•   3D Manufacturing Technology MAP18PT04-3005 04.09.2023-05.11.2023  3 credits  (PRE20D-V) +-
    Competence objectives of the study unit
    After passing the course the student is expected to:

    - be able to identify and describe additive manufacturing methods
    - have an insight into the benefits of additive manufacturing
    - be able to analyze designs and evaluate the suitability for additive manufacturing
    - be able to understand the limitations of additive manufacturing and how they should be taken into account in the design work
    - be able to perform topology optimization
    Prerequisites
    3D Modelling
    Content of the study unit
    - Additive manufacturing methods
    - Material
    - Topology optimization
    - Support structures
    - Lattice structures
    - Finishing
    Assessment criteria
    Assessment criteria – satisfactory (1-2)
    Knows the principles used for additive manufacturing.
    Understands the principles of optimization of topology.
    Knows the principles of solid, facet and surface models.
    Knows about different types of lattice structures.
    Assessment criteria – good (3-4)
    Knows and understands the limitations and possibilities of the methods.
    Can apply topology optimization to simple objects.
    Can make topology optimized 3D models of simple objects.
    Can create models with lattice structures.
    Assessment criteria – excellent (5)
    Understands the technical and economic connections that the choice of manufacturing method entails.
    Can identify boundary conditions and apply topology optimization to complicated objects.
    Can make topology optimized 3D models of complicated objects.
    Understands and can take into account the advantages and limitations of using lattice structures.
    Name of lecturer(s)

    Kenneth Ehrström

    Learning material

    The 3D Printing Handbook. av Ben Redwood, Filemon Schöffer, Brian Garret. 3D HUBS

    Material in Moodle

    Learning methods

    Theory lessons as well as both supervised and individual exercises.

    Objects, timing and methods of assessment

    The course assessment consists of the average value for the following sub-elements
    - exam results
    - planning tasks
    - practical print task

    Teaching language

    Swedish

    Timing

    04.09.2023 - 05.11.2023

    Enrollment date range

    15.06.2023 - 03.09.2023

    Group(s)
    • PRE20D-V
    Responsible unit

    Faculty of Technology and Seafaring

    Teachers and responsibilities

    Kenneth Ehrström

    Degree Programme(s)

    Degree Programme in Industrial Management

    Campus

    Vasa, Wolffskavägen 33

    RDI share

    0.00 credits

    Share of online studies

    0.00 credits

    Assessment scale

    H-5

    Alternative methods of attainment for implementation

    Online lesson via Teams

    Exam dates and retake possibilities

    Exam week 44
    Second chance week 46
    Last chance 24.11.2023

    Timing and attendance

    4.9.2023 – 3.11.2023

    Internationa connections

    Students from partner universities within the Nordplus network have possibility to participate.

    Student's schedule and workload

    Expected work effort is 81 hours, of which 36 hours are scheduled.

    Content scheduling

    Weeks 36-38 & 41-44, 2 lessons a´ 90 min per week
    3 days workshop (26.9. - 28.9.2023) in Vaasa including practical printing

    Assessment criteria
    Assessment criteria – satisfactory (1-2)

    Know principles used for additive manufacturing.
    Understands the principles of topology optimization.
    Know the principles of solid, facet and surface models.
    Know different types of lattice structures.

    Assessment criteria – good (3-4)

    Know and understand the limitations and possibilities of the methods.
    Understands and can describe parameters that affect the print result
    Can apply topology optimization to simple objects.
    Can create models with lattice structures.

    Assessment criteria – excellent (5)

    Understands the technical and financial connections that the choice of manufacturing method involves.
    Can identify boundary conditions and apply topology optimization to complex objects.
    Can make topology optimized 3D models of complicated objects.
    Understands and can consider advantages and limitations of using lattice structures.
    Can apply and describe in detail parameters that affect the print result.