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


YURDUSEV M. A. , Kumanlioglu A. A. , Abali Y., Zeybek M. S. , Canpolat F.

International Conference on Sustainable Construction Materials and Technologies, Coventry, England, 11 - 13 June 2007, pp.589-590 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Coventry
  • Country: England
  • Page Numbers: pp.589-590

Abstract

In 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.