title: Gas holdup in cyclone-static micro-bubble flotation column.
abstract: The present work has been carried out to investigate the effect of process variables on gas holdup and develop an empirical equation and a neural network model for online process control of the gas holdup based on the operating variables. In this study, the effect of process variables (nozzle diameter, circulation pressure, aeration rate, and frother dosage) on gas holdup in a cyclone-static micro-bubble flotation column of an air/oily wastewater system was investigated. Gas holdup was estimated using a pressure difference method and an empirical equation was proposed to predict gas holdup. A general regression neural network (GRNN) model was also introduced to predict gas holdup for the cyclone-static micro-bubble flotation column. The predictions from the empirical equation and the GRNN are in good agreement with the experiment data for gas holdup, while the GRNN provides higher accuracy and stability compared with that of the empirical equation.
authors: a National Center for Coal Preparation and Purification Engineering Research , China University of Mining and Technology , Jiangsu 221116 Xuzhou , People's Republic of China.
authors: Xiaobing
authors: X
authors: Li
authors: b Sinopec Petroleum Engineering Corportation , Shandong 257026 , Dongying , People's Republic of China.
authors: Wei
authors: W
authors: Zhu
authors: a National Center for Coal Preparation and Purification Engineering Research , China University of Mining and Technology , Jiangsu 221116 Xuzhou , People's Republic of China.
authors: Jiongtian
authors: J
authors: Liu
authors: b Sinopec Petroleum Engineering Corportation , Shandong 257026 , Dongying , People's Republic of China.
authors: Jian
authors: J
authors: Zhang
authors: c China University of Mining and Technology (Beijing) , Beijing 100083 , People's Republic of China.
authors: Hongxiang
authors: H
authors: Xu
authors: a National Center for Coal Preparation and Purification Engineering Research , China University of Mining and Technology , Jiangsu 221116 Xuzhou , People's Republic of China.
authors: Xiaowei
authors: X
authors: Deng
mesh_terms: D000388:Air; D005740:Gases / Q000737:chemistry*; D045423:Microbubbles; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D009821:Oils / Q000737:chemistry / Q000302:isolation & purification; D011312:Pressure; D062065:Wastewater / Q000737:chemistry; D018508:Water Purification / Q000295:instrumentation*
chemical_list: D005740:Gases; D009821:Oils; D062065:Wastewater
keywords: Gas holdup; General Regression Neural Network; Modelling; cyclone-static micro-bubble flotation column