Method for predicting coagulation bath link performance index in carbon fiber precursor production process

Abstract

The invention relates to a method for predicting a coagulation bath link performance index in a carbon fiber precursor production process and especially relates to a method for predicting a coagulation bath link performance index in a carbon fiber precursor production process of a least square support vector machine (LS-SVM) optimized by particle swarm optimization (PSO) improved based on a power-law rule. The method comprises the following steps: a fiber initial radius, a coagulation bath effective length, an initial speed and a pulling speed of a coagulation bath link in the carbon fiber precursor production process are selected as feature information, and an input sample data set is established after linear function normalization is performed; major performance indexes influencing carbon fiber quality, i.e., a fiber final radius and a coagulation layer thickness are determined, and an output sample data set is established after logarithm function normalization is performed; and according to the input-output sample data sets, establishing an LS-SVM model, by taking a Gaussian radial basis function (RBF) as a nucleus function of the LS-SVM, an optimal punishment factor C and a nucleus function parameter sigma are selected by use of the PSO; and the searching optimization process of the PSO is improved according to the power-law rule such that the searching optimization speed can be greatly improved and accurate prediction is realized.

Description

technical field [0001] The invention belongs to the technical field of carbon fiber intelligent production prediction, and relates to a method for predicting the performance index of the coagulation bath link in the production process of carbon fiber precursors, in particular to the carbon fiber precursor production process based on the power law improved PSO optimized LS-SVM Coagulation bath segment prediction method. Background technique [0002] Carbon fiber is a new type of fiber material with high strength and high modulus fiber containing more than 95% carbon. Because of its low density, high specific performance, no creep, high temperature resistance in non-oxidizing environment, good fatigue resistance, small thermal expansion coefficient, good corrosion resistance, good electrical and thermal conductivity, and good electromagnetic shielding, it is widely used in national defense and military industries and civilian use. [0003] The production process of carbon fi...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that in the current carbon fiber precursor production process, the corresponding relationship between the main process parameters of the coagulation bath link and the product performance indicators often relies on production experience and lacks relevant theoretical guidance. On-line debugging requires the production line to stop production and carry out Multiple production simulations will bring large economic losses, etc., and a prediction method for the performance index of the coagulation bath link in the production process of carbon fiber precursors is proposed, specifically based on the PSO optimized LS-SVM improved by the power law Prediction method of coagulation bath link in carbon fiber precursor production process

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