MODELING AND SIMULATION OF MECHANICAL SYSTEMS

The course intends to form engineering students with the knowledge for kinematic and dynamic modelling of the main mechanical systems and machines, the study of the vibration of systems with one or more degrees of freedom and the study of robotic mechanical systems.

During the course, numerical computer exercises will be carried out.

Dublin Descriptors

In line with the Study Programme's objective of training students in the field of industrial engineering, this course contributes to the acquisition of the knowledge and skills summarized below.

Knowledge and understanding

Passing the course examination implies that the student has acquired:

• knowledge of the theoretical and practical aspects and the main theory methodologies within the field of applied mechanics of machinery;
• the ability to understand problems—including those of high complexity—related to the design and implementation of mechanical and mechatronic systems.

Ability to apply knowledge and understanding:

Passing the course examination implies that the student has acquired the ability to:

• read and interpret drawings and schematics of mechanical systems;
• describe and analyze the static and dynamic behavior of mechanical systems and components;
• identify the most suitable mechanical system solutions for specific applications in industrial contexts;
• evaluate the operating conditions and limitations of key mechanical devices and systems;
• evaluate the operating and usage limits of automation systems used in mechanical installations.

Lectures for 49 hours;

Numerical exercises for 30 hours.

Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

Applied Mechanics

• Mechanisms and Machines
• Friction
• Efficiency
• Wear
• Gears
• Gear trains
• Belts, chains and joints
• Other mechanisms and fluid trasmission 

Mechanical vibrations

• Free 1 DoF
• Damped 1 DoF
• Forced 1 DoF
• Applications of forced 1 doF systems
• Free 2 doF
• Forced 2 doF
• The modeling of single dof mechanical sistems

Basics of Robotic Mechanical Systems

Multibody Systems

The frontiers of mechanics:

• Micromechanics
• Mechatronics
• Biomechanics

Introduction to Matlab for Mechanical Systems

Exercises

[1] M. CALLEGARI, P. FANGHELLA e F. PELLICANO, Meccanica applicata alle macchine, III Ed., CittàStudi ed.

[2] BELFIORE N., DI BENEDETTO A. PENNESTRÌ E.- Fondamenti di Meccanica Applicata alle Macchine, II edizione, Casa Editrice Ambrosiana.

[3] JORGE ANGELES, Dynamic Response of Linear Mechanical Systems: Modeling, Analysis and Simulation, Springer.

[4] JORGE ANGELES, Fundamentals of Robotic Mechanical Systems- Springer.

[5] Course notes of the lessons.

The exam consists of:
- a written test consisting in the study of a mechanical system with the methods studied during the course;
- an oral test based on knowledge of the contents, the relevance of the answers to the questions asked, the ownership of technical language, the ability to make connections between the contents of the program.
The final evaluation will be determined taking into account the evaluation of the two tests.
 

Learning assessment may also be carried out on-line, should the conditions require it.

To ensure equal opportunities and in compliance with current laws, interested students may request a personal interview in order to plan any compensatory and/or dispensatory measures based on educational objectives and specific needs. Students can also contact the CInAP (Centro per l’integrazione Attiva e Partecipata — Servizi per le Disabilità e/o i DSA) referring teacher within their department (https://www.cinap.unict.it/content/referenti).

The student should describe:

- The dynamics of a simple mechanical model.

- A mass-spring-damper system, both forced and unforced.

- The kinematics equations for a simple mechanical system (four-bar linkage, slider-crank, etc.).

- The wear

- Friction with an example.

- Euler-Lagrange equations and Newton-Euler equations.

- The H-D parameters.

- The fundamentals of a robotic system.

- The fundamentals of a mechatronic system.