five

MultiPoroX: Automated multi-material porosity analysis tool

收藏
DataCite Commons2025-05-14 更新2025-05-17 收录
下载链接:
https://data.uni-hannover.de/dataset/159b3c3b-b640-44ac-bcb5-8affc20632b3
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains files related to _MultiPoroX_, an automated porosity analysis tool for multi-material parts. It includes: The source code as a MATLAB file, the code as a PDF document, the user-friendly interface as a PDF document, exemplary analysis results of a multi-material sample (316L/CuCrZr) for demonstration purposes. __Used software:__ MATLAB® R2024b __Used parameters for the porosity analysis:__ * __Resizing:__ None * __Histogramm Equal:__ 0.001 * __Threshold:__ 65 ![Exemplary demonstration of an analysis result of a multi-material specimen (316L/CuCrZr)](https://data.uni-hannover.de/dataset/159b3c3b-b640-44ac-bcb5-8affc20632b3/resource/cfb27240-9488-4798-be75-ac95dd57784f/download/multiporox_multimaterial_defects_examplary_demontration.png) Exemplary demonstration of an analysis result of a multi-material specimen (316L/CuCrZr) ### References Meyer, I., Glitt, L., Lachmayer, R. (2025). *Comparative data of ImageJ and MultiPoroX* [Data set]. LUIS. https://doi.org/10.25835/l047b9xo Meyer, I., Oel, M., Ehlers, T., & Lachmayer, R. (2023). *Additive manufacturing of multi-material parts – Design guidelines for manufacturing of 316L/CuCrZr in laser powder bed fusion*. Heliyon, 9(8), e18301. https://doi.org/10.1016/j.heliyon.2023.e18301 ### Acknowledgments The project ”*Additive Fertigung multimaterieller Komponenten zur nachhaltigen Energiewandlung*” was funded by the European Regional Development Fund (ERDF) and the state of Lower Saxony – Project number ZW 7-87011865. The project ”*Major Research Instrumentation for integration of efficient effects in multi-material structural components*” was funded by the Deutsche Forschungsgemeinschaft (DFG - German Research Foundation) - Project number 445707542.
提供机构:
LUIS
创建时间:
2025-05-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作