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- Stenström, Christer, et al.
(författare)
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Condition monitoring of cracks and wear in mining mills using water squirter ultrasonics
- 2015
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Ingår i: International Journal of Condition Monitoring. - : British Institute of Non-Destructive Testing (BINDT). - 2047-6426. ; 5:1, s. 2-8
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Tidskriftsartikel (refereegranskat)abstract
- Mining mills are continuously exposed to loads that give rise to wear of the liners, as well as fatigue and crack development in the steel shell. The feasibility of using water squirter ultrasonics for condition monitoring of the shell and the lining of mining mills during operation has been studied in this paper. This method will make it possible to monitor cracks in mining mills without stopping them, which can result in significant monetary savings due to less downtime and increased product quality. The practical requirements of such a system were first analysed, which shows that it is possible to achieve the spatial resolution of 1 × 1 mm, using a pulse-echo set-up with a pulse repetition frequency of approximately 6 kHz. Experiments were then performed on a lab-scale prototype, where typical defects were introduced. The results show that it is possible to detect and image internal defects down to a size of around 1 × 0.4 mm.
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| 2. |
- Stenström, Christer, et al.
(författare)
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Mining mill condition monitoring using water jet ultrasonics
- 2013
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Ingår i: 2012 IEEE International Ultrasonics Symposium (IUS). - Piscataway, NJ : IEEE Communications Society. ; , s. 1913-1916
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Konferensbidrag (refereegranskat)abstract
- In this paper we investigate the feasibility of using a water jet ultrasound scanning system for condition monitoring of the shell of a rotating mining mill. The practical requirements of such a system were first analyzed, which shows that it is possible to achieve the spatial resolution of 1±1 mm, using a pulse-echo setup with a pulse repetition frequency of approximately 6 kHz. Experiments were then performed on a lab-scale prototype, where typical defects were introduced. The results show that it is possible to detect and image internal defects down to a size of around than 1 ± 0.4 mm.
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