Anais do Seminário de Automação & TI


ISSN 2594-5335

23° Seminário de Automação e TI vol. 23, num.23 (2019)


Título

DIGITAL TWIN FOR CONTINUOUS CASTERS – THE PLAYGROUND FOR METALLURGISTS AND PROCESS ENGINEERS

DOI

10.5151/2594-5335-33945

Downloads

Baixar Artigo 481 Downloads

Resumo

 

State-of-the-art automation technology enables digitalization of the continuous casting process that goes far beyond conventional automation of industrial production. Primetals Technologies provides a digital twin that combines an intelligent digital representation of a casting machine as well as the casting process and the slabs, blooms or billets that are produced. It allows metallurgists and process engineers to predict the behavior of the involved complex production process and optimize parameters before using them in real production. New steel grades or production processes can be evaluated off-line without any risks to process stability and product quality. Primetals Technologies installs the digital twin with every new installation of a continuous caster optimization system. This paper describes how the setup and simulation possibilities of the digital twin provide numerous benefits by modelling and simulating the casting process. It allows for example the calculation of material properties according to the actual composition, strand surface temperature profiles and dynamic soft reduction before the final point of solidification. An outstanding feature of the digital twin is the replay functionality provided for various models to analyze and further optimize real production situations. The paper also gives an example how usage of the digital twin optimized production at a customer

Palavras-chave

Digitalization, Modernization, Level 2, Continuous casting, Automation, digital twin, Replay, Dyna

Como citar

Leitnerl, Reinhold; Fuchshuber, Daniel; Brugger, Christian; Pennerstorfer, Paul; Medeiros, Gabriel Andrade. DIGITAL TWIN FOR CONTINUOUS CASTERS – THE PLAYGROUND FOR METALLURGISTS AND PROCESS ENGINEERS , p. 338-348. In: 23° Seminário de Automação e TI, São Paulo, 2019.
ISSN: 2594-5335 , DOI 10.5151/2594-5335-33945