×
Home Current Archive Editorial board
News Contact
Professional paper

PREDICTION MODELS OF NON-FERROUS SECONDARY RAW MATERIALS FORMATION

By
Miroslav Sokić ,
Miroslav Sokić
Contact Miroslav Sokić

Institute for Technology of Nuclear and other Mineral Raw Materials , Belgrade , Serbia

Ilija Ilić ,
Ilija Ilić

Faculty of Technology and Metallurgy, University of Belgrade , Belgrade , Serbia

Zvonko Gulišija ,
Zvonko Gulišija

Institute for Technology of Nuclear and other Mineral Raw Materials , Belgrade , Serbia

Željko Kamberović ,
Željko Kamberović

Faculty of Technology and Metallurgy, University of Belgrade , Belgrade , Serbia

Nada Štrbac ,
Nada Štrbac

Technical Faculty, University of Belgrade , Belgrade , Serbia

Vaso Manojlović
Vaso Manojlović

Institute for Technology of Nuclear and other Mineral Raw Materials , Belgrade , Serbia

Abstract

For the prediction of formation of non-ferrous processing and accumulating waste both model of balancing and model of correlation and regression analysis can be employed, while the dynamic model can be applied only for the accumulating waste. Estimates of the formation of certain type of metallic secondary raw materials in model of balancing are based on data of production and consumption of metals and on the numerical values of the waste formation coefficients. Applying of correlation and regression analysis method on the assessment of metallic waste formation is based on finding the functional dependence between the creation of metallic waste and quantity of waste on the input stream of processing as well as correlation with metal fund for accumulation waste. The dynamic model are linking the effect of the products materials content and design on the amount of the quantity of the used products which are recycled over time, including various external influential factors.

Citation

Authors retain copyright. This work is made freely available online under an open-access model under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-http://creativecommons.org/licenses/by-nc-nd/4.0/BY-NC-ND 4.0).

Article metrics

Google scholar: See link

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.