Introduction to process modelling, matrix flow, cross-linking, viscosity, permeability, Darcy’s law, drapability, heat transfer modelling, numerical implementation, experimental verification and validation.
SD2415 Process Modelling for Composite Manufacturing 6.0 credits
Methods for modelling and optimisation of processes used for manufacturing of polymer composites.
Information per course offering
Information for Autumn 2025 Start 25 Aug 2025 programme students
- Course location
KTH Campus
- Duration
- 25 Aug 2025 - 24 Oct 2025
- Periods
Autumn 2025: P1 (6 hp)
- Pace of study
50%
- Application code
50471
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Min: 10
- Target group
- Open for: CFATE, CMAST, CMATD årskurs 4. TAEEM, TFORM, TMRSM as long as it can be included in your program.
- Planned modular schedule
- [object Object]
- Schedule
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus SD2415 (Spring 2022–)Headings with content from the Course syllabus SD2415 (Spring 2022–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
The course aims to provide the basic knowledge required to describe and model the physical parameters governing manufacturing of fibre composites and experience of experimental design to verify developed models.
After finished course the participant should be able to:
- describe the physical phenomena and material properties which actively affect manufacturing of composite materials
- extract and use information from scientific literature
- describe the most important process parameters and manufacturing processes using basic physical laws and constitutive equations
- perform relevant simplifications of laws and equations in order to develop simplified models
- implement and develop models in suitable code (MATLAB or FEM) and perform simulations
- design experiments for model verification
- analyse experimental results and make conclusions on the validity and accuracy of the developed models
- use developed models for basic process optimisation
Literature and preparations
Specific prerequisites
SD2410 or SD2414
English B / English 6
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
Grading scale
A, B, C, D, E, FX, F
Examination
- TEN1 - Examination, 2.0 credits, grading scale: A, B, C, D, E, FX, F
- LAB1 - Laboratory Work, 4.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
If the course is discontinued, students may request to be examined during the following two academic years.
Other requirements for final grade
Assignment (LAB; 4 university credits) and
written exam (TEN; 2 university credits)
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Education cycle
Second cycle