204
Views
2
CrossRef citations to date
0
Altmetric
Reviews

A highly efficient dust removal module for hazardous materials detector – development and testing using a laboratory setup

, &
Pages 1331-1346 | Received 30 Jul 2019, Accepted 12 Oct 2019, Published online: 12 Nov 2019
 

ABSTRACT

The development and study of a protective module that removes dust from an air stream based on improved cyclone technology (cyclone separator – CSR) are described. In previous work, we developed a standard CSR and coupled it to a chemical detector. This coupling provides an excellent solution for a few hours of operation required for the detection of hazardous materials in cases of emergency. However, environmental monitoring requires to prolong operation, which requires handling large amounts of dust. This can be accomplished by improving the CSR and increasing its capability to remove fine dust particles that may interfere with the proper operation of the chemical detector and other electronic devices that are often required in environmental applications. Performance is improved by adding low airflow pumping-out from the CSR dustbin. Dust removal efficiency improves by factor 3–7 for small particles, which is valuable for prolonging outdoor operation. The improved CSR performances are constant over time, which is adventurous for prolonging operation of sensitive equipment in a harsh environment.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,223.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.