Abstract
To carry out metallurgical and economic calculations as well as plant control, mass balance for mineral processing circuits is a very important and fundamental issue. For this purpose, sufficient and correct data from mineral processing circuits are necessary. On the other hand, due to economic or technical reasons, measurement or sampling from all of circuits is not possible. In this paper, regarding the measurement or sampling system that has been installed in the mineral processing circuit, a basic cycle matrix method was used for the determination of observable and unobservable variables in the mineral processing circuit. Also, two new methods including linear and bilinear methods were used for calculation of observable variables. These methods have been used in the case study related to dry tailing processing of the Golegohar iron processing plant.
Similar content being viewed by others
References
Wiegel R.L.: Advance in mineral processing material balances. Can. Metall. Q. 11, 413–424 (1972)
Smith H.W., Ichiyen N.M.: Computer adjustment of metallurgical balances. CIM Bull. 66, 97–100 (1973)
Hodouin D., Kasango T., Kouame E., Everell M.D.: Bilmat-An algorithm for material balancing mineral processing circuits-Applications to comminution, desliming and flotation circuits. CIM Bull. 74, 123–131 (1981)
Hodouin D., Flament F., Bazin C.: Reliability of material balance calculations—a sensitivity approach. Miner. Eng. 2, 157–170 (1989)
Hodouin D., Macgergor J.F., Hou M., Franklin M.: Multivariate statistical analysis of mineral processing plant data. CIM Bull. 86, 23–34 (1993)
Cimon, D.; Barbery, G.; Flament, F.; Hodouin, D.: Materials balance in gold processing plants. Proc. Gold Metal. Int. Symp. 9–21 (1987)
Bazin C., Franklin M.: Real-time material balance for flotation plants using a least squares recursive algorithm. Int. J. Miner. Process. 46, 231–244 (1996)
Hodouin D., Gelpe T., Everell M.D.: Sensitivity analysis of material balance calculations- an application to a cement clinker grinding circuit. Powder Technol. 3, 139–153 (1982)
Makni, S.; Hodouin, D.; Bazin, C.: On-line data reconciliation by minimization of a weighted sum of squared residuals and node imbalances. In: Proceedings of the XIX International Minereral Processing Conference, San Francisco, USA (1995)
Hodouin D., Everell M.D.: A hierarchical procedure for adjustment and material balancing of mineral process data. Int. J. Miner. Process. 7, 91–116 (1980)
Hodouin, D.; Makni, S.: Data reconciliation for stationary multi-phase multi-stream metallurgical processes. Accepted for presentation at the IFAC–MMM Symposium, Düsseldorf (1998)
Hodouin D., Mirabedini A., Makni S., Bazin C.: Reconciliation of mineral processing data containing correlated measurement errors. Int. J. Miner. Process. 54, 201–215 (1998)
Mandel D., Abdollahzadeh A., Maquin D., Ragot J.: Data reconciliation by inequality balance equilibration: a LMI approach. Int. J. Miner. Process. 53, 157–168 (1998)
Bazin C., Hodouin D., Zouadi M.: Data reconciliation and equilibrium constant estimation: application to copper solvent extraction. Hydrometallurgy 80, 43–53 (2005)
Andrade Lima L.R.P.: Nonlinear data reconciliation in gold processing plants. Miner. Eng. 19, 938–951 (2006)
Alhaj Dibo M., Maquin D., Ragot J.: Data reconciliation: a robust approach using a contaminated distribution. Control Eng. Pract. 16, 159–170 (2008)
Vasebi A., Poulin E., Hodouin D.: Dynamic data reconciliation in mineral and metallurgical plants. Annu. Rev. Control 36, 235–243 (2012)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rahimi, M., Abdollahzadeh, A. & Rezai, B. Observability Study of the Circuit Variables in the Dry Tailing Processing (DTP) of Golegohar Iron Processing Plant Using Linear and Bilinear Methods. Arab J Sci Eng 39, 5847–5859 (2014). https://doi.org/10.1007/s13369-014-1177-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13369-014-1177-5