Progress Estimation of Mixing and Grinding Process using Sound Analysis in Ultrasonic Frequency

Ekkawit Wangkanklang, Tomoya Hayashi, Yoshikazu Koike

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

Abstract

This paper presents the progress investigation of the mixing and grinding machine using sound signal analysis in a wide frequency range using a microphone. The emission sound in mixing and grinding process is related with the particle distribution of manufactured material. To provide a high accuracy and precision in the mixing ang grinding process, we proposed the ultrasonic frequency range from 20 kHz to 100 kHz. As a result, the ultrasonic frequency range can reduce the background noise and the relation between the averaged PSD (Power spectrum density) variation and the particle size distribution is clear.

Original languageEnglish
Title of host publicationITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages683-684
Number of pages2
ISBN (Electronic)9781665485593
DOIs
Publication statusPublished - 2022
Event37th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2022 - Phuket, Thailand
Duration: 2022 Jul 52022 Jul 8

Publication series

NameITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications

Conference

Conference37th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2022
Country/TerritoryThailand
CityPhuket
Period22/7/522/7/8

Keywords

  • Mixing and grinding machine
  • Power spectral density
  • Ultrasonic sensor

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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