Deliverables Documents, reports (10) Evaluation and reporting of achieved process improvements Evaluation and reporting of achieved process improvementsThis report will represent the evaluation results of the developed system in different demonstrators This includes evaluation of system performance achieved improvements and benefits Guidelines for model set-up, validation and auto-calibration Guidelines for model setup validation and autocalibrationCrosssectorial guidelines for model setup validation and autocalibration Communication plan Communication plan Plan for implementation of different communication actions of the project Exploitation plan Exploitation planFinal version of the exploitation plan Document will identify the exploitable results and how these should be exploited Initial exploitation plan Initial exploitation plan Document for the exploitation opportunities and plans for project result exploitation. Document will be updated throughout the project to keep track of potential opportunities as they are identified. Dissemination plan Dissemination plan Plan for dissemination activities to make the project outcomes visible and accessible to the different target stakeholders Validation of process models Validation of process modelsValidation and tuning of the enhanced models List of generic KPIs to assess the system functionality and benchmarks for system validation on use cases List of generic KPIs to assess the system functionality and benchmarks for system validation on use cases Deliverable D1.3 will list the generic KPIs to assess the system functionality and the criteria by which the project’s impact will be evaluated in WP5. Layout of process models Specification of application specific models (energy and mass balance, thermodynamics, heat transfer, product quality etc.) to be integrated into through-process monitoring, optimisation and control system System requirements specification (SRS) System requirements specification (SRS) Deliverable D1.2 will list the requirements derived from the use case for the developed system. Other (1) Setting up project content management system Setting up project content management system Content management system will be used as a tool for coordination, document delivery and storage and internal communication. Websites, patent fillings, videos etc. (1) Project website Project website Creation of a project website for dissemination and communication purpose. Publications Peer reviewed articles (6) Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods Author(s): Jere Backman, Vesa Kyllönen, Heli Helaakoski Published in: IFAC-PapersOnLine, Issue 52/13, 2019, Page(s) 1174-1179, ISSN 2405-8963 Publisher: Elsevier DOI: 10.1016/j.ifacol.2019.11.355 Steelmaking Process Optimised through a Decision Support System Aided by Self-Learning Machine Learning Author(s): Andreiana, Doru S., Luis E. Acevedo Galicia, Seppo Ollila, Carlos Leyva Guerrero, Álvaro Ojeda Roldán, Fernando Dorado Navas, and Alejandro del Real Torres Published in: Processes, Issue 10, 2022, ISSN 2227-9717 Publisher: MDPI DOI: 10.3390/pr10030434 Optimisation of Operator Support Systems through Artificial Intelligence for the Cast Steel Industry: A Case for Optimisation of the Oxygen Blowing Process Based on Machine Learning Algorithms Author(s): Ojeda Roldán, Álvaro, Gert Gassner, Martin Schlautmann, Luis E. Acevedo Galicia, Doru S. Andreiana, Mikko Heiskanen, Carlos Leyva Guerrero, Fernando Dorado Navas, and Alejandro del Real Torres Published in: Journal of Manufacturing and Materials Processing, Issue 6, 2022, ISSN 2504-4494 Publisher: MDPI DOI: 10.3390/jmmp6020034 Adaptive First Principles Model for the CAS-OB Process for Real-Time Applications Author(s): Kasper Linnestad; Seppo Ollila; Stein O. Wasbø; Agne Bogdanoff; Torstein Rotevatn Published in: Metals, Issue 11, 2021, ISSN 2075-4701 Publisher: MDPI DOI: 10.3390/met11101554 Thermophysical Model for Online Optimization and Control of the Electric Arc Furnace Author(s): Sudi Jawahery; Ville-Valtteri Visuri; Stein O. Wasbø; Andreas Hammervold; Niko Hyttinen; Martin Schlautmann Published in: Metals, Issue 11, 2021, ISSN 2075-4701 Publisher: MDPI DOI: 10.3390/met11101587 Explainable Steel Quality Prediction System Based on Gradient Boosting Decision Trees Author(s): Janne Takalo-Mattila, Mikko Heiskanen, Vesa Kyllönen, Leena Määttä, Agne Bogdanoff Published in: IEEE Access, Issue 10, 2022, Page(s) 68099 - 68110, ISSN 2169-3536 Publisher: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/access.2022.3185607 Conference proceedings (4) Model-Based Optimisation for Efficient Use of Resources and Energy Author(s): Heli Helaakoski, Seppo Ollila, Stein O. Wasbø, Torstein Rotevatn, Santiago Moreira, Martin Schlautmann, Jere Backman Published in: Proceedings of the METEC & 4th ESTAD 2019, European Steel Technology and Application Days, 2019 Publisher: - Model predictive control of the AOD process for material and energy optimisation Author(s): Ville-Valtteri Visuri, Pentti Kupari, Andreas Hammervold, Stein O. Wasbø, Vera Peiss Published in: Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking, 2021, Page(s) 128–135, ISBN 978-3-200-07994-6 Publisher: The Austrian Society for Metallurgy and Materials Development and application of model-based software tools for raw material and energy optimisation at the Cast Steel production route – Results from MORSE project Author(s): Gassner, G., Fuchs, P., Schlautmann, M., Stubbe G., Jendryssek, U., Niehues, P., Leyva, C., Ojeda, A Published in: Proceedings of the 5th ESTAD 2021, European Steel Technology and Application Days, 2021 Publisher: - Preliminary experiences from the application of model predictive control for the EAF process in stainless steelmaking Author(s): Ville-Valtteri Visuri, Sudi Jawahery, Niko Hyttinen, Stein O. Wasbø, Martin Schlautmann Published in: Proceedings of the 4th European Academic Symposium on EAF Steelmaking, 2021, Page(s) 42-43 Publisher: Department for Industrial Furnaces and Heat Engineering, RWTH Aachen University Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
