Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners

Wei Chen; Andrew Tan; Qing Pan; Hao Zheng; Meijie Chen; Jiangyi Qin

doi:10.1007/978-981-99-8498-5_28

Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners

Wei Chen^*, Andrew Tan, Qing Pan, Hao Zheng, Meijie Chen, Jiangyi Qin

^*Corresponding author for this work

School of Intelligent Manufacturing Ecosystem

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-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 language	English
Title of host publication	Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
Editors	Andrew Tan, Fan Zhu, Haochuan Jiang, Kazi Mostafa, Eng Hwa Yap, Leo Chen, Lillian J. A. Olule, Hyun Myung
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	363-370
Number of pages	8
ISBN (Print)	9789819984978
DOIs	https://doi.org/10.1007/978-981-99-8498-5_28
Publication status	Published - 2024
Event	International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023 - Suzhou, China Duration: 22 Aug 2023 → 23 Aug 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	845
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023
Country/Territory	China
City	Suzhou
Period	22/08/23 → 23/08/23

Keywords

Grinding mill
Liner wear
Sensor
Shell liner
Wear reconstruction

Access to Document

10.1007/978-981-99-8498-5_28

Cite this

Chen, W., Tan, A., Pan, Q., Zheng, H., Chen, M., & Qin, J. (2024). Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners. In A. Tan, F. Zhu, H. Jiang, K. Mostafa, E. H. Yap, L. Chen, L. J. A. Olule, & H. Myung (Eds.), Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023 (pp. 363-370). (Lecture Notes in Networks and Systems; Vol. 845). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-8498-5_28

Chen, Wei ; Tan, Andrew ; Pan, Qing et al. / Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners. Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023. editor / Andrew Tan ; Fan Zhu ; Haochuan Jiang ; Kazi Mostafa ; Eng Hwa Yap ; Leo Chen ; Lillian J. A. Olule ; Hyun Myung. Springer Science and Business Media Deutschland GmbH, 2024. pp. 363-370 (Lecture Notes in Networks and Systems).

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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 Andrew Tan 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",

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Chen, W, Tan, A, Pan, Q, Zheng, H, Chen, M & Qin, J 2024, Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners. in A Tan, F Zhu, H Jiang, K Mostafa, EH Yap, L Chen, LJA Olule & H Myung (eds), Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023. Lecture Notes in Networks and Systems, vol. 845, Springer Science and Business Media Deutschland GmbH, pp. 363-370, International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023, Suzhou, China, 22/08/23. https://doi.org/10.1007/978-981-99-8498-5_28

Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners. / Chen, Wei; Tan, Andrew; Pan, Qing et al.
Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023. ed. / Andrew Tan; Fan Zhu; Haochuan Jiang; Kazi Mostafa; Eng Hwa Yap; Leo Chen; Lillian J. A. Olule; Hyun Myung. Springer Science and Business Media Deutschland GmbH, 2024. p. 363-370 (Lecture Notes in Networks and Systems; Vol. 845).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners

AU - Chen, Wei

AU - Tan, Andrew

AU - Pan, Qing

AU - Zheng, Hao

AU - Chen, Meijie

AU - Qin, Jiangyi

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - Grinding mill

KW - Liner wear

KW - Sensor

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KW - Wear reconstruction

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T3 - Lecture Notes in Networks and Systems

SP - 363

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BT - Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023

A2 - Tan, Andrew

A2 - Zhu, Fan

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A2 - Chen, Leo

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A2 - Myung, Hyun

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023

Y2 - 22 August 2023 through 23 August 2023

ER -

Chen W, Tan A, Pan Q, Zheng H, Chen M, Qin J. Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners. In Tan A, Zhu F, Jiang H, Mostafa K, Yap EH, Chen L, Olule LJA, Myung H, editors, Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 363-370. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-8498-5_28

Development of a Wear Sensor for Monitoring Grinding Mill Shell Liners

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