Data underlying the PhD research project: Space-time topology optimization for multi-axis additive manufacturing

doi:10.4121/83b0d844-73c9-4b33-9f60-37f692618ff2.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/83b0d844-73c9-4b33-9f60-37f692618ff2
Datacite citation style:
Wu, Kai (2025): Data underlying the PhD research project: Space-time topology optimization for multi-axis additive manufacturing. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/83b0d844-73c9-4b33-9f60-37f692618ff2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
by Kai Wu orcid logo

This repository contains the raw materials for Kai Wu's PhD project at Delft University of Technology, including home-made codes, figures, slides and so on. The data are classified in accordance with the chapters in the PhD dissertation, with 'readme' files included in each folder for additional details.

history
  • 2025-01-08 first online, published, posted
publisher
4TU.ResearchData
format
Zipped files
funding
  • China Scholarship Council (CSC)
organizations
TU Delft, Faculty of Mechanical Engineering, Department of Precision and Microsystems Engineering.

DATA - restricted access

Reason

This repository is intended to store raw materials to be accessed within the research group. Code and data designated for open-source release will be organized and uploaded separately.

End User Licence Agreement

The Licensor grants the User a non-exclusive, non-transferable, revocable license to access and use the Dataset solely for academic research and educational use. This license is restricted to approved Users who have been granted explicit access by the Licensor.

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The Dataset must not be used for commercial purposes without prior written consent from the Licensor.

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The Dataset is provided only to Users who have been granted explicit access by the Licensor.

The User must take reasonable steps to protect the Dataset from unauthorized access, copying, or distribution.

The Dataset is provided "as is," without any warranties, express or implied, including but not limited to fitness for a particular purpose, accuracy, or completeness. The Licensor shall not be held liable for any damages arising from the use of the Dataset.

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