TY  - JOUR
T1  - COM_TRD_Sim: A Size Reduction Trade-off Software Part 1: Software Capabilities and Infrastructure
AU  - Tuzcu, Tuğcan
PY  - 2025
DA  - October
Y2  - 2025
DO  - 10.30797/madencilik.1389795
JF  - Bilimsel Madencilik Dergisi
JO  - Madencilik
PB  - TMMOB Maden Mühendisleri Odası
WT  - DergiPark
SN  - 2564-7024
SP  - 57
EP  - 66
VL  - 63
IS  - 2
LA  - en
AB  - There are different paths for the comminution of certain size ore down to a target size, such as primary crushing-single stage SAG milling, primary crushing-SAG milling-pebble crushing-ball milling or 3-stage conventional crushing-rod milling-ball milling. Different comminution alternatives result in variate investment (CAPEX) and operating (OPEX) cost options. Other than qualitative decision, decision maker (design engineer) should decide based on economics (CAPEX and OPEX). The COM_TRD_Sim software has been developed for size reduction trade-off. The software accepts the user defined schedule data, processes several different experimental indices available in the literature. It compares the economics for exactly doing the same job (for example: crushing/grinding from 800 mm down to 50 micron for all alternatives). Alternatively, the software estimates CAPEX and OPEX for size reduction of different alternatives for different tasks (from 800 mm down to 50 micron for single stage SAG or from 600 mm down to 150 micron for 3 stage crushing + rod + ball milling).  The software predictions have been verified against several industrial applications and the case studies given in the paper show the software capabilities for new design challenges. This volume explains the software capabilities, infrastructure and the models utilized in the calculation order, which are from the literature and in-house models of MPES Engineering. There are almost 40 mathematical models utilized in the software including MacPherson-WMAC, Starkey-WSDT, SMC and Bond experimental indices.
KW  - Size Reduction Software
KW  - GUI
KW  - Mathematical Model
KW  - SMC
KW  - Starkey
KW  - Bond
KW  - Hogg & Fuerstenau
KW  - MacPherson
CR  - Adel, G. T., 1982. An Interactive Simulation Package for Mineral Processing Systems. D. Eng Thesis, University of California, Berkeley, California.
CR  - Adel, G. T., Sastry, K. V. S., 1983. A Computer Simulator for Dynamic Analysis of Mineral Processing Circuits. In: AIME Meeting, SME, Atlanta, Georgia
CR  - Adel, G.T., Sastry, K.V.S., 1982. Design aspects of a mineral processing simulation package. Proceedings of the APCOM’82, AIME, New York.
CR  - Austin, L.G., 1990. A mill power equation for SAG mills. Mining, Metallurgy & Exploration, 7(1), 57-63.
CR  - Bartlett, J. T., 1987. Process Simulation and Optimization Using METSIM. In Mineral Resource Management by Personel Computer, T. M. Li, S.D. Hadelsman and L. Kovisaars (Eds.). SME, Littleton, 105-116.
CR  - Bazin, C., Franklin, M.,Perry, R., 1994. On-line Material Balance for flotation plants. In: International Conference on Innovations in Mineral Processing, Sudbury.
CR  - Bond F.C., 1947. Crushing Tests by Pressure and Impact. Trans. AIME, Vol. 169, 58-66.
CR  - Bond F.C., 1960. Crushing and Grinding Calculations. British Chemical Engineering. Vol.6 (Rev 1961 by A/C Pub. 07R9235B).
CR  - Bond, F. C., 1963. Metal Wear in Crushing and Grinding. Allis Chalmers Publication No. 07P1701.
CR  - Bond, F.C., 1952. The third theory of comminution. Trans. AIME, Vol. 193, 484–494.
CR  - Brochot, S., Villeneuve, J., Guillaneau, J.C., Durance, M.V., and Bourgeois, F., 2002. USIM PAC 3: Design of mineral processing plants from crushing to refining. In: Mineral Processing Plant Design, Practice, and Control, A.L. Mular, 
D.N. Halbe, and D.J. Barratt (Eds.). Society for Mining, Metallurgy, and Exploration (SME), Vancouver, Canada, 479-494
CR  - Grinding Roll Technology, Vancouver, Canada, Paper No 12.
CR  - Guillaneau, J.-C., Villeneuve, J., Blot, P., 1992. Advances in the Design and Optimization of Mineral Processing Plants. 
Proceedings of the APCOM’92, 23rd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Tucson, Arizona, U.S.A., April 7-11, Chapter 54, 549-566.
CR  - Gupta, V.S., Messa, C.J., 1980. AMAX process evaluation executive (APEX): a general purpose simulator for computing steady state material and energy balances of metallurgical process flowsheets. In: 109th AIME Annual. Meeting, Las Vegas, Nevada.
CR  - Herbst, J.A., Rajamani, K., and Kinneberg, D.J., 1977. ESTIMILL - A Program for Grinding Simulation and Parameter Estimation with Linear Models. User's Manual, Dept. of Metallurgy, University of Utah, Salt Lake City, Utah.
CR  - Hogg, R., Fuerstenau, D.W., 1972. Power Relationship for Tumbling Mills. Transactions of the Society of Mining Engineers-AIME, Vol. 252, 418-432.
CR  - KAJA, D.M., 2002. BRUNO: Metso Minerals’ Plant Simulator. In: Mineral Processing Plant Design, Practice and Control, A.L. Mular, D.N. Halbe, and D.J. Barratt (Eds.). Society for Mining, Metallurgy, and Exploration (SME), vol. 1, 404–420
CR  - King R. P., 1983. MODSIM, Modular Method for Design, Balancing and Simulation· of Ore Dressing Plant Flowsheets. Report No. G9, Department of Metallurgy, University of Witwatersrand, Johannesburg, South Africa.
CR  - Klymowsky, R., Patzelt, N., Knecht, J., Burchardt, E., 2006. An overview of HPGR technology. In: Proceeding International Conference on Autogenous and Semiautogenous Grinding Technology, Vancouver, Vol. IV, 11-26.
CR  - Laguitton, D., 1980. Material Balance of Mineral Processing Flowsheets: FORTRAN Program MATBAL2 – Users Manuel. Report No. MRP/MSL 80-33 (IR), CAN-MET, Ottawa, Canada.
CR  - MacPherson A. R., and Turner R. R., 1978. Autogenous Grinding from Test Work to Purchase of Commercial Unit. In: Mineral Processing Plant Design, A.L. Mular and R.B. Bhappu (Eds.), AIME, New York, 279-305.
CR  - McKee, D.J. Napier-Munn, T.J., 1990 The status of comminution simulation in Australia. Minerals Engineering, 3(1-2), 7-21.
CR  - Morrell, S., 2009. Predicting the overall specific energy requirement of crushing, high pressure grinding roll and tumbling mill circuits. Mineral Engineering, 22(6), 544-549.
CR  - Morrell, S., 2006. Rock characterization for high pressure grinding rolls circuit design. In: Proceedings of the International Autogenous and Semi Autogenous Grinding Technology, Vol. IV, Vancouver, 267–278.
CR  - Mular, A. L., Richardson, J. M., 1986. Metallurgical Balance. In: Design and Installation of Concentration and Dewatering Circuits, A. L. Mular and M. A. Anderson (Eds.). SME, New York, 607-632.
CR  - Mular, A., Herbst, J., 1980. Digital Simulation: An aid for Mineral Processing Plant Design. In: Mineral Processing Plant Design 2nd ed, A. L. Mular and B. Bhappu (Eds.). SME, New York, 306-338.
CR  - Oblad, A.E., Herbst, J. A., 1985. DYNACRUSH - A Program for the Simulation of the Dynamic Behavior of Crusher Circuits, User's Manual, Dept. of Metallurgy, University of Utah, Salt Lake City.
CR  - Oblad, A.E., Herbst, J.A., 1988. SAG/AG S1M.D - A Program for the Dynamic Simulation of Autogenous and Semi-autogenous Grinding Circuits, Manuscript in preparation.
CR  - Pate, W.T., Herbst, J.A., 1987. GRINSIM.D - A Fortran Simulator for Steady State Grinding Circuits. Manuscript in preparation.
CR  - Pérez-Alonso, C. A., Delgadillo, J. A., 2013. DEM-PBM approach to predicting particle size distribution in tumbling mills. Mining, Metallurgy & Exploration, 30(3), 145–150.
CR  - Rajamani, K., Herbst, J. A., 1980. A Dynamic Simulator for the Evaluation of Grinding Control Strategies. Proceedings Particle Technology, Frankfurt, West Germany, Vol. 1, pp. 64-81.
CR  - Richardson, J. M ., D. R. Coles, and J. W. White., 1981. FLEXMET. A Computer Aided and Flexible Metallurgical Technique for Steady-State Flowsheet Analysis. Eng. And Min. J. 182, 88-95.
CR  - Rose, H.E., English J.E., 1967 Transaction of. IMM, 76, C32.
CR  - Sastry, K. V. S. & Adel, G. T, 1984. A survey of computer simulation software for mineral processing systems. In: Control '84,  J. A. Herbst (Ed.), AIME, New York, 121-130.
CR  - Schwarz, S., Alexander, D., 2006. JKSimFloat V6.1PLUS: Improving flotation circuit performance by simulation. In: 
Proceeding of the Mineral Process Modelling, Simulation and Control Conference, Laurentian University, Mineral Industry (APCOM), Santiago, Chile, 461-466.
CR  - Starkey, J., Hindstrom, S., and Nadasdy, G. 2006. SAGDesign Testing-What it is and Why it Works. In: Proceedings of the Conference on International Autogenous and Semi-Autogenous Grinding Technology, Vancouver, 240-254.
CR  - Wiegel, R. L., 1972. Advances in Mineral Processing Material Balances. Canadian Metallurgical Quarterly, Vol. 11, No. 2, 417-424.
CR  - Zaragoza, R., Herbst. J.A., 1988. Model-based Feedforward Control scheme for Flotation Plants. Minerals and Metallurgical Processing Vol.5, No. 4, 177-185.
UR  - https://doi.org/10.30797/madencilik.1389795
L1  - https://dergipark.org.tr/tr/download/article-file/3532900
ER  -