The influence of mineral contents of granitic rocks on the acoustic emission during single contact abrasivity test

Theme:Innovations in Applied and Theoretical Rock MechanicsCore drilling is a fundamental process in the mineral exploration industry. As deep exploration in hard rocks is accelerated due to the depletion of near ground mineral resources, deep-drilling operations need to reduce their reliance in operators experience and begin to implement new technologies in order to increase efficiency and cost-effectiveness of the overall process. Currently, lack of real-time information on the bit/rock interaction is a major problem. Therefore the mechanism behind the acoustic emission, which is a proven technique for remote monitoring, generation in mechanical rock cutting must be understood in order to provide real time information about the rock. This paper aims to identify the influence of mineral composition of granitic rocks on the acoustic emission (AE) during rock abrasivity test with a single contact tool and to evaluate the feasibility of AE as a means to infer Cerchar Abrasivity Index (CAI). Single contact tool will provide precise and accurate description of the source of AE. To provide constant grooving speed Cerchar apparatus was modified to monitor AE during rock/tool interaction. Tests on the modified Cerchar apparatus are carried out under the static load of 70N and cutting speed of 1 mm/s. A Scanning Electron Microscope (SEM) is utilized to visualize the groove in the rock and to identify the mineral composition through Back-Scattered Electrons (BSE) reflected from the rock sample. Based on the microscope images, it was found that biotite shows a larger groove area and plate-like fractures accompanied with burst-type AE signal, whereas plagioclase and quartz, which are characterized by similar hardness and BSE brightness, possess shattered-like fractures and more continuous-type AE signals. In addition, a-value of the Gutenberg-Richter scale has been found to well correlate with Cerchar Abrasivity Index (CAI).S. Perez and M. Karaku