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/b7c0f7e0-1f6e-4361-bd8f-23e44a9db704

Zhu, Jianing (2023): Data underlying the PhD thesis: Development of Nickel-Titanium Shape Memory Alloys via Laser Power Bed Fusion. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b7c0f7e0-1f6e-4361-bd8f-23e44a9db704.v1

Dataset

• Materials Engineering
• Other Manufacturing
• Engineering
• Manufacturing

additive manufacturing, Nickel-Titanium (NiTi), nitinol, shape memory alloys, Superelastic material

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Jianing Zhu

The dataset is related to the PhD thesis: Development of Nickel-Titanium Shape Memory Alloys via Laser Power Bed Fusion. The research objective is to establish relationshio between laser powder bed fusion processing parameters, microstructure evolution and NiTi's functions. The research is mainly based on experiments and also employs finite element models and molecular dynamics. Data collection consists of direct experimental and simulated results and some post-treatment files. The data type includes image, txt data, raw diagram ploted by visio and origin, and COMSOL models.

• 2023-07-07 first online, published, posted

4TU.ResearchData

data formats cosist of as-follows: images/ JPEG and TIFF, programable image/ visio and origin, model/ py and comsol, raw data/ txt and csv. All data has been intergrated into g-zipped shape files based on different chapters from the PhD thesis

• 4D-SMART (grant code 19–79-30002) [more info...] the Russian Science Foundation grant

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Materials Science and Engineering.