efficient small rock crushing production line sell at a loss in sao paulo

metallurgist & mineral processing engineer

metallurgist & mineral processing engineer

For its extensive practical experience, 911 Metallurgisthas a clear understanding of what successful mineral processing engineering is and how to go about achieving it. Your goal is the production of a material that is marketable and returns you and your investors sustainable revenues.

Although improvements to the metallurgical processes have been made over the years the fact is that the unit operations, the machines, those too often called black boxes involved have not evolved or changed much since inception. Ore is reduced in size, chemicals are added and minerals separated and upgraded to produce a marketable product. Much of this process is mechanical and generally mistaken for some dark alchemy.We are the Anti-Alchemists.

Our vast experience has been gained through operation and start-up of both small and large scale mining/metallurgical operations in a range of commodities in thebase metals (Cu, Pb, Zn) and theprecious metals (Au, Ag,)

A solid metallurgist understands, the most important aspect of an operating process is its stability. Simple to say, but generally the most ignored in mineral processing. Linked unit operations require each to be stable, and each contains a different set of variables that have to be contended with. Thanks to some degree of stability: operating changes can be made and evaluated; increases in throughput can be made; and equipment performance improved. The more complicated the processes become, the more difficult it is to achieve and maintain stability. In mineral processing, unlike most processing operations, we have limited control of the main input, the feed ore. In most cases this inherently is variable and usually outside of the processors control.

Because you are too close to your own story, you might not see the forest for the trees and have chaos mistaken for stability. We, you, and your group have been battling plant problems for weeks, you start to accept chaos as a daily state of affair and consider it your new stability.

Each mineral processing plant is different: with varied ore types, mining equipment, and management (operating) philosophy. The evaluation and prioritisation of variables that affect the plant performance is the primary function. Implementing changes within the constraints imposed can be difficult, as resources may be limited.

Invariably the ability to solve problems can be confusing due the large numbers of variables that may impact the processes. In most cases problems are not metallurgical in nature but rather operational and mechanical. Problem solving is a process and in many operations this ability is absent. All too often many changes are made together without a solution resulting, on more confusion. Most plants learn to live or survive their problems, not to solve them.

Our engineering team has a global experience in the mining industry across all facets of the mine life-cycle. Our focus is to add value to your project and company by understanding your needs, employing innovative ideas and applying sound engineering while maintaining an economically driven approach. We have a combination of senior level professionals, experienced project managers, and technical staff to execute projects efficiently. We work in a partnership with our clients to achieve their company goals and operational milestones in a timely and cost effective manner.

full-scale linear cutting test in chongqing sandstone and the comparison with field tbm excavation performance | springerlink

full-scale linear cutting test in chongqing sandstone and the comparison with field tbm excavation performance | springerlink

In this study, determination of some machine parameters and performance prediction for tunnel boring machine (TBM) are conducted based on laboratory rock cutting test. Firstly, laboratory full-scale linear cutting test is carried out using 432-mm CCS (constant cross section) disc cutter in Chongqing Sandstone. Then, the input parameters for TBM cutterhead design are extracted; some TBM specifications are determined and then compared to the manufactured values. Finally, laboratory full-scale linear cutting test results are compared with the field TBM excavation performance data collected in Chongqing Yangtze River Tunnel. Results show that laboratory full-scale linear cutting test results, combined with some engineering considerations, can be used for the preliminary and rough design of TBM machine capacity. Meanwhile, combined with some modification factors, it can also well predict the field TBM excavation performance.

Balci C (2009) Correlation of rock cutting tests with field performance of a TBM in a highly fractured rock formation: a case study in Kozyatagi-Kadikoy metro tunnel, Turkey. Tunn Undergr Space Technol 24(4):423435. https://doi.org/10.1016/j.tust.2008.12.001

Balci C, Tumac D (2012) Investigation into the effects of different rocks on rock cuttability by a V-type disc cutter. Tunn Undergr Space Technol 30(4):183193. https://doi.org/10.1016/j.tust.2012.02.018

Bilgin N, Copur H, Balci C, Tumac D, Akgul M, Yuksel A (2008) The selection of a TBM using full scale laboratory tests and comparison of measured and predicted performance values in Istanbul Kozyatagi-Kadikoy metro tunnels. In: World tunnel congress 2008-underground facilities for better environment and safety, India

Cardu M, Iabichino G, Oreste P, Rispoli A (2017) Experimental and analytical studies of the parameters influencing the action of TBM disc tools in tunnelling. Acta Geotech 12(2):293304. https://doi.org/10.1007/s11440-016-0453-9

Cho JW, Jeon S, Yu SH, Chang SH (2010) Optimum spacing of TBM disc cutters: a numerical simulation using the three-dimensional dynamic fracturing method. Tunn Undergr Space Technol 25(3):230244. https://doi.org/10.1016/j.tust.2009.11.007

Cho JW, Jeon S, Jeong HY, Chang SH (2013) Evaluation of cutting efficiency during TBM disc cutter excavation within a Korean granitic rock using linear-cutting-machine testing and photogrammetric measurement. Tunn Undergr Space Technol 35(4):3754. https://doi.org/10.1016/j.tust.2012.08.006

Choi SW, Chang SH, Park YT, Lee GP, Bae GJ (2014) Comparative analysis of cutter acting forces and axial stresses of single and double disc cutters by linear cutting tests. J Korean Tunn Undergr Space Assoc 16(2):181191. https://doi.org/10.9711/KTAJ.2014.16.2.181 (in Korean)

Copur H, Aydin H, Bilgin N, Balci C, Tumac D, Dayanc C (2014) Predicting performance of EPB TBMs by using a stochastic model implemented into a deterministic model. Tunn Undergr Space Technol 42(3):114. https://doi.org/10.1016/j.tust.2014.01.006

Fukui K, Okubo S (2006) Some attempts for estimating rock strength and rock mass classification from cutting force and investigation of optimum operation of tunnel boring machines. Rock Mech Rock Eng 39(1):2544. https://doi.org/10.1007/s00603-005-0071-6

Geng Q, Wei ZY, Meng H, Chen Q (2016) Numerical and experimental research on the rock-breaking process of tunnel boring machine normal disc cutters. J Mech Sci Technol 30(4):17331745. https://doi.org/10.1007/s12206-016-0329-9

Gertsch R, Gertsch L, Rostami J (2007) Disc cutting tests in Colorado Red Granite: implications for TBM performance prediction. Int J Rock Mech Min Sci 44(2):238246. https://doi.org/10.1016/j.ijrmms.2006.07.007

Gong QM, Zhao J, Jiao YY (2005) Numerical modeling of the effects of joint orientation on rock fragmentation by TBM cutters. Tunn Undergr Space Technol 20:183191. https://doi.org/10.1016/j.tust.2004.08.006

Gong QM, Jiao YY, Zhao J (2006) Numerical modelling of the effects of joint spacing on rock fragmentation by TBM cutters. Tunn Undergr Space Technol 21:4655. https://doi.org/10.1016/j.tust.2005.06.004

Gong QM, Zhao J, Jiang YS (2007) In situ TBM penetration tests and rock mass boreability analysis in hard rock tunnels. Tunn Undergr Space Technol 22(3):303316. https://doi.org/10.1016/j.tust.2006.07.003

Gong QM, He GW, Zhao XB, Ma HS, Li XZ, Zhang H, Miao CT (2015) Influence of different cutter spacings on rock fragmentation efficiency of Beishan granite by TBM. Chin J Geotech Eng 37(1):5460 (in Chinese)

Gong QM, He GW, Zhao XB, Zhang H, Miao CT, Yao XH, Li XZ (2016) Influence of penetration on the rock-breakage efficiency of a TBM cutter. Mod Tunn Technol 53(1):6268. https://doi.org/10.13807/j.cnki.mtt.2016.01.010 (in Chinese)

Liu QS, Liu JP, Pan YC, Kong XX, Cui XZ, Huang SB, Wei L (2016) Research advances of tunnel boring machine performance prediction models for hard rock. Chin J Rock Mech Eng 35(S1):27662786. https://doi.org/10.13722/j.cnki.jrme.2014.1601 (in Chinese)

Liu QS, Pan YC, Liu JP, Kong XX, Shi K (2016) Comparison and discussion on fragmentation behavior of soft rock in multi-indentation tests by a single TBM disc cutter. Tunn Undergr Space Technol 57:151161. https://doi.org/10.1016/j.tust.2016.02.021

Liu QS, Pan YC, Kong XX, Liu JP, Shi K, Cui XZ, Huang SB (2016) Experimental investigation on mudstone fragmentation characteristics in indentation process by TBM disc cutter. Rock Soil Mech 37(S1):166174. https://doi.org/10.16285/j.rsm.2016.S1.022 (in Chinese)

Liu QS, Pan YC, Liu JP, Kong XX, Shi K, Liu Q (2016) Analysis on fragmentation behavior of rocks in indentation tests by disc cutter. Chin J Rock Mech Eng 35(S2):35163525. https://doi.org/10.13722/j.cnki.jrme.2015.0532 (in Chinese)

Ma HS, Yin LJ, Ji HG (2011) Numerical study of the effect of confining stress on rock fragmentation by TBM cutters. Int J Rock Mech Min Sci 48(6):10211033. https://doi.org/10.1016/j.ijrmms.2011.05.002

Ma HS, Gong QM, Wang J, Yin LJ, Zhao XB (2016) Study on the influence of confining stress on TBM performance in granite rock by linear cutting test. Tunn Undergr Space Technol 57:145150. https://doi.org/10.1016/j.tust.2016.02.020

Ma HS, Gong QM, Wang J, Zhao XB, Yin LJ, Miao CT, He GW (2016) Linear cutting tests on effect of confining stress on rock fragmentation by TBM cutter. Chin J Rock Mech Eng 35(2):346355. https://doi.org/10.13722/j.cnki.jrme.2014.0926 (in Chinese)

Ramezanzadeh A, Rostami J, Kastner R (2003) Performance prediction models for hard rock tunnel boring machines. http://iransaze.com/files-for-download/maghale/mohandesi%20tonel/konferans-mohandesi-tonel/Performance%20Prediction%20Models%20for%20Hard%20Rock%20Tunnel%20Boring%20Machines.pdf. Accessed 1 Aug 2017

Rostami J (1991) Design optimization, performance predictions, and economic analysis of TBM application in the proposed Yucca mountain nuclear waste repository. MS thesis 4139, Colorado School of Mines, Golden, USA

Rostami J, Ozdemir L (1993) A new model for performance prediction of hard rock TBMs. In: Proceedings of rapid excavation and tunneling conference. USA, pp 794809. http://emi.mines.edu/UserFiles/File/earthMechanics/disc_cutters/disc_cutter1.PDF. Accessed 1 Aug 2017

Rostami J, Ozdemir L, Nilson B (1996) Comparison between CSM and NTH hard rock TBM performance prediction models. http://emi.mines.edu/UserFiles/File/earthMechanics/seminar/08_01_machine_performance_assessment_and_costing.pdf?textonly=1. Accessed 1 Aug 2017

Rostami J (2013) Study of pressure distribution within the crushed zone in the contact area between rock and disc cutters. Int J Rock Mech Min Sci 57(1):172186. https://doi.org/10.1016/j.ijrmms.2012.07.031

Tumac D, Balci C (2015) Investigations into the cutting characteristics of CCS type disc cutters and the comparison between experimental, theoretical and empirical force estimations. Tunn Undergr Space Technol 45:8498. https://doi.org/10.1016/j.tust.2014.09.009

Yin LJ, Gong QM, Zhao J (2014) Study on rock mass boreability by TBM penetration test under different in situ stress conditions. Tunn Undergr Space Technol 43(7):413425. https://doi.org/10.1016/j.tust.2014.06.002

Yin LJ, Miao CT, He GW, Dai FC, Gong QM (2016) Study on the influence of joint spacing on rock fragmentation under TBM cutter by linear cutting test. Tunn Undergr Space Technol 57:137144. https://doi.org/10.1016/j.tust.2016.02.018

This work was financially supported by National Key Basic Research Program of China under Grant Nos. 2015CB058102 and 2014CB046904, China Postdoctoral Science Foundation Program under Grant No. 2017M622515, National Natural Science Foundation of China under Grant Nos. 41602326 and 41702254 and National Funded Program for Graduate Students Studying Abroad of China Scholarship Council under Grant No. 201506270068. The authors are grateful for their continuous support and also grateful to the authors colleagues for their valuable help in organizing and improving this article, especially to Mr. Shuai Ma in Beijing University of Technology. Prof. Qiuming Gongs postgraduates in Beijing University of Technology are sincerely acknowledged for helping authors prepare the rock samples and conduct the linear cutting tests.

Pan, Y., Liu, Q., Kong, X. et al. Full-scale linear cutting test in Chongqing Sandstone and the comparison with field TBM excavation performance. Acta Geotech. 14, 12491268 (2019). https://doi.org/10.1007/s11440-018-0702-1

global energy consumption due to friction and wear in the mining industry - sciencedirect

global energy consumption due to friction and wear in the mining industry - sciencedirect

Friction and wear impact on energy, costs and emission was calculated for mining.40% of energy (= 4.6EJ) used in mining goes to overcome friction.2EJ energy is annually used to remanufacture worn out parts in mining.New tribology can save 31,100M, 280TWh energy, 145Mt CO2 emission annually.

Calculations on the global energy consumption due to friction and wear in the mineral mining industry are presented. For the first time, the impact of wear is also included in more detailed calculations in order to show its enormous tribological and economic impacts on this industry. A large variety of mining equipment used for the extraction, haulage and beneficiation of underground mining, surface mining and mineral processing were analysed. Coefficients of friction and wear rates of moving mechanical assemblies were estimated based on available information in literature in four general cases: (1) a global average mine in use today, (2) a mine with today's best commercial technology, (3) a mine with today's most advanced technology based upon the adaptation of the latest R&D achievements, and (4) a mine with best futuristic technology forecasted in the next 10 years. The following conclusions were reached:

Total energy consumption of global mining activities, including both mineral and rock mining, is estimated to be 6.2% of the total global energy consumption. About 40% of the consumed energy in mineral mining (equalling to 4.6EJ annually on global scale) is used for overcoming friction. In addition, 2EJ is used to remanufacture and replace worn out parts and reserve and stock up spare parts and equipment needed due to wear failures. The largest energy consuming mining actions are grinding (32%), haulage (24%), ventilation (9%) and digging (8%).

The total estimated economic losses resulting from friction and wear in mineral mining are in total 210,000 million Euros annually distributed as 40% for overcoming friction, 27% for production of replacement parts and spare equipment, 26% for maintenance work, and 7% for lost production.

By taking advantage of new technology for friction reduction and wear protection in mineral mining equipment, friction and wear losses could potentially be reduced by 15% in the short term (10 years) and by 30% in the long term (20 years). In the short term this would annually equal worldwide savings of 31,100 million euros, 280TWh energy consumption and a CO2 emission reduction of 145 million tonnes. In the long term, the annual benefit would be 62,200 million euros, 550TWh less energy consumption, and a CO2 emission reduction of 290 million tonnes.

Potential new remedies to reduce friction and wear in mining include the development and uses of new materials, especially materials with improved strength and hardness properties, more effective surface treatments, high-performance surface coatings, new lubricants and lubricant additives, and new designs of moving parts and surfaces of e.g. liners, blades, plates, shields, shovels, jaws, chambers, tires, seals, bearings, gearboxes, engines, conveyor belts, pumps, fans, hoppers and feeders.

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