Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners

Wei Chen, Andrew Huey Ping Tan, Qing Pan, Hao Zheng, Meijie Chen, Jiangyi Qin

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Shell liners are critical components during the operation of the grinding mills. Continuous wear on the shell liners significantly impact on the grinding dynamics and associated throughput. This study aims to develop a wear sensor for embedding into the shell liner casting materials for live wear tracking during mill operation. Wear was measured using multiple closed-circuit loops embedded into the sensor board. A wireless transmitter was also coupled with the wear sensor to transmit the wear data to a cloud platform. Results indicated non-linear wear performance of the shell liner during campaign. The wear distribution on the shell was also reconstructed-based wear measurements and laser scanning results. Outcome of the study will improve the overall reliability of the grinding mill during operation.

Original languageEnglish
Title of host publicationAdvances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
EditorsAndrew Tan, Fan Zhu, Haochuan Jiang, Kazi Mostafa, Eng Hwa Yap, Leo Chen, Lillian J. A. Olule, Hyun Myung
PublisherSpringer Science and Business Media Deutschland GmbH
Pages363-370
Number of pages8
ISBN (Print)9789819984978
DOIs
Publication statusPublished - 2024
EventInternational Conference on Intelligent Manufacturing and Robotics, ICIMR 2023 - Suzhou, China
Duration: 22 Aug 202323 Aug 2023

Publication series

NameLecture Notes in Networks and Systems
Volume845
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent Manufacturing and Robotics, ICIMR 2023
Country/TerritoryChina
CitySuzhou
Period22/08/2323/08/23

Keywords

  • Grinding mill
  • Liner wear
  • Sensor
  • Shell liner
  • Wear reconstruction

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