A method and system for preparing silicone rubber products based on component distribution ratio control

Abstract

The present application relates to the technical field of silicone rubber product preparation, and particularly relates to a silicone rubber product preparation method and system based on component proportioning control, which comprises the following steps: obtaining raw silicone rubber to be processed, performing thin passing operation on the raw silicone rubber to be processed to obtain rubber sheets and a thin passing completion time of the rubber sheets, cooling the rubber sheets to obtain unvulcanized base rubber, obtaining a plurality of fine gradient rubber materials based on the unvulcanized base rubber, obtaining a fitting straight line slope sequence based on the plurality of fine gradient rubber materials, performing theoretical optimal crosslinking agent addition amount calculation operation according to the fitting straight line slope sequence to obtain the theoretical optimal crosslinking agent addition amount, and obtaining qualified silicone rubber products or unqualified silicone rubber products based on the theoretical optimal crosslinking agent addition amount and the thin passing completion time of the rubber sheets. The present application can improve the stability of the quality of silicone rubber products.

Description

Technical Field

[0001] This invention relates to the field of silicone rubber product preparation technology, and in particular to a method and system for preparing silicone rubber products based on component ratio control. Background Technology

[0002] Silicone rubber products are typically made by vulcanizing a mixture of base raw rubber and a crosslinking agent. The mixing ratio of the base raw rubber and the crosslinking agent during vulcanization is a crucial factor determining the final performance of the product. Currently, the traditional method for determining the mixing ratio mainly relies on operator experience for adjustment or by preparing multiple sets of test pieces, testing mechanical properties, and then selecting the mixing ratio corresponding to the peak value as the final ratio used for production.

[0003] However, both of the above traditional methods have the following drawbacks: First, the quality of the formulation can only be judged after the rubber compound is fully vulcanized and destructive testing is conducted, resulting in a long formulation adjustment cycle and wasted raw materials. Second, using the maximum tensile strength or hardness as the final formulation may ignore the processing fluidity of the rubber compound, easily leading to molding defects such as incomplete filling of complex products. In addition, a fixed formulation cannot adapt to seasonal changes in workshop ambient temperature. At high temperatures, the rubber compound is prone to early scorching, and at low temperatures, the vulcanization rate is insufficient, resulting in large fluctuations in product quality between different batches.

[0004] Therefore, improving the stability of silicone rubber product quality is an urgent technical problem to be solved. Summary of the Invention

[0005] This invention provides a method and system for preparing silicone rubber products based on component ratio control, the main purpose of which is to improve the stability of silicone rubber product quality.

[0006] To achieve the above objectives, the present invention provides a method for preparing silicone rubber products based on component ratio control, comprising:

[0007] Obtain raw silicone rubber to be processed, and use a pre-constructed two-roll open mill to perform a thin-pass operation on the raw silicone rubber to be processed to obtain a sheet and the sheet thin-pass completion time;

[0008] The film is cooled to obtain an uncured base rubber, and multiple fine-gradient rubber compounds are obtained based on the uncured base rubber.

[0009] The slope sequence of the fitted straight line is obtained based on multiple fine gradient rubber materials;

[0010] The theoretical optimal amount of crosslinking agent is calculated based on the slope sequence of the fitted straight line to obtain the theoretical optimal amount of crosslinking agent.

[0011] Based on the theoretically optimal amount of crosslinking agent and the film thinning completion time, qualified or unqualified silicone rubber products are obtained.

[0012] Optionally, obtaining multiple fine-gradient rubber compounds based on uncured base rubber includes:

[0013] Multiple uncured base rubber samples were extracted based on a preset fixed mass to confirm the theoretical crosslinking agent mass. Based on the multiple uncured base rubber samples and the theoretical crosslinking agent mass, a preliminary gelation threshold was obtained.

[0014] Based on the preliminary gelation threshold and the preset ratio, the neighborhood radius is optimized to construct the gelation threshold range, and the gradient step size is calculated based on the preset gradient increment and the preliminary gelation threshold.

[0015] A fine set of crosslinking agent addition amounts and a fine set of uncured base rubber samples were obtained based on the gelation threshold range and gradient step size.

[0016] Multiple fine gradient rubber compounds were obtained by mixing the fine crosslinking agent addition set and the fine uncured base rubber sample set in pairs.

[0017] Optionally, obtaining the preliminary gelation threshold based on multiple uncured base rubber samples and the theoretical crosslinking agent quality includes:

[0018] Multiple crosslinking agent addition amounts are calculated based on preset multiple crosslinking agent addition coefficients and theoretical crosslinking agent mass, wherein the crosslinking agent addition amount corresponds one-to-one with the uncured base rubber sample;

[0019] Multiple amounts of crosslinking agent were mixed with multiple uncured rubber samples to obtain multiple mixed rubber compounds. The following operations were performed on each of the multiple mixed rubber compounds:

[0020] The mixed rubber compound was subjected to isothermal shearing operation in a closed mixing chamber using a pre-constructed torque rheometer to obtain a set of torque values ​​and a set of torque value acquisition time.

[0021] A torque-time curve of the mixed rubber compound is constructed based on the torque value set and torque value acquisition time set of the mixed rubber compound.

[0022] The slope abrupt change detection was performed on the torque-time curve of the mixed rubber compound to obtain the amount of candidate crosslinking agent to be added.

[0023] The amount of candidate crosslinking agents added is summarized to obtain a set of candidate crosslinking agent addition amounts. The minimum value of the candidate crosslinking agent addition amount set is extracted to obtain the preliminary gelation threshold.

[0024] Optionally, obtaining the slope sequence of the fitted straight line based on multiple fine-gradient rubber compounds includes:

[0025] For each of the multiple fine-gradient rubber compounds, the following operation is performed:

[0026] Set multiple frequency points, and extract frequency points from multiple frequency points in sequence;

[0027] The loss factor was obtained by performing dynamic frequency scanning on fine-gradient rubber compounds using a pre-built rubber processing analyzer and the extracted frequency points.

[0028] Summarize the loss factors to obtain the loss factor set, and perform univariate linear regression fitting on the loss factor set and multiple frequency points to obtain the fitted straight line.

[0029] Based on the fitted line, the slope of the fitted line is determined, and the slopes of the fitted lines are summarized to obtain the set of fitted line slopes;

[0030] The slope sets of the fitted lines are sorted in ascending order of the amount of fine crosslinking agent added to obtain the slope sequence of the fitted lines.

[0031] Optionally, the step of calculating the theoretically optimal crosslinking agent addition amount based on the slope sequence of the fitted straight line to obtain the theoretically optimal crosslinking agent addition amount includes:

[0032] The slopes of the fitted lines are extracted sequentially from the sequence of fitted line slopes, and the slopes of adjacent fitted lines are identified from the sequence of fitted line slopes based on the extracted slopes.

[0033] If the slope of the extracted fitted line is less than the preset zero value, and the slope of the adjacent fitted line is greater than the zero value, then the crosslinking agent addition amount group is identified from the fine crosslinking agent addition amount set based on the slope of the extracted fitted line and the slope of the adjacent fitted line. The mean of the crosslinking agent addition amount group is calculated to obtain the theoretical optimal crosslinking agent addition amount.

[0034] If the slope of the extracted fitted line is not less than zero, or the slope of the adjacent fitted line is not greater than zero, then the slope of the adjacent fitted line is taken as the slope of the extracted fitted line, and the process returns to the step of identifying the slope of the adjacent fitted line from the fitted line slope sequence based on the extracted fitted line slope, until the slope of the extracted fitted line is less than zero and the slope of the adjacent fitted line is greater than zero.

[0035] Optionally, the step of obtaining qualified or unqualified silicone rubber products based on the theoretically optimal crosslinking agent addition amount and film thinning completion time includes:

[0036] The theoretically optimal amount of crosslinking agent was adjusted based on the film thinning process completion time to obtain the final amount of crosslinking agent.

[0037] The uncured base rubber and the pre-constructed crosslinking agent are mixed based on the final crosslinking agent addition amount to obtain a mixed rubber compound;

[0038] The mixed rubber compound is injected into a mold to form a preliminary silicone rubber product blank. The preliminary silicone rubber product blank is then demolded to obtain a demolded silicone rubber product.

[0039] The demolded silicone rubber product is cooled to obtain a cooled silicone rubber product, and multiple product inspection points are identified based on the cooled silicone rubber product.

[0040] The performance of cooled silicone rubber products was tested based on multiple product testing points to obtain the measured hardness values ​​at multiple testing points. The average value of the measured hardness values ​​at multiple testing points was calculated to obtain the measured hardness value.

[0041] The predicted hardness value is obtained based on the final crosslinking agent addition amount, and the hardness deviation rate is calculated based on the measured hardness value and the predicted hardness value.

[0042] If the hardness deviation rate is less than or equal to the preset standard hardness deviation rate, the cooled silicone rubber product is considered a qualified silicone rubber product.

[0043] If the hardness deviation rate is greater than the standard hardness deviation rate, the cooled silicone rubber product will be considered a substandard silicone rubber product.

[0044] Optionally, the step of correcting the theoretically optimal crosslinking agent addition amount based on the film thinning completion time to obtain the final crosslinking agent addition amount includes:

[0045] Obtain the current workshop ambient temperature and the current vulcanization preparation time, and calculate the actual storage time of the rubber compound based on the current vulcanization preparation time and the completion time of the thin film.

[0046] The correction value for the amount of crosslinking agent added is calculated based on the actual storage time of the rubber compound and the current ambient temperature of the workshop.

[0047] The difference between the theoretically optimal amount of crosslinking agent and the correction value of the amount of crosslinking agent is calculated to obtain the final amount of crosslinking agent.

[0048] Optionally, the formula for calculating the correction value of the crosslinking agent addition amount is as follows:

[0049] ;

[0050] in, This indicates the correction value for the amount of crosslinking agent added. This indicates the current ambient temperature in the workshop. This indicates the actual time the rubber compound was left to stand. This represents the preset temperature compensation coefficient. This represents the preset time compensation coefficient.

[0051] Optionally, the formula for calculating the hardness deviation rate is as follows:

[0052] ;

[0053] in, Indicates the hardness deviation rate. This represents the measured hardness value. This indicates the predicted hardness value.

[0054] To achieve the above objectives, the present invention also provides a silicone rubber product preparation system based on component ratio control, comprising:

[0055] The base material preparation module is used to obtain the raw silicone rubber to be processed, and to perform a thin-pass operation on the raw silicone rubber to be processed using a pre-constructed two-roll open mill to obtain the film and the film thin-pass completion time.

[0056] The gradient ratio acquisition module is used to cool the film to obtain uncured base rubber, and to obtain multiple fine gradient rubber materials based on the uncured base rubber;

[0057] The optimal addition amount locking module is used to obtain the slope sequence of the fitted straight line based on multiple fine gradient rubber materials, and to perform the theoretical optimal crosslinking agent addition amount calculation operation based on the slope sequence of the fitted straight line to obtain the theoretical optimal crosslinking agent addition amount;

[0058] The silicone rubber product determination module is used to determine whether a silicone rubber product is qualified or unqualified based on the theoretically optimal amount of crosslinking agent and the film thinning completion time.

[0059] To address the above problems, the present invention also provides an electronic device, the electronic device comprising:

[0060] Memory, storing at least one instruction;

[0061] The processor executes the instructions stored in the memory to implement the above-described method for preparing silicone rubber products based on component ratio control.

[0062] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the aforementioned method for preparing silicone rubber products based on component ratio control.

[0063] To address the problems described in the background section, this invention eliminates the need for complete vulcanization of the rubber compound and the destruction of the silicone rubber product. It allows for the determination of the theoretically optimal crosslinking agent dosage through rheological testing, shortening the formulation adjustment time and reducing waste of rubber compound and energy. Secondly, the theoretically optimal crosslinking agent dosage determined by this invention ensures that the silicone rubber product will not be too soft or lack strength due to insufficient crosslinking agent, nor will it be too hard or unable to flow due to excessive crosslinking agent. This avoids problems such as incomplete mold filling or brittleness and cracking after vulcanization in complex products. Finally, this invention can automatically adjust the crosslinking agent dosage based on the actual workshop temperature and the rubber compound's storage time, thereby ensuring the stability of each batch of products. Therefore, this invention improves the stability of silicone rubber product quality. Attached Figure Description

[0064] Figure 1 This is a schematic flowchart of a method for preparing silicone rubber products based on component ratio control according to an embodiment of the present invention;

[0065] Figure 2 A functional block diagram of a silicone rubber product preparation system based on component ratio control provided in an embodiment of the present invention;

[0066] Figure 3 This is a schematic diagram of the structure of an electronic device that implements the method for preparing silicone rubber products based on component ratio control, according to an embodiment of the present invention.

[0067] Explanation of reference numerals in the attached figures:

[0068] 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0069] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0070] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0071] This application provides a method for preparing silicone rubber products based on component ratio control. The execution entity of this method includes, but is not limited to, at least one electronic device configured to execute the method provided in this application, such as a server or a terminal. In other words, the method for preparing silicone rubber products based on component ratio control can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0072] Reference Figure 1 The diagram shown is a schematic flow chart of a method for preparing silicone rubber products based on component ratio control according to an embodiment of the present invention. In this embodiment, the method for preparing silicone rubber products based on component ratio control includes:

[0073] S1. Obtain the raw silicone rubber to be processed, and use a pre-constructed two-roll open mill to perform a thin-pass operation on the raw silicone rubber to be processed to obtain a sheet and the sheet thin-pass completion time.

[0074] It should be explained that the raw silicone rubber to be processed is methyl vinyl silicone rubber raw material that has not undergone any mixing or compounding. A two-roll mill is a device consisting of two parallel, counter-rotating metal rollers with an adjustable gap between them. The raw silicone rubber to be processed is sheared and extruded through the roller surfaces. The steps for performing a thin-pass operation on the raw silicone rubber to be processed using a pre-constructed two-roll mill are as follows: First, adjust the roller gap of the two-roll mill to 0.5mm, start the two-roll mill, and feed the raw silicone rubber to be processed into the gap between the two metal rollers, allowing it to adhere to the surface of the metal rollers and rotate with them. Once the raw silicone rubber is completely adhered to the surface of the metal rollers, the operator uses a stainless steel cutter to scrape off the rubber sheet from the surface of the metal rollers. The sheet is then rotated 90 degrees and reintroduced into the gap, and this process is repeated 10 times. The sheet is the sheet-like rubber material formed after the raw silicone rubber to be processed undergoes the thin-pass operation on the two-roll mill. The film thinning completion time is the moment when the final thinning operation ends and the film is completely peeled off from the roll surface of the two-roll open mill.

[0075] S2. Cool the film to obtain uncured base rubber, and obtain multiple fine gradient rubber materials based on the uncured base rubber.

[0076] Specifically, the method of obtaining multiple fine-gradient rubber compounds based on uncured base rubber includes:

[0077] Multiple uncured base rubber samples were extracted based on a preset fixed mass to confirm the theoretical crosslinking agent mass. Based on the multiple uncured base rubber samples and the theoretical crosslinking agent mass, a preliminary gelation threshold was obtained.

[0078] Based on the preliminary gelation threshold and the preset ratio, the neighborhood radius is optimized to construct the gelation threshold range, and the gradient step size is calculated based on the preset gradient increment and the preliminary gelation threshold.

[0079] A fine set of crosslinking agent addition amounts and a fine set of uncured base rubber samples were obtained based on the gelation threshold range and gradient step size.

[0080] Multiple fine gradient rubber compounds were obtained by mixing the fine crosslinking agent addition set and the fine uncured base rubber sample set in pairs.

[0081] It should be explained that the cooling of the film involves laying the film flat on a stainless steel tray lined with a polyethylene film for cooling. The uncured base rubber is the film after cooling. The fixed mass is the mass weighed from the homogenized base rubber compound each time. The uncured base rubber sample is a sample extracted from the uncured base rubber according to the fixed mass. The steps for obtaining the theoretical crosslinking agent mass are as follows: Based on the vinyl content of the raw silicone rubber to be processed, calculate the total number of moles of vinyl by multiplying the fixed mass and the vinyl content of the raw rubber.

[0082] The hydrogen equivalent of the crosslinking agent is obtained, and the theoretical crosslinking agent mass is calculated by multiplying the hydrogen equivalent of the crosslinking agent and the total molar number of vinyl groups. The vinyl content of the raw rubber is the proportion of vinyl functional groups in the raw silicone rubber to be processed, expressed in mol / g. The vinyl content of the raw rubber is provided by the raw rubber manufacturer. The total molar number of vinyl groups is the total amount of substance of vinyl functional groups contained in a fixed mass of uncured base rubber sample, expressed in mol. The hydrogen equivalent of the crosslinking agent is the amount of substance of silane-hydrogen bonds contained in each gram of crosslinking agent, expressed in mol / g. The theoretical crosslinking agent mass is the mass of crosslinking agent required to react completely according to the stoichiometric ratio (i.e., a molar ratio of Si-H to Si-Vi of 1:1), expressed in g.

[0083] Furthermore, the optimal neighborhood radius is a pre-set value used to construct a gelation threshold interval with the initial gelation threshold. The gelation threshold interval is a continuous interval consisting of a lower limit and an upper limit. The lower limit is the initial gelation threshold minus the optimal neighborhood radius, and the upper limit is the initial gelation threshold plus the optimal neighborhood radius. The gradient increment is a pre-set interval between two adjacent fine crosslinking agent addition amounts when performing fine sampling within the gelation threshold interval. The gradient step size is the product of the gradient increment and the initial gelation threshold. The step of obtaining the fine crosslinking agent addition set based on the gelation threshold interval and the gradient step size is as follows: starting from the lower limit of the gelation threshold interval, the gradient step size is added to the lower limit to obtain the first accumulated value (i.e., the fine crosslinking agent addition amount). Then, the first accumulated value is added to the gradient step size to obtain the second accumulated value (i.e., the fine crosslinking agent addition amount), until the accumulated value is greater than or equal to the upper limit of the gelation threshold interval. All accumulated values ​​are then summed to obtain the fine crosslinking agent addition set. The fine uncured base rubber sample set is a collection of samples extracted from uncured base rubber with fixed quality values. The pairwise mixing of the fine crosslinking agent addition set and the fine uncured base rubber sample set involves taking the i-th fine uncured base rubber sample from the fine uncured base rubber sample set, adding the i-th crosslinking agent addition amount from the fine crosslinking agent addition set, and mixing. The resulting rubber compound is a fine gradient rubber compound. This operation is performed on all fine uncured base rubber samples until all uncured base rubber samples have undergone crosslinking agent addition.

[0084] For example, the set of fine crosslinking agent additions is {A, B, C}, and the set of fine uncured base rubber samples is {D, E, F}. The fine crosslinking agent addition sets and the fine uncured base rubber samples are mixed in pairs to obtain multiple fine gradient rubber compounds {AD, BE, CF}.

[0085] It should be noted that the fixed mass is set according to the standard filling amount of the mold cavity of the rubber processing analyzer.

[0086] Specifically, the gradient increment was set as follows: In previous experiments, four candidate gradient increments of 0.2%, 0.5%, 1.0%, and 2.0% of the initial gelation threshold were used for comparative testing. The following operation was performed on each of the four candidate gradient increments:

[0087] Multiple fine-gradient rubber compounds are prepared based on candidate gradient increments, and scanned using a rubber processing analyzer to obtain multiple loss factor sets. Each loss factor set corresponds one-to-one with a fine-gradient rubber compound. Multiple fitted lines corresponding to the candidate gradient increments are obtained from these loss factor sets. The slopes of these fitted lines are extracted and sorted to obtain a sequence of fitted line slopes. The fitted line slope sequences corresponding to four candidate gradient increments are then summarized to obtain multiple fitted line slope sequences. Among these four sequences, the candidate gradient increment whose slope clearly changes from negative to positive is selected as the candidate gradient increment to be screened. The smallest candidate gradient increment is then selected as the gradient increment. The method for preparing multiple fine-gradient rubber compounds based on candidate gradient increments is the same as the method for preparing multiple fine-gradient rubber compounds based on gradient increments. The method for obtaining multiple fitted lines corresponding to candidate gradient increments from multiple loss factor sets is the same as the method for obtaining fitted lines based on fine-gradient rubber compounds, and will not be repeated here.

[0088] Specifically, the method for setting the optimal neighborhood radius is as follows: taking the initial gelation threshold as the center point, 1%, 2%, 3%, and 5% of the initial gelation threshold are selected as candidate radii. For each candidate radius, a fine gradient rubber compound is prepared according to the same gradient increment. The multiple sets of fine gradient rubber compounds obtained under each candidate radius are scanned using a rubber processing analyzer to obtain multiple fitted lines corresponding to the candidate radius. The horizontal axis of the fitted line is the amount of crosslinking agent added, and the vertical axis of the fitted line is the slope of the fitted line. Based on multiple fitted lines, a sequence of fitted line slopes is obtained. The sequence of fitted line slopes corresponding to all candidate radii is summarized. For the scanning results of all candidate radii, it is checked whether the turning point of the slope changing from negative to positive can be clearly seen in the sequence of fitted line slopes corresponding to each candidate radius. All candidate radii that meet the above conditions are taken out, and the smallest candidate radius among the candidate radii that meet the above conditions is selected as the optimal neighborhood radius.

[0089] Specifically, the preliminary gelation threshold obtained based on multiple uncured base rubber samples and theoretical crosslinking agent quality includes:

[0090] Multiple crosslinking agent addition amounts are calculated based on preset multiple crosslinking agent addition coefficients and theoretical crosslinking agent mass, wherein the crosslinking agent addition amount corresponds one-to-one with the uncured base rubber sample;

[0091] Multiple amounts of crosslinking agent were mixed with multiple uncured rubber samples to obtain multiple mixed rubber compounds. The following operations were performed on each of the multiple mixed rubber compounds:

[0092] The mixed rubber compound was subjected to isothermal shearing operation in a closed mixing chamber using a pre-constructed torque rheometer to obtain a set of torque values ​​and a set of torque value acquisition time.

[0093] A torque-time curve of the mixed rubber compound is constructed based on the torque value set and torque value acquisition time set of the mixed rubber compound.

[0094] The slope abrupt change detection was performed on the torque-time curve of the mixed rubber compound to obtain the amount of candidate crosslinking agent to be added.

[0095] The amount of candidate crosslinking agents added is summarized to obtain a set of candidate crosslinking agent addition amounts. The minimum value of the candidate crosslinking agent addition amount set is extracted to obtain the preliminary gelation threshold.

[0096] It should be explained that the crosslinking agent addition coefficient is a pre-set coefficient used to calculate the actual crosslinking agent addition amount. The crosslinking agent addition amount is the crosslinking agent mass obtained by multiplying the theoretical crosslinking agent mass by the crosslinking agent addition coefficient, and the unit is g. The mixed rubber compound is the rubber compound obtained by adding the crosslinking agent to a certain uncured base rubber sample and mixing it thoroughly. The torque rheometer closed mixing chamber is a closed cavity in the torque rheometer used to contain the rubber compound and perform isothermal shearing. The isothermal shearing operation is the operation in which the mixed rubber compound is placed in the torque rheometer closed mixing chamber and continuously sheared by the rotor of the torque rheometer closed mixing chamber under constant temperature (e.g., 160℃) and constant speed (e.g., 5r / min). The mixed rubber compound torque value set is the set of torque values ​​continuously collected by the torque rheometer at a certain frequency during a single isothermal shearing test. The torque value acquisition time set is the set of time points that correspond one-to-one with each mixed rubber compound torque value in the mixed rubber compound torque value set. The torque-time curve of the mixed rubber compound is constructed by using the torque value acquisition time of the torque value acquisition time set as the horizontal axis and the mixed rubber compound torque value of the mixed rubber compound torque value set as the vertical axis.

[0097] Further, the step of detecting abrupt slope changes in the torque-time curve of the mixed rubber compound to obtain the candidate crosslinking agent addition amount is as follows: Using a 60-second sliding detection window, the detection window slides along the time direction of the torque-time curve. Starting from the beginning of the torque-time curve, all torque values ​​of the mixed rubber compound corresponding to the previous window are extracted according to the sliding detection window. Then, using the acquisition time of the last torque value in the previous window as the starting point, all torque values ​​of the mixed rubber compound corresponding to the current window are extracted from the torque-time curve based on this starting point and the sliding detection window. The average value of all torque values ​​of the mixed rubber compound corresponding to the previous window is calculated as the initial average value. The average value of all torque values ​​of the mixed rubber compound corresponding to the current window is calculated as the final average value. The percentage of the difference between the final average value and the initial average value relative to the initial average value is calculated. When this percentage is greater than or equal to 300% for the first time, the acquisition time of the last torque value in the current window is taken as the slope abrupt change point, and this acquisition time is marked as the gelation start time. The crosslinking agent addition amount corresponding to this set of experiments is recorded as the candidate crosslinking agent addition amount. The candidate crosslinking agent addition amount set is a collection composed of candidate crosslinking agent addition amounts. The initial gelation threshold is the minimum amount of candidate crosslinking agent added within the candidate crosslinking agent addition range. It should be noted that, since this embodiment extracts a window from the beginning of the torque-time curve of the mixed rubber compound, the beginning of one window is the end point of the previous window.

[0098] S3. Obtain the slope sequence of the fitted straight line based on multiple fine gradient rubber materials.

[0099] Specifically, the step of obtaining the slope sequence of the fitted straight line based on multiple fine-gradient rubber materials includes:

[0100] For each of the multiple fine-gradient rubber compounds, the following operation is performed:

[0101] Set multiple frequency points, and extract frequency points from multiple frequency points in sequence;

[0102] The loss factor was obtained by performing dynamic frequency scanning on fine-gradient rubber compounds using a pre-built rubber processing analyzer and the extracted frequency points.

[0103] Summarize the loss factors to obtain the loss factor set, and perform univariate linear regression fitting on the loss factor set and multiple frequency points to obtain the fitted straight line.

[0104] Based on the fitted line, the slope of the fitted line is determined, and the slopes of the fitted lines are summarized to obtain the set of fitted line slopes;

[0105] The slope sets of the fitted lines are sorted in ascending order of the amount of fine crosslinking agent added to obtain the slope sequence of the fitted lines.

[0106] It needs to be explained that the frequency point is the numerical value of the oscillation frequency when the rubber processing analyzer applies a sinusoidal oscillatory shear force to the fine-gradient rubber compound. The rubber processing analyzer is an instrument used to test the dynamic viscoelastic properties of rubber materials. The loss factor is a mechanical parameter representing the viscoelastic nature of the rubber compound. The loss factor set is a collection of loss factors. The steps for performing univariate linear regression fitting on the loss factor set and multiple frequency points are as follows: taking the logarithm of the frequency points to the base 10 as the independent variable, and taking the logarithm of the corresponding loss factors to the base 10 as the dependent variable, and using the least squares method to fit a straight line to all independent and dependent variables. The fitted straight line is a straight line fitted with the independent variable as the horizontal axis and the dependent variable as the vertical axis. The slope of the fitted straight line is the slope value of the fitted straight line. The set of fitted straight line slopes is a collection of the slopes of the fitted straight lines. The sequence of fitted straight line slopes is a sequence formed by rearranging all the slopes of the fitted straight lines in the set of fitted straight line slopes in ascending order of the corresponding fine crosslinking agent addition amount.

[0107] S4. Calculate the theoretical optimal amount of crosslinking agent to be added based on the slope sequence of the fitted straight line.

[0108] In detail, the step of calculating the theoretically optimal crosslinking agent addition amount based on the slope sequence of the fitted straight line to obtain the theoretically optimal crosslinking agent addition amount includes:

[0109] The slopes of the fitted lines are extracted sequentially from the sequence of fitted line slopes, and the slopes of adjacent fitted lines are identified from the sequence of fitted line slopes based on the extracted slopes.

[0110] If the slope of the extracted fitted line is less than the preset zero value, and the slope of the adjacent fitted line is greater than the zero value, then based on the slope of the extracted fitted line and the slope of the adjacent fitted line, the crosslinking agent addition amount group is identified from the fine crosslinking agent addition amount set, and the mean of the crosslinking agent addition amount group is calculated to obtain the theoretical optimal crosslinking agent addition amount.

[0111] If the slope of the extracted fitted line is not less than zero, or the slope of the adjacent fitted line is not greater than zero, then the slope of the adjacent fitted line is taken as the slope of the extracted fitted line, and the process returns to the step of identifying the slope of the adjacent fitted line from the fitted line slope sequence based on the extracted fitted line slope, until the slope of the extracted fitted line is less than zero and the slope of the adjacent fitted line is greater than zero.

[0112] It should be explained that the slope of the adjacent fitted line is the slope of the fitted line following the extracted fitted line slope sequence. If the extracted fitted line slope is less than the preset zero value, and the slope of the adjacent fitted line is greater than zero, it means that between the two adjacent sets of crosslinking agent addition amounts, the slope of the fitted line changes from negative to positive, indicating that the theoretically optimal crosslinking agent addition amount lies between the crosslinking agent addition amount corresponding to the extracted fitted line slope and the adjacent fitted line slope. The crosslinking agent addition amount group is the set consisting of the two crosslinking agent addition amounts corresponding to each of the extracted fitted line slope and the adjacent fitted line slope. The theoretically optimal crosslinking agent addition amount is the average value of the crosslinking agent addition amounts in the crosslinking agent addition amount group. The zero value is 0.

[0113] It should be noted that the theoretical optimal amount of crosslinking agent added represents the amount of crosslinking agent added that corresponds to the critical point at which the rubber compound's properties change from relatively soft and fluid to relatively hard and resilient as the amount of crosslinking agent added increases. At this amount of crosslinking agent added, the rubber compound will not have low strength after vulcanization due to insufficient crosslinking agent, nor will it have poor fluidity before vulcanization due to excessive crosslinking agent, thus better balancing mechanical properties and processing properties.

[0114] S5. Obtain qualified or unqualified silicone rubber products based on the theoretically optimal amount of crosslinking agent and the film thinning completion time.

[0115] Specifically, the process of obtaining qualified or unqualified silicone rubber products based on the theoretically optimal crosslinking agent addition amount and film thinning completion time includes:

[0116] The theoretically optimal amount of crosslinking agent was adjusted based on the film thinning process completion time to obtain the final amount of crosslinking agent.

[0117] The uncured base rubber and the pre-constructed crosslinking agent are mixed based on the final crosslinking agent addition amount to obtain a mixed rubber compound;

[0118] The mixed rubber compound is injected into a mold to form a preliminary silicone rubber product blank. The preliminary silicone rubber product blank is then demolded to obtain a demolded silicone rubber product.

[0119] The demolded silicone rubber product is cooled to obtain a cooled silicone rubber product, and multiple product inspection points are identified based on the cooled silicone rubber product.

[0120] The performance of cooled silicone rubber products was tested based on multiple product testing points to obtain the measured hardness values ​​at multiple testing points. The average value of the measured hardness values ​​at multiple testing points was calculated to obtain the measured hardness value.

[0121] The predicted hardness value is obtained based on the final crosslinking agent addition amount, and the hardness deviation rate is calculated based on the measured hardness value and the predicted hardness value.

[0122] If the hardness deviation rate is less than or equal to the preset standard hardness deviation rate, the cooled silicone rubber product is considered a qualified silicone rubber product.

[0123] If the hardness deviation rate is greater than the standard hardness deviation rate, the cooled silicone rubber product will be considered a substandard silicone rubber product.

[0124] It should be explained that the crosslinking agent is an active substance used to initiate a chemical crosslinking reaction between the molecular chains of silicone rubber. For example, the crosslinking agent is a hydrogen-containing silicone oil. The mixed rubber compound is the rubber compound obtained by thoroughly mixing the uncured base rubber with the crosslinking agent corresponding to the final amount of crosslinking agent added. The injection molding operation of the mixed rubber compound involves loading the mixed rubber compound into the injection molding machine, starting the injection program, and injecting the mixed rubber compound into the preheated mold cavity through the mold gate under the push of the screw. After the mixed rubber compound completely fills the mold cavity, the injection is stopped. The silicone rubber preform is the mixed rubber compound located in the mold cavity. The demolded silicone rubber product is the product obtained after separating and removing the silicone rubber preform from the mold cavity. The cooling treatment method for the demolded silicone rubber product is the same as the cooling method for the rubber sheet, and will not be repeated here. The cooled silicone rubber product is the product obtained after the demolded silicone rubber product has undergone a cooling treatment operation. The product inspection point is a pre-selected location on the surface of the cooled silicone rubber product for hardness testing. The performance testing of cooled silicone rubber products based on multiple product testing points involves using a Shore hardness tester to test the hardness of the cooled silicone rubber product at each of the multiple product testing points. The measured hardness value at each testing point is the hardness value at that point. The measured hardness value is the average of the measured hardness values ​​from multiple testing points. Unqualified silicone rubber products are those cooled silicone rubber products whose hardness deviation rate exceeds the standard hardness deviation rate. Qualified silicone rubber products are those cooled silicone rubber products whose hardness deviation rate is less than or equal to the standard hardness deviation rate.

[0125] It should be noted that the step of obtaining the predicted hardness value based on the final crosslinking agent addition amount is as follows: In the process of dynamically scanning the fine gradient rubber compound using the pre-constructed rubber processing analyzer and the extracted frequency points described in this embodiment, after determining the theoretically optimal crosslinking agent addition amount, the RPA software simultaneously records the storage modulus corresponding to the theoretically optimal crosslinking agent addition amount. The storage modulus is then substituted into the pre-established standard curve equation of storage modulus versus hardness (this standard curve equation was obtained from previous experiments) to calculate the predicted hardness value corresponding to that crosslinking agent addition amount. The standard hardness deviation rate is the maximum value of the pre-set hardness deviation rate. The storage modulus is the ratio of the energy that the fine gradient rubber compound can store and elastically release during each deformation cycle in the dynamic oscillation shear process to the applied strain. If the hardness deviation rate is less than or equal to the preset standard hardness deviation rate, it indicates that the uniformity of the compound is good, the crosslinking agent addition amount is accurate, and the vulcanization process is under normal control. Therefore, the quality of the cooled silicone rubber product is qualified. If the hardness deviation rate is greater than the standard hardness deviation rate, it indicates that the compound may have problems such as uneven distribution of crosslinking agent, excessive weighing error, or abnormal vulcanization temperature control.

[0126] It should also be explained that the standard hardness deviation rate is set as follows: In previous experiments, a group of qualified silicone rubber products that have been confirmed to be uniformly mixed and fully vulcanized are selected as standard samples. Ten test points are evenly selected on the surface of the standard sample using a Shore hardness tester for hardness testing. The standard deviation and average hardness value of all test points are calculated. Three times the standard deviation is used as an estimate of the normal fluctuation range of hardness. Then, this estimate is divided by the average hardness value of the standard sample and converted into a percentage to obtain the preliminary reference value of the standard hardness deviation rate. Then, 0.5 times, 1.0 times, and 1.5 times the preliminary reference value are used as candidate thresholds to select three normally produced silicone rubber products. For the three silicone rubber products, the hardness deviation rate was calculated, resulting in three hardness deviation rates. From these three candidate thresholds, one candidate threshold was extracted. The extracted candidate threshold was then used to judge the three hardness deviation rates, resulting in three judgment results. If the three judgment results were completely consistent with the three actual qualities, the extracted candidate threshold was used as the candidate threshold to be screened. If the judgment result was inconsistent with the actual quality, the extracted candidate threshold was removed from the three candidate thresholds. The candidate thresholds to be screened were then summarized to obtain one or more candidate thresholds to be screened. The candidate threshold with the smallest value was selected as the standard hardness deviation rate.

[0127] In detail, the step of correcting the theoretically optimal crosslinking agent addition amount based on the film thinning completion time to obtain the final crosslinking agent addition amount includes:

[0128] Obtain the current workshop ambient temperature and the current vulcanization preparation time, and calculate the actual storage time of the rubber compound based on the current vulcanization preparation time and the completion time of the thin film.

[0129] The correction value for the amount of crosslinking agent added is calculated based on the actual storage time of the rubber compound and the current ambient temperature of the workshop.

[0130] The difference between the theoretically optimal amount of crosslinking agent and the correction value of the amount of crosslinking agent is calculated to obtain the final amount of crosslinking agent.

[0131] It should be explained that the current workshop ambient temperature is the actual ambient temperature of the mixing area within the production workshop. The current vulcanization preparation time is the specific moment when the operator prepares to inject the mixed rubber compound into the mold for vulcanization. The actual resting time of the rubber compound is the time interval between the completion of the thin-pass molding of the rubber sheet and the current vulcanization preparation time. The final crosslinking agent addition amount is the actual amount of crosslinking agent added to production after environmental compensation correction.

[0132] In detail, the formula for calculating the correction value of the crosslinking agent addition amount is as follows:

[0133] ;

[0134] in, This indicates the correction value for the amount of crosslinking agent added. This indicates the current ambient temperature in the workshop. This indicates the actual time the rubber compound was left to stand. This represents the preset temperature compensation coefficient. This represents the preset time compensation coefficient.

[0135] It should be noted that the crosslinking agent addition correction value is a compensation value that needs to be adjusted based on the theoretically optimal crosslinking agent addition value to eliminate the interference of workshop ambient temperature and rubber compound resting time on the vulcanization speed. In the above formula for calculating the crosslinking agent addition correction value, 0.003 means that for every 1 degree Celsius increase in workshop temperature above 23 degrees Celsius, the rubber compound will undergo partial crosslinking reaction earlier at high temperatures, resulting in a faster vulcanization speed. Therefore, in this embodiment, the above formula reduces the amount of crosslinking agent added based on the theoretically optimal addition value by 1 degree Celsius for every 1 degree Celsius increase. A crosslinking agent is used to slow down the vulcanization rate. Among them, This means that for every hour the rubber compound is left to stand, the active sites of the crosslinking agent inside the compound are consumed, resulting in a reduction in the amount of crosslinking agent actually participating in vulcanization. Therefore, in this embodiment, the above formula reduces the amount of crosslinking agent added based on the theoretically optimal amount for each hour of standing. A crosslinking agent is added to compensate for the activity lost during the storage period. The calculation formula for the crosslinking agent addition correction value in this embodiment ensures that the vulcanization rate of the rubber compound produced at different temperatures and storage times can return to the standard level, thereby guaranteeing that the degree of vulcanization of different batches of products is consistent.

[0136] Furthermore, the temperature compensation coefficient is a pre-set adjustment range for the amount of crosslinking agent added when the workshop ambient temperature deviates from the standard temperature (23 degrees Celsius) by 1 degree Celsius. The unit of the temperature compensation coefficient is parts / degree Celsius. The time compensation coefficient is a pre-set adjustment range for the amount of crosslinking agent added after the rubber compound has been mixed and left to stand for 1 hour. The unit of the time compensation coefficient is parts / hour. The temperature compensation coefficient is set as follows: the same batch of mixed rubber is left to stand for the same amount of time at six temperatures: 10℃, 15℃, 20℃, 25℃, 30℃, and 35℃. The scorch time of the rubber compound is then tested at each temperature. Using the scorch time at the standard temperature (23℃) as a benchmark, a linear relationship between the scorch time and temperature is fitted. This relationship is then converted into the amount of crosslinking agent adjustment required to bring the scorch time back to the benchmark value. Finally, the temperature compensation coefficient is obtained through linear regression. The time compensation coefficient is set as follows: The same batch of rubber compound is left to stand at a standard temperature (23℃) for 0h, 2h, 4h, 8h, 12h, and 24h respectively. The scorch time of the compound is then measured for each standing time. Using the scorch time without standing time as a baseline, a linear relationship between scorch time and standing time is fitted. This relationship is then converted into the amount of crosslinking agent adjustment required to bring the scorch time back to the baseline. Finally, the time compensation coefficient is obtained through linear regression. The detailed formula for calculating the hardness deviation rate is shown below:

[0137] ;

[0138] in, Indicates the hardness deviation rate. This represents the measured hardness value. This indicates the predicted hardness value.

[0139] It should be explained that the hardness deviation rate is a percentage error used to determine whether a product's quality is up to standard. A smaller hardness deviation rate indicates that the measured hardness value is closer to the predicted hardness value, suggesting that the crosslinking agent is evenly distributed in the rubber compound, the weighing and feeding are accurate, and the temperature and time control during the vulcanization process is stable. A larger hardness deviation rate indicates that the measured hardness value deviates further from the predicted hardness value, suggesting that the crosslinking agent is unevenly distributed in the rubber compound, there are errors in weighing and feeding, or the temperature and time control during the vulcanization process is inappropriate.

[0140] To address the problems described in the background section, this invention allows for the rapid determination of the theoretically optimal crosslinking agent dosage through rheological testing, eliminating the need to wait for complete vulcanization or damage the silicone rubber product. This shortens formulation adjustment time and reduces waste of rubber and energy. Secondly, the theoretically optimal crosslinking agent dosage determined by this invention ensures that the silicone rubber product meets strength standards while guaranteeing complete filling of the mold. It avoids the problem of insufficient crosslinking agent leading to a soft or weak product, or excessive crosslinking agent causing a hard, unflowable product, thus preventing issues like incomplete mold filling or brittle cracking after vulcanization in complex products. Finally, this invention automatically adjusts the crosslinking agent dosage based on actual workshop temperature and rubber storage time—adding less in hot summers and more in cold winters, and replenishing as needed for longer storage periods—ensuring the stability of each batch. Therefore, this invention improves the quality stability of silicone rubber products.

[0141] like Figure 2 The diagram shown is a functional block diagram of a silicone rubber product preparation system based on component ratio control provided in an embodiment of the present invention.

[0142] The silicone rubber product preparation system 100 based on component ratio control described in this invention can be installed in an electronic device. Depending on the functions implemented, the silicone rubber product preparation system 100 may include a base material preparation module 101, a gradient ratio acquisition module 102, an optimal addition amount locking module 103, and a silicone rubber product determination module 104. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and which are stored in the memory of the electronic device.

[0143] The base material preparation module 101 is used to obtain raw silicone rubber to be processed, and to perform a thin-pass operation on the raw silicone rubber to be processed using a pre-constructed two-roll open mill to obtain a film and the film thin-pass completion time.

[0144] The gradient ratio acquisition module 102 is used to cool the film to obtain uncured base rubber, and to obtain multiple fine gradient rubber materials based on the uncured base rubber.

[0145] The optimal addition amount locking module 103 is used to obtain the slope sequence of the fitted straight line based on multiple fine gradient rubber materials, and to perform the theoretical optimal crosslinking agent addition amount calculation operation based on the slope sequence of the fitted straight line to obtain the theoretical optimal crosslinking agent addition amount.

[0146] The silicone rubber product determination module 104 is used to determine whether a silicone rubber product is qualified or unqualified based on the theoretically optimal amount of crosslinking agent added and the film thinning completion time.

[0147] In detail, the modules in the silicone rubber product preparation system 100 based on component ratio control described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The method used is the same as the one described above for preparing silicone rubber products based on component ratio control, and can produce the same technical effect, so it will not be repeated here.

[0148] like Figure 3 The diagram shown is a schematic representation of an electronic device that implements a method for preparing silicone rubber products based on component ratio control, according to an embodiment of the present invention.

[0149] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a method program for preparing silicone rubber products based on component ratio control.

[0150] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a silicone rubber product preparation method program based on component ratio control, but also to temporarily store data that has been output or will be output.

[0151] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a method for preparing silicone rubber products based on component ratio control) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0152] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0153] Figure 3 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0154] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0155] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0156] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0157] The silicone rubber product preparation method program based on component ratio control stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0158] Obtain raw silicone rubber to be processed, and use a pre-constructed two-roll open mill to perform a thin-pass operation on the raw silicone rubber to be processed to obtain a sheet and the sheet thin-pass completion time;

[0159] The film is cooled to obtain an uncured base rubber, and multiple fine-gradient rubber compounds are obtained based on the uncured base rubber.

[0160] The slope sequence of the fitted straight line is obtained based on multiple fine gradient rubber materials;

[0161] The theoretical optimal amount of crosslinking agent is calculated based on the slope sequence of the fitted straight line to obtain the theoretical optimal amount of crosslinking agent.

[0162] Based on the theoretically optimal amount of crosslinking agent and the film thinning completion time, qualified or unqualified silicone rubber products are obtained.

[0163] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0164] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0165] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following:

[0166] Obtain raw silicone rubber to be processed, and use a pre-constructed two-roll open mill to perform a thin-pass operation on the raw silicone rubber to be processed to obtain a sheet and the sheet thin-pass completion time;

[0167] The film is cooled to obtain an uncured base rubber, and multiple fine-gradient rubber compounds are obtained based on the uncured base rubber.

[0168] The slope sequence of the fitted straight line is obtained based on multiple fine gradient rubber materials;

[0169] The theoretical optimal amount of crosslinking agent is calculated based on the slope sequence of the fitted straight line to obtain the theoretical optimal amount of crosslinking agent.

[0170] Based on the theoretically optimal amount of crosslinking agent and the film thinning completion time, qualified or unqualified silicone rubber products are obtained.

[0171] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0172] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0173] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0174] 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 present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0175] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for preparing silicone rubber products based on component ratio control, characterized in that, The method includes: Obtain raw silicone rubber to be processed, and use a pre-constructed two-roll open mill to perform a thin-pass operation on the raw silicone rubber to be processed to obtain a sheet and the sheet thin-pass completion time; The film is cooled to obtain an uncured base rubber, and multiple fine-gradient rubber compounds are obtained based on the uncured base rubber. The slope sequence of the fitted straight line is obtained based on multiple fine gradient rubber materials; The theoretical optimal amount of crosslinking agent is calculated based on the slope sequence of the fitted straight line to obtain the theoretical optimal amount of crosslinking agent. Based on the theoretically optimal amount of crosslinking agent and the film thinning completion time, qualified or unqualified silicone rubber products are obtained.

2. The method for preparing silicone rubber products based on component ratio control as described in claim 1, characterized in that, The method of obtaining multiple fine-gradient rubber compounds based on uncured base rubber includes: Multiple uncured base rubber samples were extracted based on a preset fixed mass to confirm the theoretical crosslinking agent mass. Based on the multiple uncured base rubber samples and the theoretical crosslinking agent mass, a preliminary gelation threshold was obtained. Based on the preliminary gelation threshold and the preset ratio, the neighborhood radius is optimized to construct the gelation threshold range, and the gradient step size is calculated based on the preset gradient increment and the preliminary gelation threshold. A fine set of crosslinking agent addition amounts and a fine set of uncured base rubber samples were obtained based on the gelation threshold range and gradient step size. Multiple fine gradient rubber compounds were obtained by mixing the fine crosslinking agent addition set and the fine uncured base rubber sample set in pairs.

3. The method for preparing silicone rubber products based on component ratio control as described in claim 2, characterized in that, The preliminary gelation threshold is obtained based on multiple unvulcanized base rubber samples and the theoretical crosslinking agent quality, including: Multiple crosslinking agent addition amounts are calculated based on preset multiple crosslinking agent addition coefficients and theoretical crosslinking agent mass, wherein the crosslinking agent addition amount corresponds one-to-one with the uncured base rubber sample; Multiple amounts of crosslinking agent were mixed with multiple uncured rubber samples to obtain multiple mixed rubber compounds. The following operations were performed on each of the multiple mixed rubber compounds: The mixed rubber compound was subjected to isothermal shearing operation in a closed mixing chamber using a pre-constructed torque rheometer to obtain a set of torque values ​​and a set of torque value acquisition time. A torque-time curve of the mixed rubber compound is constructed based on the torque value set and torque value acquisition time set of the mixed rubber compound. The slope abrupt change detection was performed on the torque-time curve of the mixed rubber compound to obtain the amount of candidate crosslinking agent to be added. The amount of candidate crosslinking agents added is summarized to obtain a set of candidate crosslinking agent addition amounts. The minimum value of the candidate crosslinking agent addition amount set is extracted to obtain the preliminary gelation threshold.

4. The method for preparing silicone rubber products based on component ratio control as described in claim 3, characterized in that, The method of obtaining the slope sequence of the fitted straight line based on multiple fine gradient rubber materials includes: For each of the multiple fine-gradient rubber compounds, the following operation is performed: Set multiple frequency points, and extract frequency points from multiple frequency points in sequence; The loss factor was obtained by performing dynamic frequency scanning on fine-gradient rubber compounds using a pre-built rubber processing analyzer and the extracted frequency points. Summarize the loss factors to obtain the loss factor set, and perform univariate linear regression fitting on the loss factor set and multiple frequency points to obtain the fitted straight line. Based on the fitted line, the slope of the fitted line is determined, and the slopes of the fitted lines are summarized to obtain the set of fitted line slopes; The slope sets of the fitted lines are sorted in ascending order of the amount of fine crosslinking agent added to obtain the slope sequence of the fitted lines.

5. The method for preparing silicone rubber products based on component ratio control as described in claim 4, characterized in that, The step of calculating the theoretically optimal crosslinking agent addition amount based on the slope sequence of the fitted straight line to obtain the theoretically optimal crosslinking agent addition amount includes: The slopes of the fitted lines are extracted sequentially from the sequence of fitted line slopes, and the slopes of adjacent fitted lines are identified from the sequence of fitted line slopes based on the extracted slopes. If the slope of the extracted fitted line is less than the preset zero value, and the slope of the adjacent fitted line is greater than the zero value, then based on the slope of the extracted fitted line and the slope of the adjacent fitted line, the crosslinking agent addition amount group is identified from the fine crosslinking agent addition amount set, and the mean of the crosslinking agent addition amount group is calculated to obtain the theoretical optimal crosslinking agent addition amount. If the slope of the extracted fitted line is not less than zero, or the slope of the adjacent fitted line is not greater than zero, then the slope of the adjacent fitted line is taken as the slope of the extracted fitted line, and the process returns to the step of identifying the slope of the adjacent fitted line from the fitted line slope sequence based on the extracted fitted line slope, until the slope of the extracted fitted line is less than zero and the slope of the adjacent fitted line is greater than zero.

6. The method for preparing silicone rubber products based on component ratio control as described in claim 5, characterized in that, The process of obtaining qualified or unqualified silicone rubber products based on the theoretically optimal crosslinking agent addition amount and film thinning completion time includes: The theoretically optimal amount of crosslinking agent was adjusted based on the film thinning process completion time to obtain the final amount of crosslinking agent. The uncured base rubber and the pre-constructed crosslinking agent are mixed based on the final crosslinking agent addition amount to obtain a mixed rubber compound; The mixed rubber compound is injected into a mold to form a preliminary silicone rubber product blank. The preliminary silicone rubber product blank is then demolded to obtain a demolded silicone rubber product. The demolded silicone rubber product is cooled to obtain a cooled silicone rubber product, and multiple product inspection points are identified based on the cooled silicone rubber product. The performance of cooled silicone rubber products was tested based on multiple product testing points to obtain the measured hardness values ​​at multiple testing points. The average value of the measured hardness values ​​at multiple testing points was calculated to obtain the measured hardness value. The predicted hardness value is obtained based on the final crosslinking agent addition amount, and the hardness deviation rate is calculated based on the measured hardness value and the predicted hardness value. If the hardness deviation rate is less than or equal to the preset standard hardness deviation rate, the cooled silicone rubber product is considered a qualified silicone rubber product. If the hardness deviation rate is greater than the standard hardness deviation rate, the cooled silicone rubber product will be considered a substandard silicone rubber product.

7. The method for preparing silicone rubber products based on component ratio control as described in claim 6, characterized in that, The step of correcting the theoretically optimal crosslinking agent dosage based on the film thinning completion time to obtain the final crosslinking agent dosage includes: Obtain the current workshop ambient temperature and the current vulcanization preparation time, and calculate the actual storage time of the rubber compound based on the current vulcanization preparation time and the completion time of the thin film. The correction value for the amount of crosslinking agent added is calculated based on the actual storage time of the rubber compound and the current ambient temperature of the workshop. The difference between the theoretically optimal amount of crosslinking agent and the correction value of the amount of crosslinking agent is calculated to obtain the final amount of crosslinking agent.

8. The method for preparing silicone rubber products based on component ratio control as described in claim 7, characterized in that, The formula for calculating the correction value of the crosslinking agent addition amount is as follows: ； in, This indicates the correction value for the amount of crosslinking agent added. This indicates the current ambient temperature in the workshop. This indicates the actual time the rubber compound was left to stand. This represents the preset temperature compensation coefficient. This represents the preset time compensation coefficient.

9. The method for preparing silicone rubber products based on component ratio control as described in claim 8, characterized in that, The formula for calculating the hardness deviation rate is as follows: ； in, Indicates the hardness deviation rate. This represents the measured hardness value. This indicates the predicted hardness value.

10. A silicone rubber product preparation system based on component ratio control, characterized in that, The system includes: The base material preparation module is used to obtain the raw silicone rubber to be processed, and to perform a thin-pass operation on the raw silicone rubber to be processed using a pre-constructed two-roll open mill to obtain the film and the film thin-pass completion time. The gradient ratio acquisition module is used to cool the film to obtain uncured base rubber, and to obtain multiple fine gradient rubber materials based on the uncured base rubber; The optimal addition amount locking module is used to obtain the slope sequence of the fitted straight line based on multiple fine gradient rubber materials, and to perform the theoretical optimal crosslinking agent addition amount calculation operation based on the slope sequence of the fitted straight line to obtain the theoretical optimal crosslinking agent addition amount; The silicone rubber product determination module is used to determine whether a silicone rubber product is qualified or unqualified based on the theoretically optimal amount of crosslinking agent and the film thinning completion time.

Images