Determination of Local Gas Hold-up and Volumetric Mass Transfer Co-efficient in a Bubble Column by Means of an Ultrasonic Method and Neural Network

Autor:	M.D. Supardan, Akinori Maezawa, Shigeo Uchida
Rok vydání:	2003
Předmět:	Novel technique Bubble column Artificial neural network Chemistry General Chemical Engineering Mass transfer Gas holdup Thermodynamics Ultrasonic sensor General Chemistry Industrial and Manufacturing Engineering
Zdroj:	Chemical Engineering & Technology. 26:1080-1083
ISSN:	1521-4125 0930-7516
Popis:	This paper presents the implementation of a novel technique based on an ultrasonic and neural network, to simultaneoulsy determine e g and k L a, in a 2-D bubble column. Preliminary results showing the capability of the proposed method will be presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f3701ad7d824a28f53286a38bb7fc448 https://doi.org/10.1002/ceat.200301752 Zobrazit plný text záznamu Plný text