Kinetic model of isolated reactions of the catalytic hydroalumination of olefins

Safiullina, L. F.; Gubaydullin, I. M.; Коледина, К. Ф.

doi:10.1007/s11144-015-0876-6

Cited by 23 publications

(5 citation statements)

References 13 publications

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“…The corrosion rate can be affected by controlling the process kinetics in the case of electrochemical corrosion. Determination of the optimal conditions from the kinetic model of the process [17][18][19] can provide control over the phenomenon. Yan Yun Hui presented another method for identification of metal corrosion damage based on the minimum distance between the recognition objects [20].…”

Section: Computer Vision Methods and Goalsmentioning

confidence: 99%

Analysis of Corrosion Process Development on Metals by Means of Computer Vision

Enikeev¹,

Gubaydullin²,

Малеева³

2017

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Abstract. The paper deals with computer vision and image processing methods applied to the task of corrosion damage search. A step-by-step algorithm is given for processing of the data from a chemical corrosion experiment on a metal surface: image preprocessing, image binarization and identification of object contours, and analysis of object characteristics. The application of the developed methods is exemplified by detection and recognition of corrosion damage on a steel specimen, pitting corrosion, and corrosion of an aluminum specimen. Furthermore, the mechanism of fractal analysis for corrosion cracking specimens was studied and fractal dimension was selected as characteristics of corrosion damage.

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Section: Computer Vision Methods and Goalsmentioning

confidence: 99%

Analysis of Corrosion Process Development on Metals by Means of Computer Vision

Enikeev¹,

Gubaydullin²,

Малеева³

2017

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“…In [31][32][33], the authors elaborated a detailed kinetic model of olefin hydroalumination Cp 2 ZrCl 2 -catalyzed reaction with organoaluminum compounds ClAlBu i 2 (DIBAC), HAlBu i 2 (DIBAH), and AlBu i 3 (TIBA). For the general olefin hydroalumination reaction, the following olefins were experimentally tested: heptene, octene, nonene, and decene.…”

Section: Kinetic Model Of a Metal Complex Catalytic Reactionmentioning

confidence: 99%

Multiobjective Optimization of a Metal Complex Catalytic Reaction Based on a Detailed Kinetic Model with Parallelization of Calculations

2023

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The solution of the multiobjective optimization problem was performed with the help of the Pareto approximation algorithm. The problem of multiobjective optimization of the reaction process conditions for the olefin hydroalumination catalytic reaction, with the presence of organoaluminum compounds diisobutylaluminiumchloride, diisobutylaluminiumhydrate, and triisobutylaluminum, was solved. The optimality criteria are the yield of the reaction resultants. The largest yield of the high-order organoaluminum compound Bu2AlR was observed for the reactions with diisobutylaluminiumhydrate and triisobutylaluminum. Such results were obtained due to the fact that in the case of diisobutylaluminiumchloride, Bu2AlR was used for the formation of ClBuAlR. The yield of the Schwartz reagent Cp2ZrHCl was higher by a third in the reaction in the presence of diisobutylaluminiumchloride. Unlike the experimental isothermal conditions, the temperature optimal control showed the sufficiency of the gradual growth temperature for achieving the same or higher values of optimality criteria. For computational experiments, the algorithm for solving the multi-criteria optimization problem was parallelized using an island model.

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“…The main results of the modeling matched Scheme 15 ; in particular, by the optimization of the molecular structure of Zr06 that was found to be relatively stable ( Figure 13 ). In accordance with Scheme 15 , the kinetic model for the reaction steps was developed [ 136 , 137 ].…”

Section: Complexes Of Zrmentioning

confidence: 99%

Transition Metal–(μ-Cl)–Aluminum Bonding in α-Olefin and Diene Chemistry

2022

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Olefin and diene transformations, catalyzed by organoaluminum-activated metal complexes, are widely used in synthetic organic chemistry and form the basis of major petrochemical processes. However, the role of M–(μ-Cl)–Al bonding, being proven for certain >C=C< functionalization reactions, remains unclear and debated for essentially more important industrial processes such as oligomerization and polymerization of α-olefins and conjugated dienes. Numerous publications indirectly point at the significance of M–(μ-Cl)–Al bonding in Ziegler–Natta and related transformations, but only a few studies contain experimental or at least theoretical evidence of the involvement of M–(μ-Cl)–Al species into catalytic cycles. In the present review, we have compiled data on the formation of M–(μ-Cl)–Al complexes (M = Ti, Zr, V, Cr, Ni), their molecular structure, and reactivity towards olefins and dienes. The possible role of similar complexes in the functionalization, oligomerization and polymerization of α-olefins and dienes is discussed in the present review through the prism of the further development of Ziegler–Natta processes and beyond.

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Kinetic model of isolated reactions of the catalytic hydroalumination of olefins

Cited by 23 publications

References 13 publications

Analysis of Corrosion Process Development on Metals by Means of Computer Vision

Analysis of Corrosion Process Development on Metals by Means of Computer Vision

Multiobjective Optimization of a Metal Complex Catalytic Reaction Based on a Detailed Kinetic Model with Parallelization of Calculations

Transition Metal–(μ-Cl)–Aluminum Bonding in α-Olefin and Diene Chemistry

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