Capturing PM2.5 emissions from 3D printing via nanofiber-based air filter

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

Research output: Journal PublicationArticlepeer-review

39 Citations (Scopus)
9 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)10366/1-10366/10
JournalScientific Reports
Volume7
Issue number1
DOIs
Publication statusPublished - 4 Sep 2017

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