Selected topics in mechanical engineering (MSK900)

The course gives PhD students an opportunity to gain a deeper insight into mechanical engineering topics related to their own PhD projects. The curriculum is set to match the research area of the PhD project together with the candidate’s supervisors.


Course description for study year 2024-2025. Please note that changes may occur.

Facts

Course code

MSK900

Version

1

Credits (ECTS)

10

Semester tution start

Spring, Autumn

Number of semesters

1

Exam semester

Spring, Autumn

Language of instruction

English

Offered by

Content

The course covers advanced knowledge within different specializations in mechanical engineering. Relevant lectures / courses / seminars / conferences are put together to cover topics that harmonize with the chosen PhD thesis and course syllabus. The topics can include, but is not limited to, the following topics:

    • Structural integrity - understanding the behavior of materials under stresses. This includes fracture mechanics, welding-induced residual stresses, fatigue damage accumulation modeling, life-time prediction and life-extension analysis.
    • Mechanical design and simulation - use of computational tools to gain insight and optimize performance. This includes finite element modelling of forces in structures and welds, system dynamics, multi-body dynamics, statistical methods and machine learning.
    • Advanced manufacturing and operations - ensuring efficient and sustainable manufacturing and operations through lean manufacturing and waste minimization, additive manufacturing, supply chain optimization, circularity assessment, risk-based and reliability-based inspection and maintenance.

Learning outcome

  • A foundational understanding of core principles and methodologies associated with the selected research field
  • In-depth knowledge of the chosen topic in the syllabus and current methods that can be used to shed light on questions related to the topic
  • Ability to perform literature reviews and describe learning objectives, as well as present own and previously published research results to an audience

Required prerequisite knowledge

None

Recommended prerequisites

Basic background in design of machine components and use of 3D modeling tools; Knowledge of programming tools in engineering such as MATLAB, Solid mechanics and structural integrity concepts. Knowledge about software use for green transition and circular economy focused product develop and design optimization, statistical analysis, life cycle assessment, and operational research techniques.

Exam

Form of assessment Weight Duration Marks Aid
Report 1/1 8 Weeks Passed / Not Passed

No re-sit opportunities are offered for the report. Students who do not pass the report can retake it the next time the course is held. The report is assessed on an individual basis.

Course teacher(s)

Course teacher:

Dimitrios Pavlou

Course teacher:

Ove Mikkelsen

Course coordinator:

Knut Erik Teigen Giljarhus

Head of Department:

Mona Wetrhus Minde

Course teacher:

Vidar Folke Hansen

Course teacher:

Hirpa Gelgele Lemu

Course teacher:

Chandima Ratnayake Mudiyanselage

Method of work

The course is conducted as a combination of individual lectures, academic discussions, self-study with student presentations, colloquia, seminars and/or project work.

Open for

The course is open for students registered for PhD study.

Course assessment

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

Search for literature in Leganto