Data underlying Chapter 4 of the PhD thesis: Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing

*** 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. AlfeldMaterials Science and Engineering Department, Faculty of Mechanical Engineering, DelftUniversity of TechnologyCorresponding author: L.M. de Almeida NietoContact Information:[e-mail] University of Technology - Faculty of Mechanical EngineeringThe Netherlands<br>***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.<br>***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.<br>***Design software***The mechanical design of the MA-XRF scanners was done using Solidworks 2024.The control system was programmed in Python 3.

*** L.M.德阿尔梅达·涅托博士学位论文第4章：面向方法学优化的柔性宏观X射线荧光光谱（MA-XRF）扫描仪设计相关数据集 ***
作者：L.M.德阿尔梅达·涅托、J.迪克·R.范德普拉斯、M.阿尔费尔德
代尔夫特理工大学机械工程学院材料科学与工程系
通讯作者：L.M.德阿尔梅达·涅托
联系方式：[e-mail]；代尔夫特理工大学机械工程学院，荷兰

***数据集概述***
本数据集涵盖L.M.德阿尔梅达·涅托博士学位论文第4章的全部相关数据，相关数据产生于2020年至2025年间。本研究项目得益于代尔夫特理工大学（TU Delft）的资助。

***文件用途***
本数据集包含本项目中搭建的两台MA-XRF扫描仪的设计与控制文件。本研究项目得益于代尔夫特理工大学（TU Delft）的资助。

***设计软件***
MA-XRF扫描仪的机械设计采用Solidworks 2024完成，控制系统通过Python 3编写。