Method for developing agitation system of a scale-up polymerization vessel
AssigneeFormosa Plastics Corporation
InventorsFuh-Yih Shih, Shih-Ming Yeh, Yu-Cheng Chen, Jun-Teng Chen
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Abstract
The application relates to a method for developing the agitation system of a scale-up polymerization vessel. A simulated prediction model is obtained by use of a small polymerization vessel and by integrating Taguchi experimental design method with artificial intelligence (AI) neural network. Accordingly, vessel parameters for the agitation system of a scale-up polymerization vessel can be rapidly and accurately predicted based on simulation qualities thereof, further facilitating a construction of the agitation system of a scale-up polymerization vessel.
Claims18
A method for developing an agitation system of a scale-up polymerization vessel, and the agitation system is configured to be applied in the scale-up polymerization vessel, wherein the method comprises:
- performing a reaction with a polymerization vessel to obtain a plurality of experimental results, wherein each of the experimental results includes a plurality of structural parameter groups and a plurality of product qualities corresponding to the structural parameter groups, and each of the structural parameter groups includes a plurality of agitation parameters;
- performing a prediction process with Taguchi experimental design method and the experimental results to obtain a plurality of prediction results, wherein the prediction results include a plurality of prediction parameter groups and a plurality of prediction qualities corresponding to the prediction parameter groups, and each of the prediction parameter groups includes a plurality of predictive agitation parameters;
- performing a simulation process with the experimental results and the prediction results to obtain a simulated prediction model, wherein the simulation process is performed by an artificial intelligence neural network, and the simulation process comprises:
- adjusting an initial random seed of the artificial intelligence neural network to obtain the simulated prediction model comprising a plurality of simulation models;
- obtaining an optimized simulation parameter group of the polymerization vessel by the simulated prediction model, wherein the optimized simulation parameter group includes a plurality of simulated agitation parameters and a simulation quality corresponding to the simulated agitation parameters;
- and
- constructing the scale-up polymerization vessel based on the simulated agitation parameters.
A method for developing an agitation system of a scale-up polymerization vessel, and the agitation system is configured to be applied in the scale-up polymerization vessel configured to produce polyvinyl chloride, wherein the method comprises:
- performing a reaction with a polymerization vessel to obtain a plurality of experimental results, wherein each of the experimental results includes a plurality of structural parameter groups and a plurality of product qualities corresponding to the structural parameter groups, and each of the structural parameter groups includes a plurality of agitation parameters;
- performing a prediction process with Taguchi experimental design method and the experimental results to obtain a plurality of prediction results, wherein the prediction results include a plurality of prediction parameter groups and a plurality of prediction qualities corresponding to the prediction parameter groups, and each of the prediction parameter groups includes a plurality of predictive agitation parameters;
- performing a simulation process with the experimental results and the prediction results to obtain a simulated prediction model, wherein the simulation process is performed by an artificial intelligence neural network;
- performing an augmentation step after the simulation process, wherein the augmentation step is to divide a numerical range consisting of the agitation parameters and the predictive agitation parameters into a plurality of levels to obtain a plurality of augmentation parameters, thereby obtaining a plurality of augmentation parameter groups, wherein each of the augmentation parameter groups includes the augmentation parameters and a corresponding augmentation quality;
- estimating a stirring power according to each of the augmentation parameter groups;
- and
- modifying the simulated prediction model with the experimental results, the prediction results, the augmentation parameter groups and the stirring power corresponding to each of the augmentation parameter groups, thereby obtaining an optimized simulation parameter group for constructing the scale-up polymerization vessel.
Dependencies are inferred from the claim text.