Course syllabus
Course-PM
TRA260 TRA260 Unlocking the potential of additive manufacturing lp2 HT23 (7.5 hp)
Course is offered by the department of Tracks
Contact details
The tutors involved are as follows.
Examiner: Prof. Lars Nyborg, phone 7721257, e-mail: lars.nyborg@chalmers.se
Suppervisors:
Erika Tuneskog e-mail: erika.tuneskog@chalmers.se
Jitendar Kumar Tawari e-mail: jitendar@chalmers.se
Course purpose
This course consists of project assignments (Work-Packages) of 7.5 credit units. The aim is to make sure that the participants have acquired relevant in-depth knowledge in using topology optimization as a design tool for additive manufacturing.
- General knowledge in setting up simple topology optimal criteria.
- STL generation/ model transfer.
- Adaptations for manufacturing with additive manufacturing.
Schedule
Booked times slots. Mondays and Thursdays.
Course literature
The lecture hand-outs (pdf-format) will be provided only for course participants.
Via Canvas you will find downloadable documents. Only students being registered for the course will have access to these documents.
The e-sources behind the course are:
MAIN SOURCE
- Bendsoe, M. P., & Sigmund, O. (2003). Topology optimization: theory, methods, and applications. Springer Science & Business Media.
OTHER SOURCES
- Liu, S., Li, Q., Liu, J., Chen, W., & Zhang, Y. (2018). A realization method for transforming a topology optimization design into additive manufacturing structures. Engineering, 4(2), 277-285.
- Siva, G. (2022). STL files to CAD format for topology optimized structures.
- Mirzendehdel, A. M., & Suresh, K. (2016). Support structure constrained topology optimization for additive manufacturing. Computer-Aided Design, 81, 1-13.
- Liu, J., Huang, J., Zheng, Y., Hou, S., Xu, S., Ma, Y., ... & Li, L. (2023). Challenges in topology optimization for hybrid additive-subtractive manufacturing: A review. Computer-Aided Design, 103531.
Learning objectives and syllabus
Valid for all Tracks courses:
- critically and creatively identify and/or formulate advanced architectural or engineering problems
- master problems with open solutions spaces which includes to be able to handle uncertainties and limited information.
- lead and participate in the development of new products, processes and systems using a holistic approach by following a design process and/or a systematic development process.
- work in multidisciplinary teams and collaborate in teams with different compositions
- show insights about cultural differences and to be able to work sensitively with them.
- show insights about and deal with the impact of architecture and/or engineering solutions in a global, economic, environment and societal context.
- identify ethical aspects and discuss and judge their consequences in relation to the specific problem
- orally and in writing explain and discuss information, problems, methods, design/development processes and solutions
- fulfill project specific learning outcomes
- Present an application specific approach to DfAM
- Adapt design concepts for the respective metal AM technology (LB-PBF or EB-PBF)
- Screen and choose an adequate metal AM technology (LB-PBF or EB-PBF) for manufacturing the developed part, including design limitations/opportunities and cost evaluation
- Work collaboratively within a multi-disciplinary group
- Describe and understand the basic principles for topology optimization.
- Choosing and implementing optimal criteria methods for various situations of potential importance in practical engineering.
- Learn to use different software for topology optimization.
- Describe and understand the basic principles for implementation of topology optimization in additive manufacturing designs.
- Set up and model simple problems with topology optimization and prepare models for manufacturing with additive manufacturing.
Link to the syllabus on Studieportalen.
Examination form
Work-Package (during the course)
Final report based on work in WP1, WP2 and WP3.
Course summary:
| Date | Details | Due |
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