Low-load diamond drill bits for subglacial bedrock sampling

Title Low-load diamond drill bits for subglacial bedrock sampling
Publication Type
Journal Article
Year
2014
Author(s) Pinlu Cao , Cheng Yang, Zhichuan Zheng, Rusheng Wang, Nan Zhang, Chunpeng Liu, Zhengyi Hu, Pavel Talalay
Journal/ Publication
Annals of Glaciology
Volume
55
Issue
68
Pagination
124-130
Abstract

Electromechanical cable-suspended drilling technology is considered one of the most feasible methods for subglacial bedrock drilling. The outstanding feature of this technology is that the bit load produced by the drill weight is usually within the range 1.5–4 kN while the recommended load for diamond drilling is 10–30 kN or even more. Therefore, searching for the diamond bits that can drill in extremely hard formations with minimal load and acceptable rates of penetration and torque is the necessary step to prove the feasibility of electromechanical subglacial drilling technology. A special test stand has been designed and constructed to examine the impregnated, surface-set, toothed and specially manufactured bionic drill bits. The results of experiments with ten types of drill bits show that the toothed diamond drill bit has the highest penetration rate of 3.18 m h−1 in very hard and abrasive granite under a 3 kN load. The torque (28.7 Nm) and power consumption (1.5 kW) of toothed drill bits are acceptable for cable-suspended drilling. The penetration rates of bionic drill bits may also be considered suitable and fall within the range 1.0–1.69 m h−1 under the lowest tested load.

DOI
10.3189/2014AoG68A001
URL
Special Collections International Workshop on Ice Drilling Technology Series, 7th International Workshop on Ice Drilling Technology
Categories Drill Heads, Subglacial Till/Bedrock Drilling
Citation Pinlu Cao , Cheng Yang, Zhichuan Zheng, Rusheng Wang, Nan Zhang, Chunpeng Liu, Zhengyi Hu, Pavel Talalay ( 2014 ) Low-load diamond drill bits for subglacial bedrock sampling. Annals of Glaciology , 55 , 68 , 124-130 . doi: 10.3189/2014AoG68A001
Lead Author
Pinlu Cao