Course detail

Modelling and Simulation of Production Machines

FSI-GMS-KAcad. year: 2021/2022

The subject is aimed at gaining knowledge in the field of simulation within production machines. In the course, students will learn how to work with necessary softwares.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Tomáš Marada, Ph.D.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

Learning outcomes of the course unit

The graduates will acquire and extend their knowledge of simulation methods in the field of production machines.

Prerequisites

Acknowledgement from course Calculations and Simulation in Machines Design (GKV). Furthermore, basic knowledge of electric drives.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The subject is taught in the form of computer exercises, which are focused on practical demonstration of simulation procedures in individual programs.
As far as possible, lectures by practitioners and excursions to companies dealing with the content-related activities will be organized for students.

Assesment methods and criteria linked to learning outcomes

The course is evaluated by clasified credit.
Credit is awarded and evaluated on the basis of the simulation model, which will be elaborated during the term announced in the examination period.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course is to acquire basic acknowledge of simulation software usable for simulations in the field of production machines (ADAMS, Matlab / Simulink).

Specification of controlled education, way of implementation and compensation for absences

The students’ participation and activity in seminars shall be checked. 100% participation in seminars is required; in case of absence, the student is obliged to substitute for the missed tuition in a way determined by the teacher.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

KARBAN, Pavel. Výpočty a simulace v programech Matlab a Simulink. Brno: Computer Press, 2006, 220 s. : il., tabulky, grafy ; 23 cm. ISBN 80-251-1301-9.
Marek J, Novotný L, Smolík J, Blecha P, Březina T, Mrkvica I, Sulitka M, et al. (2010). Konstrukce CNC obráběcích strojů (MM Speciál., p. 420). Praha: MM publishing, s.r. o.

Recommended reading

BRENÍK, P.; PÍČ, J. Obráběcí stroje - konstrukce a výpočty. 2. vyd. Praha: SNTL, 1986. 573 s. ISBN 04-235-86
GREPL, Robert. Modelování mechatronických systémů v Matlab SimMechanics. Praha: BEN - technická literatura, 2007, 151 s. : il. ; 23 cm. ISBN 978-80-7300-226-8.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme N-VSR-K Master's 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Guided consultation in combined form of studies

13 hod., compulsory

Teacher / Lecturer

Ing. Tomáš Marada, Ph.D.
Ing. Jiří Tůma, Ph.D.

Syllabus

1. Model preparation for simulation of drive axes.
2. Preparation of CAD model for simulation software.
3. Definition of kinematic and dynamic model relationships.
4. Definition of state variables in simulation software.
5. Preparation of input and output variables in ADAMS.
6. Basic calculations in Matlab.
7. Solution of differential equations in Matlab.
8. Modeling in Simulink, Simulink solutions.
9. Other possibilities of simulation of dynamic systems in Simulink.
10. Simulation options using Simscape.
11. Simulation possibilities using Simscape library and other Simulink libraries.
12. Creation of ADAMS / Simulink cosimulation.
13. Creation of ADAMS / Simulink cosimulation.

Guided consultation

26 hod., optionally

Teacher / Lecturer

Ing. Tomáš Marada, Ph.D.

Syllabus

1. Model preparation for simulation of drive axes.
2. Preparation of CAD model for simulation software.
3. Definition of kinematic and dynamic model relationships.
4. Definition of state variables in simulation software.
5. Preparation of input and output variables in ADAMS.
6. Basic calculations in Matlab.
7. Solution of differential equations in Matlab.
8. Modeling in Simulink, Simulink solutions.
9. Other possibilities of simulation of dynamic systems in Simulink.
10. Simulation options using Simscape.
11. Simulation possibilities using Simscape library and other Simulink libraries.
12. Creation of ADAMS / Simulink cosimulation.
13. Creation of ADAMS / Simulink cosimulation.

Elearning

eLearning: currently opened course