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Polypropylene melt index forecast based on non-linear least square improved method

A least squares, melt index technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of complex calculation, low modeling accuracy, poor modeling reliability, etc.

Inactive Publication Date: 2011-02-02
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of poor modeling reliability, complex calculation and low modeling precision of existing polypropylene melt index prediction methods, the present invention provides a non-linear minimum Polypropylene Melt Index Prediction Method Based on the Improved Square Method

Method used

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  • Polypropylene melt index forecast based on non-linear least square improved method
  • Polypropylene melt index forecast based on non-linear least square improved method
  • Polypropylene melt index forecast based on non-linear least square improved method

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Embodiment Construction

[0063] Take the industrial process for the production of polypropylene by the Spheripol process as an example. figure 1 A typical process flow diagram for the production of polypropylene by Spheripol method is given. It can be seen from the figure that the physical quantities affecting the reaction are catalyst, propylene, ethylene, hydrogen and temperature (the temperature is not marked in the figure).

[0064] Step 1: Determine the data set.

[0065] With reference to the content described in Technical Scheme 1, the production process has been simplified. At this time, the parameters that affect the melt index of polypropylene are only temperature T and hydrogen concentration [H 2 ]. With a certain understanding of the reaction process, it is known that the main reactions occur in reactors R201 and R202, and their respective contribution ratios are 55% and 45%. In this way, if the requirements for the reaction process are not strict, the involved temperature and hydrogen c...

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Abstract

A polypropylene fusibility index predication method based on nonlinear least square modified method comprises: expanding the nonlinear items of a mechanism model and replacing variables to obtain a linear model; identifying the model via a linear neural network; using the identification result of the linear neural network as the initial parameters of nonlinear least square; processing nonlinear least square identification on the mechanism model to obtain final identification result, and using the model as a real-time predication model of fusibility index. The invention can reliably building model, has simple operation and high modeling accuracy. The model can be used to fit and calibrate production data to obtain good simulation effect, and can be used in industry to indicate polypropylene production, improve the prediction accuracy of fusibility index and improve product quality.

Description

technical field [0001] The invention relates to a method for predicting the melt index of polypropylene. Background technique [0002] Polypropylene is a synthetic resin mainly polymerized from propylene monomer. It is an important product in the plastics industry. However, as a multi-input and multi-output strongly nonlinear production process with a large number of parameters coupled with each other, the traditional mechanism modeling ( including reactor dynamics modeling and melt index modeling) are very limited. As an important reference index for polypropylene product quality control and processing technology, reliable modeling of melt index will guide smooth operation and improve product quality. [0003] After searching the existing literature on melt index modeling technology, it is found that the current melt index modeling mainly includes mechanism modeling and data modeling. Mechanism modeling (such as Jiang Jingbo, 2002) can make full use of the known process k...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 俞立王静芳
Owner ZHEJIANG UNIV OF TECH