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Article

Effect of Monomer Mixture Composition on TiCl4-Al(i-C4H9)3 Catalytic System Activity in Butadiene–Isoprene Copolymerization: A Theoretical Study

by
Konstantin A. Tereshchenko
1,*,
Rustem T. Ismagilov
1,
Nikolai V. Ulitin
1,
Yana L. Lyulinskaya
1 and
Alexander S. Novikov
2,3,*
1
Department of General Chemical Technology, Kazan National Research Technological University, Kazan 420015, Russia
2
Department of Physical Organic Chemistry, Institute of Chemistry, Saint Petersburg State University, Saint Petersburg 199034, Russia
3
Scientific Center of Crystal Chemistry and Structural Analysis, Research Institute of Chemistry, Рeoples’ Friendship University of Russia (RUDN University), Moscow 117198, Russia
*
Authors to whom correspondence should be addressed.
Computation 2025, 13(8), 184; https://doi.org/10.3390/computation13080184 (registering DOI)
Submission received: 24 June 2025 / Revised: 22 July 2025 / Accepted: 25 July 2025 / Published: 1 August 2025
(This article belongs to the Special Issue Feature Papers in Computational Chemistry)

Abstract

Divinylisoprene rubber, a copolymer of butadiene and isoprene, is used as raw material for rubber technical products, combining isoprene rubber’s elasticity and butadiene rubber’s wear resistance. These properties depend quantitatively on the copolymer composition, which depends on the kinetics of its synthesis. This work aims to theoretically describe how the monomer mixture composition in the butadiene–isoprene copolymerization affects the activity of the TiCl4–Al(i-C4H9)3 catalytic system (expressed by active sites concentration) via kinetic modeling. This enables development of a reliable kinetic model for divinylisoprene rubber synthesis, predicting reaction rate, molecular weight, and composition, applicable to reactor design and process intensification. Active sites concentrations were calculated from experimental copolymerization rates and known chain propagation constants for various monomer compositions. Kinetic equations for active sites formation were based on mass-action law and Langmuir monomolecular adsorption theory. An analytical equation relating active sites concentration to monomer composition was derived, analyzed, and optimized with experimental data. The results show that monomer composition’s influence on active sites concentration is well described by a two-step kinetic model (physical adsorption followed by Ti–C bond formation), accounting for competitive adsorption: isoprene adsorbs more readily, while butadiene forms more stable active sites.
Keywords: adsorption; butadiene; copolymerization; heterogeneous catalysis; isoprene; mathematical analysis; Ziegler–Natta catalyst adsorption; butadiene; copolymerization; heterogeneous catalysis; isoprene; mathematical analysis; Ziegler–Natta catalyst

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MDPI and ACS Style

Tereshchenko, K.A.; Ismagilov, R.T.; Ulitin, N.V.; Lyulinskaya, Y.L.; Novikov, A.S. Effect of Monomer Mixture Composition on TiCl4-Al(i-C4H9)3 Catalytic System Activity in Butadiene–Isoprene Copolymerization: A Theoretical Study. Computation 2025, 13, 184. https://doi.org/10.3390/computation13080184

AMA Style

Tereshchenko KA, Ismagilov RT, Ulitin NV, Lyulinskaya YL, Novikov AS. Effect of Monomer Mixture Composition on TiCl4-Al(i-C4H9)3 Catalytic System Activity in Butadiene–Isoprene Copolymerization: A Theoretical Study. Computation. 2025; 13(8):184. https://doi.org/10.3390/computation13080184

Chicago/Turabian Style

Tereshchenko, Konstantin A., Rustem T. Ismagilov, Nikolai V. Ulitin, Yana L. Lyulinskaya, and Alexander S. Novikov. 2025. "Effect of Monomer Mixture Composition on TiCl4-Al(i-C4H9)3 Catalytic System Activity in Butadiene–Isoprene Copolymerization: A Theoretical Study" Computation 13, no. 8: 184. https://doi.org/10.3390/computation13080184

APA Style

Tereshchenko, K. A., Ismagilov, R. T., Ulitin, N. V., Lyulinskaya, Y. L., & Novikov, A. S. (2025). Effect of Monomer Mixture Composition on TiCl4-Al(i-C4H9)3 Catalytic System Activity in Butadiene–Isoprene Copolymerization: A Theoretical Study. Computation, 13(8), 184. https://doi.org/10.3390/computation13080184

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