The study of the correlation between particle size and processed sound signal of Ishikawa Mixing and Grinding machine

Ekkawit Wangkanklang, Yusuke Otsuka, Kei Yamaguchi, Akira Yoshida, Yoshikazu Koike, Masahiko Okage, Shigeru Ishii, Masakazu Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Ishikawa mixing and grinding machine crushes large particles into small ones. To check the progress of mixing and grinding, the particle size monitoring is very important. Recently, we proposed the progress investigation of the Ishikawa mixing and grinding machine by sound signal processing successfully. Averaged Power Spectrum Density(PSD) values processed by measured sound signal are employed to estimate the progress remotely. It is found that PSD value also decreases as particle size becomes smaller by grinding. However, the particle size is only observed roughly by pictures. In this paper, we study the correlation between the particle size distribution of material and PSD. The particle size distribution is obtained by imaging analysis with micro scope. As a result, the correlation coefficient between particle size and sound signal is beyond 0.7.

Original languageEnglish
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages473-474
Number of pages2
ISBN (Electronic)9781728135755
DOIs
Publication statusPublished - 2019 Oct
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: 2019 Oct 152019 Oct 18

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Country/TerritoryJapan
CityOsaka
Period19/10/1519/10/18

Keywords

  • Image processing
  • Mixing and grinding machine
  • Power spectral density

ASJC Scopus subject areas

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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