标题:Sub-Micro Particle Matter Detection for Metal 3-D Printing Workshop
作者:Qiao, Yingying; Tao, Jifang; Zhang, Yao; Qiu, Jifang; Hong, Xiaobin; Wu, Jian; Chen, Chia-Hung
作者机构:[Qiao, Yingying; Chen, Chia-Hung] Natl Univ Singapore, Dept Biomed Engn, Singapore 117583, Singapore.; [Qiao, Yingying; Qiu, Jifang; Hong, Xiaobin; 更多
通讯作者:Chen, CH;Qiu, JF;Chen, ChiaHung
通讯作者地址:[Chen, CH]Natl Univ Singapore, Dept Biomed Engn, Singapore 117583, Singapore;[Qiu, JF]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & 更多
来源:IEEE SENSORS JOURNAL
出版年:2019
卷:19
期:13
页码:4932-4939
DOI:10.1109/JSEN.2019.2902223
关键词:Complicated parabolic collector (CPC); light scattering; Mie scattering;; particle sensor; backscattering
摘要:The metal powder as one kind of 3-D printing material is easy to diffuse into the air and suspend in the air in a long period because of its small size. Evidences show that particles with an aerodynamic diameter of less than 1.0 mu m seriously threaten human health because they can get deep into your respiratory and bloodstream system easily with the size decreasing. The conventional monitors for this fine-particle detection are either bulky or lack of accuracy in sub-micro particle detection. In this paper, we report a novel particle sensor for sub-micro, even nanoscale, particle detection. The particle sensor is based on an optical method in which an ultra-large collecting angle of scattered light is achieved by a complicated parabolic collector, and the final shape of core optical component is a cylinder with a dimension of 11 mm (height) x 25 mm (diameter). The testing results are consistent with the simulation results based on the Rayleigh scattering and Mie scattering theory model. Finally, the resolution of the particle sensor is around 7.9 mu g/m(3). It can be adopted by the applications of particle concentration detection in metal 3-D printing workshop.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067115154&doi=10.1109%2fJSEN.2019.2902223&partnerID=40&md5=2c2dd6fe2e2767cd4f10d3cf9f6e442b
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