nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Mathematical Model of a Horizontal Direct-Fired Strip Annealing Furnace
|
Maislinger, F. |
|
2016 |
49 |
20 |
p. 202-207 6 p. |
artikel |
2 |
A Modular Dynamic Simulation Model for Comminution Circuits * * The authors acknowledge financial support from BBA inc., NSERC, FQRNT, and the implication of the industrial partner’s metallurgical team.
|
Légaré, B. |
|
2016 |
49 |
20 |
p. 19-24 6 p. |
artikel |
3 |
An Efficient Simulation Method for Current and Power distribution in 3-Phase Electrical Smelting Furnaces * * This paper is published as part of the project Electrical Conditions and their Process Interactions in High Temperature Metallurgical Reactors (ElMet), with financial support from The Research Council of Norway and the companies Alcoa, Elkem and Eramet.
|
Halvorsen, S.A. |
|
2016 |
49 |
20 |
p. 167-172 6 p. |
artikel |
4 |
An Udwadia-Kalaba Equation based active seat suspension controller for mining dump trucks
|
Ekoru, J.E.D. |
|
2016 |
49 |
20 |
p. 184-189 6 p. |
artikel |
5 |
Applying StarCS RNMPC with Real-Time Optimiser to Pilanesberg Platinum Mines Primary UG2 Milling Circuit
|
Coetzee, L.C. |
|
2016 |
49 |
20 |
p. 78-83 6 p. |
artikel |
6 |
Big Data Solution for Quality Monitoring and Improvement on Flat Steel Production * * The research leading to these results has received funding from the European Community’s Research Fund for Coal and Steel (RFCS) under grant agreement n° RFSR-CT-2012-00040.
|
Brandenburger, Jens |
|
2016 |
49 |
20 |
p. 55-60 6 p. |
artikel |
7 |
Combustion processes inside a direct-fired continuous strip annealing furnace
|
Strommer, Stephan |
|
2016 |
49 |
20 |
p. 208-213 6 p. |
artikel |
8 |
Construction of the electromagnetic mill with the grinding system, classification of crushed minerals and the control system
|
Wołosiewicz-Głąb, Marta |
|
2016 |
49 |
20 |
p. 67-71 5 p. |
artikel |
9 |
Contents
|
|
|
2016 |
49 |
20 |
p. i-vi nvt p. |
artikel |
10 |
Control strategy for hydrometallurgical removal process based on modelling and evaluation
|
Zhang, Bin |
|
2016 |
49 |
20 |
p. 161-166 6 p. |
artikel |
11 |
Curvature control in radial-axial ring rolling * * This work was funded by the Engineering and Physical Sciences Research Council (EPSRC) UK.
|
Arthington, Matthew R. |
|
2016 |
49 |
20 |
p. 244-249 6 p. |
artikel |
12 |
Development of automatic rolling scheduling system for synchronized operation of casting and hot rolling
|
Shikimori, Takashi |
|
2016 |
49 |
20 |
p. 250-255 6 p. |
artikel |
13 |
Dynamical Model of Axially Moving Steel Strips * * Financial support by the Austrian Federal Ministry of Science, Research and Economy and the National Foundation for Research, Technology and Development, and voestalpine Stahl GmbH is gratefully acknowledged.
|
Saxinger, M. |
|
2016 |
49 |
20 |
p. 190-195 6 p. |
artikel |
14 |
Dynamic Modeling of Gross Errors via Probabilistic Slow Feature Analysis Applied to a Mining Slurry Preparation Process * * This work was supported by National Natural Science Foundation of China (21276137), National Science Engineering Research Council of Canada (NSERC) and AITF. The first author is also supported by China Scholarship Council (CSC).
|
Shang, Chao |
|
2016 |
49 |
20 |
p. 25-30 6 p. |
artikel |
15 |
Dynamic modelling of a multiple hearth furnace for kaolin calcination with a sensitivity analysis with respect to reaction rates * * The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2013-2016) under Grant Agreement No. 310645.
|
Eskelinen, Aleksi |
|
2016 |
49 |
20 |
p. 196-201 6 p. |
artikel |
16 |
Dynamic reallocation and rescheduling of steel products using agents with strategical anticipation and virtual marketstructures
|
Neuer, Marcus J. |
|
2016 |
49 |
20 |
p. 232-237 6 p. |
artikel |
17 |
Entropy-based estimation of bubble size distributions in froth flotation using B-spline functions * * This work was supported by the National Natural Science Foundation of China (Grant No. 61490702 and No. 61503416), the Innovation-driven Plan in Central South University (Grant No. 2015cx007) and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 61321003).
|
Han, Jie |
|
2016 |
49 |
20 |
p. 96-101 6 p. |
artikel |
18 |
Explicit Model Predictive Controller Design for Thickness and Tension Control in a Cold Rolling Mill
|
Ogasahara, Tomoyoshi |
|
2016 |
49 |
20 |
p. 126-131 6 p. |
artikel |
19 |
Features Extraction of Flotation Froth Based on Equivalent Binocular Stereo vision * * This work is supported by the National Nature Science Foundation of China under Grant 61273169, the Key Program of National Nature Science Foundation of China under Grant 61134006, Doctoral Tutor Classes Funded Project of Specialized Research Fund for the Doctoral Program of Higher Education (20120162110076).
|
Zhao, Lin |
|
2016 |
49 |
20 |
p. 90-95 6 p. |
artikel |
20 |
Flotation Froth Image Analysis by Use of a Dynamic Feature Extraction Algorithm
|
Fu, Yihao |
|
2016 |
49 |
20 |
p. 84-89 6 p. |
artikel |
21 |
Functional Safety and Mean Time to Fail for Underground Mining Proximity Detection Device in No-Go-Zones
|
Sifferlinger, N. |
|
2016 |
49 |
20 |
p. 31-36 6 p. |
artikel |
22 |
Intelligent control station for improved quality management in flat steel production * * The research leading to these results has received funding from the European Community’s Research Fund for Coal and Steel (RFCS) under Grant Agreement No. RFS-CT-2012-00037.
|
Colla, V. |
|
2016 |
49 |
20 |
p. 226-231 6 p. |
artikel |
23 |
Mining Sensor Data in Larger Physical Systems
|
O’Leary, Paul |
|
2016 |
49 |
20 |
p. 37-42 6 p. |
artikel |
24 |
Model predictive control of a coal dense medium drum separator * * Special thanks to Exxaro Resources for making time available to conduct the necessary research for this paper.
|
Meyer, Ewald J. |
|
2016 |
49 |
20 |
p. 114-119 6 p. |
artikel |
25 |
Multi-Layer Encoding Genetic Algorithm-Based Granular Fuzzy Inference for Blast Furnace Gas Scheduling * * This work is supported by the National Natural Sciences Foundation of China (No. 61473056, 61533005, 61522304, U1560102), National Sci-Tech Support Plan (No. 2015BAF22B01), Fundamental Research Funds for the Central Universities (DUT15YQ113) and China Postdoctoral Science Foundation (2015M581335).
|
Wang, Tianyu |
|
2016 |
49 |
20 |
p. 132-137 6 p. |
artikel |
26 |
Nonlinear Model Predictive Control of the Czochralski Process * * Supported by Prediktor AS and the Research Council of Norway.
|
Rahmanpour, Parsa |
|
2016 |
49 |
20 |
p. 120-125 6 p. |
artikel |
27 |
Nonlinear observability of grinding mill conditions
|
le Roux, J.D. |
|
2016 |
49 |
20 |
p. 13-18 6 p. |
artikel |
28 |
Online estimation of impurity ion concentration in solution purification process * * This research was support by Innovation-driven Plan in Central South University (Grant No. 2015cx007), Science Fund for Innovative Research Groups of the National Natural Science Foundation of China (Grand No: 61321003), National Natural Science Foundation of China (Grand No: 61273187).
|
Sun, Bei |
|
2016 |
49 |
20 |
p. 178-183 6 p. |
artikel |
29 |
Online Estimation of the pH Value for Froth Flotation of Bauxite Based on Adaptive Multiple Neural Networks * * Sponsor and financial support: the National Natural Science Foundation of China (61304126, 61304019) and Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61321003), the Ph.D. Programs Foundation of the Education Ministry of China (No. 20120162120022).
|
Wang, Xiao-li |
|
2016 |
49 |
20 |
p. 149-154 6 p. |
artikel |
30 |
Operating mode recognition. Application to a grinding mill process.
|
Marx, Benoît |
|
2016 |
49 |
20 |
p. 7-12 6 p. |
artikel |
31 |
Optimal Steady-State Temperature Field in an Experimental Annealing Furnace
|
Jadachowski, L. |
|
2016 |
49 |
20 |
p. 214-219 6 p. |
artikel |
32 |
Optimization of a Radiometric Density Meter for Monitoring of a Coal Separation Process in a Jig
|
Cierpisz, S. |
|
2016 |
49 |
20 |
p. 43-48 6 p. |
artikel |
33 |
Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process
|
Baraka, Ali |
|
2016 |
49 |
20 |
p. 143-148 6 p. |
artikel |
34 |
Plant-wide control of grinding mill circuits: Top-down analysis
|
le Roux, J.D. |
|
2016 |
49 |
20 |
p. 72-77 6 p. |
artikel |
35 |
Predicting Charpy Impact Energy for Heat-Treated Steel using a Quantum-Membership-Function-based Fuzzy Model
|
Muscat, R. |
|
2016 |
49 |
20 |
p. 138-142 5 p. |
artikel |
36 |
Prediction of camber formation, suppression and control of wedge-shaped hot rolled slabs by analytical concepts and finite elements
|
Kainz, A. |
|
2016 |
49 |
20 |
p. 238-243 6 p. |
artikel |
37 |
Predictive Expert Control System of a Hybrid Pilot Rougher Flotation Circuit
|
Bergh, Luis |
|
2016 |
49 |
20 |
p. 155-160 6 p. |
artikel |
38 |
Real-Time Simulation and Control of a SAG Mill
|
Guerrero, F. |
|
2016 |
49 |
20 |
p. 61-66 6 p. |
artikel |
39 |
Skull formation in dynamic modelling of silicon refining
|
Nordgård-Hansen, Ellen |
|
2016 |
49 |
20 |
p. 173-177 5 p. |
artikel |
40 |
Software sensor as distributed parameter system for the control of secondary cooling in the continuous casting of steel
|
Hulkó, G. |
|
2016 |
49 |
20 |
p. 49-54 6 p. |
artikel |
41 |
Spiral Concentrator Interface Monitoring through Image Processing: Optimization for Parameter Selection
|
Nienaber, E.C. |
|
2016 |
49 |
20 |
p. 102-107 6 p. |
artikel |
42 |
State and parameter identifiability of a non-linear grinding mill circuit model
|
le Roux, Johan D. |
|
2016 |
49 |
20 |
p. 1-6 6 p. |
artikel |
43 |
Towards intelligent manufacturing, semantic modelling for the steel industry. * * The research leading to these results has received funding from the European Community’s Research Fund for Coal and Steel (RFCS) under grant agreement n° CT 2012 00038 (I2MSteel).
|
Zillner, Sonja |
|
2016 |
49 |
20 |
p. 220-225 6 p. |
artikel |
44 |
Vision-Based Material Tracking in Heavy-Plate Rolling
|
Schausberger, Florian |
|
2016 |
49 |
20 |
p. 108-113 6 p. |
artikel |