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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ473-474
ページ数2
ISBN(電子版)9781728135755
DOI
出版ステータスPublished - 2019 10
イベント8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
継続期間: 2019 10 152019 10 18

出版物シリーズ

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

Conference

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

ASJC Scopus subject areas

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

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