Syllabus for Structural Optimisation for Additive Manufacturing I

Strukturoptimering för additiv tillverkning I

A revised version of the syllabus is available.

Syllabus

  • 5 credits
  • Course code: 1TM103
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Materials Engineering A1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2020-02-25
  • Established by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2020
  • Entry requirements: 120 credits in science/engineering including solid mechanics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
  • Responsible department: Department of Materials Science and Engineering

Learning outcomes

On completion of the course the student shall be able to:

  • identify different classes of structural optimization addressing sizing, shape, and topology,
  • explain the concept of design variables, constraints, and objective functions in anoptimization problem,
  • formulate engineering design problems for simple load-bearing structures as optimization problems,
  • numerically solve simple size-optimization problems,
  • implement optimization algorithms.

Content

Objective functions, constraints, different optimization algorithms, numerical implementation and problem solving.

Instruction

Lectures, laboratory work and project work.

Assessment

Project work (2 credits), assignment (2 credits) and laboratory work (1 credit).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Syllabus Revisions

Reading list

Reading list

Applies from: Autumn 2020

Some titles may be available electronically through the University library.