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Prediction and Optimization of Heavy Clay Products Quality
(Wiley Blackwell, 2014)
The effects of chemical composition, firing temperature (800-1100 °C), and several shape formats of laboratory brick samples on the final product quality were investigated. Prediction of the final laboratory products ...
Advanced Optimization of Heavy Clay Products Quality by Using Artificial Neural Network Mode
(Belgrade : Serbian Ceramic Society, 2014)
The effects of firing temperature (800–1100°C), chemical composition (expressed in terms of
the content of major oxides - SiO2, Al2O3, Fe2O3, CaO, MgO, Na2O, K2O, MnO and
TiO2), as well as several shape formats of ...