Design of Metallurgical Production in the Context of Industry 4.0

• Autorzy: Rudy Vladimír , Malega Peter , Daneshjo Naqib , Kováč Juraj

Identyfikatory

DOI

10.12913/22998624/155036

• Języki publikacji: EN

Abstrakty

EN

This article discusses a predictive quality management system that aims to eliminate repair technologies by exploiting the cognitive capability of manufacturing facilities in the manufacturing process. During production, deviations from the required quality parameters such as strip flatness, strip profile, and non-achievement of the required mechanical properties of dimensional variations occur, and their correction or correction requires repair technologies beyond the standard processes. The metallurgical process itself is energy and financially demanding. Repairing technologies represent added production costs and environmental burdens not only in the form of high-energy consumption but also in the production of harmful substances that have a negative impact on the environment. The production of solid dust impurities, the production of gaseous exhalations, high water consumption, environmental warming and water pollution, and the formation of slag ash are just a few negative aspects of metallurgical production. Steel producers make great efforts to achieve the required quality parameters and reduce the cost of repair technologies.

Słowa kluczowe

EN

predictive quality management; quality management; rolling mill; repair technologies; pickling line

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2022
• Tom: Vol. 16, no 5
• Strony: 271--276
• Opis fizyczny: Bibliogr. 14 poz., fig.

Twórcy

autor

Rudy Vladimír

• Faculty of Mechanical Engineering, Technical University of Kosice, Slovak Republic

autor

Malega Peter

• Faculty of Mechanical Engineering, Technical University of Kosice, Slovak Republic

autor

Daneshjo Naqib

• Faculty of Commerce, University of Economics in Bratislava, Slovak Republic

• https://orcid.org/0000-0003-3357-6738

autor

Kováč Juraj

• Faculty of Mechanical Engineering, Technical University of Kosice, Slovak Republic

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).