CN115891078A - Prediction system and prediction method for plastic part forming and debugging process - Google Patents
Prediction system and prediction method for plastic part forming and debugging process Download PDFInfo
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Abstract
The invention discloses a prediction system and a prediction method for a plastic part molding debugging process. The method and the device calculate and predict the injection molding data of the product based on the final MOLDFLOWCAE analysis result before mold opening and the selected injection molding machine, and correct and finely adjust the predicted data based on the final MOLDFLOWCAE analysis result before mold opening.
Description
Technical Field
The invention relates to the technical field of injection molding processes, in particular to a prediction system and a prediction method for a plastic part molding debugging process.
Background
The plastic has the characteristics of strong processability, light weight, capability of meeting different performance requirements through modification and the like, and is widely applied to various industries. Injection molding is a method in which a molten resin material is injected into a mold cavity at a certain speed, pressure and temperature, and then cooled and solidified to obtain a product. The appearance quality of the product is determined by technological parameters such as an injection molding speed curve, a pouring gate opening and closing time, a pressure maintaining curve and the like. The debugging is carried out in a mould manufacturer before the acceptance of the mould, and the relatively reasonable process parameters are generally obtained through multiple process adjustments. After the mold is delivered to a part mass production factory, the injection molding machine is changed, debugging needs to be restarted, multiple times of debugging needs to be carried out for obtaining reasonable technological parameters, and how to rapidly and reasonably provide the technological parameters for matching different injection molding machines is an important factor influencing debugging efficiency.
In the prior art, a process person mainly debugs the process, and the method for determining the process parameters comprises the following steps: referring to the process parameters of the past similar projects, a craftsman adjusts and optimizes the process according to experience, if the shape difference of a new product is large, a plurality of schemes need to be designed for verification, and the better scheme is selected for process optimization based on the scheme. Therefore, although the prior art can finally obtain reasonable process parameters and successfully put into production, the prior art passes multiple times of debugging and effect confirmation. The process personnel experience determines the product quality and debugging efficiency to a great extent, so that the defects of high cost (materials, energy and labor), long time period and the like generally exist, and the help on the quick and efficient production of the die is very limited.
Disclosure of Invention
The invention aims to solve the defects of the background technology and provide a prediction system and a prediction method for a plastic part molding debugging process, which can greatly reduce the debugging cost and greatly increase the debugging efficiency.
In order to realize the purpose, the plastic part molding debugging process prediction system comprises a metering position calculation module, an injection stage data module, a pouring gate and pressure maintaining data module and a data analysis module;
the metering position calculating module is used for calculating a debugging metering position L of a product on the selected injection molding machine;
the injection stage data module is used for calculating injection stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve;
the sprue and pressure maintaining data module is used for adjusting the metering position L of the product on the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each sprue is opened n is opened % and pressure data, calculating the opening position of the pouring gate and pressure maintaining data;
the data analysis module is used for comparing the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final MOLDFLOW CAE analysis result before mold opening.
Further, the injection stage data includes a filling speed Vn (%), an injection end position Ln, and a V/P switching position α of each stage of injection.
Further, the pressure data comprises a holding pressure P and a holding time t; the gate opening position and pressure maintaining data comprises gate opening positions G n is opened And the percentage P (%) of the dwell pressure output by the selected injection molding machine.
Specifically, the method for predicting the plastic part molding debugging process comprises the steps of calculating the debugging metering position L of a product on a selected injection molding machine;
calculating injection molding stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve;
according to the debugging and metering position L of the product on the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each sprue is opened n is opened % and pressureCalculating the opening position of the pouring gate and pressure maintaining data;
and comparing the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final MOLDFLOW CAE analysis result before mold opening.
Further, the method for calculating the debugging metering position L of the product on the selected injection molding machine comprises the following steps: determining the weight G of the product according to the final MOLDFLOW CAE analysis result before opening the die; collecting the weight, the debugging metering position and the buffer quantity of the finished product which is injected by the selected injection molding machine and has the same material with the product and comprises a sprue, and calculating the average unit gram weight of the selected injection molding machine when the product which is injected by the selected injection molding machine and has the same material with the product is produced
And an average buffer quantity->
The weight G of the product, the average unit gram weight of the selected injection molding machine when producing products of the same material as the product, is selected>
And an average buffer quantity->
And (4) bringing the calculation formula of the debugging metering position L into the calculation formula to obtain the debugging metering position L of the product on the selected injection molding machine. The calculation formula of the debugging metering position L is
Further, the calculating the injection molding stage data according to the debugging metering position L and the screw speed curve of the product on the selected injection molding machine includes: calculating a V/P switching position alpha, calculating an injection end point position Ln of each injection molding stage and calculating a filling speed Vn (%) of each injection molding stage.
Further, the method for calculating the V/P switching position α is: selecting the injection amount of the product, and determining the weight G of the product and the average unit gram weight of the selected injection molding machine when the product with the same material as the product is produced
And an average buffer amount>
Substituting the calculation formula of the V/P switching position alpha to obtain the V/P switching position alpha, wherein the calculation formula of the V/P switching position alpha is
Further, the method for calculating the injection end point position Ln of each injection molding stage is as follows: fitting the relative injection speed and the injection volume of the screw speed curve according to the selected maximum screw speed control segment number of the injection molding machine, substituting the fitting result of the relative injection speed and the injection volume of the product at the debugging metering position L, the V/P switching position alpha and the screw speed curve of the selected injection molding machine into a calculation formula of the injection end position Ln of each injection molding stage to obtain the injection end position Ln of each injection molding stage, and calculating the calculation formula L of the injection end position Ln of each injection molding stage n ＝L-(L-α)*(VOL 1 +VOL 2 ％+……VOL n ％)。
Further, the method for calculating the filling speed Vn (%) of each injection molding stage is as follows: and determining injection molding time according to the final MOLDFLOW CAE analysis result before mold opening, and calculating the filling speed Vn (%) of each injection molding stage according to the injection end point position Ln of each injection molding stage, the fitting result of the relative injection speed and the injection volume of the screw speed curve, the screw diameter of the selected injection molding machine and the maximum injection molding speed of the selected injection molding machine.
Furthermore, the product is adjusted and metered at the selected injection molding machine according to the adjusting and metering position L and LData of injection molding stage, filling volume percentage G when each sprue is opened n is opened % and pressure data, calculating gate open position and holding pressure data including calculating each gate open position G n is opened And calculating a percentage P (%) of the selected injection molding machine output packing pressure.
Further, the calculation of each gate opening position G n is opened The method comprises the following steps: filling the product with volume percentage G at the debugging metering position L, the V/P switching position alpha and each sprue opening of the selected injection molding machine n is opened % of the area is brought into each gate opening position G n is opened Obtaining the opening position G of each gate n is opened Opening position G of each gate n is opened Is calculated by the formula G n is opened ＝L-(L-α)*G n is opened ％。
Further, the method of calculating the percentage P (%) of the hold pressure output of the selected injection molding machine is: determining a pressure holding pressure P according to a final MOLDFLOW CAE analysis result before mold opening, and calculating the pressure holding pressure P to account for the maximum injection pressure P of the selected injection molding machine max The percentage is the percentage P (%) of the output holding pressure of the injection molding machine.
Still further, the plastic part molding debugging process prediction method comprises the following steps:
the method comprises the following steps: calculating the debugging metering position L of the product on the selected injection molding machine;
step two: calculating injection molding stage data according to the debugging metering position L and the screw speed curve of the product in the selected injection molding machine;
step three: according to the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each pouring gate is opened n is opened % and pressure data, calculating the opening position of the pouring gate and pressure maintaining data;
step four: and comparing the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final MOLDFLOW CAE analysis result before mold opening.
The invention has the beneficial effects that: the method and the device calculate and predict the injection molding data of the product based on the final MOLDFLOW CAE analysis result before mold opening and the selected injection molding machine, and correct and finely adjust the predicted data based on the final MOLDFLOW CAE analysis result before mold opening.
Drawings
FIG. 1 is a block diagram of a prediction system for a plastic part molding debugging process according to the present invention;
FIG. 2 is a schematic view of a product gate arrangement according to an embodiment of the present invention;
FIG. 3 is a schematic representation of a screw speed profile for an embodiment of the present invention;
FIG. 4 is a schematic diagram of a fit of a screw speed profile according to an embodiment of the present invention;
the device comprises a measuring position calculating module, an injection stage data module, a pouring gate and pressure maintaining data module and a data analyzing module, wherein the measuring position calculating module is 1, the injection stage data module is 2, and the data analyzing module is 4.
Detailed Description
The invention is described in further detail below with reference to the figures and the specific embodiments.
The system for predicting the plastic part molding debugging process shown in fig. 1 comprises a metering position calculation module 1, an injection stage data module 2, a gate and pressure maintaining data module 3 and a data analysis module 4.
The metering position calculation module 1 is used for calculating the debugging metering position L of the product on the selected injection molding machine.
The injection stage data module 2 is used for calculating injection stage data according to a debugging metering position L and a screw speed curve of a product in a selected injection molding machine; the injection stage data includes the filling speed Vn (%) of each stage of injection, the injection end point position Ln and the V/P switching position α of each stage of injection.
Sprue and gateThe pressure data module 3 is used for adjusting the metering position L, the injection stage data and the filling volume percentage G when each sprue is opened according to the product on the selected injection molding machine n is opened % and pressure data, calculating the opening position of the pouring gate and pressure maintaining data; the pressure data comprises a pressure holding pressure P and a pressure holding time t; the gate opening position and pressure maintaining data includes the gate opening positions G n is opened And the percentage P (%) of the selected output packing pressure of the injection molding machine.
The data analysis module 4 is used for comparing the debugging and metering position L, the injection stage data, the gate opening position and the pressure maintaining data of the product on the selected injection molding machine with the final analysis result of the MOLDFLOW CAE before mold opening, so that the debugging and metering position L, the injection stage data, the gate opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final analysis result of the MOLDFLOW CAE before mold opening.
The prediction method based on the plastic part molding debugging process prediction system comprises the following steps:
the method comprises the following steps: calculating the debugging metering position L of the product in the selected injection molding machine; the method comprises the following steps: determining the weight G of the product according to the final MOLDFLOW CAE analysis result before opening the die; collecting the weight, the debugging metering position and the buffer amount of the finished product with the sprue, which is made of the same material as the product and is injected by the selected injection molding machine, and calculating the average unit gram weight of the selected injection molding machine when the product with the same material as the product is produced
And an average buffer quantity->
The weight G of the product and the selected injection molding machine are used for production
Average unit gram weight of product made of the same material as the product
And an average buffer amount>
Calculation formula with debugging metering position LAnd obtaining the debugging and metering position L of the product on the selected injection molding machine.
Step two: calculating injection molding stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve; the injection molding stage data comprises: (1) V/P switching position α, (2) injection end point position Ln of each injection stage, and (3) filling rate Vn (%) of each injection stage.
The method for calculating the V/P switching position alpha is as follows: selecting the injection amount of the product, and mixing the weight G of the product and the average unit gram weight of the selected injection molding machine when the product with the same material as the product is produced
And an average buffer quantity->
Substituting the calculation formula of the V/P switching position alpha to obtain the V/P switching position alpha;
the method for calculating the injection end point position Ln of each injection molding stage comprises the following steps: fitting the relative injection speed and the injection volume of the screw speed curve according to the selected maximum screw speed control section number of the injection molding machine, and bringing the fitting result of the relative injection speed and the injection volume of the product at the debugging and metering position L, V/P switching position alpha and the screw speed curve of the selected injection molding machine into a calculation formula of the injection end position Ln of each injection molding stage to obtain the injection end position Ln of each injection molding stage;
the method for calculating the filling speed Vn (%) in each injection molding stage is as follows: and determining injection molding time according to the final MOLDFLOW CAE analysis result before mold opening, and calculating the filling speed Vn (%) of each injection molding stage according to the injection end point position Ln of each injection molding stage, the fitting result of the relative injection speed and the injection volume of the screw speed curve, the screw diameter of the selected injection molding machine and the maximum injection molding speed of the selected injection molding machine.
Step three: according to the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each pouring gate is opened n is opened % and pressure data, calculating the opening position of the pouring gate and pressure maintaining data; bag thereofCalculating the opening position G of each gate n is opened And calculating a percentage P (%) of the selected injection molding machine output packing pressure.
Calculating the opening position G of each gate n is opened The method comprises the following steps: the product is switched to a debugging metering position L, V/P switching position alpha of the selected injection molding machine and the filling volume percentage G when each gate is opened n is opened % of area in each gate opening position G n is opened To obtain the opening position G of each gate n is opened 。
The method for calculating the percentage P (%) of the output packing pressure of the selected injection molding machine is as follows: determining the pressure holding pressure P according to the final MOLDFLOW CAE analysis result before mold opening, and calculating the pressure holding pressure P to account for the maximum injection pressure P of the selected injection molding machine max The percentage is the percentage P (%) of the output holding pressure of the injection molding machine.
Step four: and comparing the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final MOLDFLOW CAE analysis result before mold opening.
As shown in FIGS. 2-4, the invention takes the final MOLDFLOW CAE analysis result before opening the mold as the basis, takes the resin material PP-TD10 and the Mitsubishi 3000T injection molding machine as the specific embodiment, and carries out prediction, fine adjustment and correction on the data of the debugging process of the plastic part molding. Importing the CATIA data of the implementation case model into MOLDFLOW software for grid division, grid repair and casting system construction, obtaining a final MOLDFLOW CAE analysis result before mold opening through multi-round analysis, and based on the MOLDFLOW CAE analysis to assist mold design, the method is mature in application in the industry and is not described here, and the specific prediction method comprises the following steps:
s1, determining an implementation case model product (including a sprue) to be 2132g according to a final MOLDFLOW CAE analysis result before mold opening, wherein FIG. 2 is a schematic diagram of a model sprue layout.
S2, selecting a Mitsubishi 3000T injection molding machine as the injection molding machine, and collecting the resin material PP-The product weight G (including a sprue), the metering position L and the buffer amount S of the TD10 produced by a Mitsubishi 3000T injection molding machine can be calculated, and the average gram weight corresponding to the screw position of the material produced by the injection molding machine can be calculated
Mean buffer quantity->
If the material has no practical performance in past use, the calculation can be carried out according to the screw diameter and the melt density of Mitsubishi 3000T, namely
Where ρ is the melt density (g/mm) 3 ) D is the screw diameter (mm), and gamma is the correction coefficient of melt compression. P =0.7787 × 10 for PP-TD10 material in the example case -3 g/mm 3 The diameter D =150mm of a screw of Mitsubishi 3000T, and gamma is influenced by the precision, back pressure and the like of an injection molding machine, and is generally 0.95-1.05.
S3, according to the S1 and the S2, the metering position of the embodiment model during Mitsubishi 3000T injection molding debugging can be calculated
S4, setting the maximum screw speed control section number of the Mitsubishi 3000T injection molding machine to be 6 sections, and fitting the relative injection speed (Flow rate)% and the injection Volume (VOL)% according to a screw speed curve (figure 3) recommended in the final MOLDFLOW CAE analysis result before mold opening, wherein the fitting result is shown in figure 4, and the speed and the injection volume of each section are as follows:
| number of |
1 | 2 | 3 | 4 | 5 | 6 |
| Volume% | 10％ | 11％ | 29％ | 30% | 11％ | 9％ |
| Rate% | 41％ | 77% | 93% | 61％ | 42％ | 27％ |
Assume that the actual injection velocity in the 1 st stage is V 1 In units of cm 3 S, the actual performance injection speed of each segment is
The fitting idea is as follows:
1) When each section of speed curve is fitted, the principle of equal area is followed as much as possible, as shown by the shaded part in fig. 4;
2) To reduce the injection pressure, the following was followed: the first section is low speed, the middle is high speed, and the last section is low speed; the first stage speed is greater than the basic principle of the terminal speed;
3) In order to reduce the injection time and shorten the molding period, the injection volume of the first segment and the last segment is less than or equal to 30 percent.
S5, the V/P switching position is generally 90 to 95 percent of the injection amount (different from the filling volume of the product) of the product
This embodiment takes 93%, the V/P switching position
S6, obtaining the ejection volume of each section according to S4, and obtaining the V/P switching position alpha according to S5 according to a formula L n ＝L-(L-α)*(VOL 1 +VOL 2 ％+……VOL n %) can be calculated for each stage, the injection end point position L can be calculated 1 ＝143、L 2 ＝127、L 3 ＝85、L 4 ＝41、L 5 ＝25、L 6 ＝12。
S7, the injection time is 4.7S in the final MOLDFLOW CAE analysis result before die opening, and the injection time is combined with S4 and S6 according to a formula
Obtaining V from the fitting result of S4 Push n And V Pushing 1 Substituting the above formula into the above formula, the advancing speed of the 1 st section screw can be calculated to be 22.72mm/s.
S8, the screw diameter D =150mm, so that the 1 st section actual performance injection speed is 401.3cm 3 Maximum injection rate 2030cm of Mitsubishi 3000T injection molding machine 3 S, so that the speed percentage V of the 1 st section can be calculated 1 (%) =20%, and V can be calculated from S4 2 (％)＝38％、V 3 (％)＝45％、V 4 (％)＝30％、V 5 (％)＝21％、V 6 (％)＝13％。
S9, reading the filling volume percentage G when each pouring gate is opened in the MODFLOW CAE analysis log n is opened %, in combination with formula G n is opened ＝L-(L-α)*G n is opened % each gate open position was obtained as shown in the following table.
S10, in the final MODFLOW CAE analysis log before mold opening, the pressure maintaining pressure of 40Mpa can be read, the pressure maintaining time T is 10S, the maximum injection pressure of a Mitsubishi 3000T injection molding machine is 166.7Mpa, and the pressure maintaining pressure of the actual performance can be obtained
S11, the parameters of a Mitsubishi 3000T injection molding machine are as follows: the maximum mold locking force is 3000T, the maximum injection pressure is 166.7Mpa, and the maximum injection speed is 2030cm 3 The parameters are entered in the MOLDFLOW as,/s, screw diameter 150mm, maximum injection stroke 750 mm.
S12, selecting an absolute screw speed curve →% maximum screw speed and a screw position in the filling control in the process setting, selecting% maximum injection molding machine pressure and time in the pressure maintaining control, and obtaining the metering position L and the filling speed V of each injection stage from S3-S10 n (%), injection end point position L of each stage n V/P switching position alpha and gate opening position G n is opened The pressure holding pressure P (%) and the pressure holding time t are inputted into the MLDFLOW, and the model flow CAE analysis is performed.
And S13, comparing analysis results such as weld line positions and trapped air obtained by the mold flow analysis with the filling state of each gate when opened and the final MOLDFLOW CAE analysis result before mold opening, and finely adjusting parameters from S3 to S10 if the difference exists until the difference accords with the final MOLDFLOW CAE analysis result before mold opening.
The method and the device calculate and predict the injection molding data of the product based on the final MOLDFLOW CAE analysis result before mold opening and the selected injection molding machine, and correct and finely adjust the predicted data based on the final MOLDFLOW CAE analysis result before mold opening.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the structure of the present invention in any way. Any simple modification, equivalent change and modification made to the above embodiments according to the technical spirit of the present invention still fall within the scope of the technical solution of the present invention.
Claims (10)
1. A prediction system for a plastic part forming and debugging process is characterized in that: the device comprises a metering position calculation module (1), an injection stage data module (2), a pouring gate and pressure maintaining data module (3) and a data analysis module (4);
the metering position calculating module (1) is used for calculating a debugging metering position L of a product on a selected injection molding machine;
the injection stage data module (2) is used for calculating injection stage data according to the debugging metering position L and the screw speed curve of the product in the selected injection molding machine;
the sprue and pressure maintaining data module (3) is used for adjusting the metering position L of the product in the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each sprue is opened n is opened % and pressure data, calculating the opening position of the pouring gate and pressure maintaining data;
the data analysis module (4) is used for comparing the debugging and metering position L, the injection molding stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine with the final MOLDFLOWCAE analysis result before mold opening, so that the debugging and metering position L, the injection molding stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final MOLDFLOWCAE analysis result before mold opening.
2. The plastic part molding debugging process prediction system of claim 1, wherein: the injection molding stage data includes a filling speed Vn (%) of each injection molding stage, an injection end position Ln and a V/P switching position alpha of each injection molding stage.
3. The plastic part molding debugging process prediction system of claim 2, wherein: the pressure data comprises a dwell pressure P and a dwell time t; the gate opening position and pressure maintaining data include gate opening positions G n is opened And the percentage P (%) of the dwell pressure output by the selected injection molding machine.
4. A prediction method for a plastic part forming debugging process is characterized by comprising the following steps: calculating the debugging metering position L of the product in the selected injection molding machine;
calculating injection molding stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve;
according to the debugging and metering position L of the product on the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each sprue is opened n is opened % and pressure data, calculating the opening position of the pouring gate and pressure maintaining data;
and comparing the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine with the final MOLDFLOWCAE analysis result before mold opening, so that the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final MOLDFLOWCAE analysis result before mold opening.
5. The plastic part molding debugging process prediction method of claim 4, wherein: the method for calculating the debugging metering position L of the product on the selected injection molding machine comprises the following steps: determining the weight G of the product according to the final MOLDFLOWCAE analysis result before opening the die; collecting the weight, the debugging metering position and the buffer amount of the finished product with the sprue, which is made of the same material as the product and is injected by the selected injection molding machine, and calculating the average unit gram weight of the selected injection molding machine when the product with the same material as the product is produced
And an average buffer quantity->
The weight G of the product, the average unit gram weight of the selected injection molding machine when producing products of the same material as the product, is selected>
And an average buffer quantity->
And (4) bringing the calculation formula of the debugging metering position L into the calculation formula to obtain the debugging metering position L of the product in the selected injection molding machine.
6. The plastic part molding debugging process prediction method of claim 5, wherein: the step of calculating the injection molding stage data according to the debugging metering position L and the screw speed curve of the product in the selected injection molding machine comprises the following steps: calculating a V/P switching position alpha, calculating an injection end point position Ln of each injection molding stage and calculating a filling speed Vn (%) of each injection molding stage.
7. The plastic part molding debugging process prediction method of claim 6, wherein: the method for calculating the V/P switching position alpha comprises the following steps: selecting the injection amount of the product, and determining the weight G of the product and the average unit gram weight of the selected injection molding machine when the product is produced by the same material as the product
And an average buffer quantity->
Substituting a calculation formula of the V/P switching position alpha to obtain the V/P switching position alpha;
the method for calculating the injection end point position Ln of each injection molding stage comprises the following steps: fitting the relative injection speed and the injection volume of the screw speed curve according to the selected maximum screw speed control section number of the injection molding machine, and bringing the fitting result of the relative injection speed and the injection volume of the product in the debugging metering position L, the V/P switching position alpha and the screw speed curve of the selected injection molding machine into a calculation formula of the injection end position Ln of each injection molding stage to obtain the injection end position Ln of each injection molding stage;
the method for calculating the filling speed Vn (%) of each injection molding stage comprises the following steps: and determining injection molding time according to the final MOLDFLOWCAE analysis result before mold opening, and calculating the filling speed Vn (%) of each injection molding stage according to the injection end point position Ln of each injection molding stage, the fitting result of the relative injection speed and the injection volume of the screw speed curve, the screw diameter of the selected injection molding machine and the maximum injection molding speed of the selected injection molding machine.
8. The plastic part molding debugging process prediction method of claim 7, wherein: according to the debugging and metering position L of the product on the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each sprue is opened n is opened % and pressure data, calculating gate open position and holding pressure data including calculating gate open position G n is opened And calculating a percentage P (%) of the selected injection molding machine output packing pressure.
9. The method of claim 8, wherein the step of predicting a plastic part formation tuning process comprises: calculating each gate opening position G n is opened The method comprises the following steps: filling the product with volume percentage G at the debugging metering position L, the V/P switching position alpha and each sprue opening of the selected injection molding machine n is opened % of area in each gate opening position G n is opened Obtaining the opening position G of each gate n is opened ；
The method for calculating the percentage P (%) of the output packing pressure of the selected injection molding machine comprises the following steps: determining a pressure holding pressure P according to the final MOLDFLOWCAE analysis result before mold opening, and calculating the pressure holding pressure P to account for the maximum injection pressure P of the selected injection molding machine max Is the output holding pressure of the injection molding machinePercentage P (%).
10. The plastic part molding debugging process prediction method of claim 9, wherein: the method comprises the following steps:
the method comprises the following steps: calculating the debugging metering position L of the product in the selected injection molding machine;
step two: calculating injection molding stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve;
step three: according to the debugging and metering position L of the product on the selected injection molding machine, the injection molding stage data and the filling volume percentage G when each sprue is opened n is opened % and pressure data, calculating the opening position of the pouring gate and pressure maintaining data;
step four: and comparing the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging and metering position L, the injection stage data, the sprue opening position and the pressure maintaining data of the product on the selected injection molding machine are the same as the final MOLDFLOW CAE analysis result before mold opening.
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| CN202211694185.1A Pending CN115891078A (en) | 2022-12-28 | 2022-12-28 | Prediction system and prediction method for plastic part forming and debugging process |
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| CN (1) | CN115891078A (en) |
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