Porosity prediction in laser-based powder bed fusion of polyamide 12 using infrared thermography and machine learning-Reference-Cited by-同舟云学术

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Porosity prediction in laser-based powder bed fusion of polyamide 12 using infrared thermography and machine learning

Published:2024-04 Issue: Volume:85 Page:104176
ISSN:2214-8604
Container-title:Additive Manufacturing
language:en
Short-container-title:Additive Manufacturing

Author:

Hofmann Joseph^ORCID,Li Ziqi^ORCID,Taphorn Kirsten^ORCID,Herzen Julia,Wudy Katrin

Publisher

Elsevier BV

Reference50 articles.

1. The role of viscoelastic adhesive contact in the sintering of polymeric particles;Lin;J. Colloid Interface Sci.,2001

2. Bubble dissolution in molten polymers and its role in rotational molding;Kontopoulou;Polym. Eng. Sci.,1999

3. In situ process monitoring in laser-based powder bed fusion of polyamide 12 using thermal imaging;Hofmann;Int J. Adv. Manuf. Technol.,2022

4. Predicting mechanical property plateau in laser polymer powder bed fusion additive manufacturing via the critical coalescence ratio;Chatham;Mater. Des.,2021

5. Correlation of process parameters with mechanical properties of laser sintered PA12 parts;Hofland;Adv. Mater. Sci. Eng.,2017

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1. A novel machine learning-based approach for in-situ surface roughness prediction in laser powder-bed fusion;Additive Manufacturing;2024-07

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