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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

Termin

Information for Autumn 2024 Start 26 Aug 2024 programme students

Course location

KTH Campus

Duration
26 Aug 2024 - 27 Oct 2024
Periods
P1 (6.0 hp)
Pace of study

50%

Application code

50260

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]

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted
Contact

Malin Åkermo (akermo@kth.se)

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

Introduction to process modelling, matrix flow, cross-linking, viscosity, permeability, Darcy’s law, drapability, heat transfer modelling, numerical implementation, experimental verification and validation.

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

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • LAB1 - Laboratory Work, 4.0 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 2.0 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.

Other requirements for final grade

Assignment (LAB; 4 university credits) and
written exam (TEN; 2 university credits)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

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

Main field of study

This course does not belong to any Main field of study.

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Malin Åkermo (akermo@kth.se)