CN-122008430-A - Tire sizing material banburying method and system based on multi-parameter intelligent feedback

CN122008430ACN 122008430 ACN122008430 ACN 122008430ACN-122008430-A

Abstract

The invention discloses a multi-parameter intelligent feedback-based tire sizing material banburying method which comprises the steps of acquiring different historical characteristic curves and corresponding historical characteristic ranges based on historical effective mixing data, acquiring and acquiring current mixing data in a mixing cavity in real time, comparing the current mixing data with the corresponding historical data characteristic ranges, judging whether a parameter abnormality exists, judging the abnormality type and adopting closed loop feedback adjustment operation if the parameter abnormality exists, and executing the current characteristic curves if the parameter abnormality exists, and a multi-parameter intelligent feedback-based tire sizing material banburying system. According to the invention, the shearing force field and the temperature field in the sizing material are optimized through dynamic variable pressure mixing, the mixing uniformity is improved, the process parameters are automatically optimized through intelligent feedback closed-loop adjustment, the energy consumption is reduced, the consistency of the product quality is obviously enhanced, and the production intelligent level is improved.

Inventors

TAN JIANLIANG
WEI JINBIN
MA YONGQIANG
LI GUORUI
XU JIANXIN
XU CHONGJIE

Assignees

浦林成山（山东）轮胎有限公司

Dates

Publication Date: 20260512
Application Date: 20260129

Claims (10)

1. A tire sizing material banburying method based on multi-parameter intelligent feedback is characterized by comprising the following steps: Based on the historical effective mixing data, different historical characteristic curves and corresponding historical characteristic ranges thereof are obtained; collecting and acquiring current mixing data in a mixing cavity in real time in the mixing process, comparing the current mixing data with the corresponding historical data characteristic range, and judging whether a parameter abnormal condition exists or not; If the current characteristic curve exists, judging the abnormal type and adopting closed loop feedback adjustment operation, and if the current characteristic curve does not exist, executing the current characteristic curve.
2. The method for banburying a tire compound based on multi-parameter intelligent feedback according to claim 1, wherein said different historical characteristic curves and their corresponding historical characteristic ranges comprise: Historical characteristic curves of driving power, intracavity pressure and sizing material temperature of different sizing materials in different collecting and mixing stages and corresponding historical characteristic ranges thereof.
3. The method for banburying a tire compound based on intelligent multi-parameter feedback according to claim 1, wherein the step of collecting and acquiring current mixing data in a mixing cavity in a mixing process in real time comprises the steps of: and acquiring and obtaining current mixing data in real time through a sensing monitoring module, wherein the current mixing data comprises driving power, sizing material temperature and intracavity pressure in the current mixing stage.
4. A method of mixing a tire compound based on intelligent multi-parameter feedback according to any one of claims 1-3, wherein comparing the driving power with its corresponding historical characteristic range, determining whether a parameter anomaly exists, specifically comprising: If the driving power is detected to be lower than the lower limit of the corresponding historical characteristic range and the rising trend of the temperature of the sizing material is slowed down, judging that the false clamping exists; If the driving power is detected to be higher than the upper limit of the corresponding historical characteristic range, the temperature rising rate of the sizing material is accelerated, the shearing load is judged to be overlarge, the local overheating or scorching risk exists, the intelligent control module immediately reduces the upper bolt pressure or slightly lifts the upper bolt pressure according to the local overheating or scorching risk, the pressure change is smoothly regulated according to the temperature rising rate, and the dynamic pressure changing curve is returned to the target pressure track after the driving power and the sizing material temperature are restored to the characteristic range.
5. The method for banburying a tire compound based on multi-parameter intelligent feedback according to claim 4, wherein the intelligent control module immediately reduces the pressure of the upper plug or slightly lifts the position of the upper plug and smoothly adjusts the pressure change according to the temperature rise rate, and the method comprises the following steps: S100, reducing an upper ram pressure set value P_set to enable the cavity internal volume of the mixing cavity to be instantaneously increased, and reducing effective shearing stress and unit volume heat strength; And, synchronous micro-lifting the upper bolt position delta h, improving the sizing material turning and flowing channel, eliminating the local high-resistance area; S200, slope limitation control is carried out on the pressure according to temperature feedback, so that dP/dT is less than or equal to g (dT/dT, T_lim-T) in the pressure callback process is met, and mixing instability caused by sudden pressure drop is prevented; S300, after the driving power and the sizing material temperature are restored to the corresponding historical characteristic ranges, the system smoothly returns to the target pressure track according to the dynamic pressure change curve.
6. The multi-parameter intelligent feedback-based tire compound banburying method as claimed in claim 5, wherein the intelligent control module can adjust the dynamic transformation curve in real time according to the driving power and the compound temperature fed back in real time; The dynamic transformation curve function formula comprises P_set (T) =P_base (T) +phi (W (T), T (T), dT/dT, wherein phi (W (T), T (T), dT/dT is a multivariable nonlinear mapping function and can be obtained through any mode of a fuzzy controller, a neural network, a regression model and an adaptive PID.
7. The method for banburying a tire compound based on multi-parameter intelligent feedback according to claim 6, wherein comparing the compound temperature with the corresponding historical characteristic range, judging whether the parameter abnormality exists or not, specifically comprising: when the temperature of the sizing material is lower than the lower limit of the corresponding historical characteristic range, moderately increasing the pressure value in the cavity; When the temperature of the sizing material rises too fast and has a trend of exceeding the upper limit of the corresponding historical characteristic range, the intra-cavity pressure value is moderately reduced.
8. A tyre rubber banburying system based on multi-parameter intelligent feedback, characterized in that a tyre rubber banburying method as claimed in any one of claims 1-7 is applied, comprising: the internal mixer body is used for efficiently and uniformly plasticizing, mixing and dispersing the rubber; the servo hydraulic module comprises a servo motor and a quantitative pump, wherein the servo motor drives the quantitative pump to operate, and a power system formed by the servo motor and the quantitative pump drives the internal mixer body to operate; the sensing monitoring module comprises a plurality of different monitoring units and is used for monitoring driving power, sizing material temperature and cavity pressure in real time; The intelligent control module receives various data acquired by the sensing monitoring module in real time and dynamically controls the servo hydraulic module according to the data, so as to realize the cooperative adjustment of the upper ram pressure and the position in the internal mixer body and execute dynamic pressure-variable mixing.
9. The multi-parameter intelligent feedback-based tire compound banburying system according to claim 8, wherein said sensing and monitoring module comprises: The pressure sensing monitoring unit is used for monitoring dynamic working pressure in the mixing cavity in real time; the power monitoring unit is used for monitoring the power of the servo motor in real time; the temperature sensing monitoring units are distributed in the mixing cavity and used for monitoring the change of a temperature field in the mixing cavity in real time.
10. The multi-parameter intelligent feedback-based tire stock banburying system as claimed in claim 9, wherein said temperature sensing monitoring unit comprises a plurality of temperature sensing monitoring units uniformly arranged on the side wall and the bottom of the mixing chamber; But also at one or any few of the tops of the discharge openings.

Description

Tire sizing material banburying method and system based on multi-parameter intelligent feedback Technical Field The invention relates to the technical field of tire manufacturing, in particular to a multi-parameter intelligent feedback-based tire sizing material banburying method and system. Background The banburying process is a key link in the production of tires, and has the core function of uniformly mixing rubber with various compounding agents. At present, a constant-pressure mixing mode is adopted in tyre banburying, but the constant-pressure mixing is difficult to accurately regulate and control a shearing force field and a temperature field in a mixing cavity, so that local overheating (scorching) or uneven mixing of sizing materials are easy to cause large fluctuation among product quality batches. In addition, the traditional system often causes process anomalies such as false clamping, slipping and the like due to rough control, and the traditional system is dependent on manual experience intervention, so that the improvement of the production automation and intelligent level is restricted. In view of this, the present invention has been made. Disclosure of Invention The invention aims to solve the defects of the technology, provides a multi-parameter intelligent feedback-based tyre sizing material banburying method, which optimizes a shearing force field and a temperature field in sizing material by dynamic variable pressure mixing, improves mixing uniformity, enables a system to automatically detect mixing data driving power, sizing material temperature and intracavity pressure by intelligent feedback closed-loop adjustment, automatically optimizes technological parameters, reduces energy consumption, obviously enhances product quality consistency and improves production intelligent level. The technical scheme provided by the invention is as follows: in one aspect, the invention discloses a multi-parameter intelligent feedback-based tire compound banburying method, which comprises the following steps: Based on the historical effective mixing data, different historical characteristic curves and corresponding historical characteristic ranges thereof are obtained; collecting and acquiring current mixing data in a mixing cavity in real time in the mixing process, comparing the current mixing data with the corresponding historical data characteristic range, and judging whether a parameter abnormal condition exists or not; If the current characteristic curve exists, judging the abnormal type and adopting closed loop feedback adjustment operation, and if the current characteristic curve does not exist, executing the current characteristic curve. Further, the different history feature curves and the corresponding history feature ranges thereof include: Historical characteristic curves of driving power, intracavity pressure and sizing material temperature of different sizing materials in different collecting and mixing stages and corresponding historical characteristic ranges thereof. Further, collecting and acquiring current mixing data in a mixing cavity in real time in the mixing process comprises the following steps: and acquiring and obtaining current mixing data in real time through a sensing monitoring module, wherein the current mixing data comprises driving power, sizing material temperature and intracavity pressure in the current mixing stage. Further, comparing the driving power with the corresponding historical characteristic range, and judging whether the parameter abnormality exists or not, wherein the method specifically comprises the following steps: If the driving power is detected to be lower than the lower limit of the corresponding historical characteristic range and the rising trend of the temperature of the sizing material is slowed down, judging that the false clamping exists; If the driving power is detected to be higher than the upper limit of the corresponding historical characteristic range, the temperature rising rate of the sizing material is accelerated, the shearing load is judged to be overlarge, the local overheating or scorching risk exists, the intelligent control module immediately reduces the upper bolt pressure or slightly lifts the upper bolt pressure according to the local overheating or scorching risk, the pressure change is smoothly regulated according to the temperature rising rate, and the dynamic pressure changing curve is returned to the target pressure track after the driving power and the sizing material temperature are restored to the characteristic range. Further, the intelligent control module immediately reduces the pressure of the upper bolt or slightly lifts the position of the upper bolt, and smoothly adjusts the pressure change according to the temperature rise rate, and the intelligent control module comprises the following steps: S100, reducing an upper ram pressure set value P_set to enable the cavity internal volume of the mixing cavity to be