342-0980/02 – Modeling, Simulation and Optimization of Transport and Process Systems (MSODaPS)
| Gurantor department | Institute of Transport | Credits | 10 |
| Subject guarantor | doc. Ing. Robert Brázda, Ph.D. | Subject version guarantor | doc. Ing. Robert Brázda, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FS | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
Students will acquire the following skills:
- will be able to model well known structures
- will be able to perform simulations, thereby obtaining new information on system behavior depending on input variables and parameter values,
- will be able to set the parameter values and initial state of the model,
- will be able to input stimuli from the environment during simulation and evaluate output data (system behavior information)
- will be able to optimize transport and process systems based on shape, function or energy requirements.
Students will be competent to:
- Modeling of transport and process equipment
- simulations on transport and process equipment
- optimization of transport and process equipment according to given criteria.
Teaching methods
Lectures
Individual consultations
Summary
Through graphical, computational and numerical programs, the subject will enable students to obtain essential information about modeling, simulation and optimization of transport and process equipment. The aim is to design an optimal device with knowledge of input data, solve continuously changing parameters for simulation and optimize the device based on specific requirements.
Compulsory literature:
[1] Gelnar, D., Zegzulka, J. (2019). Discrete Element Method in the Design of Transport Systems. Springer.
[2] Matuttis, H. G., & Chen, J. (2014). Understanding the Discrete Element Method. Wiley.
[3] Munjiza, A.(2004). The Combined Finite - Discrete Element Method. Wiley.
[4] Norouzi, H. R., & Zarghami, R., Sotudeh-Gharebagh, R., Mostoufi, N. (2016). Coupled CFD-DEM Modeling. Wiley.
Recommended literature:
[1] Tavarez, F. A. (2005). Discrete Element Method for Modeling Solid and Particulate Materials. University of Wisconsin.
[2] Chareyre, B. (2019). The Discrete Element Method for Granular Solids. Elsevier Science.
[3] Lu, Z., He, X., Zhou, Y.(2018). Discrete Element Method - based Collapse Simulation, Validation and Application to Frame Structures. Taylor & Francis.
Way of continuous check of knowledge in the course of semester
1. The student elaborates a seminar paper from the field of transport and process equipment.
2. The student will model the given structure.
3. The student simulates the transport process for variable conditions given by the teacher.
4. The student will propose optimal transport and process equipment using an appropriate optimization method.
5. The device created in this way will prepare an application for patent proceedings in the Czech Republic.
E-learning
Other requirements
There are no additional requirements for the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) Modeling a known structure of a selected part of a transport or process device using Inventor or ProEngineer.
2) Simulation of selected function of transport or process equipment - algorithmization of simulation model, simulation study, simulator input modeling, analysis of simulation output data, creation of suitable animation.
3) Optimization of transport and process equipment based on requirements for shape parameters, material parameters, functional parameters or energy requirements.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.