Sintered SiO2 Modulus of Rupture Optimization by Means of Artificial Neural Networks

This article discusses the use of artificial neural networks for solving industrial non-trivial problem, which is undoubtedly modulus of rupture optimization in case of sintered ceramics based on amorphous SiO2. Melting crucibles made from high purity silica are commonly used for production of high purity silicon ingots that are used in photovoltaic industry. Optimal modulus of rupture is very important variable that is related to the reliability and crucible usage value.