19M054CNC - Computer controled agile production
Course specification | ||||
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Course title | Computer controled agile production | |||
Acronym | 19M054CNC | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
Type of study | master academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | elective | |
Condition | - | |||
The goal | Introduces students to basic notions and concepts of flexible manufacturing: material processing technology, CNC systems, and FMS, as well as software for computer integrated design/manufacturing (CAD/CAM) and 3D printing. Introducing possibilities of using robots in flexible automation. | |||
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 programming robots in typical industrial tasks. | |||
Contents | ||||
URL to the subject page | https://automatika.etf.bg.edu.rs/sr/13e054cnc | |||
URL to lectures | https://teams.microsoft.com/l/team/19%3APAQY3rfUl5M7usD3pU4oq1dfmIgkE84tQoywIiwcUMk1%40thread.tacv2/conversations?groupId=04fe3d61-c5d0-4b59-b56f-ff320612cfe9&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba | |||
Contents of lectures | Fundamentals of flexible automation. CNC machines, additive manufacturing (3D printing), robots, transport and quality control systems. Technology of material processing. Computer Numerically Controlled (CNC) Machines – principles and programing. CAD/CAM programming tools. Fundamentals of 3D printing machines. Production planning. Robot control: palletizing, assembly, quality control. | |||
Contents of exercises | CAD/CAM software tools. Lab work - CNC machines, 3D printers, robots, and FMC. Hands-on experiments with industrial robots. | |||
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, projects. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 30 | |
Practical lessons | 70 | Oral examination | 0 | |
Projects | 0 | |||
Colloquia | 0 | |||
Seminars | 0 |