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A method for identification of recycled polyester by chemical recycling method

A technology of chemical recycling and regeneration of polyester, applied in scientific instruments, biological neural network models, measuring devices, etc., can solve the problem that organic impurities cannot be completely removed, and achieve the effect of easy implementation and strong nonlinear mapping

Active Publication Date: 2017-05-24
SHANGHAI TEXTILE GRP DETECTION STANDARD CO LTD +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many kinds of organic impurities in terephthalic acid. Although the content is very small, they have a great influence on the polymerization process, intrinsic viscosity, molecular weight distribution, rheological properties, appearance color and mechanical strength of polyester.
The refining method of terephthalic acid is mainly hydrogenation refining, in addition to DMT refining method, solvent crystallization method, etc., but these methods cannot completely remove all organic impurities

Method used

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  • A method for identification of recycled polyester by chemical recycling method
  • A method for identification of recycled polyester by chemical recycling method
  • A method for identification of recycled polyester by chemical recycling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] 10 virgin polyester fiber samples, provided by domestic virgin polyester fiber manufacturers, sample numbers are 1#~10#; 10 recycled polyester fiber samples, provided by domestic and foreign chemical recycled polyester fiber manufacturers, sample numbers are 11#~ 20#.

[0048] Step 1. Extract the alcoholysis of trace organic impurities embedded in the polyester macromolecular structure

[0049] The alcoholysis of organic impurities embedded in the polyester macromolecular structure is extracted by methanolysis method. The specific steps are as follows: prepare a methanol solution with a zinc acetate concentration of 0.02mg / mL as the transesterification solution, and mix 1g of polyester fiber with 30mL of the transesterification solution Put it in a reaction tube, seal it and put it in a heating device, react at 215°C for 3 hours, take out the reaction tube, cool to room temperature and filter, remove the precipitated filtrate containing the extracted polyester macromole...

Embodiment 2

[0145] For the sample in Example 1, the step of extracting the organic impurity alcoholyzate embedded in the polyester macromolecular structure is: preparing a methanol solution with a concentration of zinc acetate of 0.04 mg / mL as a transesterification solution, mixing 1.5 g of polyester fiber and Put 50mL of the transesterification solution in a reaction tube, seal it and put it into a heating device, react at 225°C for 3.5 hours, take out the reaction tube, cool to room temperature and filter, remove the precipitated filtrate containing the extracted intercalated polyester The alcoholysis of organic impurities in the macromolecular structure. The preprocessing method for the variable matrix data is: according to this, the variable matrix is ​​treated with area normalization and the first-order numerical differential matrix. Perform principal component analysis on the first-order differential matrix, and combine the first and second principal component scores of the first-or...

Embodiment 3

[0153] For the sample in Example 1, the step of extracting the alcoholyzate of organic impurities embedded in the polyester macromolecular structure is: preparing a methanol solution with a concentration of zinc acetate of 0.02 mg / mL as a transesterification solution, mixing 1 g of polyester fiber and 30 mL Put the transesterification solution in a reaction tube, seal it and put it into a heating device, take out the reaction tube after reacting at 215°C for 2.5 hours, cool to room temperature and filter, remove the precipitated filtrate containing the extracted Alcoholysis of organic impurities in the molecular structure. The method of preprocessing the variable matrix data is as follows: the variable matrix is ​​preprocessed by area normalization. Principal component analysis is performed on the preprocessed matrix data, and the first, second and third principal component scores of the preprocessed matrix data are combined into a new feature matrix, and the three column vect...

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Abstract

The content distribution difference of organic impurities entering a polyester macromolecular structure is an identification basis of protogenetic polyester and regenerated polyester generated through a chemical recycling method. A method for identifying the regenerated polyester generated through the chemical recycling method comprises the steps of depolymerizing the regenerated polyester generated through the chemical recycling method and the protogenetic polyester by adopting a methanolysis method, and extracting alcoholysate of trace organic impurities embedded into the polyester macromolecular structure; obtaining detection signal data by adopting HPLC (High Performance Liquid Chromatography), and selecting detection signal data of a para orientation object of methyl benzoate; merging the detection signal data into a variable matrix, carrying out data preprocessing, then carrying out dimension reduction processing by adopting a PCA (Principle Component Analysis), extracting 2 to 6 principle components as characteristic variables, building a BP (Back-Propagation) artificial neural network to carry out a training and simulation verification by taking the obtained characteristic variables as input variables and protogenetic attributes and regenerated attributes of fiber as target variables, and identifying a to-be-identified sample to be the regenerated polyester generated through the chemical recycling method when a predicted value of the to-be-identified sample is matched with an attribute predicted value of the regenerated polyester generated through the chemical recycling method. The method disclosed by the invention has the advantages that the accurate rate is high, and convenience and quickness are realized.

Description

technical field [0001] The invention relates to a method for identifying regenerated textile materials, in particular to a method for identifying regenerated polyester by a chemical recovery method using a chemometric method. Background technique [0002] Polyester, scientific name polyethylene terephthalate fiber, is a category of polyester fiber, the English abbreviation is PET fiber. It is widely used in the textile field and is currently the largest fiber variety in the world. Virgin polyester refers to the polyethylene terephthalate produced by direct spinning or slice spinning, which uses purified terephthalic acid and ethylene glycol as monomers, after direct esterification, continuous polycondensation or intermittent polycondensation to form polyester. Ester fiber. Recycled polyester can be divided into two categories according to the processing method: physical recycling method and chemical recycling method. Regenerated polyester by physical recycling method refe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N30/86G06N3/02
Inventor 申世红徐逸群刘慧杰端小平吴雅萍陆秀琴周祯德付昌飞李红杰夏坚琴
Owner SHANGHAI TEXTILE GRP DETECTION STANDARD CO LTD
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