Method for forecasting Mooney viscosity in rubber mixing process

Abstract

The invention discloses a method for forecasting a Mooney viscosity in a rubber mixing process, which comprises the following steps of: establishing an initial off-line model by using a process parameter and a Mooney viscosity accumulated in the process production as a data sample, then applying the off-line model to a practical process line, and acquiring new sample data; if the forecasting error of the model on the new sample exceeds a forecasting error threshold value, judging the sample as a valid sample, and adding the valid sample into the model; performing on-line dynamic update on model parameters; and when the number of the samples in the model exceeds the preset maximum sample number, removing the redundant samples in the model so that the number of the samples of the model is controlled within the maximum sample number. The method continually improves the precision of the model based on the cutting technology, and can effectively control the complexity of the model at the same time; the model has good convergence effect; and the method reduces the calculation quantity of the conventional model, and can provide accurate on-line real-time forecast for the Mooney viscosity in the rubber mixing process.

Description

technical field [0001] The invention relates to the technical field of soft measurement in process production, in particular to a method for forecasting Mooney viscosity during rubber mixing. Background technique [0002] Internal mixer rubber mixing is the first step in the rubber manufacturing process. It refers to the production process of mixing various ingredients into raw rubber in an internal mixer to make a uniform quality of mixed rubber. The rubber mixing process is one of the most basic and important processes in the rubber processing technology, which determines the efficacy of the subsequent rubber manufacturing process and has a considerable impact on the performance of the product. The quality requirements of the rubber compound in the actual industrial production process mainly include: 1. The quality of the rubber material must ensure that the rubber product has good physical and mechanical properties; 2. The rubber material itself must have good processabil...

AI Technical Summary

Problems solved by technology

However, after searching relevant literature such as published patents, it is found that the current inventions are more in the form of offline modeling and only for single output, which cannot timely integrate the nonlinear and time-varying information that constantly appears in the actual production process, and cannot meet the requirements of The demand for real-time online control in industrial sites

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