Mechatronics Systems

Module aim

To deliver fundamentals of modelling, experimental design and scientific research of mechatronic systems.

Module description

There are presented overview of experimental research of mechatronic systems, defined methods of scientific research, introduced with experimental design. There are discussed modelling of experiment and simulation of mechatronic systems.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Module aim

to deliver knowledge about mechanics of mechatronic and robotic systems.

Module description

There are presented overview of mechanics of mechatronic and robotic systems, delivered their design features and prescribed their implementations. There are discussed structure of mechanics of mechatronic and robotic systems, delivered their dynamic characteristics and practical methods of their obtaining.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Module aim

To provide the profound knowledge about the theory of finite elements methods, types of finite elements and to develop skills to comprehend physical processes, their mathematical expression and to choose the appropriate methods and algorithms of solution. Additionally, to introduce the fundamental concepts of finite element modeling and enable the students to use a general-purpose finite element analysis software (ANSYS and SOLIDWORKS), to solve mechanical and biomechanical engineering problems.

Module description

The finite element method (FEM) is indispensable in modelling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. Types of finite elements, approximation functions and their characteristics, variational calculation, functional extremum is under a course learning. Course include main derivation methods of FEM equations; methods of introducing boundary conditions; methods of solving linear and non-linear systems of algebraic equations of high order and integrating the systems of differential equations. Solving the main mechanical problems by FEM: elasticity problems; non-stationary problems of elastic and viscous materials, problems of the stability of structures; thermal analyses problems; problems of hydrodynamics; electrodynamical problems and frequency problems is analysis by standard finite elements.

Module aim

To give competences to solve specialized problems, which are needed to perform scientific investigations, to obtain new knowledge and to apply new investigation methodic and to integrate knowledge from different fields.

Module description

According to Master’s thesis topic approved by the department, analysis of the problem is carried out, goals and task of the investigation are formulated, methods of investigation are chosen, the review of processes to be investigated is done.

Module aim

The course aims to provide students with knowledge of research methodology and techniques as well as abilities to make research and to predict how the research results could be used for innovation creation and implementation industry by solving engineering and managerial problems.

Module description

The module is about the methodological bases of science and innovations. The basic concept, structure and objectives of research. The qualitative and quantitative research methods. The planning stages, planning validity, reliability and ethics of research. The main strategies of research. Theoretical and empirical research methods. The importance of innovation and modern business trends. Innovation concept and classification. Regional innovation clusters, government policies for innovation. The role of creativity in innovation, creative process.

Module aim

Introducing students with various methods of mechatronic system modelling.

Module description

Methods of modelling. Analysis of mechatronic systems on basis of their modelling possibility. Modelling of components of mechatronic systems. Jointed mechatronic systems, influence of control. Synthesizing of new mechatronic systems with desired properties in case of modelling new systems.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Module aim

To deliver knowledge about structure of mechatronic systems, to introduce with diagnostic equipment and their implementation methods of such systems.

Module description

Provides information about the structure of mechatronics systems, methods of structure investigation and diagnostics of failures. Provides an overview of diagnostic equipment, introduces the circumstances of potential fault location of mechatronic systems. A description of the course of diagnostic testing of mechatronic systems is provided.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Module aim

To introduce with design features of sensors and their implementation in mechatronics.

Module description

There are delivered detailed overview of sensors in mechatronics. Detailed description of their design features, methods and possibilities of their implementation in mechatronics. There are discussed possibilities of sensor design and enhancement.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Module aim

To give knowledge on mechatronical systems control theory, signals and control implementation using computer (controler) based data acquisition and control systems, to explain the methods of control systems analysis and synthesis, to give knowledge on adaptyve control systems and neural networks.

Module description

Continous time and discrete time systems, control algorithms, direct and closed loop control, system analysis, Laplace, Fourier and “z” transforms, signals, adaptyve control, neutral networks, computer based data acquisition and control devices.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Module aim

To develop experiment plan, to give competences to solve specialized mechanics and mechatronical systems problems, which are needed to perform scientific investigations, to obtain new knowledge and improve research methodics and to integrate knowledge from different fields.

Module description

Further profounding in to problem under investigation, working out of experiment methodic, experimental equipment gathering, analysis of other similar work results and publications.