Extending experimental data to investigate phosphogypsume use in light brick by Artificial Neural Networks

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dc.contributor.authorYurdusev M.A.
dc.contributor.authorKumanlioǧlu A.A.
dc.contributor.authorAbali Y.
dc.contributor.authorZeybek M.S.
dc.contributor.authorCanpolat F.
dc.date.accessioned2024-07-22T08:22:30Z
dc.date.available2024-07-22T08:22:30Z
dc.date.issued2007
dc.description.abstractIn this study, usability of wastes produced in phosphoric acid plants in structural brick manufacture has been investigated. A series of experiments for three different material combinations namely original waste plus normal brick clay, washed waste plus normal brick clay and normal brick clay with no additive were carried out to achieve this end. The results have shown that the industrial wastes considered improve the performance of the bricks. However, the results have also shown that further investigations are needed to explore the effects of interim or outer values on the performance of the bricks. To active that end, a neural experimental study is adopted. The outcome of these artificial tests have provided the appropriate values for the waste addition rate, firing speed and firing temperature. © 2007 Taylor & Francis Group, London.
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/19103
dc.language.isoEnglish
dc.subjectChemical plants
dc.subjectNeural networks
dc.subjectPhosphoric acid
dc.subjectAddition rate
dc.subjectBrick manufactures
dc.subjectExperimental data
dc.subjectExperimental studies
dc.subjectFiring temperature
dc.subjectMaterial combination
dc.subjectBrick
dc.titleExtending experimental data to investigate phosphogypsume use in light brick by Artificial Neural Networks
dc.typeConference paper

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