Simulations of industrial processes

HBrama01.jpg The fully automated and computerized metallurgical industry and production are unthinkable without using modern informational and controlling systems that utilize monitoring and modelling (simulations) of production processes. Our research group deals with these problems primarily in a relation to the continuous casting process, rolling and other thermal processes of metallurgical industry. We specialize in all processes comprising phase or structural changes.

The members of our research group are:

Skupinu tvoří:

doc. Ing. Josef ŠTĚTINA, Ph.D.

doc. Ing. Josef ŠTĚTINA, Ph.D. -  computer network administrator, specialises in measurement and control with the use of PC (author of control and measuring systems e.g. for Škoda auto company). Lectures Thermodynamics, Seminar on applied thermodynamics, CAD, and Experimental methods. His main specialisation is design and programming of measuring and control systems for metallurgy, automotive industry, and building technology. 


prof. Ing. František KAVIČKA, CSc.

prof. Ing. František KAVIČKA, CSc. - the founder of the discipline at BUT. His contemporary concerns are with material aspects of the discipline. 


Ing. Tomáš Mauder

Ing. Tomáš MAUDER - PhD student whose research focuses on “Optimisation of continuous steel slab casting with the use of the temperature field numerical model”. 


Ing. Lubomír Klimeš

Ing. Lubomír KLIMEŠ - PhD student whose research focuses on “Optimisation of secondary cooling parameters of continuous steel casting“. 


References (listed follows the works were our models are in operation)

Co-operating organisations:

PhD and habilitation theses originated by the group:


Production optimization the basis for Industry 4.0

Simulation for Industry 4.0 Can show what happened if server is breakdown, the queue is limited, new server is add or removed in the line, … Simulation can train the machine operators how to react on nonstandard or breakdown situation Can help with new production line proposal Industry 4.0 Contact:    mauder@fme.vutbr.cz , stetina@fme.vutbr.cz 

 

Transient simulation temperature field for continuous casting steel blank

image001.png The solidification and cooling of a slab, and the simultaneous heating of the mold, is a case of transient spatial–or three-dimensional–heat and mass transfer.

 

http://www.issisteel.org/

issi-new.jpg The International Society of Steel Institutes (ISSI) was formed in 2006 to promote collaboration between national institutes and societies which are engaged in promoting knowledge in the field of iron and steelmaking, steel usage and properties. 

 

Conference participation planned

 

Taking part in METAL 2013 conference

22 nd International conference on metallurgy and material 15- 17 May 2013 at the Voroněž I Hotel, Brno, Czech Republic 

 

Programming support for engineering problems

Pole.png

 

Ing. Lubomír Klimeš – Treatise on Optimisation of secondary cooling parameters of continuous steel casting

klimes.jpg The presented treatise submitted for the state doctoral exams deals with stochastic optimisation of operational parameters of continuous casting of steel facility. It presents the state of the art of the continuous casting of steel technology, numerical models of temperature fields of blanks produced by the technology, parallelization opportunities, optimisation methods and algorithms for solution of engineering problems, especially of random and/or uncertain character. The emphasis is put on control volume method, progressive hedging algorithm that enables for solution to stochastic optimisation problems, and CUDA architecture. The treatise also covers the actual state report on progress of the PhD study, achieved intermediate results included. It concludes with setting the study goals and methodology applied to fulfil the goals.

 

Tomáš Mauder – PhD thesis on Optimisation of continuous steel slab casting with the use of the temperature field numerical model

Tomas_Mauder_foto.jpg The thesis concerns with optimisation of operation of continuous steel slab casting facility. It summarises fundamental analytical and empirical findings about the solidification process, numerical modelling and selected optimisation techniques. It also states the physical conditions and factors influencing the final quality of steel, including their mutual interactions. The solution is based on an original off-line numerical model of the temperature field and its validation against real operation data. The model is extended by an optimisation fuzzy logic based model which is applied to optimisation of the process control. Its versatility is demonstrated by several cases e.g. finding the right casting parameters to produce high quality steel, reaction to emergency situations, finding the optimum relationship between individual casting parameters etc. Within the frame of the optimisation results, the thesis analyse recommended changes to the casting line of a particular continuous casting facility with the aim to reach higher surface temperature of the blank around straightener rolls. The entire concept of the numerical and optimisation model is general to such extent that it is applicable to any slab or billet steel casting.

 

Steel production schematics

ccm-a01.jpg How steel is produced nowadays.

 

Taking part in METAL 2012 conference

The international conference METAL 2012 commences on 25 May 2012 at 9:30 at the Voroněž I hotel, conference hall A.

 

19th Conference on materials and technology

 

References

 

Taking part in METEC InSteelCon 2011 conference

METEC 2011 Our group participated in the conference and trade show METEC InSteelCon 2011, Dusseldorf, Germany, 27 June to 1 July 2011.

 

Off-line Dynamic model of solidification

Teplotní pole test

 

On-line dynamic model of solidification

Slab The on-line model solves for the temperature fields in real time, which requires high performance computational hardware synchronised with the employed software. As a consequence, the model is capable of monitoring the temperature field development in the crystallizer area as well as in regions of secondary and tertiary cooling and apply the gathered information to optimise control of continuous casting facility as a whole and/or of its key parts/nodes/joints/components . 

 

Up