A Mold Flow Analysis Method and System for a Plastic Mold

Abstract

The present invention belongs to the technical field of material forming and die design. The present invention provides a mold flow analysis method and system for a plastic mold, including: performing N times of mold flow analysis tests on the plastic mold to obtain melt filling data, processing and analyzing the melt filling data to obtain a filling completion value, comparing the filling completion value with a filling completion threshold to generate an analysis signal, obtaining monitoring data during melt filling, processing and analyzing the monitoring data to obtain a filling performance value, comparing the filling performance value with a filling performance threshold to generate an adjustment signal, based on the adjustment signal, processing the melt filling time and the injection pressure value to obtain a filling influence variance, comparing the filling influence variance with a filling influence variance threshold. If the filling influence variance is less than the filling influence variance threshold, it indicates that the abnormal injection pressure value is the reason for insufficient melt filling. According to the analysis of the filling influence ratio and the melt filling time, an injection pressure adjustment value is obtained.

Description

Technical Field

[0001] The invention belongs to the technical field of material forming and mold design, in particular to a mold flow analysis method and system for a plastic mold. Background Art

[0002] Moldflow Analysis uses numerical simulation technology to predict possible problems that may occur during the molding process of plastic products and optimize mold design and molding process parameters. However, the existing moldflow analysis methods still have certain limitations and shortcomings when dealing with complex mold design and analysis, such as uneven melt filling, improper mold temperature control, product shrinkage and warping. Therefore, it is necessary to develop a more efficient and accurate plastic mold moldflow analysis method and system.

[0003] In the traditional mold flow analysis process, troubleshooting for insufficient melt filling requires multiple adjustments to production parameters and tests, which consumes a lot of manpower and time. At the same time, the traditional mold flow analysis process cannot accurately identify and locate the problem, and cannot improve the efficiency of problem solving. At the same time, there is a lack of real-time monitoring and analysis of the injection pressure value during the injection molding process, and the injection pressure value cannot be adjusted in time to improve the melt filling effect, which cannot improve the production efficiency of plastic molds and the product qualification rate.

[0004] To this end, the present invention provides a mold flow analysis method and system for a plastic mold. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: performing N times of mold flow analysis tests on the plastic mold to obtain melt filling data, and based on processing and analyzing the melt filling data, obtaining the average deviation ratio of the melt filling speed and the melt filling time performance value;

[0007] The melt filling speed average deviation ratio and the melt filling time performance value are processed to obtain the filling completion value;

[0008] comparing the fill completion value with a fill completion threshold, and generating an analysis signal if the fill completion value is less than the fill completion threshold;

[0009] Based on the analysis signal, the monitoring data during melt filling is obtained, and the detection data includes the injection pressure value of the melt filling in N tests;

[0010] Based on the monitoring data analysis and processing, the ratio of the number of simultaneous abnormalities and the injection characterization value are obtained, and the filling performance value is obtained by analyzing the ratio of the number of simultaneous abnormalities and the injection characterization value;

[0011] Compare the filling performance value with the filling performance threshold. If the filling performance value is less than the filling performance threshold, the abnormal injection pressure value is the cause of insufficient melt filling, and an adjustment signal is generated;

[0012] Based on the fact that abnormal injection pressure value is the cause of insufficient melt filling, the melt filling time and injection pressure value are processed to obtain the filling influence ratio, and the filling influence ratio is processed to obtain the filling influence variance;

[0013] Compare the filling influence variance with the filling influence variance threshold. If the filling influence variance is less than the filling influence variance threshold, it means that the abnormal injection pressure value is the cause of insufficient melt filling.

[0014] Based on the filling impact ratio and melt filling time analysis, the injection pressure adjustment value is obtained.

[0015] As a further technical solution of the present invention, the melt filling speed average deviation ratio PC and the melt filling time performance value SJ are processed, and the formula The filling completion value WC is calculated, where α and γ are both preset proportional coefficients.

[0016] As a further technical solution of the present invention, the method for obtaining the average deviation ratio PC of the melt filling speed is:

[0017] The difference between the melt filling speed and the standard value of the melt filling speed is calculated, and the absolute value is taken to obtain the melt filling speed deviation;

[0018] The melt filling speed deviation is calculated by ratio calculation with the melt filling speed standard value to obtain the melt filling speed deviation ratio;

[0019] The melt filling speed deviation ratios of N tests are summed up and averaged to obtain the melt filling speed average deviation ratio PC.

[0020] As a further technical solution of the present invention, the ratio of the length value of the complete filling curve to the total length of the baseline is calculated, and the complete value of the melt filling time is obtained and marked as WQ;

[0021] The area enclosed by the incomplete filling curve and the baseline is ratioed to the reference area to obtain the incomplete value of the melt filling time, which is marked as FQ;

[0022] The complete value WQ of the melt filling time and the incomplete value FQ of the melt filling time are processed by the formula: The melt filling time performance value SJ is obtained, wherein z1 and z2 are both preset proportional coefficients.

[0023] As a further technical solution of the present invention, the method for obtaining the complete value WQ of the melt filling time and the incomplete value FQ of the melt filling time is:

[0024] An XY coordinate system is established, with the number of filling times (N times) as the X-axis and the melt filling time as the Y-axis. Based on the melt filling time of each time, the melt filling time data points are connected to construct a melt filling time variation curve;

[0025] In the melt filling time variation curve, take the melt filling time standard value as the reference, draw a straight line parallel to the X axis, and name it the reference line;

[0026] The part of the melt filling time variation curve that coincides with or is higher than the baseline is marked as a complete filling curve, the length of the complete filling curve is measured, and the ratio is calculated with the total length of the baseline, and the complete value of the melt filling time is obtained and marked as WQ;

[0027] The part of the melt filling time variation curve below the baseline is marked as an incomplete filling curve;

[0028] The area enclosed by the incomplete filling curve and the baseline is measured and ratioed with the reference area to obtain the incomplete value of the melt filling time, which is marked as FQ.

[0029] As a further technical solution of the present invention, the filling performance value is obtained in the following manner:

[0030] The injection pressure deviation ratio is marked as ZSP, the number of simultaneous abnormal tests is marked as YSL, and the number of simultaneous abnormalities ratio is marked as TS;

[0031] The injection pressure deviation ratio ZSP and the simultaneous abnormal test quantity value YSL are processed and the formula is used to The injection characterization value BZ is calculated, where a1 and a2 are both preset proportional coefficients;

[0032] The filling performance value is obtained by performing ratio processing on the ratio of the number of simultaneous abnormalities TS and the injection characterization value BZ.

[0033] As a further technical solution of the present invention, the method for obtaining the simultaneous abnormality number ratio TS is as follows:

[0034] Establish an XY coordinate system, where the X axis is the melt filling times and the Y axis is the injection pressure value. Mark the injection pressure values ​​of the plastic mold for N filling tests in real time in the XY coordinate system, connect the data points, and obtain the injection pressure value change curve;

[0035] Mark the injection pressure values ​​below the injection pressure standard line in the injection pressure value change curve and record the test times to obtain the abnormal injection test times;

[0036] Count all the test times in the incomplete filling curve and compare them with the abnormal injection test times to obtain the simultaneous abnormal test times;

[0037] The number of simultaneous abnormal tests is compared with the number of all tests in the incomplete filling curve to obtain the simultaneous abnormal number ratio.

[0038] As a further technical solution of the present invention, the injection pressure deviation ratio ZSP and the simultaneous abnormal test quantity value YSL are obtained in the following manner:

[0039] Based on any number of simultaneous abnormal tests;

[0040] Perform difference processing on the injection pressure value and the injection pressure range value, and take the absolute value to obtain the injection pressure difference value, perform ratio processing on the injection pressure difference value and the injection pressure range value to obtain the injection pressure difference ratio, and perform summation and mean processing on all injection pressure difference ratios to obtain the injection pressure deviation ratio;

[0041] In the injection pressure value variation curve, the number of simultaneous abnormal tests is ratioed to the number of abnormal injection tests to obtain the number of simultaneous abnormal tests.

[0042] As a further technical solution of the present invention, the injection pressure adjustment value is obtained by:

[0043] Based on any number of simultaneous abnormal tests;

[0044] Specifically, the melt filling time is subjected to difference processing with the melt filling time standard value to obtain the melt filling time deviation, and the injection pressure value is subjected to difference processing with the injection pressure standard value to obtain the injection pressure deviation;

[0045] The melt filling time deviation and injection pressure deviation are processed by ratio to obtain the filling influence ratio;

[0046] The filling influence ratio is calculated using a mathematical variance formula to obtain the filling influence variance;

[0047] Compare the filling influence variance with the filling influence variance threshold. If the filling influence variance is less than the filling influence variance threshold, the data fluctuation of the filling influence ratio is small, indicating that the abnormal injection pressure value is the cause of insufficient melt filling.

[0048] The melt filling time deviation and filling influence ratio of the simultaneous abnormal test are processed to obtain the injection pressure standard deviation;

[0049] The injection pressure standard deviation and the injection pressure deviation are subjected to difference processing to obtain the injection pressure adjustment value.

[0050] A mold flow analysis system for a plastic mold, comprising:

[0051] Data acquisition module: Establish a 3D model corresponding to the plastic mold to be analyzed, import the 3D model into the mold flow analysis tool and perform mold flow analysis test, and obtain melt filling data based on N mold flow analysis tests, and obtain the melt filling speed average deviation ratio and melt filling time performance value based on processing and analysis of the melt filling data, and process the melt filling speed average deviation ratio and melt filling time performance value to obtain the filling completion value;

[0052] Analysis signal acquisition module: compares the filling completion value with the filling completion threshold, and generates an analysis signal if the filling completion value is less than the filling completion threshold;

[0053] Analysis signal parsing module: based on the analysis signal, the monitoring data during melt filling is obtained, the simultaneous abnormal number ratio and the injection characterization value are obtained based on the monitoring data analysis and processing, the simultaneous abnormal number ratio and the injection characterization value are analyzed to obtain the filling performance value, and the filling performance value is compared with the filling performance threshold. If the filling performance value is less than the filling performance threshold, the abnormal injection pressure value is the cause of insufficient melt filling, and an adjustment signal is generated;

[0054] Adjustment signal analysis module: Based on the fact that the abnormal injection pressure value is the cause of insufficient melt filling, the melt filling time and the injection pressure value are processed to obtain the filling influence ratio, the filling influence ratio is subjected to data processing to obtain the filling influence variance, and the filling influence variance is compared with the filling influence variance threshold. If the filling influence variance is less than the filling influence variance threshold, it means that the abnormal injection pressure value is the cause of insufficient melt filling. According to the filling influence ratio and the melt filling time analysis, the injection pressure adjustment value is obtained. The beneficial effects of the present invention are as follows:

[0055] 1. Perform N mold flow analysis tests on the plastic mold to obtain melt filling data. Based on the processing and analysis of the melt filling data, the melt filling speed average deviation ratio and the melt filling time performance value are obtained. The melt filling speed average deviation ratio and the melt filling time performance value are processed to obtain a filling completion value. The present invention performs N tests on the plastic mold to truly reflect the actual situation of the plastic mold during the melt filling process. By comparing the filling completion value with the filling completion threshold, the problems existing in the melt filling process can be accurately identified and the next step of analysis can be performed.

[0056] 2. Based on the analysis signal, the injection pressure value during melt filling is obtained, the injection pressure value is analyzed and processed to obtain the filling performance value, the filling performance value is compared with the filling performance threshold and a signal is generated. By comparing the filling performance value with the filling performance threshold, the problem can be accurately identified and located, thereby improving the efficiency of problem solving. Based on the fact that the abnormal injection pressure value is the cause of insufficient melt filling, the filling influence ratio is obtained, the filling influence ratio is processed to obtain the filling influence variance, the filling influence variance is compared with the filling influence variance threshold, and the abnormal injection pressure value is analyzed to be the cause of insufficient melt filling. According to the filling influence ratio and the melt filling time analysis, the injection pressure adjustment value is obtained, and the production efficiency of plastic molds is improved by accurately adjusting the injection pressure value, thereby improving the product qualification rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] Figure 1 is a flow chart of the steps of a mold flow analysis method for a plastic mold according to Embodiment 1 of the present invention;

[0059] Figure 2 is a flow chart of the steps of a mold flow analysis method for a plastic mold according to Embodiment 2 of the present invention;

[0060] Figure 3 It is a flowchart of a mold flow analysis system for a plastic mold described in Example 3 of the present invention. DETAILED DESCRIPTION

[0061] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0062] Example 1

[0063] like Figure 1 A mold flow analysis method for a plastic mold according to an embodiment of the present invention includes:

[0064] Step 1: Create a 3D model corresponding to the plastic mold to be analyzed, import the 3D model into the mold flow analysis tool and perform mold flow analysis test, and obtain melt filling data based on N mold flow analysis tests, and obtain the melt filling speed average deviation ratio and melt filling time performance value based on processing and analysis of the melt filling data, and process the melt filling speed average deviation ratio and melt filling time performance value to obtain the filling completion value;

[0065] It needs to be explained that the melt filling data includes melt filling speed and melt filling time;

[0066] Specifically, the difference between the melt filling speed and the standard value of the melt filling speed is calculated, and the absolute value is taken to obtain the melt filling speed deviation;

[0067] It needs to be explained that the standard value of the melt filling speed is set by the technicians in this field through a large amount of historical data of the mold; the melt filling speed deviation reflects the difference between the melt filling speed and the standard value of the melt filling speed when the plastic mold is filled. The smaller the melt filling speed deviation is, that is, the closer the melt filling speed is to the standard value of the melt filling speed, the more perfect the plastic mold filling is.

[0068] The melt filling speed deviation is calculated by ratio calculation with the melt filling speed standard value to obtain the melt filling speed deviation ratio;

[0069] It should be noted that the melt filling speed deviation ratio reflects the ratio of the melt filling speed deviation to the melt filling speed standard value. The larger the melt filling speed deviation ratio, the less filling of the plastic mold or the longer the injection cycle will be.

[0070] The melt filling speed deviation ratios of N tests are summed up and averaged to obtain the melt filling speed average deviation ratio PC;

[0071] It should be noted that the average deviation ratio of melt filling speed reflects the summed average of all melt filling speed deviation ratios in N tests. The larger the average deviation ratio of melt filling speed, the greater the pressure of plastic in the mold, causing damage to the mold or deformation of the injection molded part.

[0072] Specifically, an XY coordinate system is established, wherein the X-axis is the number of filling times (N times), and the Y-axis is the melt filling time, wherein the melt filling time represents the time required for the plastic melt to completely fill the entire cavity from the beginning of entering the mold cavity. Based on each melt filling time, each melt filling time is marked in the XY coordinate system to obtain a number of melt filling time data points, and the melt filling time data points are connected to construct a melt filling time variation curve;

[0073] In the melt filling time variation curve, the standard value of the melt filling time is used as a reference, and it is marked on the Y axis to obtain the marked reference point. A straight line parallel to the X axis is drawn through the reference point and named as the reference line;

[0074] Among them, the horizontal length of the baseline is equal to the horizontal length of the melt filling time variation curve;

[0075] The part of the melt filling time variation curve that coincides with or is higher than the baseline is marked as a complete filling curve, the length of the complete filling curve is measured, and the ratio is calculated with the total length of the baseline, and the complete value of the melt filling time is obtained and marked as WQ;

[0076] The part of the melt filling time variation curve below the baseline is marked as an incomplete filling curve;

[0077] The area enclosed by the incomplete filling curve and the baseline is measured, and the ratio is processed with the reference area to obtain the incomplete value of the melt filling time, which is marked as FQ;

[0078] Among them, the reference area represents the area enclosed between the reference line and the X-axis;

[0079] The obtained melt filling time complete value WQ and melt filling time incomplete value FQ are processed by data, and the formula is: The melt filling time performance value SJ is obtained, wherein z1 and z2 are both preset proportional coefficients;

[0080] The melt filling speed deviation ratio PC and melt filling time performance value SJ are processed and the formula is used to calculate The filling completion value WC is calculated, where α and γ are both preset proportional coefficients;

[0081] It should be noted that the filling completion value WC reflects the quantitative standard between the average deviation ratio PC of the melt filling speed and the average ratio CD of the melt filling time. The filling completion value WC indicates the completion of the plastic mold when it is filled. The larger the filling completion value, the more uniform and complete the plastic mold is filled without voids or bubbles.

[0082] Step 2: Compare the filling completion value with the filling completion threshold, and if the filling completion value is less than the filling completion threshold, generate an analysis signal;

[0083] Compare the filling completion value WC with the filling completion threshold;

[0084] If the filling completion value WC is greater than or equal to the filling completion threshold, no processing is performed;

[0085] If the filling completion value WC is less than the filling completion threshold, an analysis signal is generated;

[0086] It should be noted that the analysis signal reflects that the plastic mold is not filled sufficiently, and the plastic mold needs to be further analyzed to ensure that the plastic mold is filled completely and fully to meet the process standards;

[0087] The technical solution of the embodiment of the present invention is: performing N mold flow analysis tests on the plastic mold to obtain melt filling data, based on processing and analyzing the melt filling data, obtaining the melt filling speed average deviation ratio and the melt filling time performance value, and performing data processing on the melt filling speed average deviation ratio and the melt filling time performance value to obtain a filling completion value. The present invention performs N tests on the plastic mold, which can truly reflect the actual situation of the plastic mold during the melt filling process, and by comparing the filling completion value with the filling completion threshold, it can accurately identify the problems existing in the melt filling process and perform the next step of analysis.

[0088] Example 2

[0089] like Figure 2 As shown, based on Example 1, based on insufficient filling of the plastic mold, since not all tests in the N mold flow analysis tests are abnormal, other possible problems of the mold, raw materials and injection molding machine are excluded, and the injection pressure of the plastic mold is analyzed to determine whether the injection pressure is the cause of insufficient filling of the plastic mold. A mold flow analysis method for a plastic mold according to an embodiment of the present invention includes:

[0090] Step 3: Based on the analysis signal, the monitoring data during melt filling is obtained, and the simultaneous abnormal number ratio and the injection characterization value are obtained based on the monitoring data analysis and processing. The simultaneous abnormal number ratio and the injection characterization value are analyzed to obtain the filling performance value, and the filling performance value is compared with the filling performance threshold. If the filling performance value is less than the filling performance threshold, the abnormal injection pressure value is the cause of insufficient melt filling, and an adjustment signal is generated;

[0091] It needs to be explained that the monitoring data include the injection pressure values ​​of melt filling in N tests;

[0092] The injection pressure value means: the pressure value required when the melt is injected into the mold cavity during the injection molding process;

[0093] The injection pressure value of the plastic mold for N times of filling test is obtained in real time through the pressure sensor, and an XY coordinate system is established, where the X axis is the number of melt fillings and the Y axis is the injection pressure value. The injection pressure value obtained in real time is marked in the XY coordinate system, and the data points are connected to obtain the injection pressure value change curve;

[0094] Mark the injection pressure standard value on the Y axis, draw a straight line parallel to the X axis based on the marked point, and mark the straight line as the injection pressure value standard line;

[0095] It should be noted that the standard value of injection pressure is set by analyzing the size and type of plastic molds, plastic varieties, and injection machine types;

[0096] Mark the injection pressure values ​​below the injection pressure standard line in the injection pressure value change curve and record the test times to obtain the abnormal injection test times;

[0097] Count all the test times in the incomplete filling curve and compare them with the abnormal injection test times to obtain the simultaneous abnormal test times. Specifically, if the test times in the incomplete filling curve are the abnormal injection test times, then the test times are the simultaneous abnormal test times.

[0098] The number of simultaneous abnormal tests is compared with the number of all tests in the incomplete filling curve to obtain the ratio of simultaneous abnormal times;

[0099] Based on any number of simultaneous abnormal tests;

[0100] Perform difference processing on the injection pressure value and the injection pressure range value, and take the absolute value to obtain the injection pressure difference value, perform ratio processing on the injection pressure difference value and the injection pressure range value to obtain the injection pressure difference ratio, and perform summation and mean processing on all injection pressure difference ratios to obtain the injection pressure deviation ratio;

[0101] In the injection pressure value variation curve, the number of simultaneous abnormal tests and the number of abnormal injection tests are processed by ratio, and the number of simultaneous abnormal tests is obtained;

[0102] The injection pressure deviation ratio is marked as ZSP, and the simultaneous abnormal test quantity value is marked as YSL;

[0103] The injection pressure deviation ratio ZSP and the simultaneous abnormal test quantity value YSL are processed and the formula is used to The injection characterization value BZ is calculated, where a1 and a2 are both preset proportional coefficients;

[0104] It should be noted that the injection characterization value BZ reflects the quantitative standard of the reaction degree of the injection pressure during the melt filling process. The larger the injection characterization value BZ is, the stronger the reaction degree of the injection pressure is. On the contrary, the smaller the injection characterization value BZ is, the weaker the reaction degree of the injection pressure is.

[0105] The ratio of simultaneous abnormalities is marked as TS;

[0106] The ratio of the number of simultaneous abnormalities TS and the injection characterization value BZ is processed to obtain the filling performance value;

[0107] The fill performance value is compared with the fill performance threshold. The specific comparison process is as follows:

[0108] If the fill performance value is greater than or equal to the fill performance threshold, no other processing is performed;

[0109] If the filling performance value is less than the filling performance threshold, the abnormal injection pressure value is the cause of insufficient melt filling, and an adjustment signal is generated;

[0110] Step 4: Based on the fact that the abnormal injection pressure value is the cause of insufficient melt filling, the melt filling time and the injection pressure value are processed to obtain the filling influence ratio, the filling influence ratio is subjected to data processing to obtain the filling influence variance, and the filling influence variance is compared with the filling influence variance threshold. If the filling influence variance is less than the filling influence variance threshold, it means that the abnormal injection pressure value is the cause of insufficient melt filling. According to the filling influence ratio and the melt filling time analysis, the injection pressure adjustment value is obtained;

[0111] Based on any number of simultaneous abnormal tests;

[0112] Specifically, the melt filling time is subjected to difference processing with the melt filling time standard value to obtain the melt filling time deviation, and the injection pressure value is subjected to difference processing with the injection pressure standard value to obtain the injection pressure deviation;

[0113] The melt filling time deviation and injection pressure deviation are processed by ratio to obtain the filling influence ratio;

[0114] The filling influence ratio is calculated using a mathematical variance formula to obtain the filling influence variance;

[0115] The padding effect variance is compared with the padding effect variance threshold. The specific comparison process is as follows:

[0116] If the filling influence variance is less than the filling influence variance threshold, the data fluctuation of the filling influence ratio is small, indicating that the abnormal injection pressure value is the cause of insufficient melt filling;

[0117] If the filling influence variance is greater than or equal to the filling influence variance threshold, the data fluctuation of the filling influence ratio is large, which means that other factors lead to insufficient melt filling and no other treatment is performed;

[0118] The melt filling time deviation and filling influence ratio of the simultaneous abnormal test are processed to obtain the injection pressure standard deviation;

[0119] Perform difference processing on the injection pressure standard deviation and the injection pressure deviation to obtain the injection pressure adjustment value;

[0120] The technical solution of the embodiment of the present invention is: based on the analysis signal, the injection pressure value during melt filling is obtained, the injection pressure value is analyzed and processed to obtain a filling performance value, the filling performance value is compared with a filling performance threshold and a signal is generated, and by comparing the filling performance value with the filling performance threshold, the problem can be accurately identified and located, thereby improving the efficiency of problem solving, and based on the fact that the abnormal injection pressure value is the cause of insufficient melt filling, the filling influence ratio is obtained, the filling influence ratio is data-processed to obtain the filling influence variance, the filling influence variance is compared with the filling influence variance threshold, and the abnormal injection pressure value is analyzed to be the cause of insufficient melt filling, and the injection pressure adjustment value is obtained based on the filling influence ratio and the melt filling time analysis, and the plastic mold production efficiency is improved by accurately adjusting the injection pressure value, thereby improving the product qualification rate.

[0121] Example 3

[0122] like Figure 3 A mold flow analysis system for a plastic mold according to an embodiment of the present invention includes:

[0123] Data acquisition module: Establish a 3D model corresponding to the plastic mold to be analyzed, import the 3D model into the mold flow analysis tool and perform mold flow analysis test, and obtain melt filling data based on N mold flow analysis tests, and obtain the melt filling speed average deviation ratio and melt filling time performance value based on processing and analysis of the melt filling data, and process the melt filling speed average deviation ratio and melt filling time performance value to obtain the filling completion value;

[0124] Analysis signal acquisition module: compares the filling completion value with the filling completion threshold, and generates an analysis signal if the filling completion value is less than the filling completion threshold;

[0125] Analysis signal parsing module: based on the analysis signal, the monitoring data during melt filling is obtained, the simultaneous abnormal number ratio and the injection characterization value are obtained based on the monitoring data analysis and processing, the simultaneous abnormal number ratio and the injection characterization value are analyzed to obtain the filling performance value, and the filling performance value is compared with the filling performance threshold. If the filling performance value is less than the filling performance threshold, the abnormal injection pressure value is the cause of insufficient melt filling, and an adjustment signal is generated;

[0126] Adjustment signal analysis module: Based on the fact that abnormal injection pressure value is the cause of insufficient melt filling, the melt filling time and injection pressure value are processed to obtain the filling influence ratio, the filling influence ratio is subjected to data processing to obtain the filling influence variance, the filling influence variance is compared with the filling influence variance threshold, if the filling influence variance is less than the filling influence variance threshold, it means that the abnormal injection pressure value is the cause of insufficient melt filling, and the injection pressure adjustment value is obtained based on the filling influence ratio and the melt filling time analysis.

[0127] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A mold flow analysis method for a plastic mold, characterized in that: include: Perform N times of mold flow analysis tests on the plastic mold to obtain melt filling data. Based on the processing and analysis of the melt filling data, obtain the average deviation ratio of the melt filling speed and the melt filling time performance value; The melt filling speed average deviation ratio PC is obtained as follows: The difference between the melt filling speed and the standard value of the melt filling speed is calculated, and the absolute value is taken to obtain the melt filling speed deviation; The melt filling speed deviation is calculated by ratio calculation with the melt filling speed standard value to obtain the melt filling speed deviation ratio; The melt filling speed deviation ratios of N tests are summed up and averaged to obtain the melt filling speed average deviation ratio PC; The melt filling time performance value SJ is obtained as follows: The ratio of the length of the full filling curve to the total length of the baseline is calculated to obtain the full value of the melt filling time WQ; The area enclosed by the incomplete filling curve and the baseline is ratioed to the reference area to obtain the incomplete value FQ of the melt filling time; By formula: The melt filling time performance value SJ is obtained, wherein z1 and z2 are both preset proportional coefficients; The melt filling speed deviation ratio PC and melt filling time performance value SJ are processed and the formula is used to calculate The filling completion value WC is calculated, where α and γ are both preset proportional coefficients; comparing the fill completion value with a fill completion threshold, and generating an analysis signal if the fill completion value is less than the fill completion threshold; Based on the analysis signal, the monitoring data during melt filling is obtained, and the detection data includes the injection pressure value of the melt filling in N tests; Based on the monitoring data analysis and processing, the ratio of the number of simultaneous abnormalities and the injection characterization value are obtained, and the filling performance value is obtained by analyzing the ratio of the number of simultaneous abnormalities and the injection characterization value; The method for obtaining the simultaneous abnormality number ratio TS is as follows: Establish an XY coordinate system, where the X axis is the melt filling times and the Y axis is the injection pressure value. Mark the injection pressure values ​​of the plastic mold for N filling tests in real time in the XY coordinate system, connect the data points, and obtain the injection pressure value change curve; Mark the injection pressure values ​​below the injection pressure standard line in the injection pressure value change curve and record the test times to obtain the abnormal injection test times; Count all the test times in the incomplete filling curve and compare them with the abnormal injection test times to obtain the simultaneous abnormal test times; The number of simultaneous abnormal tests is compared with the number of all tests in the incomplete filling curve to obtain the ratio of simultaneous abnormal times; The injection pressure deviation ratio ZSP and the simultaneous abnormal test quantity value YSL are processed and the formula is used to The injection characterization value BZ is calculated, where a1 and a2 are both preset proportional coefficients; The ratio of the number of simultaneous abnormalities TS and the injection characterization value BZ is processed to obtain the filling performance value; Compare the filling performance value with the filling performance threshold. If the filling performance value is less than the filling performance threshold, the abnormal injection pressure value is the cause of insufficient melt filling, and an adjustment signal is generated; Based on the fact that abnormal injection pressure value is the cause of insufficient melt filling, the melt filling time and injection pressure value are processed to obtain the filling influence ratio, and the filling influence ratio is processed to obtain the filling influence variance; Compare the filling influence variance with the filling influence variance threshold. If the filling influence variance is less than the filling influence variance threshold, it means that the abnormal injection pressure value is the cause of insufficient melt filling. According to the filling influence ratio and melt filling time analysis, the injection pressure adjustment value is obtained; The injection pressure adjustment value is obtained in the following manner: Based on any number of simultaneous abnormal tests; Specifically, the melt filling time is subjected to difference processing with the melt filling time standard value to obtain the melt filling time deviation, and the injection pressure value is subjected to difference processing with the injection pressure standard value to obtain the injection pressure deviation; The melt filling time deviation and injection pressure deviation are processed by ratio to obtain the filling influence ratio; The filling influence ratio is calculated using a mathematical variance formula to obtain the filling influence variance; Compare the filling influence variance with the filling influence variance threshold. If the filling influence variance is less than the filling influence variance threshold, the data fluctuation of the filling influence ratio is small, indicating that the abnormal injection pressure value is the cause of insufficient melt filling. The melt filling time deviation and filling influence ratio of the simultaneous abnormal test are processed to obtain the injection pressure standard deviation; The injection pressure standard deviation and the injection pressure deviation are subjected to difference processing to obtain the injection pressure adjustment value.

2. The mold flow analysis method for a plastic mold according to claim 1, characterized in that: The method for obtaining the complete value WQ of the melt filling time and the incomplete value FQ of the melt filling time is as follows: An XY coordinate system is established, with the filling times as the X-axis and the melt filling time as the Y-axis. Based on the melt filling time each time, the melt filling time data points are connected to construct a melt filling time variation curve; In the melt filling time variation curve, take the melt filling time standard value as the reference, draw a straight line parallel to the X axis, and name it the reference line; The part of the melt filling time variation curve that coincides with or is higher than the baseline is marked as a complete filling curve, the length of the complete filling curve is measured, and the ratio is calculated with the total length of the baseline, and the complete value of the melt filling time is obtained and marked as WQ; The part of the melt filling time variation curve below the baseline is marked as an incomplete filling curve; The area enclosed by the incomplete filling curve and the baseline is measured and ratioed with the reference area to obtain the incomplete value of the melt filling time, which is marked as FQ.

3. The mold flow analysis method for a plastic mold according to claim 1, characterized in that: The injection pressure deviation ratio ZSP and the simultaneous abnormal test quantity value YSL are obtained as follows: Based on any number of simultaneous abnormal tests; Perform difference processing on the injection pressure value and the injection pressure range value, and take the absolute value to obtain the injection pressure difference value, perform ratio processing on the injection pressure difference value and the injection pressure range value to obtain the injection pressure difference ratio, and perform summation and mean processing on all injection pressure difference ratios to obtain the injection pressure deviation ratio; In the injection pressure value variation curve, the number of simultaneous abnormal tests is ratioed to the number of abnormal injection tests to obtain the number of simultaneous abnormal tests.

4. A mold flow analysis system for a plastic mold, the system being used to execute the mold flow analysis method according to any one of claims 1 to 3, characterized in that: include: Data acquisition module: Establish a 3D model corresponding to the plastic mold to be analyzed, import the 3D model into the mold flow analysis tool and perform mold flow analysis test, and obtain melt filling data based on N mold flow analysis tests, and obtain the melt filling speed average deviation ratio and melt filling time performance value based on processing and analysis of the melt filling data, and process the melt filling speed average deviation ratio and melt filling time performance value to obtain the filling completion value; Analysis signal acquisition module: compares the filling completion value with the filling completion threshold, and generates an analysis signal if the filling completion value is less than the filling completion threshold; Analysis signal parsing module: based on the analysis signal, the monitoring data during melt filling is obtained, the simultaneous abnormal number ratio and the injection characterization value are obtained based on the monitoring data analysis and processing, the simultaneous abnormal number ratio and the injection characterization value are analyzed to obtain the filling performance value, and the filling performance value is compared with the filling performance threshold. If the filling performance value is less than the filling performance threshold, the abnormal injection pressure value is the cause of insufficient melt filling, and an adjustment signal is generated; Adjustment signal analysis module: Based on the fact that abnormal injection pressure value is the cause of insufficient melt filling, the melt filling time and injection pressure value are processed to obtain the filling influence ratio, the filling influence ratio is subjected to data processing to obtain the filling influence variance, the filling influence variance is compared with the filling influence variance threshold, if the filling influence variance is less than the filling influence variance threshold, it means that the abnormal injection pressure value is the cause of insufficient melt filling, and the injection pressure adjustment value is obtained based on the filling influence ratio and the melt filling time analysis.

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