Modeling of the Distribution of Electric Discharge BetweenMetal Balls in the Aqueous Solution

Dettagli Bibliografici
Parent link:Chemical Engineering Transactions
Vol. 61.— 2017.— [P. 535-540]
Autore principale: Nadezhdin I. S. Igor Sergeevich
Ente Autore: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра электроники и автоматики физических установок (№ 24) (ЭАФУ)
Altri autori: Goryunov A. G. Aleksey Germanovich, Manenti F. Flavio
Riassunto:Title screen
In this work it is planned to apply the MPC approach for the optimization of energy consumption of electroerosionprocess for water purification. For this purpose is necessary to develop a mathematical model of the waterpurification process. Distribution of electrical discharges between the metal balls in contaminated water is oneof the stages of electroerosion process for water purification. In this paper a mathematical model of thedistribution of electrical discharges between the metal balls in the aqueous solution is presented. Method ofprobabilistic cellular automata was used to develop a mathematical model, since the distribution of electricaldischarges is a stochastic character. The modeling results were compared with experimental data.
Режим доступа: по договору с организацией-держателем ресурса
Pubblicazione: 2017
Soggetti:
Accesso online:http://dx.doi.org/10.3303/CET1761087
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656753

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330 |a In this work it is planned to apply the MPC approach for the optimization of energy consumption of electroerosionprocess for water purification. For this purpose is necessary to develop a mathematical model of the waterpurification process. Distribution of electrical discharges between the metal balls in contaminated water is oneof the stages of electroerosion process for water purification. In this paper a mathematical model of thedistribution of electrical discharges between the metal balls in the aqueous solution is presented. Method ofprobabilistic cellular automata was used to develop a mathematical model, since the distribution of electricaldischarges is a stochastic character. The modeling results were compared with experimental data. 
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