بررسی ارتباط خواص شیمیایی، فیزیکی و مکانیک سنگی بلوکهای آهن معدن چغارت، با مقدار D50 دانه‌بندی حاصل از آتشباری | |
| روش های تحلیلی و عددی در مهندسی معدن | |
| مقاله 4، دوره 14، شماره 40، مهر 1403، صفحه 49-64 اصل مقاله (1.76 M) | |
| نوع مقاله: مقاله پژوهشی | |
| شناسه دیجیتال (DOI): 10.22034/anm.2024.20099.1596 | |
| نویسندگان | |
| جواد کمالی1؛ حسین جلالی فر* 2؛ علیرضا یاراحمدی بافقی3 | |
| 1دانشکده فنی و مهندسی، بخش معدن، دانشگاه آزاد اسلامی، واحد سیرجان، سیرجان، ایران | |
| 2دانشکده نفت و مهندسی معدن، دانشگاه شهید باهنر، کرمان، ایران | |
| 3دانشکده مهندسی معدن و متالورژی، دانشگاه یزد، یزد، ایران | |
| چکیده | |
| عملیات آتشباری یکی از مهمترین و پرهزینه‌ترین عملیات در فرایند معدنکاری است. آتشباری درواقع، ابتدای سیستم خردایش سنگ در معدن است. همچنین آتشباری تولیدکننده سنگ موردنیاز مراحل بعدی خردایش است. ابعاد محصول تولیدی آتشباری، نقش بسزایی در قابلیت خردایش سنگشکنی و آسیاکنی خواهد داشت، به این دلیل، جهت تولید محصول با ابعاد مناسب ابتدا لازم است شناخت کافی از شرایط فیزیکی، مکانیکی و شیمیایی بلوکهای معدنی حاصل شود. در این پژوهش با مطالعه 26 بلوک سنگ‌آهن معدن چغارت بعد از عملیات آتشباری، نسبت به برداشت ویژگیهای فیزیکی، مکانیکی و شیمیایی بلوکهای معدن چغارت اقدام شد. در ادامه، بعد از عملیات آتشباری با تصویربرداری از سطح بلوک منفجرشده، اقدام به آنالیز تصویری ابعاد محصول آتشباری گردید. در مرحله بعد، از سطح بلوک آتشباری شده نمونههای سنگیای جهت انجام آزمایشات ژئومکانیکی و شیمیایی اخذ شد. بعد از انجام آزمایشات، ارتباط بین ویژگیهای فیزیکی، شیمیایی و مکانیکی سنگهای مورد آزمایش با ابعاد محصول آتشباری (D50) موردبررسی قرار گرفت. ویژگیهای موردبررسی در این مطالعه شامل: مقاومت فشاری تک‌محوره، مدول الاستیسیته، ضریب پواسون، مقاومت کششی غیرمستقیم، چسبندگی، زاویه اصطکاک داخلی، درصد سیلیس، آهن و اکسید آهن موجود در بلوک آتشباری میباشند. در پایان، با استفاده از روش تحلیل آماری رگرسیون خطی تک متغیره و چند متغیره، معادلاتی برای تخمین ابعاد محصول تولیدی (D50) حاصل از انفجار با استفاده از ویژگیهای فیزیکی، مکانیکی و شیمیایی توده سنگهای محصول آتشباری با ضریب تعیین (48/92) درصد برای D50 پیش‌بینی گردید. | |
| کلیدواژه‌ها | |
| آتشباری؛ دانه‌بندی؛ سنگ‌آهن؛ معدن چغارت؛ مقاومت فشاری؛ رگرسیون خطی | |
| عنوان مقاله [English] | |
| Investigating the relationship between the chemical, physical, and mechanical properties of the iron blocks of Chagharat Mine, with the D50 value of the comminution resulting from blasting | |
| نویسندگان [English] | |
| Javad Kamali1؛ Hossein Jalalifar2؛ Alireza Yarahmadi Bafghi3 | |
| 1Dept. of Mining Mechanical Engineering, Science and Research Branch, Islamic Azad University of Sirjan, Sirjan-Iran | |
| 2Dept. of Mining Engineering, Shahid Bahonar University of Kerman, Iran | |
| 3Dept. of Metallurgical and Materials Engineering, Yazd University, Yazd, Iran | |
| چکیده [English] | |
| Blasting operation is one of the most important and costly operations in the mining process. Blasting is the beginning of the rock comminution system in the mine. The dimensions of the blasted product will play a significant role in the ability of stone crushing and grinding, for this reason, to produce a product with suitable dimensions, it is first necessary to obtain sufficient knowledge of the physical, mechanical, and chemical conditions of mineral blocks. In this research, by studying 26 iron ore blocks of the Chogharat mine, after the blasting operation, the physical, mechanical, and chemical characteristics of the ore blocks were taken. In the following, after blasting operation, by taking pictures from surface of the exploded block, an image analysis of the dimensions of blasting product was carried out. In the next step, stone samples were taken from the surface of the fired block to conduct geomechanical and chemical tests. After conducting the tests, the relationship between the physical, chemical, and mechanical characteristics of the tested stones with the dimensions of the Blast products (D50) was investigated. The characteristics examined in this study include uniaxial compressive strength, modulus of elasticity, Poisson's ratio, indirect tensile strength, cohesion, internal friction angle, and percentage of silica, iron, and iron oxide in the Blasted block. Finally, using univariate and multivariate linear regression statistical analysis, equations to estimate the dimensions of the product (D50) resulting from the blasting using the physical, mechanical, and chemical characteristics of the rock masses of the explosive product. With coefficients of determination (R2) 92.48% for D50 were predicted... | |
| کلیدواژه‌ها [English] | |
| Blasting, Rock fragmentation, Iron ore, Linear regression, uniaxial compressive strength | |
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| مراجع | |
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[1] S.Mohajerani, S.M.E.Jalali, “Investigating the effect of mechanical factors and geometric characteristics of the sample on pressure wave velosity in travertine stone samples”, Iranian geophysical society journal, 2015, [in persian].
[2] Yarahmadi, A.R Bafghi,” Classification of explosion possibility in iron ore mines of Iran Central Iron company and zoning of Chagharat mine area”, Mining Technologies Research Institute, Yazd University, Iran.2014, [in persian].
[3] Calvin J, Konya Ph.D, Edward J, Walter Ph.D "Rock blasting and overbreak control". US Department of Transportation, Federal Highway Administration, 1991, No. FHWA-HI-92-001, 435.
[4] R.Ostovar, “blasting in mines and rocks”, Academic jihad publications Amirkabir University of technology,Tehran,2001, [in persian]
[5] Hustrulid, W. A “Blasting principles for open pit mining”, Volume1:"General design concept".A.A.Balkema, Rotterdam. 1999.
[6] M.Ataei,S.M.A.Hosseini,“Operations and economic analyzes in open pit mines “,Academic jihad publication, Amirkabir University of technology,Tehran,2011, [in persian].
[7] Kaushik D, Phalgunisen “Concept of Blast ability – An Update”, Indian Mining & Engineering Journal, 2003, 42(8&9): 24-31.
[8] Da Gama D “Use of comminution theory to predict fragmentation of jointed rock masses subjected to blasting”. Proceedings, first international symposium on rock fragmentation by blasting, Lulea, Sweden, 1983, 565 –579.
[9] Kacar G, Ozgenoglu A, Bilgin H.A “Effect of discontinuity orientation and spacing on the blasting performance in some open cast mines of TKI-Turkey”. ISRM 2003–Technology roadmap for rock mechanics, South African Institute of Mining and Metallurgy, 2003, 595-601.
[10] Kilic A.M, Yaar E, Erdoan Y, Ranjith P.G “Influence of rock mass properties on blasting efficiency”. Scientific Research and Essay, 2009, 4(11): 1213-1224.
[11] M.B.Farhadian, “Useful life of building, decorative and facade stones”, Proceedings of the second seminar on building, decorative and facade stones, 1991, [in persian].
[12] Hagan T.N “The effect of rock properties on the design and results of tunnel blasts”. J. Rock Mech. Tunneling Technol. 1995, 1(1): 25-39.
[13] Scott A “Blast ability and blast design, Proc. 5th international symposium on rock fragmentation by blasting”, Montreal, Canada, Colorado School of Mines, Colorado, Balkema, Rotterdam, Netherlands, 1996, 27-36.
[14] Latham J.P, Lu P “Development of an assessment system for the blast ability of rock masses”. Int. J. Rock Mech. Min. Sci. 1999, 36: 41-55.
[15] Mdashtaki, A.R.Yarahmadi Bafghi,A.Emami Meybodi,” Presenting a new classification in order to determine the blasting capability and the amount of fragmentation caused by blasting (BRMR)( A case study of Chagharat mine- Bafaq)”, The 3rd Iran Mining Engineering Conference-Bafgh, 2009, [in persian].
[16] Han J, Weiya X, Shouyi X “Artificial neural network method of rock mass blast ability classification”. In: Proceedings of the fifth international conference on Geo Computation, London, UK, 2000, 23–25.
[17] Kojovic, T, Michaux, S and McKenzie, C. “Impact of blast fragmentation on crushing and screening operation in quarrying”. Proceedings, Explore 95. Brisbane, 427-436. Australasian Institute of Mining and Metallurgy: Melbourne. 1995.
[18] Morrell, S and Valery, W. 2001. Influence of feed size on AG/ SAG mill performance. SAG 2001. Vancouver. 1 204-214. The University of British Columbia: Vancouver.
[19] [Lam, M, Jankovic, A, Valery, W and Kanchibotla, S. Maximizing SAG mill throughput at Porgera gold mine by optimizing blast fragmentation. SAG 2001, Vancouver, 1 271-287. University of British Columbia: Vancouver. 2001.
[20] Scott, A and McKee, D J. “The inter-dependence of mining and beneficiation processes on the performance of mining processes”. Proceedings, Annual Conference, Darwin, 303-307. Australasian Institute of Mining and Metallurgy: Melbourne. 1994.
[21] Sarma Kanchibotla,Valter Valery,S.Morrell :”Modeling fines in blast fragmentation and its impact on crushing and grinding”, A Conference on rock breaking, Kalagoorlie ,melbourne,1999.
[22] Bhandari S "Engineering rock blasting operations". A.A.Balkema, Roterdam, Brookfield, 1997, 375.
[23] A. Pouramini,” Determination of Rock Geomechanical Properties Effects on Autogenous mill Grindability of Iran Central Iron Ore” A Thesis of M.Sc in mining engineering, Yazd university, Iran, 2021, [in persian].
[24] Chary, K.B.S., L. P. Prasanna, K. J., Vijayakumar, N. A., Naga Lakshumi, V. & Rao, M.V.M.S, “Evaluation of Engineering Properties of Rock Using Ultrasonic Pulse Velocity and Uniaxial Compressive Strength”. National Seminar on Non- Destructive Evaluation. 2006: p. 379-385
[25] M. Akbari, G. Lashkaripour, A.R. Yarahmadi Bafghi, M. Ghafoori. “Effect of rock mass properties on blast fragmentation in central Iran iron ore mines” Iranian Society of Engineering Geology, 2014, [in persian].
[26] S.Mohajerani, S.M.E.Jalali, “Investigating the effect of mechanical factors and geometric characteristics of the sample on pressure wave velosity in travertine stone samples”, Iranian geophysical society journal, 2015, [in persian]
[27] M.Hemati, “Geomechanically classification of rock mass using wave velisity (case study: Chagharat mine)” A Thesis of M.Sc in mining engineering, Yazd university, Iran, 2015, [in persian].
[28] M.R.Hemati Noorani, A.R. Yarahmadi Bafghi, A. Ghorbani.” Sensitivity analysis of effect of discontinuities properties on elastic wave propagation, using distinct element method”, Iranian society of mining engineering,2017.
[29] Kulatilake P.H.S.W. Mean particle size prediction in rock blast fragmentation using neural networks, Engineering Geology, 2010,114: 298–311.
[30] G.R.Anaraki,”Granite mining”, Proceedings of the second seminar on building, decorative and facade stones, 1991, [in persian].
[31] ISRM (International Society for Rock Mechanics), Commission on standardization of laboratory and field tests (1978-2), “Suggested methods for determining tensile strength of rock materials”, Int. J. Rock Mech. Min. Sci. & Geo mech. Abstr.1987, 15, 99-103.
[32] ISRM (International Society for Rock Mechanics), Commission on standardization of laboratory and field tests (1979-1), “Suggested methods for determining the uniaxial compressive strength and deformability of rock material”, Int. J. Rock Mech. Min. Sci. & Geo mech. Abstr.,1979, 16(2),135-140.
[33] Chicco.D, Warrens. M, The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evelution, Journal of Jurman Giuseppe, 2021.
[34] Emami Meybodi E, Hussain SK, Fatehi Marji M, Rasouli V. Application of Machine Learning Models for Predicting Rock Fracture Toughness Mode-I and Mode-II. Journal of Mining and Environment. 2022 Apr 1;13(2):465-80.
[35] Emami Meybodi E, DastBaravarde A, Hussain SK, Karimdost S. Machine-learning method applied to provide the best predictive model for rock mass deformability modulus (E m). Environmental Earth Sciences. 2023 Mar;82(6):149.
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