The sensing technology of applying the acoustic emission sensor to the grinding wheel loading phenomenon

Chien Sheng Liu, Yu An Li

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

Abstract

For the grinding machine tool, the loading effect is a common phenomenon causing grinding wheel wear. This phenomenon will also cause the deterioration of the grinding wheel cutting capability, requiring a large grinding force, and it will increase the vibration and temperature of the machine. Therefore, the identification of influences from the loading effect is an important subject in grinding machines. We can know the status of a machine for manufacturing grinding through its acoustic emission (AE) signal. We hope that it can eventually be applied to the grinding tool machine for the purpose of online monitoring, achieving an AE pre-alarm system for the loading effect, reducing machine manufacturing errors, and improving grinding machine precision.

Original languageEnglish
Title of host publication2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538646434
DOIs
Publication statusPublished - 2018 Aug 27
Event14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018 - Oulu, Finland
Duration: 2018 Jul 22018 Jul 4

Publication series

Name2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018

Other

Other14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
CountryFinland
CityOulu
Period18-07-0218-07-04

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Instrumentation

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