A plastic part forming debugging process prediction system and prediction method

Abstract

The present invention discloses a plastic part molding debugging process prediction system and a prediction method, including a metering position calculation module, an injection stage data module, a gate and holding pressure data module, and a data analysis module. The present invention calculates and predicts 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 corrects and fine-tunes the predicted data based on the final MOLDFLOW CAE analysis result before mold opening. The process parameters obtained through the prediction system and method designed by the present invention can be directly used for the actual debugging of product injection molding, greatly reducing the debugging cost and shortening the debugging time.

Description

Technical Field

[0001] The present invention relates to the technical field of injection molding processes, and specifically refers to a prediction system and method for plastic part molding debugging processes. Background Art

[0002] Plastics have a wide range of applications in various industries due to their strong processability, light weight, and the ability to meet different performance requirements through modification. Injection molding is a method of injecting molten resin material into a mold cavity at a certain speed, pressure, and temperature, and obtaining a product after cooling and solidification. Process parameters such as the injection speed curve, gate opening and closing time, and holding pressure curve determine the appearance quality of the product. Before the mold is accepted, debugging is carried out at the mold manufacturer. Generally, relatively reasonable process parameters need to be obtained through multiple process adjustments. After the mold is shipped to the parts mass production factory, due to changes in the injection molding machine, debugging needs to be restarted. In order to obtain reasonable process parameters, multiple debuggings are also required. How to quickly and reasonably propose process parameters to match different injection molding machines is an important factor affecting the debugging efficiency.

[0003] The existing technology mainly involves debugging by process personnel. The method for determining process parameters is as follows: referring to the process parameters of past similar projects, the process personnel make process adjustments and optimizations based on experience. If the shape of the new product is significantly different, multiple schemes need to be designed for verification, and the relatively better scheme is selected. Based on this, process optimization is carried out. It can be seen that although the existing technology can ultimately obtain reasonable process parameters and be successfully put into production, multiple debuggings and effect confirmations are required. The experience of the process personnel largely determines the product quality and debugging efficiency. Therefore, there are generally disadvantages such as high costs (materials, energy, labor) and long time cycles, which are of very limited help for the rapid and efficient production of molds. Summary of the Invention

[0004] The purpose of the present invention is to solve the deficiencies of the above background art, and provide a prediction system and method for plastic part molding debugging processes that can greatly reduce debugging costs and greatly increase debugging efficiency.

[0005] To achieve this purpose, the plastic part molding debugging process prediction system designed by the present invention includes a metering position calculation module, an injection stage data module, a gate and holding pressure data module, and a data analysis module;

[0006] The metering position calculation module is used to calculate the debugging metering position L of the product on the selected injection molding machine;

[0007] The injection stage data module is used to calculate injection stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve;

[0008] The gate and holding pressure data module is used to calculate the gate opening position and holding pressure data according to the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the filling volume percentage G n开 %, and the pressure data when each gate is opened;

[0009] The data analysis module is used to compare the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the gate opening position and the holding pressure data with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the gate opening position and the holding pressure data are the same as the final MOLDFLOW CAE analysis result before mold opening.

[0010] Further, the injection molding stage data includes the filling speed Vn (%) at each stage of injection molding, the injection end position Ln at each stage of injection molding, and the V / P switching position α.

[0011] Further, the pressure data includes the holding pressure P and the holding time t; the gate opening position and the holding pressure data include the opening position G of each gate n开 and the percentage P (%) of the holding pressure output by the selected injection molding machine.

[0012] Specifically, a prediction method for the debugging process of plastic part molding includes calculating the debugging metering position L of the product on the selected injection molding machine;

[0013] According to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve, calculate the injection molding stage data;

[0014] According to the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the filling volume percentage G when each gate is opened n开 %, and the pressure data, calculate the gate opening position and the holding pressure data;

[0015] Compare the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the gate opening position and the holding pressure data with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the gate opening position and the holding pressure data are the same as the final MOLDFLOW CAE analysis result before mold opening.

[0016] Further, the method for determining the debugging metering position L of the selected injection molding machine for the computing product is as follows: Determine the weight G of the product according to the final MOLDFLOW CAE analysis result before mold opening; Collect the weights of the finished products with gates made of the same material as the product, the debugging metering positions, and the cushion amounts during past injection molding of the selected injection molding machine, and calculate the average unit weight per gram when the selected injection molding machine produces products made of the same material as the product and the average cushion amount Substitute the weight G of the product, the average unit weight per gram when the selected injection molding machine produces products made of the same material as the product and the average cushion amount into the calculation formula for the debugging metering position L to obtain the debugging metering position L of the product on the selected injection molding machine. The calculation formula for the debugging metering position L is

[0017] Further, calculating the injection molding stage data based on the debugging metering position L of the product on the selected injection molding machine and the screw speed curve includes: calculating the V / P switching position α, calculating the injection end positions Ln of each injection molding stage, and calculating the filling speeds Vn(%) of each injection molding stage

[0018] Further, the method for calculating the V / P switching position α is as follows: Select the injection volume of the product, and substitute the weight G of the product, the average unit weight per gram when the selected injection molding machine produces products made of the same material as the product and the average cushion amount into the calculation formula for the V / P switching position α to obtain the V / P switching position α. The calculation formula for the V / P switching position α is

[0019] Further, the method for calculating the injection end positions Ln of each injection molding stage is as follows: Perform relative injection speed and injection volume fitting on the screw speed curve according to the maximum number of screw speed control segments of the selected injection molding machine, and substitute the debugging metering position L of the product on the selected injection molding machine, the V / P switching position α, and the fitting results of relative injection speed and injection volume of the screw speed curve into the calculation formula for the injection end positions Ln of each injection molding stage to obtain the injection end positions Ln of each injection molding stage. The calculation formula for the injection end positions Ln of each injection molding stage is L n = L - (L - α) * (VOL1 + VOL2% + …… VOL n %).

[0020] Further, the method for calculating the filling speed Vn(%) at each injection molding stage is as follows: Determine the injection time according to the final MOLDFLOW CAE analysis result before mold opening. Calculate the filling speed Vn(%) at each injection molding stage based on the injection end position Ln at each injection molding stage, the fitting result of the relative injection speed and injection volume according to the screw speed curve, the screw diameter of the selected injection molding machine, and the maximum injection rate of the selected injection molding machine.

[0021] Further, 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 n开 % and pressure data, calculating the gate opening position and holding pressure data includes calculating the gate opening position G n开 and calculating the percentage P(%) of the holding pressure output by the selected injection molding machine.

[0022] Further, the method for calculating the gate opening position G n开 is as follows: Substitute the debugging metering position L of the product on the selected injection molding machine, the V / P switching position α, and the filling volume percentage G n开 % when each gate opens into the calculation formula of the gate opening position G n开 to obtain the gate opening position G n开 , and the calculation formula of the gate opening position G n开 is G n开 = L - (L - α) * G n开 %.

[0023] Furthermore, the method for calculating the percentage P(%) of the holding pressure output by the selected injection molding machine is as follows: Determine the holding pressure P according to the final MOLDFLOW CAE analysis result before mold opening, and calculate the percentage of the holding pressure P in the maximum injection pressure P max of the selected injection molding machine. This percentage is the percentage P(%) of the holding pressure output by the injection molding machine.

[0024] Still further, the plastic part molding debugging process prediction method includes the following steps:

[0025] Step 1: Calculate the debugging metering position L of the product on the selected injection molding machine;

[0026] Step 2: Calculate the 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;

[0027] Step 3: Calculate the gate opening position and holding pressure data according to the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the filling volume percentage G n开 % when each gate opens and the pressure data;

[0028] Step 4: Compare the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position, and the holding pressure data with the final MOLDFLOW CAE analysis results before mold opening, so that the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position, and the holding pressure data are the same as the final MOLDFLOW CAE analysis results before mold opening.

[0029] The beneficial effects of the present invention are as follows: Based on the final MOLDFLOW CAE analysis results before mold opening and the selected injection molding machine, the injection data of the product are calculated and predicted, and the predicted data are corrected and fine-tuned based on the final MOLDFLOW CAE analysis results before mold opening. The process parameters obtained by the prediction system and method designed by the present invention can be directly used for the actual debugging of product injection molding, greatly reducing the debugging cost and shortening the debugging time. Description of the Drawings

[0030] Figure 1 It is a module connection diagram of the plastic part forming debugging process prediction system in the present invention;

[0031] Figure 2 It is a schematic diagram of the gate layout of the product in the embodiment of the present invention;

[0032] Figure 3 It is a schematic diagram of the screw speed curve in the embodiment of the present invention;

[0033] Figure 4 It is a fitting schematic diagram of the screw speed curve in the embodiment of the present invention;

[0034] Among them, 1 - metering position calculation module, 2 - injection stage data module, 3 - gate and holding pressure data module, 4 - data analysis module. Detailed Embodiment

[0035] The present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0036] As Figure 1 shown, the plastic part forming debugging process prediction system includes a metering position calculation module 1, an injection stage data module 2, a gate and holding pressure data module 3, and a data analysis module 4.

[0037] The metering position calculation module 1 is used to calculate the debugging metering position L of the product on the selected injection molding machine.

[0038] The injection stage data module 2 is used to calculate injection stage data according to the debugging metering position L and screw speed curve of the product on the selected injection molding machine; the injection stage data includes the filling speed Vn(%) at each injection stage, the injection end position Ln at each injection stage, and the V / P switching position α.

[0039] The gate and holding pressure data module 3 is used to calculate the gate opening position and holding pressure data according to the debugging metering position L of the product on the selected injection molding machine, the injection stage data, and the filling volume percentage G when each gate opens n开 %, and the pressure data; the pressure data includes the holding pressure P and the holding time t; the gate opening position and holding pressure data include the gate opening position G n开 and the percentage P(%) of the holding pressure output by the selected injection molding machine.

[0040] The data analysis module 4 is used to compare the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position and holding pressure data with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position and holding pressure data are the same as the final MOLDFLOW CAE analysis result before mold opening.

[0041] The prediction method based on the above plastic part forming debugging process prediction system is as follows:

[0042] Step 1: Calculate the debugging metering position L of the product on the selected injection molding machine; the method is: determine the weight G of the product according to the final MOLDFLOW CAE analysis result before mold opening; collect the weights of the finished products with gates made of the same material as the product, the debugging metering positions, and the buffer amounts during the past injection molding of the selected injection molding machine, and calculate the average unit weight and the average buffer amount of the selected injection molding machine when producing products made of the same material as the product

[0043] Substitute the weight G of the product, the average unit weight and the average buffer amount of the selected injection molding machine when producing products made of the same material as the product into the calculation formula of the debugging metering position L to obtain the debugging metering position L of the product on the selected injection molding machine.

[0044] Step 2: Calculate the 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 injection stage data includes: (1) the V / P switching position α, (2) the injection end position Ln at each injection stage, and (3) the filling speed Vn(%) at each injection stage.

[0045] The method for calculating the V / P switching position α is as follows: Select the injection volume of the product, and use the weight G of the product and the average unit weight per gram of the selected injection molding machine when producing products of the same material as the product and the average cushion volume Substitute them into the calculation formula of the V / P switching position α to obtain the V / P switching position α;

[0046] The method for calculating the injection end position Ln of each injection molding stage is as follows: Fit the relative injection speed and injection volume of the screw speed curve according to the maximum screw speed control segments of the selected injection molding machine. Substitute the debugging metering position L of the product on the selected injection molding machine, the V / P switching position α, and the fitting results of the relative injection speed and injection volume of the screw speed curve into the 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;

[0047] The method for calculating the filling speed Vn(%) of each injection molding stage is as follows: Determine the injection time according to the final MOLDFLOW CAE analysis result before mold opening. Calculate the filling speed Vn(%) of each injection molding stage based on the injection end position Ln of each injection molding stage, the fitting results of the relative injection speed and injection volume of the screw speed curve, the screw diameter of the selected injection molding machine, and the maximum injection rate of the selected injection molding machine.

[0048] Step 3: Calculate the gate opening position and holding pressure data according to the debugging metering position L of the product on the selected injection molding machine, the injection molding stage data, the filling volume percentage G n开 % and the pressure data of each gate opening; it includes calculating the opening position G of each gate n开 and calculating the percentage P(%) of the holding pressure output by the selected injection molding machine.

[0049] The method for calculating the opening position G of each gate n开 is as follows: Substitute the debugging metering position L of the product on the selected injection molding machine, the V / P switching position α, and the filling volume percentage G n开 % of each gate opening into the calculation formula of the opening position G of each gate n开 to obtain the opening position G of each gate n开 .

[0050] The method for calculating the percentage P(%) of the holding pressure output by the selected injection molding machine is as follows: Determine the holding pressure P according to the final MOLDFLOW CAE analysis result before mold opening, and calculate the percentage of the holding pressure P in the maximum injection pressure P max of the selected injection molding machine. This percentage is the percentage P(%) of the holding pressure output by the injection molding machine.

[0051] Step 4: Compare the debugging metering position L, injection molding stage data, gate opening position, and holding pressure data of the product on the selected injection molding machine with the final MOLDFLOW CAE analysis results before mold opening, so that the debugging metering position L, injection molding stage data, gate opening position, and holding pressure data of the product on the selected injection molding machine are the same as the final MOLDFLOW CAE analysis results before mold opening.

[0052] As Figure 2 —4 shows, based on the final MOLDFLOW CAE analysis results before mold opening, taking the resin material PP-TD10 and the Mitsubishi 3000T injection molding machine as specific examples, this invention predicts the plastic part molding debugging process, fine-tunes and corrects the data of the debugging process. Import the CATIA data of the implementation case model into the MOLDFLOW software for mesh generation, mesh repair, and gating system construction. Through multiple rounds of analysis, the final MOLDFLOW CAE analysis results before mold opening can be obtained. The auxiliary mold design based on the MOLDFLOW CAE analysis has been maturely applied in the industry and will not be elaborated here. The steps of the specific prediction method are as follows:

[0053] S1. According to the final MOLDFLOW CAE analysis results before mold opening, determine that the weight of the product (including the gate) of the implementation case model is 2132g. Figure 2 It is a schematic diagram of the gate layout of the model.

[0054] S2. The selected injection molding machine is the Mitsubishi 3000T injection molding machine. Collect the product weight G (including the gate), metering position L, and cushion amount S of the resin material PP-TD10 when it is produced by the Mitsubishi 3000T injection molding machine. The average gram weight corresponding to the screw position during the production of this material on this injection molding machine can be calculated. Average cushion amount

[0055]

[0056] If there is no past usage record of this material, it can be calculated according to the screw diameter and melt density of the Mitsubishi 3000T, that is where ρ is the melt density (g / mm 3 ), D is the screw diameter (mm), and γ is the correction coefficient for melt compression. In the implementation case, for the PP-TD10 material, ρ = 0.7787 * 10 -3 g / mm 3 , the screw diameter D of the Mitsubishi 3000T is 150mm, and γ is affected by the injection molding machine accuracy, back pressure, etc., and generally takes 0.95 - 1.05.

[0057] S3. According to S1 and S2, it can be calculated that during the Mitsubishi 3000T injection molding debugging of the implementation case model, the metering position

[0058] S4. For the Mitsubishi 3000T injection molding machine, the maximum number of control segments for the screw speed is 6 segments. According to the recommended screw speed curve ( Figure 3 ) in the final MOLDFLOW CAE analysis result before mold opening, the relative injection speed (Flow rater) % and injection volume (VOL) % are fitted. The fitting results are as Figure 4 shown. The speed and injection volume of each segment are as follows:

[0059] Number of screw sections 1 2 3 4 5 6 Volume % 10％ 11％ 29％ 30% 11％ 9％ Rate % 41％ 77% 93% 61％ 42％ 27％

[0060] Assume that the actual injection speed of the first segment is V1, with the unit of cm 3 / s. Then the actual injection speed of each segment is

[0061] The fitting idea is as follows:

[0062] 1) When fitting the speed curve of each segment, try to follow the principle of equal area, as shown by the Figure 4 shaded part;

[0063] 2) To reduce the injection pressure, follow the basic principles: low speed at the first segment, high speed in the middle, and low speed at the last segment; the speed of the first segment > the speed of the last segment;

[0064] 3) To reduce the injection time and shorten the molding cycle, the injection volume of the first segment + the last segment ≤ 30%.

[0065] S5. The V / P switching position is generally 90% - 95% of the product injection volume (different from the product filling volume)

[0066] In this embodiment, 93% is taken as the V / P switching position

[0067] S6. According to the injection volume of each segment obtained from S4 and the V / P switching position α obtained from S5, according to the formula L n = L - (L - α) * (VOL1 + VOL2% +... VOL n %), the injection end position of each segment can be calculated as L1 = 143, L2 = 127, L3 = 85, L4 = 41, L5 = 25, L6 = 12.

[0068] S7. The injection time in the final MOLDFLOW CAE analysis result before mold opening is 4.7 s. Combining S4 and S6, according to the formula Through the fitting result of S4, the ratio relationship between V 推n and V 推1 is obtained and substituted into the above formula, and the screw propulsion speed of the first segment can be calculated as 22.72 mm / s.

[0069] S8. Since the screw diameter D = 150 mm, the actual injection speed of the first stage is 401.3 cm 3 / s, and the maximum injection rate of the Mitsubishi 3000T injection molding machine is 2030 cm 3 / s. Therefore, the speed percentage V1(%) of the first stage can be calculated as 20%. According to S4, V2(%) = 38%, V3(%) = 45%, V4(%) = 30%, V5(%) = 21%, and V6(%) = 13% can be calculated.

[0070] S9. Read the filling volume percentage G when each gate opens in the MODFLOW CAE analysis log n开 %, and combine the formula G n开 = L - (L - α)*G n开 %, and the opening positions of each gate can be obtained as shown in the following table.

[0071]

[0072] S10. In the final MODFLOW CAE analysis log before mold opening, the holding pressure of 40 Mpa and the holding time t of 10 s can be read. The maximum injection pressure of the Mitsubishi 3000T injection molding machine is 166.7 Mpa, and the actual holding pressure can be obtained

[0073] S11. The parameters of the Mitsubishi 3000T injection molding machine are as follows: the maximum clamping force is 3000T, the maximum injection pressure is 166.7 Mpa, the maximum injection rate is 2030 cm 3 / s, the screw diameter is 150 mm, and the maximum injection stroke is 750 mm. Input the above parameters into MOLDFLOW.

[0074] S12. In the filling control of the process settings, select the absolute screw speed curve → % maximum screw speed and screw position. In the holding pressure control, select % maximum injection molding machine pressure and time. Input the metering position L, the filling speed V n (%) of each injection stage, the ejection end position L n of each stage, the V / P switching position α, the gate opening position G n开 , the holding pressure P(%) and the holding time t obtained from S3 to S10 into MLDFLOW for mold flow CAE analysis.

[0075] S13. Compare the weld line position, air entrapment and other analysis results obtained from the above mold flow analysis, and combine the filling state when each gate opens with the final MOLDFLOW CAE analysis results before mold opening. If there are differences, fine-tune the parameters from S3 to S10 until they are consistent with the final MOLDFLOW CAE analysis results before mold opening.

[0076] Based on the final MOLDFLOW CAE analysis results before mold opening and the selected injection molding machine, the present invention calculates and predicts the injection molding data of the product, and modifies and fine-tunes the predicted data based on the final MOLDFLOW CAE analysis results before mold opening. The process parameters obtained by the prediction system and method designed by the present invention can be directly used for the actual debugging of product injection molding, greatly reducing the debugging cost and shortening the debugging time.

[0077] The above are only the preferred embodiments of the present invention, and do not impose any formal restrictions on the structure of the present invention. Any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A prediction system for plastic part molding debugging process, characterized in that: It includes a metering position calculation module (1), an injection stage data module (2), a gate and holding pressure data module (3), and a data analysis module (4); The metering position calculation module (1) is used to calculate the debugging metering position L of the product on the selected injection molding machine; The injection stage data module (2) is used to calculate 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 gate and holding pressure data module (3) is used to calculate the gate opening position and holding pressure data according to the debugging metering position L of the selected injection molding machine for the product, the injection molding stage data, the filling volume percentage G n开 %, and the pressure data; The data analysis module (4) is used to compare the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position and the holding pressure data with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position and the holding pressure data are the same as the final MOLDFLOW CAE analysis result before mold opening.

2. The plastic part forming debugging process prediction system according to claim 1, characterized in that: The injection stage data includes the filling speed Vn (%) at each injection stage, the injection end position Ln at each injection stage, and the V / P switching position α.

3. The plastic part forming debugging process prediction system according to claim 2, characterized in that: The pressure data includes the holding pressure P and the holding time t; the gate opening position and the holding pressure data include the gate opening positions G n开 and the percentage P(%) of the holding pressure output by the selected injection molding machine.

4. A prediction method for plastic part molding debugging process, characterized in that: Calculate the debugging metering position L of the product on the selected injection molding machine; Calculate injection stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve; Based on the commissioning metering position L of the selected injection molding machine for the product, the injection molding stage data, and the filling volume percentage G n开 % and pressure data, calculate the gate opening position and the pressure holding data; Compare the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position and the holding pressure data with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging metering position L of the product on the selected injection molding machine, the injection stage data, the gate opening position and the holding pressure data are the same as the final MOLDFLOW CAE analysis result before mold opening.

5. The plastic part forming debugging process prediction method according to claim 4, characterized in that: The method for calculating the commissioning metering position L of the product on the selected injection molding machine is as follows: Determine the weight G of the product according to the final MOLDFLOW CAE analysis result before mold opening; Collect the weights, commissioning metering positions, and cushion amounts of the finished products with gates made of the same material as the product in the past injection molding of the selected injection molding machine, and calculate the average unit weight per gram when the selected injection molding machine produces products made of the same material as the product and the average cushion amount Substitute the weight G of the product, the average unit weight per gram when the selected injection molding machine produces products made of the same material as the product and the average cushion amount into the calculation formula for the commissioning metering position L to obtain the commissioning metering position L of the product on the selected injection molding machine.

6. The plastic part molding debugging process prediction method according to claim 5, characterized in that: Calculating the injection stage data according to the debugging metering position L of the product on the selected injection molding machine and the screw speed curve includes: calculating the V / P switching position α, calculating the injection end position Ln at each injection stage, and calculating the filling speed Vn (%) at each injection stage.

7. The plastic part forming debugging process prediction method according to claim 6, characterized in that: The method for calculating the V / P switching position α is as follows: Select the injection volume of the product, and substitute the weight G of the product, the average unit weight of the selected injection molding machine when producing products of the same material as the product and the average cushioning volume into the calculation formula of the V / P switching position α to obtain the V / P switching position α; The method for calculating the injection end position Ln at each injection stage is: fitting the relative injection speed and injection volume of the screw speed curve according to the maximum screw speed control segments of the selected injection molding machine, and substituting the fitting results of the relative injection speed and injection volume of the debugging metering position L of the product on the selected injection molding machine, the V / P switching position α and the screw speed curve into the calculation formula of the injection end position Ln at each injection stage to obtain the injection end position Ln at each injection stage; The method for calculating the filling speed Vn (%) at each injection stage is: determining the injection time according to the final MOLDFLOW CAE analysis result before mold opening, and calculating the filling speed Vn (%) at each injection stage according to the injection end position Ln at each injection stage, the fitting results of the relative injection speed and injection volume of the screw speed curve, the screw diameter of the selected injection molding machine, and the maximum injection rate of the selected injection molding machine.

8. The plastic part molding debugging process prediction method according to claim 7, characterized in that: Based on the debugging measurement position L of the selected injection molding machine for the product, the injection molding stage data, and the filling volume percentage G n开 % and pressure data when each gate opens, calculating the gate opening position and the holding pressure data includes calculating the opening position G n开 of each gate and calculating the percentage P (%) of the holding pressure output by the selected injection molding machine.

9. The plastic part molding debugging process prediction method according to claim 8, characterized in that: The method for calculating the opening position G of each gate n开 is as follows: bringing the debugging metering position L of the selected injection molding machine for the product, the V / P switching position α, and the filling volume percentage G n开 % when each gate opens into the calculation formula for the opening position G n开 of each gate to obtain the opening position G n开 ; The method for calculating the percentage P(%) of the output holding pressure of the selected injection molding machine is as follows: Determine the holding pressure P according to the final MOLDFLOW CAE analysis result before mold opening, and calculate the percentage of the holding pressure P in the maximum injection pressure P max of the selected injection molding machine. This percentage is the percentage P(%) of the output holding pressure of the injection molding machine.

10. The plastic part molding debugging process prediction method according to claim 9, characterized in that: It includes the following steps: Step 1: Calculate the debugging metering position L of the product on the selected injection molding machine; Step 2: Calculate the injection stage data according to the debugging metering position L and the screw speed curve of the selected injection molding machine for the product; Step 3: Calculate the gate opening position and the pressure holding data based on the debugging metering position L of the selected injection molding machine for the product, the injection stage data, and the filling volume percentage G n开 % and the pressure data when each gate opens; Step 4: Compare the debugging metering position L of the selected injection molding machine for the product, the injection stage data, the gate opening position, and the holding pressure data with the final MOLDFLOW CAE analysis result before mold opening, so that the debugging metering position L of the selected injection molding machine for the product, the injection stage data, the gate opening position, and the holding pressure data are the same as the final MOLDFLOW CAE analysis result before mold opening.

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