In cement production, direct measurements of thermal and chemical variables are often unfeasible as a consequence of aggressive environments, moving parts and physical inaccessibility, therefore, prediction models are essential tools in such industrial applications. Initially, we want to address the problem of the numerical prediction of CaCO3 calcination process, which is the first and the most energy expensive process of clinker production.
This research was carried out in collaboration with Dr. Edoardo Copertaro (Faculty of Engineering of “Universita Politecnica delle Marche”, Ancona, Italy).
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