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26E054DPT - Digital manufacturing technologies

Course specification
Course title Digital manufacturing technologies
Acronym 26E054DPT
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition /
    The goal Introducing basic notions and concepts of flexible manufacturing: material processing technology, CNC systems, as well as software for computer-integrated/manufacturing (CAD/CAM) and 3D printing. Introducing possibilities of using robots in automation. Introducing the digitalization in Industry 4.0. Introducing the possibilities of virtual and augmented reality in production processes.
    The outcome Students will acquire the knowledge and skills to work with CNC systems, 3D printers and will be prepared for knowledge enhancement. Gaining experience in planning production with robots and programing robots in typical industrial tasks. Knowledge of the basic concepts of digitalization of production processes within Industry 4.0. Use of virtual and augmented reality in production processes.
    Contents
    URL to the subject page https://automatika.etf.bg.ac.rs/sr/13e054cnc
    Contents of lectures Fundamentals of flexible automation. Materials processing technologies. Introduction to CNC machines, CAD/CAM systems and 3D printers. Production planning using robots in industry. Creating communication infrastructure, digital twins, and content for the needs of VR/AR reality for the needs of Industry 4.0.
    Contents of exercises Mechanical design in CAD/CAM software. Exercises with CNC machines, 3D printers and a robot as an element of a flexible industrial cell. Exercises with a flexible cell with robots in a shared workspace. Configuring digital infrastructure within the framework of Industry 4.0 concepts. Creating digital twins for appropriate production processes. Programming glasses for AR/VR reality.
    Literature
    1. S. Nof, Handbook of Industrial Robotics (Original title)
    2. M. Groover, Fundamentals of Modern Manufacturing (Original title)
    3. Practical Guides for Programming ABB and Denso Robots
    4. R. Slavković, Program Control of Machines
    5. J. Fitzgerald, C. Gomes, P. Larsen, The Engineering of Digital Twins (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 2
    Methods of teaching Lectures, lab work, individual and/or group projects, consultation
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper 30
    Practical lessons 70 Oral examination
    Projects
    Colloquia
    Seminars