پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 163 |
| تعداد شمارهها | 6,878 |
| تعداد مقالات | 74,137 |
| تعداد مشاهده مقاله | 137,889,967 |
| تعداد دریافت فایل اصل مقاله | 107,260,680 |
Numerical investigation on the effect of roller screen operating parameters on the mechanical behavior of its rolls in classification of green iron ore pellets through coupled DEM-FEM simulation | ||
| International Journal of Mining and Geo-Engineering | ||
| مقاله 12، دوره 59، شماره 3، آذر 2025، صفحه 299-313 اصل مقاله (2.15 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijmge.2025.393344.595239 | ||
| نویسندگان | ||
| Mehrshad Asghari1؛ Mohammad Noaparast* 1؛ Mohamamd Jahani Chegeni2 | ||
| 1School of Mining Engineering, College of Engineering, University of Tehran. | ||
| 2Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran. | ||
| چکیده | ||
| The operational parameters of the roller screen substantially affect the efficiency and mechanical performance of its components, particularly those of the rolls. This study presents, for the first time, extensive coupled simulations employing the discrete element method-finite element method (DEM-FEM) to examine the effects of operating parameters on the mechanical behavior of rolls. This is achieved through the utilization of a realistic geometric model of the green pellets in conjunction with a hysteretic spring elastic-plastic contact model. The investigation revealed that decreasing the undersize gap from 9.75 mm to 9 mm led to increases of 20.27%, 29.71%, and 102.91% in the average force, total deformation, and equivalent stress exerted on the rolls, respectively. Furthermore, coupled DEM-FEM simulation tests of an industrial-scale roller screen were conducted for the first time, and the results obtained were compared with those from laboratory tests. The average force acting on the rolls of the laboratory roller screen was measured at 2.43 N. In contrast, simulations of a full-scale roller screen operating at capacities of 120 t/h and 200 t/h revealed average forces of 34.46 N and 54.06 N, respectively. The average total deformation observed in the rolls of the laboratory roller screen was measured at 4.27E-05 mm. In contrast, under industrial conditions, this deformation increased significantly to 1.89E-02 mm at a processing capacity of 120 t/h, and further escalated to 2.95E-02 mm at a capacity of 200 t/h | ||
| کلیدواژهها | ||
| Coupled DEM-FEM simulation؛ Equivalent Stress؛ Green pellets؛ Industrial-scale roller screen؛ Total deformation | ||
| مراجع | ||
|
[1] Gadallah, M.R. and R. Fisher, Seismic Fundamentals, in Exploration Geophysics, M.R. Gadallah and R. Fisher, Editors. 2009, Springer Berlin Heidelberg: Berlin, Heidelberg. p. 17-29.
[2] Dashtbankhor, B., M.K. Hafizi, and F. Jafari, Gold exploration in silica veins in Bajestan County using IP/Rs method, in The Second National Congress of New Technologies of Iran with the Aim of Achieving Sustainable Development. 2015.
[3] Talebi, M.A., et al., Geophysical modeling of resistivity and electrical chargeability data for exploration of building stones, case study: Atashkooh travertine. Applied geophysical research, 2022. 8(1): p. 27-40.
[4] Oldenburg, D. and Y. Li, 5. Inversion for Applied Geophysics: A Tutorial. Near-surface Geophysics, 2005.
[5] Pourhashemi, S., R. Ghanati, and A. AliHeidari, Time-domain induced polarization tomography inversion. International Journal of Mining and Geo-Engineering, 2024. 58(2): p. 153-160.
[6] Mostafaei, K. and H. Ramazi, Application of electrical resistivity method in sodium sulfate deposits exploration, case study: Garmab, Iran. Journal of Biodiversity and Environmental Sciences, 2015. 6: p. 2220-6663.
[7] Talebi, M.A., et al., 3D inverse modeling of electrical resistivity and chargeability data through unstructured meshing, a case study for travertine exploration. International Journal of Mining and Geo-Engineering, 2023. 57(2): p. 131-140.
[8] Rücker, C., T. Günther, and F. Wagner, pyGIMLi: An open-source library for modelling and inversion in geophysics. Computers & Geosciences, 2017. 109: p. 106-123.
[9] Blanchy, G., et al., ResIPy, an intuitive open-source software for complex geoelectrical inversion/modeling. Computers & Geosciences, 2020. 137: p. 104423.
[10] Damavandi, K., et al., Comparison of geoelectric modeling based on structural and non-structural mesh, case study: Tehran-North Expressway, in The Second National Conference on Data Mining in Earth Sciences. 2021.
[11] Ahmadi, R. and J. Ehsan nejad, 3-D geophysical modeling using 2-D acquisitioned data and geostatistics for Yazd, Ali-Abad copper deposit to propose optimal drilling location. Researches in Earth Sciences, 2024. 15(2): p. 77-95.
[12] Loke, M., Tutorial: 2-D and 3-D Electrical Imaging Surveys. 2001.
[13] Chambers, J., et al., Bedrock detection beneath river terrace deposits using three-dimensional electrical resistivity tomography. Geomorphology, 2012. s 177–178: p. 17–25.
[14] Doetsch, J., et al., Imaging and Quantifying Salt-Tracer Transport in a Riparian Groundwater System by Means of 3D ERT Monitoring. Geophysics, 2012. 77: p. B207-B218.
[15] Uhlemann, S., et al., Four-dimensional imaging of moisture dynamics during landslide reactivation. Journal of Geophysical Research: Earth Surface, 2017. 122(1): p. 398-418.
[16] Damavandi, K., et al., Geoelectrical modelling of a landslide surface through an unstructured mesh. Bollettino di Geofisica Teorica ed Applicata, 2022.
[17] Geuzaine, C. and J.-F. Remacle, Gmsh: A 3-D Finite Element Mesh Generator with Built-in Pre- and Post-Processing Facilities. International Journal for Numerical Methods in Engineering, 2009. 79: p. 1309-1331.
[18] Abedi, M., A focused and constrained 2D inversion of potential field geophysical data through Delaunay triangulation, a case study for iron-bearing targeting at the Shavaz deposit in Iran. Physics of The Earth and Planetary Interiors, 2020.
[19] Danaei, K., et al., 3D inversion of gravity data with unstructured mesh and least-squares QR-factorization (LSQR). Journal of Applied Geophysics, 2022. 206.
[20] Gouet, D., et al., Gold Mineralization Channels Identification in the Tindikala-Boutou Area (Eastern-Cameroon) Using Geoelectrical (DC & IP) Methods: A Case Study. International Journal of Geosciences, 2013. 4: p. 643-655.
[21] Guo, W., et al., Geophysical exploration for gold in Gansu Province, China. Exploration Geophysics - EXPLOR GEOPHYS, 1999. 30.
[22] Gurin, G.V., et al., Application of the Debye decomposition approach to analysis of induced-polarization profiling data (Julietta gold-silver deposit, Magadan Region). Russian Geology and Geophysics, 2015. 56(12): p. 1757-1771.
[23] Malekzadeh Shafarudi, A., M.R. Heydarian Shahri, and M.H. Karimpour, Mineralization and geophysical exploration using IP/RS and ground magnetometry in and around the MA-I area, Maherabad Porphyry Copper-Gold Exploration Area, Eastern Iran. Economic geology, 2010. 1(1): p. 1-17.
[24] Aalaminia , Z., et al., Mineralization and interpretation of geophysical survey, IP/RS, in Hassan Abad Gold-Antimony, northeast of Iran. Iranian Journal of Crystallography and Mineralogy, 2011. 18(4): p. 723-734.
[25] Paterson, N.R. and P.G. Hallof, Geophysical exploration for gold, in Gold metallogeny and exploration, R.P. Foster, Editor. 1991, Springer US: Boston, MA. p. 360-398.
[26] Sono, P., et al., An integrated use of induced polarization and electrical resistivity imaging methods to delineate zones of potential gold mineralization in the Phitshane Molopo area, Southeast Botswana. Journal of African Earth Sciences, 2020. 174.
[27] Ruchkin, G. and Y.N. Deryugin, Zolotonosnost ’rannedokembriiskikh zhelezitykh kvartsitov. Obzor VIEMS Geologiya, metody poiskov i razvedki mestorozhdenii metallicheski poleznykh iskopaemykh, 1988.
[28] Goryachev, N., Gold Deposits in the Earth’s History. Geology of Ore Deposits, 2019. 61: p. 495-511.
[29] Aliyari, F., E. Rastad, and M. Mohajjel, Gold Deposits in the Sanandaj–Sirjan Zone: Orogenic Gold Deposits or Intrusion-Related Gold Systems? Resource Geology, 2012. 62.
[30] Heidari, S.M., et al., A review of tectono-magmatic evolution and gold metallogeny in the inner parts of Zagros orogeny: a tectonic model for the major gold deposits, western Iran. Eurasian Mining, 2016: p. 3-20.
[31] Final exploration report of the study area. 2023.
[32] M. Mehrparto, N.K.N., Geological report of the 1:100,000 map of Varzaghan and Kalibar, Geological and Mineral Exploration Organization of the country. 1999.
[33] Farahani, N., et al., Exploration of gold-bearing barite veins using IP and RS methods, in 18th Iranian National Geophysical Congress. 2018.
[34] Park, J.-O., Y.-J. You, and H.J. Kim, Electrical resistivity surveys for gold-bearing veins in the Yongjang mine, Korea. Journal of Geophysics and Engineering, 2009. 6(1): p. 73-81.
[35] Moradzadeh, A. and A. Arab Amiri, Parametric inverse modeling of polarization and resistivity data of a durable mineral index, in The 8th Conference of the Geological Society of Iran. 2009.
[36] Shahmirzae, M. and M. Darijani, Two-dimensional geomagnetic forward modeling using adaptive finite element method and investigation of the topographic effect. Journal of Applied Geophysics, 2014. 105.
[37] Groves, D., et al., Gold Deposits in Metamorphic Belts: Overview of Current Understanding,Outstanding Problems, Future Research, and Exploration Significance. Economic Geology, 2003. 98: p. 1-29.
[38] Seimetz, E.X., et al., Geoelectric Signature of Gold Mineralization in the Alta Floresta Gold Province, Mato Grosso State, Brazil. Minerals, 2023. 13(2): p. 203. | ||
|
آمار تعداد مشاهده مقاله: 225 تعداد دریافت فایل اصل مقاله: 18 |
||
سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب