@inproceedings{ed2341e969ee416c86cf9e96531016bf,
title = "Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners",
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.",
keywords = "Grinding mill, Liner wear, Sensor, Shell liner, Wear reconstruction",
author = "Wei Chen and Tan, {Andrew Huey Ping} and Qing Pan and Hao Zheng and Meijie Chen and Jiangyi Qin",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023 ; Conference date: 22-08-2023 Through 23-08-2023",
year = "2024",
doi = "10.1007/978-981-99-8498-5_28",
language = "English",
isbn = "9789819984978",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "363--370",
editor = "Andrew Tan and Fan Zhu and Haochuan Jiang and Kazi Mostafa and Yap, {Eng Hwa} and Leo Chen and Olule, {Lillian J. A.} and Hyun Myung",
booktitle = "Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023",
}