Digital Skills for Additive-Manufacturing

Recommended Prerequisites

Not applicable.

Teaching Methods

The teaching methodology is based on the presentation of contents and discussion of practical cases in an interactive way with students.

Small projects carried out by the students and their presentation and discussion conclude the learning and evaluation cycle.

Learning Outcomes

Acquire effective skills in the planning and execution of additive manufacturing tasks using robotic systems based on WAAM and LMD.

Trainees will have contact with the main phases of the additive manufacturing cycle: design, simulation and testing in digital twin and in real systems.

Work Placement(s)

No

Syllabus

1. Approach to robotic systems based on WAMM and LMD

2. Data collection and simulation

3. Printing parameters

4. Importance of databases and artificial intelligence in this type of systems

5. Cognitive aspects.

Head Lecturer(s)

Diogo Mariano Simoes Neto

Assessment Methods

Assessment
Small projects carried out by the students and their presentation and discussion conclude the learning and evaluation cycle: 100.0%

Bibliography

Em cada edição será fornecido um conjunto de literatura atual e a lecionação será suportada em recursos audiovisuais adaptados ao módulo.