of injection molding process parameter combinations are selected as parent individuals to form a parent population.

[0174] The set quantity is W, and W is a positive integer.

[0175] It should be noted that the device is a device corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0176] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining injection molding process parameters of a connector bus, characterized in that: include: Obtain target structural parameters and physical performance parameters of the connector bus; Determining a three-dimensional model of the connector bus according to the target structural parameters and physical performance parameters; Acquire injection molding process parameters of an injection molding model of the connector busbar that matches the three-dimensional model; According to the injection molding process parameters and physical performance parameters, a plurality of quality indicators corresponding to the plurality of groups of injection molding process parameters of the injection molding model are obtained; According to the multiple quality indicators, a target set of injection molding process parameters of the injection molding model is determined.

2. The method for determining the injection molding process parameters of the connector bus according to claim 1, characterized in that: The step of obtaining target structural parameters of the connector bus includes: Obtain the geometry, dimensional accuracy and wall thickness distribution of connector busbars.

3. The method for determining the injection molding process parameters of the connector bus according to claim 2, characterized in that: The step of obtaining the injection molding process parameters of the injection molding model of the connector busbar that matches the three-dimensional model includes: At least one injection molding process parameter of the injection molding model of the connector busbar matching the three-dimensional model is obtained, including injection pressure, injection speed, melt temperature, mold temperature, holding pressure, holding time, and cooling time.

4. The method for determining the injection molding process parameters of the connector bus according to claim 1, characterized in that: According to the injection molding process parameters and physical performance parameters, multiple quality indicators corresponding to multiple groups of injection molding process parameters of the injection molding model are obtained, including: According to the injection molding process parameters and physical performance parameters, a mold flow analysis is performed on the three-dimensional model to obtain cavitation diagrams, filling diagrams and shrinkage mark schematic diagrams corresponding to multiple groups of injection molding process parameters of the injection molding model; According to the cavitation map, a first quality index corresponding to multiple groups of injection molding process parameters of the injection molding model is determined, wherein the first quality index is the total volume A of the trapped gas area. i ; According to the filling map, a second quality index corresponding to multiple groups of injection molding process parameters of the injection molding model is determined, and the second quality index is the total area V of the insufficient filling area. i ; According to the sink mark schematic diagram, the third quality index corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined, and the third quality index is the total length L of the flow mark i ; Wherein, i=1, 2, ...N, N is the number of groups of injection molding process parameters of the injection molding model.

5. The method for determining the injection molding process parameters of the connector bus according to claim 4, characterized in that: According to the cavitation map, the total volume A of the trapped gas area corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include: According to A i = Determine the total volume of the trapped air region corresponding to multiple groups of injection molding process parameters of the injection molding model; Among them, A i is the total volume of the trapped air region, k=1, 2, ...n, n is the total number of cavitation regions, is the volume of each cavitation area.

6. The method for determining the injection molding process parameters of the connector bus according to claim 4, characterized in that: According to the filling map, the total area V of the insufficient filling region corresponding to the multiple groups of injection molding process parameters of the injection molding model is determined. i ,include: According to V i = Determine the total area of ​​the underfilled region corresponding to multiple groups of injection molding process parameters of the injection molding model; Among them, V i is the total area of ​​the underfilled region, h=1, 2, ...e, e is the total number of underfilled regions, is the volume of each underfilled area.

7. The method for determining the injection molding process parameters of the connector bus according to claim 4, characterized in that: According to the shrinkage mark schematic diagram, determine the total flow mark length L corresponding to multiple groups of injection molding process parameters of the injection molding model i ,include: According to L i = Determine the total length L of the flow mark corresponding to multiple sets of injection molding process parameters of the injection molding model i ; Among them, L i is the total length of the flow mark, l=1, 2, ...t, t is the total number of flow marks, is the linear length of each flow mark.

8. The method for determining the injection molding process parameters of the connector bus according to claim 4, characterized in that: Determining a target set of injection molding process parameters of the injection molding model according to the multiple quality indicators includes: The total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer; Generate new offspring individuals to form a offspring population through crossover according to the parent population; Obtaining a final new population through mutation operation according to the offspring population; It is determined whether the number of iterations reaches the preset value. If not, the selection, crossover, mutation, fitness calculation and termination condition judgment steps are repeated with the new population as the current population. If it is reached, a set of injection molding process parameters corresponding to the individual with the best fitness in the current population is determined as the target set of injection molding process parameters for the injection molding model.

9. The method for determining the injection molding process parameters of the connector bus according to claim 8, characterized in that: The total volume A of the trapped air region corresponding to the multiple groups of injection molding process parameters of the injection molding model i , Total area of ​​insufficient filling area V i and the total length of the flow mark L i , select W groups of injection molding process parameters as parent individuals to form a parent population, where W is a positive integer, including: According to F i =aA i +bV i +cL i Determine the fitness function of multiple groups of injection molding process parameters; where F i is the fitness value of each injection molding process parameter combination, a, b, c are weight coefficients, and a+b+c=1; According to S= Determine the sum of fitness values ​​of each injection molding process parameter combination; wherein S is the sum of fitness values ​​of each injection molding process parameter combination, i=1, 2, ...N, and N is the number of combinations of injection molding process parameter combinations; According to p i = Determine the selection probability of each injection molding process parameter combination, where p i is the selection probability of each injection molding process parameter combination, F i is the fitness value of each injection molding process parameter combination, and S is the sum of the fitness values ​​of each injection molding process parameter combination; According to q i = Determine the cumulative probability of each injection molding process parameter combination, where q i is the cumulative probability of each injection molding process parameter combination, p i is the selection probability of each injection molding process parameter combination, j=1, 2, ...i, i is the index identification of each injection molding process parameter combination; Generate a random number r between [0,1], if q i-1 r q i , then select the i-th injection molding process parameter combination; Repeat the above selection process until a set number of injection molding process parameter combinations are selected as parent individuals to form a parent population. The set quantity is W, and W is a positive integer.

10. A device for determining injection molding process parameters of a connector bus, characterized in that: include: An acquisition module, used to acquire target structural parameters and physical performance parameters of the connector bus and injection molding process parameters of an injection molding model of the connector bus that matches the three-dimensional model; A processing module, used for determining a three-dimensional model of the connector bus according to the target structural parameters and physical performance parameters; According to the injection molding process parameters and physical performance parameters, a plurality of quality indicators respectively corresponding to the plurality of groups of injection molding process parameters of the injection molding model are obtained; according to the plurality of quality indicators, a target group of injection molding process parameters of the injection molding model is determined.

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