Relevant bibliographies by topics / Iron ore pelletising plant

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Academic literature on the topic 'Iron ore pelletising plant'

Author: Grafiati
Published: 25 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Iron ore pelletising plant"

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Džupková, Martina, Mária Fröhlichová, Jaroslav Legemza, Róbert Findorák, and Jozef Hudák. "Influence of Biomass Absorptivity on the Process of Sinter Charge Pelletisation." Applied Sciences 10, no. 19 (September 27, 2020): 6780. http://dx.doi.org/10.3390/app10196780.

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Capillary water absorption of materials is a very important factor in the process of pre-treatment of fine-grained materials. Materials that are in a moisturized state capable of forming a firm, compact pellet are, thanks to this particular physical property, suitable for utilisation in sinter charge preparation within the process of sintering iron-ore raw materials. The pelletising ability of coke dust is generally known and coke dust exhibits good pelletisability. From the ecological point of view, an alternative to coke dust is currently biomass, which has a great potential for industrial applications, including use in the agglomeration process. Understanding of how biomass behaves during pre-pelletisation is very important and for the sintering process, it is essential. The purpose of pre-pelletisation of the sinter charge is to achieve its optimal permeability in the sintering process. The experiment described in the article was carried out using wood biomass—oak and pine sawdust, as well as plant biomass—Miscanthus sinensis and Lavandula angustifolia. The evaluation was carried out by applying the capillary water absorption test and the free-fall drop test. As different types of biomass have different chemical compositions, heating capacities, grain morphologies, and chemical and physical properties, the testing was carried out with several types of biomass. The capillary water absorption was examined in terms of different granulometries, and the impact of the type of liquid medium was analysed. It was observed that different types of biomass differ in their ability to absorb liquids. Another finding was that the type of a liquid medium had a significant effect on the pelletising ability of biomass, which was determined by the surface tension and the ability to form liquid bridges between the grains. Research results indicate an excellent pelletising ability of the Miscanthus sinensis grass. The wettability of oak and pine sawdust determines its application in the pelletising process. It may be concluded, based on the research, that Lavandula angustifolia is not a suitable alternative to coke dust due to its low ability to form pellets.
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Fan, X.-H., M. Gan, T. Jiang, X.-L. Chen, and L.-S. Yuan. "Decreasing bentonite dosage during iron ore pelletising." Ironmaking & Steelmaking 38, no. 8 (November 2011): 597–601. http://dx.doi.org/10.1179/1743281211y.0000000029.

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Nilsson, E. A. A., R. Tegman, and M. L. Antti. "Thermal cycling of grate-link material for iron ore pelletising process." Ironmaking & Steelmaking 44, no. 4 (July 26, 2016): 269–80. http://dx.doi.org/10.1080/03019233.2016.1210404.

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Croft, T. N., M. Cross, A. K. Slone, A. J. Williams, C. R. Bennett, P. Blot, M. Bannear, and R. Jones. "CFD analysis of an induration cooler on an iron ore grate-kiln pelletising process." Minerals Engineering 22, no. 9-10 (August 2009): 859–73. http://dx.doi.org/10.1016/j.mineng.2009.03.011.

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Pownceby, M. I., and J. M. F. Clout. "Importance of fine ore chemical composition and high temperature phase relations: applications to iron ore sintering and pelletising." Mineral Processing and Extractive Metallurgy 112, no. 1 (April 2003): 44–51. http://dx.doi.org/10.1179/037195503225011402.

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Garza-Reyes, Jose Arturo, Mustafa Al-Balushi, Jiju Antony, and Vikas Kumar. "A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry." Production Planning & Control 27, no. 13 (May 15, 2016): 1092–111. http://dx.doi.org/10.1080/09537287.2016.1185188.

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Krishna, S. J. G., C. Rudrappa, B. P. Ravi, and M. V. Rudramuniyappa. "Optimization of an Iron Ore Washing Plant." Procedia Earth and Planetary Science 11 (2015): 111–14. http://dx.doi.org/10.1016/j.proeps.2015.06.014.

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Arbeithuber, C., H. P. Jörgl, and H. Raml. "Fuzzy control of an iron ore sintering plant." Control Engineering Practice 3, no. 12 (December 1995): 1669–74. http://dx.doi.org/10.1016/0967-0661(95)00179-x.

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Umadevi, T., A. Brahmacharyulu, P. Karthik, P. C. Mahapatra, M. Prabhu, and M. Ranjan. "Recycling of steel plant mill scale via iron ore sintering plant." Ironmaking & Steelmaking 39, no. 3 (April 2012): 222–27. http://dx.doi.org/10.1179/1743281211y.0000000063.

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Arbeithuber, C., H. P. Jörgl, and H. Aberl. "Fuzzy Control of an Iron Ore Sinter Plant 1." IFAC Proceedings Volumes 27, no. 11 (September 1994): 129–33. http://dx.doi.org/10.1016/s1474-6670(17)47635-x.

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Dissertations / Theses on the topic "Iron ore pelletising plant"

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von, Koch Christian, and William Anzén. "Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177269.

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Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision.  There are many prominent convolutional neural network architectures in the literature, and this thesis explores two: a modified U-Net and the PSPNet. The architectures were combined with three loss functions and three class weighting schemes resulting in 18 model configurations that were evaluated and compared. This thesis also explores transfer learning techniques for neural networks tasked with identifying slag in images from inside a furnace. The benefit of transfer learning is that the network can learn to find features from already labeled data of another context. Finally, the thesis explored how temporal information could be utilised by adding an LSTM layer to a model taking pairs of images as input, instead of one. The results show (1) that the PSPNet outperformed the U-Net for all tested configurations in all relevant metrics, (2) that the model is able to find more complex features while converging quicker by using transfer learning, and (3) that utilising temporal information reduced the variance of the predictions, and that the modified PSPNet using an LSTM layer showed promise in handling images with outlying characteristics.
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Wang, Da. "Accelerated granular matter simulation." Doctoral thesis, Umeå universitet, Institutionen för fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-110164.

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Modeling and simulation of granular matter has important applications in both natural science and industry. One widely used method is the discrete element method (DEM). It can be used for simulating granular matter in the gaseous, liquid as well as solid regime whereas alternative methods are in general applicable to only one. Discrete element analysis of large systems is, however, limited by long computational time. A number of solutions to radically improve the computational efficiency of DEM simulations are developed and analysed. These include treating the material as a nonsmooth dynamical system and methods for reducing the computational effort for solving the complementarity problem that arise from implicit treatment of the contact laws. This allow for large time-step integration and ultimately more and faster simulation studies or analysis of more complex systems. Acceleration methods that can reduce the computational complexity and degrees of freedom have been invented. These solutions are investigated in numerical experiments, validated using experimental data and applied for design exploration of iron ore pelletising systems.

This work has been generously supported by Algoryx Simulation, LKAB (dnr 223-

2442-09), Umeå University and VINNOVA (2014-01901).

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Tom, Phakamile. "Optimization of dense medium cyclone plant for the beneficiation of low grade iron ore with associated high proportion of near-density material at Sishen Iron Ore Mine." Thesis, 2016. http://hdl.handle.net/10539/20042.

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A research report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the Degree of Master of Science in Engineering (Metallurgy and Materials Engineering) July 2015
The research report is premised on three aspects which are critical in the heavy mineral beneficiation. These aspects are classified as (i) understanding the densimetric profile of the available ore body, (ii) understanding the properties of the heavy medium utilised at the plant to beneficiate the ore, and (iii) the automation and modelling of the processing plant in order to maximise plant efficiency. Ore characterisation is mainly focused on understanding the densimetric profile of the ore body, in order to determine the probability of producing a saleable product as well as predicting the expected yields and quality. This is done to utilise the endowment entrusted upon the operating entity by the government and shareholders to treat the mineral resource to its full potential. Understanding of the beneficiation potential of the ore body will assist the mine planning and processing plant to optimise the product tons and quality. This will ensure the marketing plans are in accordance with the expected product as beneficiation will vary depending on the mining block reserves. The mining blocks have potential to produce varying product grades with different recoveries. Ore characterisation was conducted on the GR80 mining block, low-grade stockpiles (i.e. C-grade ore reserves & Jig discard and dense medium separation (DMS) run-of-mine (ROM) material. The GR80 material was characterised as having low proportion of near-density material and would be easy to beneficiate as well as produce high volumes of high grade product. Furthermore, it was revealed that the 2014 DMS ROM had an increased proportion of low-density material; however this material was also had low proportion of near-density material. The low-grade stockpiles was characterised by high proportion of near density material, which necessitate the beneficiation process to operate at high density in excess of 3.8 t/m3. Maintaining a higher operating density requires more dense medium which leads to viscosity problems and impact performance. The characterisation of the FeSi medium was imperative to understand its behaviour and potential influence on beneficiation of low-grade stockpiles and mining blocks with elevated proportion of near-density material. As the proportion of near-density waste material increases in the run-of-mine (ROM), it is necessary to beneficiate the material at elevated operating medium densities. However, when cyclones are operated at high densities, the negative influence of the medium viscosity becomes more apparent and thus influences the separation efficiency. Heavy medium, ferrosilicon (FeSi) characterisation looked at identifying the effects of viscosity on the FeSi stability and whether there would be a need for a viscosity modifier. Thus, the importance of controlling the stability, viscosity, and density of the medium cannot be under-estimated and can very often override the improvements attainable through better designs of cyclones. Furthermore, the slurry mixture of the heavy medium utilised for the purpose of dense medium separation should be non-detrimental to the effectiveness of separation in the DMS Fine cyclone plant. Medium characterisation showed that removal of ultra-fines leads to unstable media as indicated by faster settling rates. This would result in medium segregation in the beneficiation cyclone thereby leading to unacceptable high density differential which will negatively impact the cut-point shift and cause high yield losses to waste. The overall control of the metallurgical processes at Sishen’s Cyclone Plant is still done on manually and thus operation still varies from person-to-person and/or from shift-to-shift. This result in some of the process data and trends not being available online as well as being captured inaccurately. Furthermore, this negatively affects the traceability and reproducibility of the production metallurgical key performance indicators (KPI’s) as well as process stability and efficiency. It has been demonstrated that real-time online measurements are crucial to maintaining processing plant stability and efficiency thereby ensuring that the final product grade and its value is not eroded. Modelling and automation of the key metallurgical parameters for the cyclone plant circuit was achieved by installation of appropriate instrumentation and interlocking to the programmable logic control (PLC). This allowed for the control of the correct medium sump level, cyclone inlet pressure, medium-to-ore ratio as well as online monitoring of density differential as “proxy” for medium rheological characteristics. The benefit of modelling and simulation allows the virtual investigation and optimisation of the processing plant efficiency as well as analysis of the impact of varying ore characteristics, throughput variations and changing operating parameters. Therefore it is imperative that all cyclone operating modules are operated at the same efficiency which can be achieved by optimized process through proper automation and monitoring, thereby improving the total plant profitability. Keywords: dense medium separation; densimetric profile; dynamic modelling; FeSi rheology; iron-ore beneficiation; process automation; process control.
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Yu-ChengChen and 陳裕政. "Techniques for the Control of the Process Emissions of PCDD/Fs and PAHs and the Identification of Main Exposure Sources for Workers in an Iron Ore Sintering Plant." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/29815097367220131558.

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博士
國立成功大學
環境醫學研究所
98
Emissions of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) and polycyclic aromatic hydrocarbons (PAHs) from iron ore sintering processes and their exposures to workers are an important environmental health issue. This is a two-part study. In the first part, we conducted exposure assessment for workers based on the indicatory pattern of PCDD/F concentrations in blood to identify the main pollutant sources for initiating emission control purpose. In the second part, we developed a direct control method for reducing PCDD/F and PAH emissions from sintering process. For the first part of the study, we measured blood PCDD/F concentrations of sinter plant workers and residents living near the sinter plant. Then, the indicatory pattern of blood PCDD/F concentrations found for residents were compared with those for sinter plant workers to identify workplace-related exposures to PCDD/Fs for each selected worker. We then monitored PCDD/F concentrations in four different sinter plant workplaces and three different ambient environments that served as the background. By comparing the patterns of airborne PCDD/Fs found in ambient environments with those for sinter plant workplaces, exposure-related airborne indicatory PCDD/Fs for each workplace were obtained. Finally, by matching exposure-related blood indicatory PCDD/Fs with exposure-related airborne indicatory PCDD/Fs, all suspected pollutant sources were identified for each selected worker. By matching exposure-related blood indicatory PCDD/Fs with exposure-related airborne indicatory PCDD/Fs, two to three suspected pollutant sources were identified for each selected worker. The developed integrated approach can identify all suspected pollutant sources effectively for selected workers based on their blood concentrations of PCDD/Fs. The identified pollutant sources are theoretically plausible since they can be verified by examining workers’ time/activity patterns, their status in using dust respirators, and the concentrations of PCDD/Fs found in the selected workplace atmospheres. The developed technique can be used to identify possible pollutant sources not only for workers but also for many other exposure groups associated with various emission sources and exposure routes in the future. For the second part of the study, we tried to reduce PCDD/F and PAH emissions separately from the iron ore sintering process by optimizing its operation parameters using the Taguchi experimental design. Four operating parameters, including the water content (Wc; range = 6.0?7.0 wt%), suction pressure (Ps; range = 1000?1400 mmH2O), bed height (Hb; range = 500?600 mm) and type of hearth layer (HL; including sinter, hematite, and limonite) were selected. The experiments were conducted using a pilot-scale sinter pot to simulate various sintering operating conditions of a real-scale sinter plant. If we only considered the abatement of PCDD/F emissions, we found that the resultant optimal combination (Wc = 6.5 wt%, Hb = 500 mm, Ps = 1000 mmH2O, and HL = hematite) can decrease the emission factor of total I-TEQ (total EFPCDD/Fs) by 62.8% in comparison with the current operating condition of the real-scale sinter plant (Wc = 6.5 wt%, Hb = 550 mm, Ps = 1200 mmH2O, and HL = sinter). Through analysis of variance (ANOVA), Wc was found to be the most significant parameter in determining total EFPCDD/Fs (accounting for 74.7% of the total contribution of the four selected parameters). If we only considered PAH emissions control, the emission factor of total BaP equivalent concentration (EFBaPeq) from the reference combination to the optimal combination (Wc = 6.5 wt%, Hb = 600 mm, Ps = 1400 mmH2O, and HL = limonite) was decreased by 57.6%. Ps and Hb were the top two parameters affecting total EFBaPeq (accounting respectively for 70.9% and 21.2% of the total contribution of the four selected parameters). In addition to reduce PCDD/F and PAH emissions, their corresponding sinter output benefit (sinter productivity (SP) and sinter strength (SS)) of sintering process has also been evaluated. Both the SP and SS for their optimal operation combinations were also obtained. By only considering the enhancement of SP, the resultant optimal operation combination (i.e., Wc = 7.0 wt%, Ps = 1400 mmH2O, Hb = 500 mm, and HL = hematite) can increase by 20.2%. Wc and Ps were significant factors for increasing SP in the sintering process, by accounting for 50.3% and 36.7% of the total contribution of the selected parameters, respectively. If we only took SS into account, the increased SS from reference combination to optimal combination (i.e., Wc = 6.5 wt%, Ps = 1200 mmH2O, Hb = 600 mm, and HL = hematite) was 2.2%. There are no significant operational parameters affecting SS. Finally, we considered both the risk associated with PCDD/F and PAH emissions and the corresponding output benefit of sintering process in a risk-benefit analysis. The converted inputs (risk-benefit ratio; RBR) were estimated for determining the optimal operation combination based on the results obtained from the Taguchi experimental design. The decrease of the RBR from the reference combination to the optimal combination (Wc = 6.5 wt%, Hb = 600 mm, Ps = 1400 mmH2O, and HL = hematite) was 68.6%. The estimated lung cancer risk decreased 49.8% (total EFPCDD/Fs and EFBaPeq also decreased by 55.8% and 58.6%, respectively) and the corresponding output benefit of sintering process increased 10.1% (SP and SS also increased by 10.2% and 1.5%, respectively). Ps was a significant parameter (p = 0.012) accounting for 48.6% of the total contribution of the four selected parameters. The optimal operation combination further can be applicable to the real-scale sinter plant for reducing environmental impacts and worker exposures as well as increasing sinter benefits.
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Books on the topic "Iron ore pelletising plant"

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Hu, J. Q. Simulation of an iron ore sinter plant. Sheffield: University of Sheffield, Dept. of AutomaticControl and Systems Engineering, 1993.

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Book chapters on the topic "Iron ore pelletising plant"

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ARBEITHUBER, C., H. P. JÖRGL, and H. ABERL. "FUZZY CONTROL OF AN IRON ORE SINTER PLANT." In New Trends in Design of Control Systems 1994, 129–33. Elsevier, 1995. http://dx.doi.org/10.1016/b978-0-08-042367-8.50027-6.

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Cecala, A. "Lowering respirable dust at an iron ore concentrator plant through improved ventilation practices." In 11th US/North American Mine Ventilation Symposium 2006, 189–96. Taylor & Francis, 2006. http://dx.doi.org/10.1201/9781439833391.ch28.

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Conference papers on the topic "Iron ore pelletising plant"

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Jin, Wang. "Application of automatic proportioning system in the iron ore pelletizing plant." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561442.

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Ludivine, Piezanowski, Nouaille-Degorce Gilles, Hutsebaut Sven, Lumen Wouter, Van de Velde Frederik, Douce Jean-François, and Van Loo Frédérique. "VERTICAL INTENSIVE MIXING FOR PROCESSING FINER IRON ORE IN SINTER PLANT." In 44º Seminário de Redução de Minério de Ferro e Matérias-primas, 15º Simpósio Brasileiro de Minério de Ferro e 2º Simpósio Brasileiro de Aglomeração de Minério de Ferro. São Paulo: Editora Blucher, 2014. http://dx.doi.org/10.5151/2594-357x-25342.

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Payab, Hassan, and Fatemah Mahnaz Mohsenzadeh. "Pelletizing Pilot Plant Simulation and Energy Saving with Iron Ore Pellets Contain Solid Fuel and reducing the Air Pollution." In Annual International Conference on Sustainable Energy and Environmental Sciences. Global Science and Technology Forum (GSTF), 2012. http://dx.doi.org/10.5176/2251-189x_sees71.

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Guimarães, Claudinei Roberto, Leonardo Godefroid, Luiz Cláudio Cândido, and Sidney Araújo. "EVALUATION OF THE MECHANICAL BEHAVIOR OF STEELS USED IN THE SLIDE RING OF A BALL MILL OF AN IRON ORE MINING PLANT." In 25th International Congress of Mechanical Engineering. ABCM, 2019. http://dx.doi.org/10.26678/abcm.cobem2019.cob2019-0155.

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Shurniak, Robert, Michael O’Kane, and Rosalind Green. "Simulation of seven years of field performance monitoring at Rio Tinto Iron Ore, Mount Tom Price Mine using soil-plant-atmosphere numerical modelling." In Seventh International Conference on Mine Closure. Australian Centre for Geomechanics, Perth, 2012. http://dx.doi.org/10.36487/acg_rep/1208_35_shurniak.

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Dicampli, James, Luis Madrigal, Patrick Pastecki, and Joe Schornick. "Aeroderivative Power Generation With Coke Oven Gas." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89601.

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A major environmental concern associated with integrated steel mills is the pollution produced in the manufacture of coke, an essential intermediate product in the reduction of iron ore in a blast furnace. Coke is produced by driving off the volatile constituents of the coal—including water, coke oven gas, and coal-tar—by baking the coal in an airless furnace at temperatures as high as 2,000 degrees Celsius. This fuses together the fixed carbon and residual ash. The coke oven gas (COG) byproduct, a combustible hydrogen and hydrocarbon gas mix, may be flared, recycled to heat the coal, or cleaned to be used as a fuel source to generate energy or used to produce methanol. There are several inherent problems with COG as a fuel for power generation, notably contaminants that would not be found in pipeline natural gas or distillate fuels. Tar, a by-product of burning coal, is plentiful in COG and can be detrimental to gas turbine hot gas path components. Particulates, in the form of dust particles, are another nuisance contaminant that can shorten the life of the gas turbine’s hot section via erosion and plugging of internal cooling holes. China, the world’s largest steel producing country, has approximately 1,000 coke plants producing 200MT/year of COG. GE Energy has entered into the low British thermal unit (BTU) gases segment in China with an order from Henan Liyuan Coking Co., Ltd. The gas turbines will burn 100% coke oven gas, which will help the Liyuan Coking Plant reduce emissions and convert low BTU gas to power efficiently. This paper will detail the technical challenges and solutions for utilization of COG in an aeroderivative gas turbine, including operational experience. Additionally, it will evaluate the economic returns of gas turbine compared to steam turbine power generation or methanol production.
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Reports on the topic "Iron ore pelletising plant"

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Lee, S. W. Preliminary investigation of sludge samples from fuel delivery system of the process plant at the iron ore company of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/304594.

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