Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Has files: YesPublisher: search.filters.publisher.American Ceramic Society

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  • Article
    Doe and Ann Models for Powder Mixture Packing
    (American Ceramic Society, 2007) Akkurt, Sedat; Romagnoli, Marcello; Sütçü, Mücahit
    Design of experiments (DOE) and artificial neural network (ANN) techniques were used to study packing of fused alumina powders composed of three different sizes of particles. The first is the mixture design technique that produces a polynomial model of the powder-packing system. While, the ANN technique is extensively used to model complex systems in many fields. The methodological approach used is mixture design, which can be used to study the influences of two or more additives. It is a structured and organized method for determining the relationship between the components and the output of that process. The mixture design approach permits optimization of size distribution to obtain a target value of porosity. Sensitivity analysis involves the use of the developed ANN model to predict outputs (porosity) at varying levels of the input factor effects.
  • Article
    Citation - WoS: 11
    Citation - Scopus: 19
    Corrosion of Mgo-C Ladle Refractories
    (American Ceramic Society, 2003) Akkurt, Sedat; Leigh, Herbert David
    The corrosion behavior of magnesia-carbon (MgO-C) refractories used in slag lines of secondary steelmaking vessels was investigated using a slag test at high temperature under a protective atmosphere of argon or argon and carbon monoxide. For the investigation, a test method was developed and a statistically designed set of experiments was used to develop a polynomial model of corrosion. The model predicted the increased corrosion as time, temperature and oxygen partial pressure in the atmosphere increased and as slag basicity decreased. The degree of slag attack was found to be dependent on the rate of carbon loss.