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Empirical and Data Based Modelling of Steel Technology Processes for Industrial Application
Author(s) -
Scheller P.R.,
Peisker D.
Publication year - 2004
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.200400579
Subject(s) - process (computing) , materials science , process modeling , process engineering , microstructure , experimental data , empirical modelling , automation , continuous casting , manufacturing engineering , mechanical engineering , metallurgy , computer science , work in process , engineering , simulation , operations management , statistics , mathematics , operating system
Process models and modelling of the fundamental relationships between the process parameters and the material properties are significant for process automation. Examples taken from the liquid steel treatment, the casting and solidification process and also from the microstructure formation and thermal influence of its properties show the practice oriented modelling of individual processing steps in the manufacturing of steel. Modelling is based both on physical and chemical fundamental principles and on data‐based methods. The used data are based on own empirical investigations as well as on selected published data which are collected in the own data base.