Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data-Reference-Cited by-同舟云学术

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Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data

Published:2024-06 Issue: Volume:88 Page:449-463
ISSN:0141-6359
Container-title:Precision Engineering
language:en
Short-container-title:Precision Engineering

Author:

Bellens Simon^ORCID,Guerrero Patricio^ORCID,Janssens Michel^ORCID,Vandewalle Patrick^ORCID,Dewulf Wim^ORCID

Funder

Flanders Innovation & Entrepreneurship

Publisher

Elsevier BV

Reference42 articles.

1. CT-based quality optimization of laser sintering of polyamide-12;Pavan,2018

2. Using X-ray computed tomography to improve the porosity level of polyamide-12 laser sintered parts;Dewulf;CIRP Ann - Manuf Technol,2016

3. Geometrical metrology for metal additive manufacturing;Leach;CIRP Ann,2019

4. Review on additive manufacturing and non-destructive testing;Segovia Ramírez;J Manuf Syst,2023

5. Surface roughness of polyamide 12 parts manufactured using selective laser sintering;Petzold;Polym Test,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling Algorithms for Empowering Automated Manufacturing with Industrial X-Ray Computed Tomography;International Journal of Automation Technology;2024-09-05

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