Mining of Mineral Deposits

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Modeling and evaluating mill plant production using AggFlow software: Case study in the South of Jordan

Ashraf Alsafasfeh1

1Tafila Technical University, Tafila, Jordan


Min. miner. depos. 2024, 18(1):119-124


https://doi.org/10.33271/mining18.01.119

Full text (PDF)


      ABSTRACT

      Purpose.This paper aims to investigate the process of modeling and simulating the mill plant operations with a specific emphasis on the use of AggFlow software. The main purpose is to highlight the importance of modern approaches in to mill plant operation, with a focus on the crucial role of simulation in improving production processes, reducing inefficiencies and optimizing resource use.

      Methods. The AggFlow software is used to model current operations at a mill plant in Jordan with a specific emphasis on the limestone production in different size fractions. The accuracy of the simulation is verified by carefully comparing it with actual operational data, confirming the AggFlow effectiveness in predictive modeling to enhance mill plant performance.

      Findings. This study has systematically increased the production rates of mill plant products through thorough analysis while ensuring that the supplying conditions remain consistent. The aim was to increase production efficiency while guaran-teeing the marketability of the finished products. The findings provided useful insights into effective operational modifications and strategies for enhancing production rates while maintaining product quality.

      Originality. This research provides novel insights by integrating actual mill plant operations with sophisticated simulation utilizing AggFlow software. The study confirms the reliability of AggFlow as a tool for predicting models and offers new insights into enhancing production efficiency in mill plant environments.

      Practical implications.The research results are directly applicable to mill plant operators, providing a realistic method for improving operational efficiency through the use of AggFlow simulation. The research provides practical methods that can be implemented to optimize production rates and maintain consistent product quality in mill plant operations.

      Keywords: AggFlow, mill plant operations, quarry, production optimization, crusher


      REFERENCES

  1. Mular, A.L., Halbe, D.N., & Barratt, D.J. (2002). Mineral processing plant design, practice, and control proceedings. Vancouver, Canada: Society for Mining, 2422 p.
  2. Segura-Salazar, J., & Tavares, L.M. (2018). Sustainability in the minerals industry: Seeking a consensus on its meaning. Sustainability, 10(5), 1429. https://doi.org/10.3390/su10051429
  3. Luukkanen, S., Tanhua, A., Zhang, Z., Canales, R. M., & Auranen, I. (2022). Towards waterless operations from mine to mill. Minerals Engineering, 187, 107793. https://doi.org/10.1016/J.MINENG.2022.107793
  4. Wills, B.A., & Finch, J. (2015). Wills’ mineral processing technology: An introduction to the practical aspects of ore treatment and mineral recovery. Oxford, United Kingdom: Butterworth-Heinemann, 498. https://doi.org/10.1016/B978-0-08-097053-0.00001-7
  5. Adel, G., Kojovic, T., & Thornton, D. (2006). Mine-to-mill optimization of aggregate production. Technical report DE-FC26-04NT42084. Blacksburg, United States: Virginia Polytechnic Institute and State University, 157 p. https://doi.org/10.2172/914568
  6. Law, A.M., & Kelton, W.D. (2007). Simulation modeling and analysis. New York, United States: Mcgraw-Hill, 155 p.
  7. Pawlikowski, K. (1990). Steady-state simulation of queueing processes: Survey of problems and solutions. ACM Computing Surveys (CSUR), 22(2), 123-170. https://doi.org/10.1145/78919.78921
  8. King, R.P. (2001). Modeling and simulation of mineral processing systems. Utah, United States: Elsevier, 403 p. https://doi.org/10.1016/C2009-0-26303-3
  9. Okolnishnikov, V.V., Rudometov, S.V., Shakirov, S.R., & Zhuravlev, S.S. (2017). Testing of process control systems in mining using simulation. MATEC Web of Conferences, 125, 04011. https://doi.org/10.1051/MATECCONF/201712504011
  10. Teplická, K., & Straka, M. (2020). Sustainability of extraction of raw material by a combination of mobile and stationary mining machines and optimization of machine life cycle. Sustainability, 12(24), 10454. https://doi.org/10.3390/SU122410454
  11. Agboola, O., Babatunde, D.E., Isaac Fayomi, O.S., Sadiku, E.R., Popoola, P., Moropeng, L., & Mamudu, O.A. (2020). A review on the impact of mining operation: Monitoring, assessment and management. Results in Engineering, 8, 100181. https://doi.org/10.1016/J.RINENG.2020.100181
  12. Laciak, M., & Šofranko, M. (2013). Designing of the technological line in the SCADA system PROMOTIC. Proceedings of the 14th International Carpathian Control Conference, 202-207. https://doi.org/10.1109/CARPATHIANCC.2013.6560538
  13. Tufan, B. (2017). Flowsheet assessment and capacity evaluation of an iron ore processing plant by simulation. Tehnički Vjesnik, 24(4), 1173-1178. https://doi.org/10.17559/TV-20150621222213
  14. Yu, B.Y., Yang, G., Lee, K., & Yoo, C. (2016). AggFlow: Scalable and efficient network address virtualization on software defined networking. Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, 1-6. https://doi.org/10.1145/3010079.3012012
  15. Tufan, B., & Tufan, E. (2018). Evaluating the impacts of jaw crusher design parameters by simulation. Materials of the 10th International Conference on Advances in Science, Engineering and Technology, 5-9.
  16. Elgendi, E.O., & Shawki, K. (2021). Automated process control system of jaw crusher production. Journal of Physics: Conference Series, 2128(1), 012034. https://doi.org/10.1088/1742-6596/2128/1/012034
  17. AggFlow. (2023). What is AggFlow [online]. Retrieved from https://www.aggflow.com/
  18. Alsafasfeh, A., Alawabdeh, M., Alfuqara, D., Gougazeh, M., & Amaireh, M.N. (2022). Oil shale ash as a substitutional green component in cement production. Advances in Science and Technology. Research Journal, 16(4), 157-162.https://doi.org/10.12913/22998624/152464
  19. Gougazeh, M., Alsaqoor, S., Borowski, G., Alsafasfeh, A., & Hdaib, I.I. (2022). The behavior of Jordanian oil shale during combustion process from the El-Lajjun Deposit. Journal of Ecological Engineering, 23(8), 133-140. https://doi.org/10.12911/22998993/150682
  20. Dweirj, M., Fraige, F., Alnawafleh, H., & Titi, A. (2016). Geotechnical characterization of Jordanian limestone. Geomaterials, 7(1), 1-12. https://doi.org/10.4236/GM.2017.71001
  21. Alrawashdeh, R., & Al-Thyabat, S. (2012). Mining in Jordan: Challenges and prospects. International Journal of Mining and Mineral Engineering, 4(2), 116-138. https://doi.org/10.1504/IJMME.2012.052437
  22. Al Amayreh, H.H., Khalaf, A., Hawwari, M.I., Hourani, M.K., & Al Bawab, A. (2023). The recovery of vanadium pentoxide (V2O5) from spent catalyst utilized in a sulfuric acid production plant in Jordan. Materials, 16(19), 6503. https://doi.org/10.3390/MA16196503
  23. Alsafasfeh, A., & Alagha, L. (2017). Recovery of phosphate minerals from plant tailings using direct froth flotation. Minerals, 7(8), 145. https://doi.org/10.3390/MIN7080145
  24. Alsafasfeh, A., & Alagha, L. (2023). Chitosan as an eco-friendly alternative for silicate depressant in phosphate flotation. Jordanian Journal of Engineering & Chemical Industries (JJECI), 6(2), 34-38.https://doi.org/10.48103/jjeci662023
  25. Al Rawashdeh, R. (2023). Feasibility of copper mines in Jordan. Arabian Journal of Geosciences, 16(1), 50. https://doi.org/10.1007/S12517-022-11063-9
  26. Alnawafleh, H., Tarawneh, K., & Alrawashdeh, R. (2013). Geologic and economic potentials of minerals and industrial rocks in Jordan. Natural Science, 5(6), 756-769. https://doi.org/10.4236/NS.2013.56092.

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