Wear Prediction of Rock Drill Bits Based on Geomechanical Properties of Rocks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08598-8.pdf
Reference49 articles.
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2. Rafezi, H.; Hassani, F.: Drilling signals analysis for tricone bit condition monitoring. Int. J. Min. Sci. Technol. 31, 187–195 (2021)
3. Zou, D.: Theory and Technology of Rock Excavation for Civil Engineering. Springer, Singapore (2017)
4. Ivanicová, L.; Lazarová, E.; Kruľáková, M.; Labaš, M.; Feriancikova, K.; Behunová, D.: Indirect prediction of drill bit wear in andesite drilling. In: 2018 19th International Carpathian Control Conference (ICCC), IEEE, pp. 79–84 (2018)
5. Majeed, Y.; Bakar, M.A.; Butt, I.: Abrasivity evaluation for wear prediction of button drill bits using geotechnical rock properties. Bull. Eng. Geol. Env. (2019). https://doi.org/10.1007/s10064-019-01587-y
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