Methods of statistical analysis stationary kinetic model ideal mixing cell
https://doi.org/10.20914/2310-1202-2018-4-133-137
Abstract
The article describes the statistical analysis method of the stationary kinetic model of perfect mixing cell which can be applied to devices using spatial combination of perfect mixing cells. A simulation model of interaction of two substances in a continuous-flow reactor of perfect mixing and graphs of chemical interaction of the substances is elaborated. A parametric simulation model identification method of least squares is conducted. The adequacy of the model obtained using the F-test and the hypothesis of heterogeneity of variances of random processes and functions is evaluated. The possible intervals of the linear zed equation coefficients using t-test are significance estimated coefficients are determined for the chosen form of the equation. The obtained values of the possible intervals are caused by in the stochastic factors simulation model by and mutual influence of deviations of different parameters. The calculation results are shown in Example 1 and Example 2. The relative error for output concentration was more than 10%. Therefore averaging over five repeated observations at each point in order to reduce the dispersion was performed. The averaged values of the parameters are suitable for the simulation and analysis processes. The results of research can be used for the development of mathematical modeling methods and analysis in fixed-chemical processes occurring in solutions.
About the Authors
V. M. Zarochentsev
North Caucasian mining and metallurgical institute (State Technical University)
Cand. Sci. (Engin.), associate professor, ,, Vladikavkaz, 362021, Russia
Cand. Sci. (Engin.), associate professor, ,, Vladikavkaz, 362021, Russia
T. V. Kondratenko
North Caucasian mining and metallurgical institute (State Technical University)
Cand. Sci. (Engin.), associate professor, ,, Vladikavkaz, 362021, Russia
Cand. Sci. (Engin.), associate professor, ,, Vladikavkaz, 362021, Russia
A. K. Makoeva
North Caucasian mining and metallurgical institute (State Technical University)
graduate student, ,, Vladikavkaz, 362021, Russia
graduate student, ,, Vladikavkaz, 362021, Russia
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Review
For citations:
Zarochentsev V.M., Kondratenko T.V., Makoeva A.K. Methods of statistical analysis stationary kinetic model ideal mixing cell. Proceedings of the Voronezh State University of Engineering Technologies. 2018;80(4):133-137. (In Russ.) https://doi.org/10.20914/2310-1202-2018-4-133-137
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