E-mail: info@inevitable-project.eu
E-mail: info@inevitable-project.eu
Publications
- D. Gradišar, M. Glavan. Material Requirements Planning Using Variable-Sized Bin-Packing Problem Formulation with Due Date and Grouping Constraints. Process. 8(10), 2020.
- P. Ettler. Combining FFT and pattern-based approach to isolate irregular periodic disturbances in rolling mills. DPS2020 conference, 2020.
- P. Ettler. Simulation of Slowly Varying Oscillations in Cold Rolling Mills. The 2020 European Simulation and Modelling Conference, 2020.
- M. Loncnar, D. Gradišar. Utiramo pot k tovarni prihodnosti (We are paving the way to the factory of the future). Interna revija Skupine SIJ, 2020.
- G. Gradišar, M. Glavan, G. Dolanc, M. Loncnar. Monitoring of sensor equipment of a cold rolling mill based on mass flow evaluation. AIG, 2021.
- V.Logar, S. Tomažič, G. Andonovski, A. Blažič, I. Škrjanc. Digital transformation of the steelmaking industry: an EAF case study. Proceedings of the 4th EASES symposium, 2021.
- V. Logar, I. Škrjanc. The influence of electric-arc-furnace input feeds on its electrical energy consumption. Journal of Sustainable Metallurgy, 2021.
- S. Kuthe; A. Karasev; B. Glaser. Evaluation of inclusion characteristics to monitor the efficiency of calcium-treatment in low-alloyed liquid steels. Proceedings of the ESTAD’21 conference, 2021.
- V. Logar. Uporaba modeliranja in simulacije v digitalizaciji procesa elektroobločne peči. Proceedings of ERK conference, 2021.
- K. Cuznar. Optimizacija receptov hladnega valjanja na podlagi analize zgodovinskih podatkov. Proceedings of ERK conference, 2021.
- V. Logar, S. Tomažič, G. Andonovski, I. Škrjanc. Digitalization and Software Support of the Electric Arc Furnace Process. Proceedings of the 9th Conference on modeling and simulation of metallurgical processes in steelmaking – Steelsim 2021.
- C. Gruber, B. Bückner, M. Schatzl, M. Thumfart, R. Eßbichl, R. Rössler. Big data handling in process surveillance and quality control of secondary metallurgical processes. Proceedings of the 9th Conference on modeling and simulation of metallurgical processes in steelmaking – Steelsim 2021.
- M. Thumfart. Observations of steel bubble dynamics and complex multi-phase flow in a vacuum chamber. 18th Multiphase flow conference & short course, 2021.
- M. Loncnar, Z. Smolej, D. Gradišar. “Brez stranpoti, naravnost v digitalno transformacijo” (No detours, straight into digital transformation). Interna revija Skupine SIJ, 2021.
- A. Blažič, I. Škrjanc, V. Logar. Soft sensor of bath temperature in an electric arc furnace based on a data-driven Takagi–Sugeno fuzzy model. Applied Soft Computing. 113:B, 2021.
- D. Gradišar. INEVITABLE project – Digital twins to improve processes in the metal industry. Control Technologies – technologies that makes things work, 2021.
- C. Gruber, B. Bückner, M. Schatzl, M. Thumfart, R. Eßbichl, R. Rössler, Big data handling in process surveillance and quality control of secondary metallurgical processes, Steelsim 2021.
- P. Ettler; I. Puchr, Specific Data Sampling and Filtering Helps to Detect and Isolate Periodic Disturbances, MED 2022.
- K. Cuznar, M. Glavan, Optimization of cold rolling process recipes based on historical data, MELECON 2022.
- P. Ettler, M. Glavan, Detection and isolation of oscillation sources in cold rolling mills, IFAC-PapersOnLine, 2022.
- G. Andonovski, S. Tomažič, Comparison of data-based models for prediction and optimization of energy consumption in electric arc furnace (EAF), IFAC-PapersOnLine, 2022.
- S. Tomažič, G. Andonovski, I. Škrjanc; V. Logar, Data-Driven Modelling and Optimization of Energy Consumption in EAF, Metals, 2022.
- V. Logar, Digital twin of the electric arc furnace (Digitalni dvojček elektroobločne peči), ERK 2022.
- D. Gradišar, Optimising performance in the metal industry, Projects magazine, Issue 43, Insight media, 2022.
- A. Blažič, V. Logar, I. Škrjanc, Fuzzy Interval Oxygen Estimation in an Electric Arc Furnace from Scarce Output Measurements, FUZZ-IEEE 2022,
- C. Gruber, B. Bückner, M. Schatzl, M. Thumfart, R. Eßbichl, R. Rössler, Big Data Handling in Process Surveillance and Quality Control of Secondary Metallurgical Processes, Steel research international, 2022.
- J. Fiedler, K. Berland, J. W. Borchert, R. W. Corkery, A. Eisfeld, D. Gelbwaser-Klimovsky, M. M. Greve, B. Holst, K. Jacobs, M. Krüger, D. F. Parsons, C. Persson, M. Presselt, T. Reisinger, S. Scheel, F. Stienkemeier, M. Tømterud, M. Walter, R. T. Weitz, J. Zalieckas, Perspectives on weak interactions in complex materials at different length scales, Phys. Chem. Chem. Phys, 2023.
- S. Kuthe, B. Glaser, R. Roman; I. Alonso Oña, Self-adaptive data-driven models for process monitoring during ladle refining and continuous casting, EOSC 2022,
- P. Ettler, Sensor Fusion Helps to Improve Strip Speed Measurement in Cold Rolling Mills, ICM 2023.
- Gradišar, M. Glavan, M. Loncnar. System for supporting initial force setting in cold rolling. AIG, Maribor, Slovenia, 2023.
- Demšar, M. Glavan, G. Gradišar. Approach for introduction of cognitive-analytic solutions in production companies based on the 6P methodology. AIG, Maribor, Slovenia, 2023.
- Cuznar, S. Tomažič.Implementation of a user interface for interaction with the decision support system for electric arc furnace operators in the Siemens MindSphere environment. AIG, Maribor, Slovenia, 2023.
- Gruber, M.Thumfart, J. Wachlmayr, B. Palm, B. Kleimt, S.Kuthe, B. Glaser, V. Logar, I. Škrjanc, D. Gradišar, M. Glavan, P. Ettler, M. Demsar, I. Alonso, R. Rössler, M. Loncnar, Z. Smolej. Optimization and performance improving in metal industry by digital technologies. METEC & 6th ESTAD, Düsseldorf, Germany, June 2023.
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