prof. Ing. Josef Štětina, Ph.D.

E-mail:   Josef.Stetina@vutbr.cz  WWW:   http://ottp.fme.vutbr.cz/users/stetina/ Dept.:   Institute of Automotive Engineering Position:   Director of Institute Room:   A1/0718 Dept.:   Institute of Automotive Engineering Dept. of Powertrain Position:   Professor Room:   A1/0718 Dept.:   NeTME Centre NCC JOBNAC - Division of Automotive Engineering Position:   Head of Subdivision Dept.:   NeTME Centre NCC NAHYC - Division of Automotive Engineering Position:   Head of Subdivision

Supervised courses:

• Alternative Powertrain and Energy Storage (QAP)
• Applied Thermodynamics (IAT-A)
• Automotive Engineering (6AI)
• Automotive Engineering (6AI-A)
• Bachelor Project (6B)
• Bachelor Project (6B-A)
• Building Information Models – Designing (ICA)
• Experimental Methods (QEM)
• Introduction to Mechanical Engineering (1SI)
• Introduction to Mechanical Engineering (1SI-A)
• Introduction to Mechanical Engineering (1SI-K)
• Seminar of Applied Thermomechanics (0AT)
• Seminar of Applied Thermomechanics (0AT)
• Theory of Energy Transformation, Power Units (QTS)
• Thermodynamics of Power Cycles (9TDC)
• Thermomechanics (6TT-A)
• Thermomechanics (6TT-A)
• Thermomechanics (6TT)
• Thermomechanics (6TT-K)
• Thermomechanics (6TT)

Publications:

• MAUDER, T.; CHARVÁT, P.; ŠTĚTINA, J.; KLIMEŠ, L.:
  Assessment of Basic Approaches to Numerical Modeling of Phase Change Problems—Accuracy, Efficiency, and Parallel Decomposition, The Americal Society of Mechanical Engineers ASME
  journal article in Web of Science
• CHARVÁT, P.; ŠTĚTINA, J.; MAUDER, T.; KLIMEŠ, L.:
  Visual monitoring of the melting front propagation in a paraffin-based PCM,
  Proceedings of the International Conference Experimental Fluid Mechanics 2016 , pp.284-288, (2016), EDP Sciences
  conference paper
  akce: Experimental fluid mechanics 2016, Mariánské lázně, 15.11.2016-18.11.2016
• ŠTĚTINA, J.; MAUDER, T.; KLIMEŠ, L.:
  STEEL IN AUTOMOTIVE INDUSTRY,
  KOKA 2016, pp.195-202, ISBN 978-80-214-5379-1, (2016), VUT Brno
  conference paper
  akce: KOKA 2016 , Brno, 05.09.2016-06.09.2016
• KLIMEŠ, L.; MAUDER, T.; CHARVÁT, P.; ŠTĚTINA, J.:
  An accuracy analysis of the front tracking method and interface capturing methods for the solution of heat transfer problems with phase changes,
  Journal of Physics: Conference Series, pp.1-8, (2016), IOP Publishing
  conference paper
  akce: 7th European Thermal-Sciences Conference EUROTHERM 2016, Krakov, 19.06.2016-23.06.2016
• ŠTĚTINA, J.; MAUDER, T.; KLIMEŠ, L.:
  A COMPREHENSIVE REAL-TIME TOOL FOR SOLIDIFICATION, COOLING AND QUALITY CONTROL OF CONTINUOUS CASTING PROCESS,
  Sborník konference METAL 2016, pp.47-53, ISBN 978-80-87294-67-3, (2016), TANGER Ltd.
  conference paper
  akce: METAL 2016, Brno, 25.05.2016-27.05.2016
• MAUDER, T.; KLIMEŠ, L.; ŠTĚTINA, J.; CHARVÁT, P.:
  FRONT TRACKING METHOD FOR SIMULATION OF SOLIDIFICATION PROCESSES WITH PURE ALUMINIUM ,
  Sborník konference METAL 2016, pp.1194-1199, ISBN 978-80-87294-67-3, (2016), TANGER Ltd.
  conference paper
  akce: METAL 2016, Brno, 25.05.2016-27.05.2016
• MAUDER, T.; ŠTĚTINA, J.:
  IMPROVEMENT OF THE CASTING OF SPECIAL STEEL WITH A WIDE SOLID-LIQUID INTERFACE, MIT Ljubljana
  journal article in Web of Science
• KLIMEŠ, L.; ŠTĚTINA, J.:
  A rapid GPU-based heat transfer and solidification model for dynamic computer simulations of continuous steel casting, Elsevier
  journal article in Web of Science
• CHARVÁT, P.; KLIMEŠ, L.; OSTRÝ, M.; ŠTĚTINA, J.:
  A VALIDATED TRNSYS MODEL OF THERMALLY ACTIVATED LAYER WITH PHASE CHANGE MATERIAL,
  ASME 2015 International Mechanical Engineering Congress and Exposition Volume 8A: Heat Transfer and Thermal Engineering, pp.1-4, ISBN 978-0-7918-5749-6, (2015), ASME
  conference paper
  akce: ASME 2015, Houston, Texas, 13.11.2015-19.11.2015
• MAUDER, T.; ŠANDERA, Č.; ŠTĚTINA, J.:
  Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic, WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
  journal article in Web of Science
• ŠTĚTINA, J.; KLIMEŠ, L.; MAUDER, T.:
  New Challenges in Modelling and Secondary Cooling Control of Continuous Steel Casting,
  METEC & 2nd ESTAD 2015 Proceedings, pp.1-8, ISBN 978-3-00-049542-7, (2015), Steel Institute VDEh
  conference paper
  akce: METEC & 2nd ESTAD 2015, Dusseldorf, 15.06.2015-19.06.2015
• MAUDER, T.; ŠTĚTINA, J.:
  OPTIMIZATION OF THE SECONDARY COOLING IN A CONTINUOUS CASTING PROCESS WITH DIFFERENT OPTIMIZATION OF THE SECONDARY COOLING IN A CONTINUOUS CASTING PROCESS WITH DIFFERENT SLAB CROSS-SECTIONS, MIT Ljubljana
  journal article in Web of Science
• KLIMEŠ, L.; ŠTĚTINA, J.:
  Unsteady model-based predictive control of continuous steel casting by means of very fast dynamic solidification model on GPU, Insitute of Metals and Technology
  journal article in Web of Science
• KLIMEŠ, L.; ŠTĚTINA, J.:
  Challenges in numerical modelling of continuous steel casting - very fast GPU dynamic solidification model and its use in continuous casting control,
  Proceedings of the 8th European Continuous Casting Conference ECCC 2014, pp.266-275, ISBN 978-3-200-03664-2, (2014), Austrian Society for Metallurgy and Materials (ASMET)
  conference paper
  akce: 8th European Continuous Casting Conference - ECCC 2014, Graz, 23.06.2014-26.06.2014
• CHARVÁT, P.; KLIMEŠ, L.; ŠTĚTINA, J.; OSTRÝ, M.:
  Thermal storage as a way to attenuate fluid temperature fluctuations - sensible vs. latent heat storage materials, Insitute of Metals and Technology
  journal article in Web of Science
• KAVIČKA, F.; DOBROVSKÁ, J.; STRÁNSKÝ, K.; SEKANINA, B.; ŠTĚTINA, J.:
  Temperature Field and Solidification Structure of a Ductile-Cast-Iron Roller, Trans Tech Publications
  journal article in Web of Science
• KAVIČKA, F.; STRÁNSKÝ, K.; SEKANINA, B.; ŠTĚTINA, J.; MASARIK, M.; MAUDER, T.:
  Comparison of the temperature field continuously cast steel slabs with different chemical composition.,
  Materiali in tehnologije, Vol.47 (2013), (2013), No.4, pp.497-501, ISSN 1580-2949
  journal article - other
• KLIMEŠ, L.; ŠTĚTINA, J.; BUČEK, P.:
  Impact of casting speed on the temperature field of continuously cast steel billets,
  Materiali in tehnologije, Vol.47, (2013), No.4, pp.507-513, ISSN 1580-2949, Insitute of Metals and Technology
  journal article - other
• ŠTĚTINA, J.; MAUDER, T.; KLIMEŠ, L.; KAVIČKA, F.:
  MINIMIZATION OF SURFACE DEFECTS BY INCREASING THE SURFACE TEMPERATURE DURING THE STRAIGHTENING OF A CONTINUOUSLY CAST SLAB,
  Materiali in tehnologije, Vol.47, (2013), No.3, pp.311-316, ISSN 1580-2949, IMT Ljubljana
  journal article - other
• MAUDER, T.; ŠANDERA, Č.; ŠTĚTINA, J.:
  A FUZZY-BASED OPTIMAL CONTROL ALGORITHM FOR A CONTINUOUS CASTING PROCESS,
  Materiali in tehnologije, Vol.46, (2012), No.4, pp.325-328, ISSN 1580-2949, Inštitut za kovinske materiale tehnologije
  journal article - other
• ŠTĚTINA, J.; KLIMEŠ, L.; MAUDER, T.; KAVIČKA, F.:
  FINAL-STRUCTURE PREDICTION OF CONTINUOUSLY CAST BILLETS, IMT Ljubljana
  journal article in Web of Science
• KAVIČKA, F.; STRÁNSKÝ, K.; SEKANINA, B.; ŠTĚTINA, J.; MAUDER, T.:
  The effect of electromagnetic stirring on the crystallization of concast billets -II
  journal article in Web of Science
• KAVIČKA, F.; SEKANINA, B.; ŠTĚTINA, J.; STRÁNSKÝ, K.; DOBROVSKÁ, J.:
  Numerical optimization of the method of cooling of a massive casting of ductile cast-iron, IMT
  journal article in Web of Science
• KAVIČKA, F.; ŠTĚTINA, J.; SEKANINA, B.; STRÁNSKÝ, K.; DOBROVSKÁ, J.; HEGER, J.:
  The optimization of a concasting technology by two numerical models, Elsevier
  journal article in Web of Science

List of publications at Portal BUT

Abstracts of most important papers:

• KLIMEŠ, L.; ŠTĚTINA, J.:
  A rapid GPU-based heat transfer and solidification model for dynamic computer simulations of continuous steel casting, Elsevier
  journal article in Web of Science
  The paper presents a GPU-based model for continuous casting of steel. The model provides rapid computation capabilities required for real-time use in the casting control and optimization. The fully three-dimensional formulation of the heat transfer and solidification model is based on the control volume method and it allows for very fast transient simulations of the thermal behaviour of cast strands. The developed model has been verified on Stefan problem and validated with industry measurements. Heat transfer conditions in the mould and secondary cooling were determined experimentally in lab-scale experiments. The computational model is implemented as highly-parallel with the use of the NVIDIA CUDA architecture, which enables to launch the model on graphics processing units (GPUs) allowing for its great acceleration. The acceleration can be evaluated with the use of the relative computational time, which is the dimensionless ratio between the computational time that the model needs to compute the simulation and the wall-clock time of the real casting process being simulated. The relative computational time of the presented GPU-based computational model is between 0.0016 for a coarse mesh and 0.27 for a very fine mesh. The corresponding multiple of the GPU-acceleration, which is the ratio between the computational time of the GPU-based model and of the CPU-based model for the identical simulation, is between 33 and 68.
• ŠTĚTINA, J.; KATOLICKÝ, J.; RAMÍK, P.:
  CONTROL OF SOFT REDUCTION OF CONTINUOUS SLAB CASTING WITH A THERMAL MODEL, IMT Ljubljana
  journal article in Web of Science
  The internal quality of cast steel slabs during the radial continuous casting is significantly affected by the setting of support rollers. During the passes through the support rolls the steel cools from 1400 °C to 600 °C, therefore the shrinkage of the material must be controlled with the setting of the reduction profile. The setting of the reduction profile with fixed rollers is a compromise used for all the cast steel. During the continuous casting the wear of the rolls occurs and this must also be considered when setting the profile with rollers. A 3D thermal model is used for the optimum setting. As the reduction setting cannot be optimized for older casters, internal defects are often present. New machines for continuous casting of steel are fitted with soft reduction, i.e., the system for controlling the roller position and setting the reduction profile for any type of steel. The control system is connected on-line with the 3D thermal model.
• MAUDER, T.; ŠANDERA, Č.; ŠTĚTINA, J.:
  Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic, WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
  journal article in Web of Science
  A supervision algorithm for controlling of continuous casting (CC) process is presented. The control strategy is based on the observation of temperature distribution through the casting strand. The algorithm is composed of two parts, an original 3D transient numerical model of the temperature field and the fuzzy-regulation model. The numerical model calculates and predicts the temperature distribution while the fuzzy-regulation model tracks the temperature in specific areas and tunes the casting parameters such as the casting speed, the cooling intensities in the secondary cooling, etc. The main goal is to keep surface and core temperatures in the specific ranges corresponding with the hot ductility of steel and adequately reacts on the variable casting conditions. The results show good and robust control behavior, fast response to dynamic system changes and general applicability for any CC process.
• ŠTĚTINA, J.; KAVIČKA, F.; MAUDER, T.:
  HEAT TRANSFER COEFFICIENTS BENEATH THE WATER COOLING NOZZLES OF A BILLET CASTER,
  Sborník konfernece, pp.22-30, ISBN 978-80-87294-03-1, (2009), Tanger s.r.o.
  conference paper
  akce: Metal 2009 18. Mezinárodní konference metalurgie a materiálů, Hradec Nad Moravicí, 19.05.2009-21.05.2009
  The accuracy with which the solidification and cooling of a continuously cast billet is investigated depends on the setting of the boundary conditions of the numerical model of the temperature field. An in-house numerical model of the 3D temperature field of a concast billet had been used. This model enables the analysis of the temperature field of the actual blank as it passes through the zero-, primary-, secondary- and tertiary-cooling zones, i.e. through the entire caster. This paper deals with the derivation of transfer phenomena under the cooling nozzles of the secondary zone. These phenomena are expressed by the values of the heat transfer coefficients (HTCs). The dependences of these coefficients on surface temperature and other operational parameters must also be given. The HTCs beneath the nozzles are given by the sum of the forced convection coefficient and the so-called reduced convection coefficient corresponding to heat transfer by radiation. The definition of the boundary conditions is the most difficult part of the numerical and experimental investigation of the thermokinetics of this process. Regarding the fact that on a real caster, where there are many types of nozzles (with various settings) positioned inside a closed cage, it is practically impossible to conduct measurement of the real boundary conditions. Therefore, an experimental laboratory device was introduced in order to measure the cooling characteristics of the nozzles. It simulates not only the movement, but also the surface of a blank - and for the necessary range of water flow in the operation and the casting speeds. The transfer phenomena beneath the water cooling nozzles are presented on a simulated temperature field for a real 150x150 mm steel billet under different operational conditions.
• KAVIČKA, F.; ŠTĚTINA, J.; SEKANINA, B.; STRÁNSKÝ, K.; DOBROVSKÁ, J.; HEGER, J.:
  The optimization of a concasting technology by two numerical models, Elsevier
  journal article in Web of Science
  Solidification and cooling of a continuously cast steel slab. An original 3D numerical model of a concasting temperature field. Experimental research and measuring. Original numerical model of dendritic segregation of elements.