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Advances in Computational Intelligence Applications in the Mining Industry
| Advances in Computational Intelligence Applications in the Mining Industry |
| Autore | Ganguli Rajive |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
truck dispatching
mining equipment uncertainties orebody uncertainty discrete event simulation Q-learning grinding circuits minerals processing random forest decision trees machine learning knowledge discovery variable importance mineral prospectivity mapping random forest algorithm epithermal gold unstructured data blast impact empirical model mining fragmentation mine worker fatigue random forest model health and safety management stockpiles operational data mine-to-mill geostatistics ore control mine optimization digital twin modes of operation geological uncertainty multivariate statistics partial least squares regression oil sands bitumen extraction bitumen processability mine safety and health accidents narratives natural language processing random forest classification hyperspectral imaging multispectral imaging dimensionality reduction neighbourhood component analysis artificial intelligence mining exploitation masonry buildings damage risk analysis Bayesian network Naive Bayes Bayesian Network Structure Learning (BNSL) rock type mining geology bluetooth beacon classification and regression tree gaussian naïve bayes k-nearest neighbors support vector machine transport route transport time underground mine tactical geometallurgy data analytics in mining ball mill throughput measurement while drilling non-additivity coal petrographic analysis macerals image analysis semantic segmentation convolutional neural networks point cloud scaling fragmentation size analysis structure from motion |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613103321 |
Ganguli Rajive
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modelling and Calculation of Raw Material Industry
| Modelling and Calculation of Raw Material Industry |
| Autore | Czajka Krzysztof |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (250 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
acid leaching
battery recycling Li-ion batteries metal recovery raw material sustainable use sieving screen inertial vibrator dual-frequency spectrum FEM simulation biomass ash coal ash sintering mechanical test pressure drop test slagging fouling ion flotation used batteries ecological safety recovery Zn(II) Mn(II) belt conveyor prosumer downhill transport of overburden specific energy consumption recuperation energy recovery rate air quality monitoring SO2 VOC H2S PM10 PM2.5 PM1.0 outdoor air quality air flow aerodynamics street canyon digestate biogas plant hydrothermal carbonisation membrane processes water recovery thermal lag fossil fuels pyrolysis TG thermal analysis power powered roof support hydraulic leg bench testing dynamic load discrete event simulation quarry mine machine cost of production fire-side corrosion boiler tube wastage diagnostics industrial-scale boilers non-destructive inspection pipe inspection wall thickness measurement stone waste waste generation waste recycling industrial waste treatment sustainable manufacturing dimension natural stone processing GHG emissions stable isotopes waste management energy recovery unburned carbon fly ash activated carbon adsorption kinetics statistical regression sustainable mining heating and energy processes raw material sustainable-use fossil fuels energy conversion and storage air pollution emission reduction methods purification and removal techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595078003321 |
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Czajka Krzysztof
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Process Modeling in Pyrometallurgical Engineering
| Process Modeling in Pyrometallurgical Engineering |
| Autore | Saxen Henrik |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (642 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
steelmaking
oxygen consumption GPR prediction model secondary refining water model mixing time slag entrapment stainless steel slag heating time Cr2O3 spinel crystal size processing maps nickel-based alloy flow behavior arrhenius equation hearth drainage PCA analysis tool pattern tapholes blast furnace coke carbon solution loss numerical simulation pellet pile Discrete Element Method porosity distribution angle of repose coordination number bubble motion interfacial phenomena entrainment moving path arsenopyrite arsenic removal mechanism roasting arsenate dust ash arsenic recovery titanium distribution ratio thermodynamic model ion-molecule coexistence theory LF refining slags electric arc furnace simulation process model COREX raceway zone gas flow COREX melter gasifier mixed charging burden layer structure burden pile width DEM burden distribution particle flow validation tire cord steel TiN inclusion solidification segregation models hot rolling TOU electricity pricing hot rolling planning genetic algorithm C-H2 smelting reduction furnace double-row side nozzles dimensional analysis multiple linear regression ironmaking blast furnace coke bed trickle flow molten slag liquid iron SPH charging system mathematical model radar data main trough transient fluid of hot metal and molten slag wall shear stress conjugate heat transfer refractory shape rolling flat rolling wire rod temperature distribution machine learning artificial intelligence neural network BOS reactor copper smelting SKS Shuikoushan process oxygen bottom blown gated recurrent unit support vector data description time sequence prediction fault detection and identification Lignite microwave and ultrasound modification structural characterization 3D molecular model structural simulation coke combustion rate charcoal combustion rate iron ore sintering process biomass quasi-particle quasi-particle structure monomer blended fuel quasi-particle fuel apparent activation energy coupling effect dynamic model basic oxygen furnace computational fluid dynamics CFD-DEM coalescence settling funneling flow horizontal single belt casting process (HSBC) computational fluid dynamics (CFD) double impingement feeding system supersonic coherent jet decarburization steel refining EAF CFD mass transfer coefficient physical modeling mathematical modeling kinetic models natural gas fuel injection combustion RAFT roll design flat-rolled wire strain inhomogeneity normal pressure macroscopic shear bands numerical model dual gas injection slag eye electrical energy consumption Electric Arc Furnace scrap melting statistical modeling raceway evolution raceway size flow pattern Eulerian multiphase flow blast furnace hearth dead man iron and slag flow lining wear hearth drainage Industry 4.0 copper smelter nickel-copper smelter radiometric sensors Peirce-smith converting matte-slag chemistry discrete event simulation adaptive finite differences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557580503321 |
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Saxen Henrik
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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