A multi-channel gas-assisted injection molding process parameter management system and method

Abstract

The application discloses a kind of multi-channel gas assisted injection molding process parameter management system and method, it is related to channel gas assisted injection molding technical field, including the interrelation intensity between the gas parameters of different channels in mould and the injection molding process parameters of product;Determine target injection molding process parameter, and determine target channel in combination with interrelation data;Analysis target gas parameter injection molding auxiliary effect influence condition of associated gas parameter in other channels in mould, determine the compensation direction of target gas parameter, analyze the compensation degree of associated gas parameter under different adjustment amplitude of target gas parameter, obtain target gas data;According to target gas data, use channel in mould to carry out gas assistance to injection molding process parameter in product production process, so as to not only guarantee the effectiveness of channel in mould to injection molding process parameter auxiliary optimization, also improve the production qualified rate of product.

Description

Technical Field

[0001] This invention relates to the field of channel gas-assisted injection molding technology, specifically a multi-channel gas-assisted injection molding process parameter management system and method. Background Technology

[0002] Gas-assisted injection molding technology involves injecting high-pressure inert gas into the mold cavity after the molten plastic has filled it. The gas then propels the melt to complete the pressure holding and hollowing process, thereby producing plastic products with hollow cross-sections, high surface quality, and low internal stress. With the development of lightweight automobiles and large-scale exterior parts for home appliances, traditional single-channel gas-assisted technology can no longer meet the molding requirements of complex structural products. For products with long flow paths, large differences in wall thickness, or multiple independent thick-walled areas, multi-channel gas-assisted injection molding technology must be adopted. This involves independently installing gas needles at multiple preset positions in the mold and using injection molding equipment to control parameters such as injection pressure, delay time, and pressure holding sequence for each channel in the mold, thereby ensuring that the injection process parameters meet the process requirements during product production.

[0003] In practice, there is a significant strong coupling in the process of controlling the gas injection of each channel in the mold using injection molding equipment. If only one injection molding process parameter is optimized for a single objective, not only will the adjustment of the gas in one channel affect the optimization effect of the gas in other channels on the injection molding process parameters, but also, although one injection molding process parameter is optimized, the adjustment of the original multi-channel gas auxiliary strategy will cause other injection molding process parameters to deteriorate. This will cause the optimization objective of the injection molding process parameters to be out of control globally, which will not only fail to effectively assist in the optimization and management of injection molding process parameters, but may even lead to the overall deterioration of injection molding process parameters during product manufacturing. Summary of the Invention

[0004] The purpose of this invention is to provide a multi-channel gas-assisted injection molding process parameter management system and method to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for managing process parameters in multi-channel gas-assisted injection molding, the method comprising: Step S1: Obtain the historical gas-assisted injection molding records of the product, analyze the correlation strength between the gas parameters of different channels in the mold and the injection molding process parameters of the product, and obtain the correlation data; Step S2: Obtain the product's historical quality inspection records, determine the target injection molding process parameters, and combine the interrelated data to determine the target channel; Step S3: Obtain the reference gas-assisted injection record of the target gas parameter in the target channel, and combine it with the interrelated data to analyze the influence of the target gas parameter on the injection assistance effect of the related gas parameter in other channels of the mold, determine the compensation direction of the target gas parameter, analyze the compensation degree of the target gas parameter on the related gas parameter under different adjustment ranges, and obtain the target gas data. Step S4: Based on the target gas data, use the channels in the mold to provide gas assistance for the injection molding process parameters during product production.

[0006] Furthermore, step S3 includes: Obtain the channel gas vector and injection molding process vector of the product in the current cycle, and obtain the reference gas-assisted injection molding record; Obtain the initial value F and compensation range τ of the target gas parameter in the target channel of the mold; Using the initial value F as the dividing line, the reference gas-assisted injection molding records are divided to obtain the first reference record set and the second reference record set; Set the compensation direction variable q, obtain the gas parameters of other channels in the mold that are coupled with each other from the interrelated data, and record them as the associated gas parameters of the target gas parameters. Calculate the first associated stable value δ1 and the second associated stable value δ2 of the target gas parameters. When δ1>δ2, it is determined that the compensation direction of the target gas parameters is upward compensation, then q=1. When δ1<δ2, it is determined that the compensation direction of the target gas parameters is downward compensation, then q=-1. ​​When δ1=δ2, it is determined that the target gas parameters do not need compensation, then the initial value F is the target value F´ of the target gas parameters. Obtain the target reference record set for the product, and then obtain the parameter stabilization auxiliary injection molding records from the target reference record set. Calculate the parameter uncertainty β of the target gas parameter in the target reference record set, and set a parameter uncertainty threshold β´. When β ≤ β´, obtain the average difference between the target gas parameter and the initial value F in each parameter stabilization auxiliary injection molding record of the target reference record set, and record it as the compensation value f of the target gas parameter. Otherwise, obtain the feature frequency of the target gas parameter in each feature region, obtain several feature regions with feature frequencies greater than a preset frequency threshold, and obtain the maximum value R of the feature-related stable value of the target gas parameter in several feature regions. max ; Get the maximum value R max For the corresponding feature region, obtain the absolute value of the difference between the median of the target gas parameter and the initial value F in the data range of the feature region, obtain the compensation value f of the target gas parameter, and calculate the target value F´=F+q×f of the target gas parameter; The target values ​​and compensation ranges of the target gas parameters in the target channel of the mold during the product injection molding process in the current cycle are obtained and aggregated to obtain target gas data; The acquisition of reference gas-assisted injection molding records in the above steps ensures that the data used for subsequent compensation analysis is highly comparable, avoiding the use of irrelevant or excessively different historical records for decision-making. This improves the pertinence and reliability of the compensation strategy. Furthermore, considering the influence of target gas parameters in the target channel on related gas parameters in other channels, which in turn affects related injection molding process parameters, compensation is performed on related gas parameters to adjust the target value of the target gas parameter. This fundamentally solves the problems of strong coupling, large disturbances, and difficulty in quantification of gas parameter adjustment in multi-channel gas-assisted injection molding, significantly improving the intelligence level of parameter management and the practical application effect.

[0007] Furthermore, step S1 includes: Obtain historical gas-assisted injection records during the injection molding process of the injection molding equipment using the mold; obtain the values ​​of various gas parameters for each channel of the mold from the historical gas-assisted injection records; and obtain the values ​​of various injection molding process parameters during product production from the historical auxiliary injection records. Obtain the value of the b-th gas parameter of the a-th channel of the mold from each historical gas-assisted injection molding record. Obtain the value of the c-th injection molding process parameter from each historical gas-assisted injection molding record. Divide the value range of the b-th gas parameter evenly into k regions. Obtain the total number of historical gas-assisted injection molding records in each region where the value of the b-th gas parameter falls within the value range of each region. Here, k is a preset value. Calculate the marginal probabilities of the b-th gas parameter and the c-th injection molding process parameter in each region, and calculate the joint probability of the b-th gas parameter and the c-th injection molding process parameter in each region. Calculate the correlation strength I between the gas parameter (b) and the injection molding process parameter (c). (b,c) Calculate the parameter uncertainty values ​​for the gas parameter (item b) and the injection molding process parameter (item c), and calculate the correlation value M between the gas parameter (item b) and the injection molding process parameter (item c). (b,c) Set the association threshold M', when M (b,c) When M' >, it is determined that there is a correlation between the gas parameter b and the injection molding process parameter c; Obtain the correlation values ​​between the b-th gas parameter and the c-th injection molding process parameter, sort and aggregate them according to a preset order, and obtain the correlation feature vector V of the b-th gas parameter. b Obtain the associated feature vector V of the e-th gas parameter in the α-th channel of the mold. e Calculate the coupling correlation coefficient γ between the b-th gas parameter and the e-th gas parameter.(b,e) Set the coupling correlation threshold γ´, when γ (b,e) When the value is greater than γ´, it is determined that there is a coupling relationship between the b-th gas parameter in the a-th channel and the e-th gas parameter in the α-th channel; otherwise, there is no coupling relationship between the b-th gas parameter and the e-th gas parameter. The injection molding process parameters that are related to the gas parameters in the channels of the mold, as well as the gas parameters that are coupled and related in different channels of the mold, are collected to obtain interrelated data.

[0008] Furthermore, step S2 includes: Obtain the product's historical quality inspection records, as well as the product's historical gas-assisted injection molding records for marking and features; Obtain historical gas-assisted injection molding records for each characteristic. From these records, extract the average value μ and standard deviation σ of a specific injection molding process parameter. Construct the y-th data range Q for this injection molding process parameter. y =[μ-y×σ,μ+y×σ]; Obtain the value of a certain injection molding process parameter in the y-th data range Q y Total number of characteristic historical gas-assisted injection molding records within Obtain the total number of historical gas-assisted injection molding records for each feature of the product. Calculate the detection accuracy for the y-th data range. ; Obtain the value of a certain injection molding process parameter in the y-th data range Q y Total number of historical gas-assisted injection molding records within the internal markings Obtain the total number of historical gas-assisted injection molding records for each product. Calculate the qualified false positive value for the y-th data range. ; Set a qualified false detection threshold And the detection accuracy threshold G´, when And G y When >G´, then for the y-th data range Q y Mark the data and record it as the marking data range for a certain injection molding process parameter; Get the range Q of the y-th data. y Range length L y =2×y×σ, to obtain the minimum value L of the range length of the marked data range for a certain injection molding process parameter. min Obtain the minimum value L min The corresponding range of marked data is recorded as the target data range for a certain injection molding process parameter; Obtain the gas-assisted injection molding record of the product in the current cycle, retrieve the value of a certain injection molding process parameter from the gas-assisted injection molding record, and if the value of a certain injection molding process parameter is not within the target data range, then record the certain injection molding process parameter as the target injection molding process parameter; Obtain the interrelationship data of the products, extract the channels in the mold that are related to the target injection molding process parameters from the interrelationship data, and record them as target channels. Obtain the gas parameters in the target channels that are related to the target injection molding process parameters, and record them as target gas parameters.

[0009] Furthermore, step S4 includes: Acquire target gas data, and from the target gas data, obtain the target values ​​and compensation ranges of the target gas parameters for the target channel; Obtain the values ​​of each gas parameter in each channel of the gas-assisted injection molding record of the product in the current cycle, and replace the value of the target gas parameter in the target channel in the gas-assisted injection molding record with the target value of the target gas parameter in the target channel; Based on the values ​​of various gas parameters in each channel of the gas-assisted injection molding record after replacement, the injection molding equipment is controlled to inject gas into each channel of the mold, and the injection molding process parameters of the product are optimized. Within the compensation range of the target gas parameters in the target channel, the target gas parameters are adjusted until the product qualification rate of the product in the current cycle is greater than the preset threshold. When the product qualification rate exceeds a preset threshold, the gas parameter values ​​of each channel in the mold are collected to obtain characteristic gas auxiliary data. This characteristic gas auxiliary data is then uploaded to the platform. Based on the characteristic gas auxiliary data, the channels of the mold are used to provide gas assistance for the injection molding process parameters during product production.

[0010] To better implement the above method, a multi-channel gas-assisted injection molding process parameter management system is also proposed. The system includes a correlation analysis module, a target channel determination module, a parameter compensation analysis module, and a gas-assisted injection molding module. The correlation analysis module is used to acquire historical gas-assisted injection molding records of the product, analyze the correlation strength between gas parameters in different channels of the mold and injection molding process parameters in product production, and obtain correlation data. The target channel determination module is used to acquire historical quality inspection records of the product, determine the target injection molding process parameters, and combine the interrelated data to determine the target channel in the mold; The parameter compensation analysis module is used to analyze the degree of compensation of the target gas parameters to the associated gas parameters under different adjustment ranges, and obtain the target gas data. The gas-assisted injection molding module is used to provide gas assistance to the injection molding process parameters during product production using different channels in the mold, based on target gas data.

[0011] Furthermore, the correlation analysis module includes a data acquisition unit and a correlation analysis unit; The data acquisition unit is used to acquire historical gas-assisted injection molding records, obtain the values ​​of various gas parameters of each channel of the mold from the historical gas-assisted injection molding records, and obtain the values ​​of various injection molding process parameters in product production from the historical auxiliary injection molding records. The correlation analysis unit is used to analyze the correlation between various gas parameters in each channel and injection molding process parameters, analyze the coupling correlation between various gas parameters in each channel, and obtain interrelated data.

[0012] Furthermore, the target channel determination module includes a target process parameter determination unit and a target channel determination unit; The target process parameter determination unit is used to acquire historical quality inspection records of the product and determine the target injection molding process parameters during the product manufacturing process. The target channel determination unit is used to obtain channels that are related to the target injection molding process parameters based on interrelated data, and determine them as target channels.

[0013] Furthermore, the parameter compensation analysis module includes a reference record acquisition unit and a parameter compensation analysis unit; The reference record acquisition unit is used to acquire the channel gas vector and injection molding process vector of the product in the current cycle, and to acquire the reference gas-assisted injection molding record; The parameter compensation analysis unit is used to determine the compensation direction of the target gas parameter based on the reference gas-assisted injection molding record and in combination with the interrelated data, analyze the degree of compensation of the target gas parameter to the related gas parameter under different adjustment ranges, and obtain the target gas data.

[0014] Furthermore, the gas-assisted injection molding module includes a gas-assisted injection molding unit; The gas-assisted injection molding unit is used to acquire target gas data, obtain the target values ​​and compensation ranges of the target gas parameters of the target channel from the target gas data, acquire characteristic gas auxiliary data, and use the mold channel to provide gas assistance to the injection molding process parameters during product production based on the characteristic gas auxiliary data.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: By calculating the correlation strength between gas parameters and injection molding process parameters, as well as the coupling correlation coefficient between gas parameters in different channels, the mutual influence of various parameters in multi-channel gas-assisted injection molding can be quantitatively analyzed, providing a reliable data foundation for subsequent parameter optimization. Furthermore, by analyzing historical quality inspection records, abnormal target injection molding process parameters can be obtained, and the target channels in the mold that need to be adjusted and optimized can be identified based on the mutual influence between parameters. Compensation can be made for the adjustment of target gas parameters in the target channels based on the mutual influence of parameters, thereby avoiding the risk of deterioration of other parameters due to optimization of only one parameter. This not only ensures the effectiveness of the injection molding equipment in using channels in the mold to assist in the optimization of injection molding process parameters, but also improves the pass rate of the product during injection molding production and guarantees product quality. Attached Figure Description

[0016] Figure 1 This is a flowchart of the compensation value acquisition method for a multi-channel gas-assisted injection molding process parameter management method of the present invention; Figure 2 This is a flowchart of the modules of a multi-channel gas-assisted injection molding process parameter management system of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example: Figures 1-2 As shown, the present invention provides a technical solution, a method for managing process parameters in multi-channel gas-assisted injection molding, the method comprising: Step S1: Obtain the historical gas-assisted injection molding records of the product, analyze the correlation strength between the gas parameters of different channels in the mold and the injection molding process parameters of the product, and obtain the correlation data; Step S1 includes: Obtain historical gas-assisted injection records during the injection molding process of the injection molding equipment using the mold; obtain the values ​​of various gas parameters for each channel of the mold from the historical gas-assisted injection records; and obtain the values ​​of various injection molding process parameters during product production from the historical auxiliary injection records. For example, the gas parameters in the channels of the mold include injection pressure and gas delay time; For example, various injection molding process parameters in product manufacturing include barrel temperature, mold temperature, screw speed, etc. in the injection molding equipment; For example, before calculating the various gas parameters and injection process parameters in each channel of the historical gas-assisted injection molding record, standardization processing is required. After standardization, the values ​​of the various gas parameters and injection process parameters in each channel are all between 0 and 1. Obtain the value of the b-th gas parameter of the a-th channel of the mold from each historical gas-assisted injection molding record. Obtain the value of the c-th injection molding process parameter from each historical gas-assisted injection molding record. Divide the value range of the b-th gas parameter evenly into k regions. Obtain the total number of historical gas-assisted injection molding records in each region where the value of the b-th gas parameter falls within the value range of each region. Here, k is a preset value. Calculate the marginal probabilities of the b-th gas parameter and the c-th injection molding process parameter in each region, and calculate the joint probability of the b-th gas parameter and the c-th injection molding process parameter in each region. For example, the specific calculation process for the marginal probability of the b-th gas parameter within a certain region is as follows: Obtain the numerical range within a certain region, obtain the total number n of historical gas-assisted injection molding records within the numerical range of the b-th gas parameter in the certain region, obtain the total number N of each historical gas-assisted injection molding record, and calculate the marginal probability p of the b-th gas parameter within the certain region. b =n / N; For example, the calculation process for the marginal probability of injection molding process parameter c and gas parameter b is the same in each region; The calculation process for marginal probabilities is the same across all regions. For example, the joint probability p between the gas parameter b in one region and the injection molding process parameter c in another region. (b,c) The specific calculation process is as follows: If the value of the b-th gas parameter in a certain historical gas-assisted injection molding record is within a certain range, and the value of the c-th injection molding process parameter in a certain historical gas-assisted injection molding record is within a certain range, then the certain historical gas-assisted injection molding record is marked as a historical gas-assisted injection molding record where the b-th gas parameter is in a certain range and the c-th injection molding process parameter is in another range. Obtain the total number d of the marked historical gas-assisted injection molding records of the b-th gas parameter in one region and the c-th injection molding process parameter in another region, and calculate the joint probability p between the b-th gas parameter in one region and the c-th injection molding process parameter in another region. (b,c) =d / N; Calculate the correlation strength I between the gas parameter (b) and the injection molding process parameter (c). (b,c)Calculate the parameter uncertainty values ​​for the gas parameter (item b) and the injection molding process parameter (item c), and calculate the correlation value M between the gas parameter (item b) and the injection molding process parameter (item c). (b,c) Set the association threshold M', when M (b,c) When M' >, it is determined that there is a correlation between the gas parameter b and the injection molding process parameter c; For example, the correlation strength I between the gas parameter b and the injection molding process parameter c (b,c) The specific calculation formula is as follows: , Where, p b (i) represents the marginal probability of the b-th gas parameter in the i-th region; p c (j) represents the marginal probability of the c-th gas parameter in the j-th region; p (b,c) (i,j) represents the joint probability between the b-th gas parameter in the i-th region and the c-th gas parameter in the j-th region; For example, the parameter uncertainty H of the gas parameter in item b. (b) The specific calculation formula is as follows: , For example, the parameter uncertainty H of the c-th injection molding process parameter. (c) The specific calculation formula is as follows: , For example, the correlation value M between the gas parameter b and the injection molding process parameter c (b,c) The specific calculation formula is as follows: , For example, the aforementioned correlation strength I (b,c) Parameter uncertainty H (b) and parameter uncertainty H (c) In this specific embodiment, the base of the logarithm is either 2 or e; Obtain the correlation values ​​between the b-th gas parameter and the c-th injection molding process parameter, sort and aggregate them according to a preset order, and obtain the correlation feature vector V of the b-th gas parameter. b Obtain the associated feature vector V of the e-th gas parameter in the α-th channel of the mold. e Calculate the coupling correlation coefficient γ between the b-th gas parameter and the e-th gas parameter. (b,e) Set the coupling correlation threshold γ´, when γ (b,e) When the value is greater than γ´, it is determined that there is a coupling relationship between the b-th gas parameter in the a-th channel and the e-th gas parameter in the α-th channel; otherwise, there is no coupling relationship between the b-th gas parameter and the e-th gas parameter. For example, the coupling correlation coefficient γ between the b-th gas parameter and the e-th gas parameter (b,e) The specific calculation formula is as follows: , The injection molding process parameters that are related to the gas parameters in the channels of the mold, as well as the gas parameters that are coupled and related in different channels of the mold, are collected to obtain interrelated data.

[0019] Step S2: Obtain the product's historical quality inspection records, determine the target injection molding process parameters, and combine the interrelated data to determine the target channel; Step S2 includes: Obtain the product's historical quality inspection records, as well as the product's historical gas-assisted injection molding records for marking and features; For example, the process of obtaining the marked historical gas-assisted injection molding records and the characteristic historical gas-assisted injection molding records is as follows: obtain the products that are qualified and unqualified in the quality inspection from the historical quality inspection records respectively; obtain the historical gas-assisted injection molding records of the products that are unqualified in the quality inspection and record them as marked historical gas-assisted injection molding records; obtain the historical gas-assisted injection molding records of the products that are qualified in the quality inspection and record them as characteristic historical gas-assisted injection molding records. Obtain historical gas-assisted injection molding records for each characteristic. From these records, extract the average value μ and standard deviation σ of a specific injection molding process parameter. Construct the y-th data range Q for this injection molding process parameter. y =[μ-y×σ,μ+y×σ]; Obtain the value of a certain injection molding process parameter in the y-th data range Q y Total number of characteristic historical gas-assisted injection molding records within Obtain the total number of historical gas-assisted injection molding records for each feature of the product. Calculate the detection accuracy for the y-th data range. ; Obtain the value of a certain injection molding process parameter in the y-th data range Q y Total number of historical gas-assisted injection molding records within the internal markings Obtain the total number of historical gas-assisted injection molding records for each product. Calculate the qualified false positive value for the y-th data range. ; Set a qualified false detection threshold And the detection accuracy threshold G´, when And G y When >G´, then for the y-th data range Q y Mark the data and record it as the marking data range for a certain injection molding process parameter; Get the range Q of the y-th data. y Range length L y =2×y×σ, to obtain the minimum value L of the range length of the marked data range for a certain injection molding process parameter. min Obtain the minimum value L min The corresponding range of marked data is recorded as the target data range for a certain injection molding process parameter; Obtain the gas-assisted injection molding record of the product in the current cycle, retrieve the value of a certain injection molding process parameter from the gas-assisted injection molding record, and if the value of a certain injection molding process parameter is not within the target data range, then record the certain injection molding process parameter as the target injection molding process parameter; Obtain the interrelationship data of the products, extract the channels in the mold that are related to the target injection molding process parameters from the interrelationship data, and record them as target channels. Obtain the gas parameters in the target channels that are related to the target injection molding process parameters, and record them as target gas parameters.

[0020] Step S3: Obtain the reference gas-assisted injection record of the target gas parameter in the target channel, and combine it with the interrelated data to analyze the influence of the target gas parameter on the injection assistance effect of the related gas parameter in other channels of the mold, determine the compensation direction of the target gas parameter, analyze the compensation degree of the target gas parameter on the related gas parameter under different adjustment ranges, and obtain the target gas data. Step S3 includes: Obtain the channel gas vector and injection molding process vector of the product in the current cycle, and obtain the reference gas-assisted injection molding record; For example, the specific process for obtaining the channel gas vector and injection molding process vector of the product in the current cycle is as follows: Obtain the feature values ​​of the target channel and target injection parameters of the product during the injection molding process using the mold within the current cycle; For example, the specific process of obtaining the feature values ​​of the target channel is as follows: The mean values ​​of various gas parameters in the target channel are obtained from the characteristic historical gas-assisted injection molding records and recorded as the characteristic values ​​of various gas parameters in the target channel; For example, the specific process for obtaining the feature values ​​of the target injection molding parameters is as follows: The mean value of the target injection molding process parameter is obtained from the characteristic historical gas-assisted injection molding records and recorded as the characteristic value of the target injection molding process parameter; For example, the specific process of constructing the channel gas vector for the product in the current cycle is as follows: Several channels are obtained by removing the target channel from each channel. The values ​​of gas parameters in several channels are obtained from the gas-assisted injection molding record. The characteristic values ​​of each gas parameter in the target channel are used to replace each gas parameter in the target channel in the gas-assisted injection molding record. The values ​​of each gas parameter in several channels and the target channel after standardization are collected in a preset order to construct the channel gas vector of the product in the current cycle. For example, after standardization, the values ​​of various gas parameters in several channels and the target channel are all between 0 and 1. For example, the specific process of constructing the injection molding process vector for a product in the current cycle is as follows: The values ​​of various injection molding process parameters are obtained from the gas-assisted injection molding record. The characteristic values ​​of the target injection molding process parameters are used to replace the values ​​of the target injection molding process parameters in the gas-assisted injection molding record. The values ​​of the standardized injection molding process parameters are collected in a preset order to construct the injection molding process vector of the product in the current cycle. For example, in the standardized gas-assisted injection molding records, the values ​​of all injection molding process parameters are between 0 and 1. For example, the specific process for obtaining reference gas-assisted injection molding records is as follows: Set a reference threshold T´, obtain characteristic historical gas-assisted injection molding records, calculate the gas-assisted reference value T of the characteristic historical gas-assisted injection molding records for the product in the current cycle. When T>T´, the characteristic historical gas-assisted injection molding records are recorded as reference gas-assisted injection molding records; otherwise, no processing is performed on the characteristic historical gas-assisted injection molding records. For example, the specific formula for calculating the gas-assisted reference value of the historical gas-assisted injection molding records for the product in the current cycle is as follows: The values ​​of various injection molding process parameters and gas parameters in each channel are directly obtained from the characteristic historical gas-assisted injection molding records, and the injection molding process vector and channel gas vector of the characteristic historical gas-assisted injection molding records are constructed. Calculate the cosine similarity S between the injection process vector of the historical gas-assisted injection molding record and the injection process vector of the gas-assisted injection molding record. z Calculate the cosine similarity S between the injection process vector of the historical gas-assisted injection molding record and the injection process vector of the gas-assisted injection molding record. W Calculate the historical gas-assisted injection molding record of the product in the current cycle, and obtain the gas-assisted reference value T=S. z ×η z +S W ×η W , where η z and ηW These are the preset injection molding weighting coefficient and gas weighting coefficient, η. z and η W The sum between them is 1, and η z and η W All are greater than 0; Obtain the initial value F and compensation range τ of the target gas parameter in the target channel of the mold; For example, the specific process for obtaining the initial value F and the compensation range τ is as follows: Obtain the target gas parameters of the target channel in the mold, and obtain the mean μ´ and maximum F of the target gas parameters of the target channel in each reference gas-assisted injection molding record of the product in the current cycle. max and minimum value F min The mean μ´ is used as the initial value F of the target gas parameter, and the compensation range τ=[F] of the target gas parameter in the current period is constructed. min ,F max ]; Using the initial value F as the dividing line, the reference gas-assisted injection molding records are divided to obtain the first reference record set and the second reference record set; For example, the process of obtaining the first and second reference record sets is as follows: When the value of the target gas parameter in the reference gas-assisted injection molding record is greater than the initial value F, the reference gas-assisted injection molding record is assigned to the first reference record set. When the value of the target gas parameter in the reference gas-assisted injection molding record is less than the initial value F, the reference gas-assisted injection molding record is assigned to the second reference record set. When the value of the target gas parameter in the reference gas-assisted injection molding record is equal to the initial value F, the reference gas-assisted injection molding record is not processed. Set the compensation direction variable q, obtain the gas parameters of other channels in the mold that are coupled with each other from the interrelated data, and record them as the associated gas parameters of the target gas parameters. Calculate the first associated stable value δ1 and the second associated stable value δ2 of the target gas parameters. When δ1>δ2, it is determined that the compensation direction of the target gas parameters is upward compensation, then q=1. When δ1<δ2, it is determined that the compensation direction of the target gas parameters is downward compensation, then q=-1. ​​When δ1=δ2, it is determined that the target gas parameters do not need compensation, then the initial value F is the target value F´ of the target gas parameters. For example, the specific calculation process for the first correlation stability value δ1 and the second correlation stability value δ2 is as follows: Obtain the associated gas parameters of the target gas parameters, retrieve the standardized values ​​of the associated gas parameters from the gas-assisted injection molding record, and aggregate them to obtain the associated gas vector of the gas-assisted injection molding record; Obtain the associated gas vector of the reference gas-assisted injection molding record, calculate the cosine similarity between the associated gas vectors of the gas-assisted injection molding record and the reference gas-assisted injection molding record, and when the cosine similarity between the associated gas vectors of the gas-assisted injection molding record and the reference gas-assisted injection molding record is greater than the preset similarity threshold, the reference gas-assisted injection molding record is recorded as the parameter-stable assisted injection molding record. The first associated stability value δ1 is obtained by comparing the total number of records marked as parameter-stable assisted injection molding records in the first reference record set with the reference gas assisted injection molding records in the first reference record set. The second associated stability value δ2 is obtained by comparing the total number of records marked as parameter-stable assisted injection molding records in the second reference record set with the reference gas assisted injection molding records in the second reference record set. Obtain the target reference record set for the product, and then obtain the parameter stabilization auxiliary injection molding records from the target reference record set. Calculate the parameter uncertainty β of the target gas parameter in the target reference record set, and set a parameter uncertainty threshold β´. When β ≤ β´, obtain the average difference between the target gas parameter and the initial value F in each parameter stabilization auxiliary injection molding record of the target reference record set, and record it as the compensation value f of the target gas parameter. Otherwise, obtain the feature frequency of the target gas parameter in each feature region, obtain several feature regions with feature frequencies greater than a preset frequency threshold, and obtain the maximum value R of the feature-related stable value of the target gas parameter in several feature regions. max ; For example, the specific process of obtaining the target reference record set is as follows: When δ1>δ2, the first reference record set is designated as the target reference record set; when δ1<δ2, the second reference record set is designated as the target reference record set; when δ1=δ2, neither the first nor the second reference record set is processed. For example, the specific calculation process for the parameter uncertainty β of the target gas parameters in the target reference record set is as follows: The maximum and minimum values ​​of the target gas parameters are obtained from the parameter-stabilized auxiliary injection molding records of the target reference record set. The feature range of the target gas parameters is constructed, and the feature range is evenly divided into various feature regions. The total number of each feature region is ε. The ratio between the total number of parameter-stabilized auxiliary injection molding records of the target gas parameters within each feature region and the total number of parameter-stabilized auxiliary injection molding records in the target reference record set is obtained to obtain the feature frequency of the target gas parameters in each feature region. Calculate the parameter uncertainty β of the target gas parameters in the target reference record set: , Among them, B mThe characteristic frequency of the target gas parameter value within the range of the m-th characteristic region; For example, in a specific embodiment, the base of the logarithm is 2 or e; For example, the process of obtaining the characteristic correlation stable value of the target gas parameter in a certain feature region is as follows: Obtain the parameter-stable auxiliary injection molding record of the target gas parameter within a certain feature region, and the average cosine similarity of the associated gas vector between the parameter-stable auxiliary injection molding record and the gas-assisted injection molding record corresponding to a certain feature region, and record it as the feature-related stable value of the target gas parameter in a certain feature region. Get the maximum value R max For the corresponding feature region, obtain the absolute value of the difference between the median of the target gas parameter and the initial value F in the data range of the feature region, obtain the compensation value f of the target gas parameter, and calculate the target value F´=F+q×f of the target gas parameter; The target values ​​and compensation ranges of the target gas parameters in the target channel of the mold during the product injection molding process in the current cycle are obtained and aggregated to obtain target gas data.

[0021] Step S4: Based on the target gas data, use the channels in the mold to provide gas assistance for the injection molding process parameters during product production; Step S4 includes: Acquire target gas data, and from the target gas data, obtain the target values ​​and compensation ranges of the target gas parameters for the target channel; Obtain the values ​​of each gas parameter in each channel of the gas-assisted injection molding record of the product in the current cycle, and replace the value of the target gas parameter in the target channel in the gas-assisted injection molding record with the target value of the target gas parameter in the target channel; Based on the values ​​of various gas parameters in each channel of the gas-assisted injection molding record after replacement, the injection molding equipment is controlled to inject gas into each channel of the mold, and the injection molding process parameters of the product are optimized. Within the compensation range of the target gas parameters in the target channel, the target gas parameters are adjusted until the product qualification rate of the product in the current cycle is greater than the preset threshold. When the product qualification rate exceeds a preset threshold, the gas parameter values ​​of each channel in the mold are collected to obtain characteristic gas auxiliary data. This characteristic gas auxiliary data is then uploaded to the platform. Based on the characteristic gas auxiliary data, the channels of the mold are used to provide gas assistance for the injection molding process parameters during product production.

[0022] To better implement the above method, a multi-channel gas-assisted injection molding process parameter management system is also proposed. The system includes a correlation analysis module, a target channel determination module, a parameter compensation analysis module, and a gas-assisted injection molding module. The correlation analysis module is used to acquire historical gas-assisted injection molding records of the product, analyze the correlation strength between gas parameters in different channels of the mold and injection molding process parameters in product production, and obtain correlation data. The target channel determination module is used to acquire historical quality inspection records of the product, determine the target injection molding process parameters, and combine the interrelated data to determine the target channel in the mold; The parameter compensation analysis module is used to analyze the degree of compensation of the target gas parameters to the associated gas parameters under different adjustment ranges, and obtain the target gas data. The gas-assisted injection molding module is used to provide gas assistance to the injection molding process parameters during product production using different channels in the mold, based on target gas data.

[0023] The correlation analysis module includes a data acquisition unit and a correlation analysis unit. The data acquisition unit is used to acquire historical gas-assisted injection molding records, obtain the values ​​of various gas parameters of each channel of the mold from the historical gas-assisted injection molding records, and obtain the values ​​of various injection molding process parameters in product production from the historical auxiliary injection molding records. The correlation analysis unit is used to analyze the correlation between various gas parameters in each channel and injection molding process parameters, analyze the coupling correlation between various gas parameters in each channel, and obtain interrelated data.

[0024] The target channel determination module includes a target process parameter determination unit and a target channel determination unit; The target process parameter determination unit is used to acquire historical quality inspection records of the product and determine the target injection molding process parameters during the product manufacturing process. The target channel determination unit is used to obtain channels that are related to the target injection molding process parameters based on interrelated data, and determine them as target channels.

[0025] The parameter compensation analysis module includes a reference record acquisition unit and a parameter compensation analysis unit. The reference record acquisition unit is used to acquire the channel gas vector and injection molding process vector of the product in the current cycle, and to acquire the reference gas-assisted injection molding record; The parameter compensation analysis unit is used to determine the compensation direction of the target gas parameter based on the reference gas-assisted injection molding record and in combination with the interrelated data, analyze the degree of compensation of the target gas parameter to the related gas parameter under different adjustment ranges, and obtain the target gas data.

[0026] The gas-assisted injection molding module includes a gas-assisted injection molding unit; The gas-assisted injection molding unit is used to acquire target gas data, obtain the target values ​​and compensation ranges of the target gas parameters of the target channel from the target gas data, acquire characteristic gas auxiliary data, and use the mold channel to provide gas assistance to the injection molding process parameters during product production based on the characteristic gas auxiliary data.

[0027] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for managing process parameters in multi-channel gas-assisted injection molding, characterized in that, The method includes: Step S1: Obtain the historical gas-assisted injection molding records of the product, analyze the correlation strength between the gas parameters of different channels in the mold and the injection molding process parameters of the product, and obtain the correlation data; Step S2: Obtain the product's historical quality inspection records, determine the target injection molding process parameters, and combine the interrelated data to determine the target channel; Step S3: Obtain the reference gas-assisted injection record of the target gas parameter in the target channel, and combine it with the interrelated data to analyze the influence of the target gas parameter on the injection assistance effect of the related gas parameter in other channels of the mold, determine the compensation direction of the target gas parameter, analyze the compensation degree of the target gas parameter on the related gas parameter under different adjustment ranges, and obtain the target gas data. Step S4: Based on the target gas data, use the channels in the mold to provide gas assistance for the injection molding process parameters during product production.

2. The method for managing multi-channel gas-assisted injection molding process parameters according to claim 1, characterized in that, Step S3 includes: Obtain the channel gas vector and injection molding process vector of the product in the current cycle, and obtain the reference gas-assisted injection molding record; Obtain the initial value F and compensation range τ of the target gas parameter in the target channel of the mold; Using the initial value F as the dividing line, the reference gas-assisted injection molding records are divided to obtain the first reference record set and the second reference record set; Set the compensation direction variable q, obtain the gas parameters of other channels in the mold that are coupled with each other from the interrelated data, and record them as the associated gas parameters of the target gas parameters. Calculate the first associated stable value δ1 and the second associated stable value δ2 of the target gas parameters. When δ1>δ2, it is determined that the compensation direction of the target gas parameters is upward compensation, then q=1. When δ1<δ2, it is determined that the compensation direction of the target gas parameters is downward compensation, then q=-1. ​​When δ1=δ2, it is determined that the target gas parameters do not need compensation, then the initial value F is the target value F´ of the target gas parameters. Obtain the target reference record set for the product, and then obtain the parameter stabilization auxiliary injection molding records from the target reference record set. Calculate the parameter uncertainty β of the target gas parameter in the target reference record set, and set a parameter uncertainty threshold β´. When β ≤ β´, obtain the average difference between the target gas parameter and the initial value F in each parameter stabilization auxiliary injection molding record of the target reference record set, and record it as the compensation value f of the target gas parameter. Otherwise, obtain the feature frequency of the target gas parameter in each feature region, obtain several feature regions with feature frequencies greater than a preset frequency threshold, and obtain the maximum value R of the feature-related stable value of the target gas parameter in several feature regions. max ; Get the maximum value R max For the corresponding feature region, obtain the absolute value of the difference between the median of the target gas parameter and the initial value F in the data range of the feature region, obtain the compensation value f of the target gas parameter, and calculate the target value F´=F+q×f of the target gas parameter; The target values ​​and compensation ranges of the target gas parameters in the target channel of the mold during the product injection molding process in the current cycle are obtained and aggregated to obtain target gas data.

3. The method for managing multi-channel gas-assisted injection molding process parameters according to claim 1, characterized in that, Step S1 includes: Obtain historical gas-assisted injection records during the injection molding process of the injection molding equipment using the mold; obtain the values ​​of various gas parameters for each channel of the mold from the historical gas-assisted injection records; and obtain the values ​​of various injection molding process parameters during product production from the historical auxiliary injection records. Obtain the value of the b-th gas parameter of the a-th channel of the mold from each historical gas-assisted injection molding record. Obtain the value of the c-th injection molding process parameter from each historical gas-assisted injection molding record. Divide the value range of the b-th gas parameter evenly into k regions. Obtain the total number of historical gas-assisted injection molding records in each region where the value of the b-th gas parameter falls within the value range of each region. Here, k is a preset value. Calculate the marginal probabilities of the b-th gas parameter and the c-th injection molding process parameter in each region, and calculate the joint probability of the b-th gas parameter and the c-th injection molding process parameter in each region. Calculate the correlation strength I between the gas parameter (b) and the injection molding process parameter (c). (b,c) Calculate the parameter uncertainty values ​​for the gas parameter (item b) and the injection molding process parameter (item c), and calculate the correlation value M between the gas parameter (item b) and the injection molding process parameter (item c). (b,c) Set the association threshold M', when M (b,c) When M' >, it is determined that there is a correlation between the gas parameter b and the injection molding process parameter c; Obtain the correlation values ​​between the b-th gas parameter and the c-th injection molding process parameter, sort and aggregate them according to a preset order, and obtain the correlation feature vector V of the b-th gas parameter. b Obtain the associated feature vector V of the e-th gas parameter in the α-th channel of the mold. e Calculate the coupling correlation coefficient γ between the b-th gas parameter and the e-th gas parameter. (b,e) Set the coupling correlation threshold γ´, when γ (b,e) When the value is greater than γ´, it is determined that there is a coupling relationship between the b-th gas parameter in the a-th channel and the e-th gas parameter in the α-th channel; otherwise, there is no coupling relationship between the b-th gas parameter and the e-th gas parameter. The injection molding process parameters that are related to the gas parameters in the channels of the mold, as well as the gas parameters that are coupled and related in different channels of the mold, are collected to obtain interrelated data.

4. The method for managing multi-channel gas-assisted injection molding process parameters according to claim 1, characterized in that, Step S2 includes: Obtain the product's historical quality inspection records, as well as the product's historical gas-assisted injection molding records for marking and features; Obtain historical gas-assisted injection molding records for each characteristic. From these records, extract the average value μ and standard deviation σ of a specific injection molding process parameter. Construct the y-th data range Q for this injection molding process parameter. y =[μ-y×σ,μ+y×σ]; Obtain the value of a certain injection molding process parameter in the y-th data range Q y Total number of characteristic historical gas-assisted injection molding records within Obtain the total number of historical gas-assisted injection molding records for each feature of the product. Calculate the detection accuracy for the y-th data range. ; Obtain the value of a certain injection molding process parameter in the y-th data range Q y Total number of historical gas-assisted injection molding records within the scope Obtain the total number of historical gas-assisted injection molding records for each product's markings. Calculate the qualified false positive value for the y-th data range. ; Set a qualified false detection threshold And the detection accuracy threshold G´, when And G y When >G´, then for the y-th data range Q y Mark the data and record it as the marking data range for a certain injection molding process parameter; Get the range Q of the y-th data. y Range length L y =2×y×σ, to obtain the minimum value L of the range length of the marked data range for a certain injection molding process parameter. min Obtain the minimum value L min The corresponding range of marked data is recorded as the target data range for a certain injection molding process parameter; Obtain the gas-assisted injection molding record of the product in the current cycle, retrieve the value of a certain injection molding process parameter from the gas-assisted injection molding record, and if the value of a certain injection molding process parameter is not within the target data range, then record the certain injection molding process parameter as the target injection molding process parameter; Obtain the interrelationship data of the products, extract the channels in the mold that are related to the target injection molding process parameters from the interrelationship data, and record them as target channels. Obtain the gas parameters in the target channels that are related to the target injection molding process parameters, and record them as target gas parameters.

5. The method for managing multi-channel gas-assisted injection molding process parameters according to claim 1, characterized in that, Step S4 includes: Acquire target gas data, and from the target gas data, obtain the target values ​​and compensation ranges of the target gas parameters for the target channel; Obtain the values ​​of each gas parameter in each channel of the gas-assisted injection molding record of the product in the current cycle, and replace the value of the target gas parameter in the target channel in the gas-assisted injection molding record with the target value of the target gas parameter in the target channel; Based on the values ​​of various gas parameters in each channel of the gas-assisted injection molding record after replacement, the injection molding equipment is controlled to inject gas into each channel of the mold, and the injection molding process parameters of the product are optimized. Within the compensation range of the target gas parameters in the target channel, the target gas parameters are adjusted until the product qualification rate of the product in the current cycle is greater than the preset threshold. When the product qualification rate exceeds a preset threshold, the gas parameter values ​​of each channel in the mold are collected to obtain characteristic gas auxiliary data. This characteristic gas auxiliary data is then uploaded to the platform. Based on the characteristic gas auxiliary data, the channels of the mold are used to provide gas assistance for the injection molding process parameters during product production.

6. A multi-channel gas-assisted injection molding process parameter management system, used to execute the multi-channel gas-assisted injection molding process parameter management method according to any one of claims 1-5, characterized in that, The system includes a correlation analysis module, a target channel determination module, a parameter compensation analysis module, and a gas-assisted injection molding module; The correlation analysis module is used to acquire historical gas-assisted injection molding records of the product, analyze the correlation strength between gas parameters in different channels of the mold and injection molding process parameters in product production, and obtain correlation data. The target channel determination module is used to acquire the product's historical quality inspection records, determine the target injection molding process parameters, and determine the target channel in the mold by combining the interrelated data. The parameter compensation analysis module is used to analyze the degree of compensation of the target gas parameters to the associated gas parameters under different adjustment ranges, and to obtain the target gas data. The gas-assisted injection molding module is used to provide gas assistance to the injection molding process parameters during product production using different channels in the mold, based on the target gas data.

7. The multi-channel gas-assisted injection molding process parameter management system according to claim 6, characterized in that, The correlation analysis module includes a data acquisition unit and a correlation analysis unit; The data acquisition unit is used to acquire historical gas-assisted injection molding records, acquire the values ​​of various gas parameters of each channel of the mold from the historical gas-assisted injection molding records, and acquire the values ​​of various injection molding process parameters in product production from the historical auxiliary injection molding records. The correlation analysis unit is used to analyze the correlation between various gas parameters of each channel and injection molding process parameters, analyze the coupling correlation between various gas parameters of each channel, and obtain interrelated data.

8. The multi-channel gas-assisted injection molding process parameter management system according to claim 6, characterized in that, The target channel determination module includes a target process parameter determination unit and a target channel determination unit; The target process parameter determination unit is used to acquire the product's historical quality inspection records and determine the target injection molding process parameters during the product manufacturing process. The target channel determination unit is used to obtain channels that are related to the target injection molding process parameters based on interrelated data, and determine them as target channels.

9. A multi-channel gas-assisted injection molding process parameter management system according to claim 6, characterized in that, The parameter compensation analysis module includes a reference record acquisition unit and a parameter compensation analysis unit; The reference record acquisition unit is used to acquire the channel gas vector and injection molding process vector of the product in the current cycle, and acquire the reference gas-assisted injection molding record. The parameter compensation analysis unit is used to determine the compensation direction of the target gas parameter based on the reference gas-assisted injection molding record and in combination with the interrelated data, analyze the degree of compensation of the target gas parameter to the related gas parameter under different adjustment ranges, and obtain the target gas data.

10. A multi-channel gas-assisted injection molding process parameter management system according to claim 6, characterized in that, The gas-assisted injection molding module includes a gas-assisted injection molding unit; The gas-assisted injection molding unit is used to acquire target gas data, obtain the target value and compensation range of the target gas parameter of the target channel from the target gas data, acquire characteristic gas auxiliary data, and use the mold channel to provide gas assistance to the injection molding process parameters during product production based on the characteristic gas auxiliary data.

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