会议专题

Gas-liquid jet pump crystallizer in phosphorus recycling technology-neural network model

  The struvite (MgNH4PO4·6H2O) continuous reaction crystallization process from phosphorus mineral fertilizers industry wastewater containing 0.445 mass % of phosphate(Ⅴ) ions and typical impurities was investigated.Original gas-liquid jet pump DTM MSMPR (Draft Tube Magma,Mixed Suspension Mixed Product Removal) crystallizer fed with compressed air generating ascending suspension flow in a mixing chamber was applied.Influence of pH (8.5-10),mean residence time of suspension in a crystallizer τ (900-3600 s) and magnesium ions excess (0-20%) on population density distribution of product crystals was identified.Artificial neural network (ANN) was used for creation of numerical,fully functional model of the process.

struvite continuous reaction crystallization, numerical model, artificial neural network, industrial wastewater gas-liquid jet pump DTM MSMPR crystallizer, phosphorus recycling

Krzysztof Piotrowski Andrzei Matynia Nina Hutnik

Department of Chemical & Process Engineering, Silesian University of Technology, ks.M.Strzody 7, 44- Wroclaw University of Technology, Faculty of Cheraistry, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw,

国际会议

2013 International Symposium on Environmental Science and Technology(2013环境科学与技术国际会议)

大连

英文

608-615

2013-06-04(万方平台首次上网日期,不代表论文的发表时间)