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Improved modeling of the grinding process through the combined use of matrix and population balance models

Petrakis Evaggelos, Komnitsas Konstantinos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/FB398751-5570-46C3-ABAA-0291F2EF9208-
Αναγνωριστικόhttp://www.mdpi.com/2075-163X/7/5/67-
Αναγνωριστικόhttps://doi.org/10.3390/min7050067-
Γλώσσαen-
ΤίτλοςImproved modeling of the grinding process through the combined use of matrix and population balance modelsen
ΔημιουργόςPetrakis Evaggelosen
ΔημιουργόςΠετρακης Ευαγγελοςel
ΔημιουργόςKomnitsas Konstantinosen
ΔημιουργόςΚομνιτσας Κωνσταντινοςel
ΕκδότηςMDPIen
ΠερίληψηThe mechanistic approach has proven so far to be flexible and successful for simulation of the grinding process. The basic idea underlying mechanistic models, namely the matrix and population balance models, is based on the identification of natural events during grinding. Since each model has its own capabilities and limitations, their combined use may offer additional advantages on this aspect. In this study, the matrix model and the selection function, namely the probability of breakage of the population balance model, were combined through a MATLAB code to predict the size distribution of the grinding products of quartz, marble, quartzite and metasandstone. The modeling results were in very good agreement with the particle size distributions obtained after grinding the feeds in a ball mill.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-05-14-
Ημερομηνία Δημοσίευσης2017-
Θεματική ΚατηγορίαBall millen
Θεματική ΚατηγορίαComminutionen
Θεματική ΚατηγορίαGrindingen
Θεματική ΚατηγορίαMatrix modelen
Θεματική ΚατηγορίαParticle size distributionsen
Θεματική ΚατηγορίαPopulation balance modelen
Βιβλιογραφική ΑναφοράE. Petrakis and K. Komnitsas, "Improved modeling of the grinding process through the combined use of matrix and population balance models," Minerals, vol. 7, no. 5, May 2017. doi: 10.3390/min7050067en

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