Çoklu Bileşenli Havalı Sınıflandırıcı Modelinin Geliştirilmesinde Malzemelerin Yoğunluk Ve Akışkanlık Özelliklerinin İncelenmesi

Abstract

In this thesis study, investigating the effects of density and fluidity properties of materials on air classifier performance and increasing reliability of dynamic air classifier model by developing the multi component model structure were aimed. Within this scope, density and fluidity of clinker, copper ore, magnetite and coal samples were specified primarily. Tests were done with a laboratory scale air classifier at varied operating conditions for these four samples having different density and fluidity. With the help of the results obtained from these tests, effects of density and fluidity of the materials were observed. In light of this information, modeling studies were undertaken and correlations were investigated between density and fluidity of the materials and parameters that are separation sharpness, fish hook, cut size and bypass identifying the efficiency curve. By these investigations, it was concluded that separation sharpness and fish hook parameters are related with density and cut size and bypass parameters are related with fluidity. According to this; when density of a material that is fed to a classifier is increased, cut size parameter on the classifier efficiency curve is decreased and bypass parameter is increased; when fluidity of a material that is fed to a classifier is increased, separation sharpness value, identifying the efficiency curve, is increased and fish hook parameter is decreased. To conclude, these relations were stated as mathematical equations and multi component model structure for dynamic air classifiers was suggested by using existing mathematical equations.