Course detail
Additive Technologies
FSI-ZAT-AAcad. year: 2022/2023
The course introduces students to the progressive area of additive manufacturing of metal, plastic and construction products. Students will obtain practical experience with production simulation and data preparation for 3D printing. Attention is paid to understanding of design rules, technological limits and production chain of additive manufacturing. Course integrates the knowledge acquired in courses focused on materials science, CAD modeling, FEA and simulation and design of machines and mechanisms.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Offered to foreign students
Learning outcomes of the course unit
Knowledge of methods of preparing production data for additive manufacturing.
Knowledge of simulation software tools for verification of manufacturability.
Ability to analyze manufacturing problems and defects.
Ability to prevent manufacturing defects by appropriate design.
Knowledge of principles of additive technologies at engineering level.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course-unit credit is awarded on the following conditions: presentation of results achieved in laboratory exercises (max. 60 points).
Examination conditions:
- passing the theoretical test (max. 40 points),
- a total of up to 100 points can be earned,
- the resulting classification is determined by the ECTS scale.
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
GEBHARDT, A., KESSLER, J., THURN, L. 3D Printing - Understanding Additive Manufacturing (2nd Edition). Hanser Publishers. 2019. Dostupné z: https://app.knovel.com/hotlink/toc/id:kpDPUAME04/printing-understanding/printing-understanding
KLOSKI, Liza Wallach a Nick KLOSKI. Začínáme s 3D tiskem. Brno: Computer Press, 2017. ISBN 978-802-5148-761.
Elearning
Classification of course in study plans
- Programme N-ENG-A Master's 2 year of study, winter semester, compulsory
- Programme N-KSI-P Master's 2 year of study, winter semester, compulsory
- Programme N-PDS-P Master's 2 year of study, winter semester, compulsory
- Programme LLE Lifelong learning
branch CZV , 1 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Process of additive production and individual technologies - metals, plastics, building materials.
- Design rules for AM parts.
- Additive production of metal parts - production chain, material, production control, physical principle, energy dissipation, support
- Additive production of metal parts - manufacturing defects, post-processing, properties of materials, influence of orientation.
- Additive production of plastic parts - technology and physical nature, materials, sizing, differences in technology, suitability of use, manufacturing defects, mechanical properties.
- Unconventional structural AM elements - periodic minimum surfaces, lattice structures, mechanical properties, dynamic properties, production limits.
- Case studies, practical examples, meaningful use of AM, impact on the economy.
Laboratory exercise
Teacher / Lecturer
Syllabus
- Evaluation and analysis of mechanical properties of samples
- Manufacturing of polymer part by FDM and SLA technology
- Verification of mechanical properties of the part by means of a tensile testing
- Introduction of a laboratory for additive metal production
- Post-processing of additively produced metal parts
- 3D digitization of manufactured part, evaluation of weight and relative density
- Comparison of geometric deviations of the product and reference CAD model
Computer-assisted exercise
Teacher / Lecturer
Syllabus
- Basic processing of polygonal data
- Support and generation of production data
- Design rules for designing additively manufactured parts
- Shape optimization of the part
- Simulation of additive production process
- Prediction of deformations on specific manufactured parts
- Comparison of production deviations of real part and previous simulation
Elearning