4 papers
Liquidus temperature nonlinear modeling of silicates
Patrick dos Anjos, Lucas A. Quaresma, Marcelo L. P. Machado
The liquidus temperature is an important parameter in understanding the crystalline behavior of materials and in the operation of blast furnaces. Its modeling can be carried out by…
Development of Non-Linear Equations for Predicting Electrical Conductivity in Silicates
Patrick dos Anjos, Lucas A. Quaresma, Marcelo L. P. Machado
Electrical conductivity is of fundamental importance in electric arc furnaces (EAF) and the interaction of this phenomenon with the process slag results in energy losses and low op…
Artificial neural networks for predicting the viscosity of lead-containing glasses
Patrick dos Anjos, Lucas A. Quaresma, Marcelo L. P. Machado
The viscosity of lead-containing glasses is of fundamental importance for the manufacturing process, and can be predicted by algorithms such as artificial neural networks. The SciG…
Linear Modeling of the Glass Transition Temperature of the system
Patrick dos Anjos, Lucas A. Quaresma, Marcelo L. P. Machado
This work aimed to mathematically model the glass transition temperature (Tg), one of the most important parameters regarding the behavior of slag, responsible for the sudden chang…