Computer-Aided Design and Simulations (FSI-9SVC)

Academic year 2023/2024
Supervisor: doc. Ing. Vojtěch Turek, Ph.D.  
Supervising institute: ÚPI all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:

The main aim of the course is for students to be able to develop, implement, and apply models suitable for solving problems related to their doctoral theses.
Learning outcomes and competences:

Students will understand the principles of mathematical modelling and simulations of complex systems. They will have general knowledge regarding computer-aided design, analysis, and optimisation.
Prerequisites:

Graduate-level knowledge of mathematics, physics, and chemistry.
Course contents:

The postgraduate students will get acquainted with process simulations and computer-aided design of processes and equipment. The course includes classification of mathematical modelling approaches for systems with mass and heat transfer, fluid flow, and chemical reactions. The students will enhance their knowledge of balancing and simulations of complex systems including multiphase, reactive, or transient processes. Furthermore, attention will be paid to numerical methods for the solution of systems of equations. Optimisation techniques for process systems will also be discussed together with error propagation and regression analysis.
Teaching methods and criteria:

The course is taught through lectures focused on the topics required to finish the chosen doctoral projects. These include using appropriate software tools.
Assesment methods and criteria linked to learning outcomes:

Each student will develop a model of a process or a simulation model related to their doctoral thesis.
Controlled participation in lessons:

Attendance at lectures is recommended. Absences are compensated by self-study of the literature specified by the lecturer or, if needed, by pre-arranged consultations at which the models developed by the students are discussed.
Type of course unit:
    Lecture  10 × 2 hrs. optionally                  
Course curriculum:
    Lecture  
Literature - fundamental:
1. Felder, R. M.; Rousseau, R. W.; Bullard, L. G.: Elementary Principles of Chemical Processes, 4th ed., Wiley, Hoboken, NJ, USA (2015)
2. Chaves, I. D.; López, J. R.; Zapata, J. L.; Robayo, A. L.; Niño, G. R.: Process Analysis and Simulation in Chemical Engineering, Springer, Cham, Switzerland (2016)
3. Dahlquist, G; Björck, Å.: Numerical Methods in Scientific Computing, SIAM, Philadelphia, PA, USA (2008)
Literature - recommended:
1. Upreti, S. R.: Process Modeling and Simulation for Chemical Engineers: Theory and Practice, Wiley, Hoboken, NJ, USA (2017)
2. Puigjaner, L.; Heyen, H. (Eds.): Computer Aided Process and Product Engineering, Wiley-VCH Verlag GmbH, Weinheim, Germany, (2006)
3. Press, W. H.; Teukolsky, S. A.; Vetterling, W. T.; Flannery, B. P.: Numerical Recipes: The Art of Scientific Computing, 3rd ed., Cambridge University Press, Cambridge, UK (2007)
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
D-ENE-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 W
D-ENE-K combined study --- no specialisation -- DrEx 0 Recommended course 3 1 W