Course detail

Additive Technologies

FSI-ZATAcad. year: 2016/2017

3D tisk kovů a plastů je v současnosti oblastí intenzivního zájmů vědců i firem. Kurz seznamuje studenty s progresivní technologií 3D tisku kovových a plastových dílů (technologie FDM, SLM, SLS, SLA, atd.) prostřednictvím prakticky orientovaných cvičení s počítačovou podporou. V laboratorních cvičení studenti ověří teoretické znalosti z přenášek. Studenti získají praktické zkušenosti s dimenzováním a volbou tolerancí dílů mechanických převodů a systémem dimenzování součástí pro 3D tisk. Získají praktické zkušenosti s tvorbou součástí a sestav, adaptivitou, parametrizací, objemovým i plošným modelováním a tvorbou výkresové dokumentace v prostředí parametrického modeláře Solidworks.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. David Paloušek, Ph.D.

Department

Institute of Machine and Industrial Design (ÚK)

Learning outcomes of the course unit

Students will be able to effectively design and realize parts using additive manufacturing systems ( "layer by layer"). Students can apply acquired experience during the solution of semester projects, theses and later in practice for development of new products. Knowledge of additive technologies incuding preparation and production of parts is in the Czech Republic unique and provides students advantage in labour market.

Prerequisites

Knowledge of CAD systems (CATIA, Creo Parametric, Rhinoceros, Inventor).

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures and software tools. Teaching is supplemented by laboratory work oriented to practical tests, measurement and data evaluation.

Assesment methods and criteria linked to learning outcomes

Course-unit credit is awarded on the following conditions: elaboration of semester project, submitting data in digital form. Examination: will be granted after successful completion of the test focused on gained theoretical knowledge.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course is to familiarize students with the desing process, manufacturing and parts production of 3D printing of polymers and metallic materials. The aim is achieved by practical verification of theoretical knowledge in computer-aided exercises and labs.

Specification of controlled education, way of implementation and compensation for absences

Attendance at lectures is recommended; attendance at practicals and laboratory practicals is obligatory and checked by the lecturer. Compensation of missed lessons depends on the instructions of course supervisor.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-KSI , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

doc. Ing. Daniel Koutný, Ph.D.
doc. Ing. David Paloušek, Ph.D.

Syllabus

1. Overview of additive technologies
2. Overview of additive technologies
3. Rapid prototyping of plastic parts
4. Basic material properties
5. Technology selective laser melting
6. The basic process parameters
7. Processing of aluminum alloys
8. Processing of titanium alloys
9. Processing of stainless steel alloys
10. Methodology of new material processing
11. Fatigue behavior of SLM parts
12. Structure of materials

Computer-assisted exercise

13 hod., compulsory

Teacher / Lecturer

Ing. Radek Vrána, Ph.D.

Syllabus

1-2: Software data processing - Autodesk Meshmixer
3-4: Software data processing - Magics, error correction
5-6: Software data processing - Magics, preparation of SLM process
7-8: Software data processing - NetFab, generating of structures
9-10: Software data processing - Topology optimization
11-13: Data preparation for the semester project