Active thermography for quality assurance of 3D-printed polymer structures-Reference-Cited by-同舟云学术

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Active thermography for quality assurance of 3D-printed polymer structures

Published:2019-11-19 Issue:1 Volume:18 Page:50-71
ISSN:1768-6733
Container-title:Quantitative InfraRed Thermography Journal
language:en
Short-container-title:Quantitative InfraRed Thermography Journal

Author:

Metz Christian¹,Franz Philipp¹,Fischer Christian²,Wachtendorf Volker³,Maierhofer Christiane¹

Affiliation:

1. Department for Non-Destructive Testing, Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany

2. Center for Additive Production (CAP), SKZ - Das Kunststoff-Zentrum, Würzburg, Germany

3. Department for Safety of Structures, Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany

Funder

Bundesministerium für Wirtschaft und Energie

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://www.tandfonline.com/doi/pdf/10.1080/17686733.2019.1686896

Reference26 articles.

1. A Review of Additive Manufacturing

2. Additive manufacturing: technology, applications and research needs

3. Comparison of different additive manufacturing methods using computed tomography

4. Using X-ray computed tomography to improve the porosity level of polyamide-12 laser sintered parts

Cited by 7 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. Flash thermography to detect and evaluate impacts in polycarbonate parts produced by additive manufacturing;NDT & E International;2024-09

2. Deep learning augmented infrared thermography for unmanned aerial vehicles structural health monitoring of roadways;Automation in Construction;2023-04

3. Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging;Sensors;2022-07-25

4. Qualitative evaluation of 3D printed materials’ structure using active infrared thermography and signal analysis based on LSTM neural networks;International Journal of Applied Electromagnetics and Mechanics;2022-07-05

5. An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data;Materials;2022-05-23

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