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Capturing PM2.5 Emissions from 3D Printing via Nanofiber-based Air Filter

Rao, Chengchen; Gu, Fu; Zhao, Peng; Sharmin, Nusrat; Gu, Haibing; Fu, Jianzhong

Authors

Chengchen Rao

Fu Gu

Nusrat Sharmin

Haibing Gu

Jianzhong Fu



Abstract

This study investigated the feasibility of using polycaprolactone (PCL) nanofiber-based air filters to capture PM2.5 particles emitted from fused deposition modeling (FDM) 3D printing. Generation and aggregation of emitted particles were investigated under different testing environments. The results show that: (1) the PCL nanofiber membranes are capable of capturing particle emissions from 3D printing, (2) relative humidity plays a signification role in aggregation of the captured particles, (3) generation and aggregation of particles from 3D printing can be divided into four stages: the PM2.5 concentration and particles size increase slowly (first stage), small particles are continuously generated and their concentration increases rapidly (second stage), small particles aggregate into more large particles and the growth of concentration slows down (third stage), the PM2.5 concentration and particle aggregation sizes increase rapidly (fourth stage), and (4) the ultrafine particles denoted as 鈥渂uilding unit鈥 act as the fundamentals of the aggregated particles. This work has tremendous implications in providing measures for controlling the particle emissions from 3D printing, which would facilitate the extensive application of 3D printing. In addition, this study provides a potential application scenario for nanofiber-based air filters other than laboratory theoretical investigation.

Journal Article Type Article
Publication Date Sep 4, 2017
Journal Scientific Reports
Print ISSN 2045-2322
Electronic ISSN 2045-2322
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 7
Issue 1
Article Number 10366
APA6 Citation Rao, C., Gu, F., Zhao, P., Sharmin, N., Gu, H., & Fu, J. (2017). Capturing PM2.5 Emissions from 3D Printing via Nanofiber-based Air Filter. Scientific Reports, 7(1), https://doi.org/10.1038/s41598-017-10995-7
DOI https://doi.org/10.1038/s41598-017-10995-7
Publisher URL https://www.nature.com/articles/s41598-017-10995-7
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0



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