Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/105710
Type: Artigo de evento
Title: Hybrid Optical Fiber Sensor And Artificial Neural Networks System For Bioethanol Quality Control And Productivity Enhancement
Author: Gusken E.
Salgado R.M.
Rossell C.E.V.
Ohishi T.
Suzuki C.K.
Abstract: Bioethanol is produced by bio-chemical process that converts sugar or biomass feedstock into ethanol. After bio-chemical process, the solution is distilled under controlled conditions of pressure and temperature, in order to obtain an ethanol-water solution. However, the ethanol concentration analysis is generally performed off-line and, sometimes, a re-distillation process becomes necessary. In this research, an optical apparatus based on Fresnel reflection has been used in combination with artificial neural networks for determination of bioethanol concentration in hydro-alcoholic solution at any temperature. The volumetric concentration and temperature effect was investigated. This intelligent system can effectively detect and update in real-time the correction of distillation parameters to reduce losses of bioethanol and also to improve the quality in a production plant.
Editor: 
Rights: aberto
Identifier DOI: 10.1117/12.786030
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-45549096232&partnerID=40&md5=068e9e9daeaf01b2b81064a1591031a5
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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