Data underlying Chapter 4 of the PhD thesis: Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing
DOI: 10.4121/8ce26a28-20a4-4bd5-88ff-36faf18a9e25
Datacite citation style
Dataset
Licence CC BY-NC 4.0
*** L.M. de Almeida Nieto Dissertation Chapter 4: On the Design of flexible MA-XRF scanners for methodological optimization Related Data***
Authors: L.M. de Almeida Nieto, J. Dik R. Van de Plas, M. Alfeld
Materials Science and Engineering Department, Faculty of Mechanical Engineering, Delft
University of Technology
Corresponding author: L.M. de Almeida Nieto
Contact Information:
luisdealmeida95@gmail.com
Delft University of Technology - Faculty of Mechanical Engineering
The Netherlands
***General Introduction***
This dataset contains all the data relevant to Chapter 4 of L.M. de Almeida Nieto's doctoral dissertation, produced between 2020 and 2025.
This research project was made possible by by funding from TU Delft.
***Purpose of the files***
These are the design and control files for the two MA-XRF scanners built during the project.
This research project was made possible by by funding from TU Delft.
***Design software***
The mechanical design of the MA-XRF scanners was done using Solidworks 2024.
The control system was programmed in Python 3.
History
- 2025-03-25 first online, published, posted
Publisher
4TU.ResearchDataFormat
part 3d models/.sldprt , 3d print files/.stl, part drawings/.slddrw or .dxf or .pdf , 3d assembly/.sldasmOrganizations
TU Delft, Faculty of Mechanical Engineering, Department of Materials Science and EngineeringTU Delft, Faculty of Mechanical Engineering, Delft Center for Systems and Control
DATA
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- 1,510 bytesMD5:
725fc63bdfbd6d8b9097b3f2e95b7709
README.txt - 27,431,001 bytesMD5:
868fe4a0314a992620289b17226b1476
deAlmeida_Chapter4.zip -
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