Multifunctional polymerization catalyst based on aluminum alkyl and preparation method thereof

By optimizing the composition and reaction parameters of alkyl aluminum catalysts and combining them with multivariate model optimization, the shortcomings of existing catalysts in activity, selectivity and stability were solved, efficient polar monomer copolymerization and antioxidant properties were achieved, and production costs were reduced.

CN120665219AActive Publication Date: 2025-09-19LIAONING LIGHT IND DESIGN INST CO LTD
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Patent Information

Application Number
CN202511157069.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-19
Publication Date
2025-09-19
Estimated Expiration
2045-08-19

AI Technical Summary

Technical Problem

Existing polyolefin catalysts have deficiencies in activity, selectivity and stability, making it difficult to meet the production needs of modern high-end polyolefin materials, especially in the copolymerization of polar monomers and in resistance to moisture and oxygen environments.

Method used

Using a multifunctional polymerization catalyst based on alkyl aluminum, the catalyst composition and reaction parameters are optimized through orthogonal experiments, uniform design and response surface design combined with multivariate quadratic surface fitting model and random forest model, and special ligands and additives are introduced to improve the activity, selectivity and stability of the catalyst.

Benefits of technology

Significantly improve catalytic activity, enhance tolerance to polar monomers, improve catalyst stability in air and humid environments, and reduce R&D and production costs.

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Abstract

The invention provides a multifunctional polymerization catalyst based on aluminum alkyl and a preparation method thereof, and belongs to the technical field of catalyst preparation, and the method comprises the following steps: S1, determining an initial reaction parameter range; s2, designing an experiment combination, and recording performance indexes of each group of experiments; s3, constructing a multivariate quadric surface fitting model; s4, fitting a model prediction result according to the curved surface; s5, constructing a random forest model; s6, predicting by using a random forest model, and determining an optimal parameter combination; and S7, preparing the multifunctional polymerization catalyst based on aluminum alkyl according to the determined optimal parameter combination. By reasonably designing the composition and proportion of the main catalyst, the aluminum alkyl cocatalyst and the additive and optimizing preparation parameters in combination with a curved surface fitting model and a random forest model, compared with a traditional catalyst, the catalyst prepared by the technical scheme has the advantage that the catalytic activity is remarkably improved.
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Citation Information

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