Computational investigation toward selective collection of water particles containing odorous molecules by electrostatic spraying

Jin Muraoka, Kenichi Funamoto, Mariko Seno, Satoshi Arimoto, Ken Shimono, Satoshi Suzuki, Yoshio Mitsutake, Tetsuya Maekawa, Toshihiko Yoshioka, Toshiyuki Hayase

Research output: Contribution to journalArticlepeer-review

Abstract

The necessity of odor sensing has been increasing from environmental and health standpoints. Here, we propose the novel concept of a small device which can select odor molecules based on electrostatic spraying. For high selectivity of the target gas or odor, we conducted computational fluid dynamics coupled with an electrostatic field, as well as measurements by particle image velocimetry and anemometry. The computational model successfully reproduced characteristic features of ionic wind. Different trajectories of charged particles were computationally obtained owing to their electrical mobility. The results imply that different materials might be separated by the arrangement of the collecting electrode.

Original languageEnglish
Pages (from-to)35-41
Number of pages7
JournalJournal of Electrostatics
Volume83
DOIs
Publication statusPublished - 2016 Oct 1

Keywords

  • Atomizer
  • Ionic wind
  • Multiphysics
  • Odor separation
  • Particle image velocimetry

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biotechnology
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Electrical and Electronic Engineering

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