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Laboratorial studies for the prediction of rock texture and hardness using vibration measurement while drilling
Abstract Rock hardness and texture are two dominant factors controlling such engineering characteristics of rocks as drillability, blastability, and machinability. They are also directly responsible for tool wear and operational costs of the drilling operation. In this paper, an attempt has been made to develop some experimental equations for the prediction of these factors using vibration measurement while drilling in the laboratory scale. For this purpose, 10 different rock types were studied. The texture coefficient, Vickers hardness, and Schmidt hammer rebound number were tested and assigned to each rock type. After that, a set of laboratory drilling tests were carried out on each sample using a new test rig developed for this purpose. As a standard method for vibration analysis, the “root mean square (RMS)” value was applied to present the vibration level in each rock type. The regression analysis revealed that, totally, the RMS values of vibration did have linear correlations with the texture coefficient, Vickers hardness, and Schmidt hammer rebound number. The most reliable correlation was found between vibration and rock texture, while the weakest one was between vibration while drilling and Schmidt hammer rebound number. Therefore, vibration while drilling can be measured based on the texture coefficient.
Laboratorial studies for the prediction of rock texture and hardness using vibration measurement while drilling
Abstract Rock hardness and texture are two dominant factors controlling such engineering characteristics of rocks as drillability, blastability, and machinability. They are also directly responsible for tool wear and operational costs of the drilling operation. In this paper, an attempt has been made to develop some experimental equations for the prediction of these factors using vibration measurement while drilling in the laboratory scale. For this purpose, 10 different rock types were studied. The texture coefficient, Vickers hardness, and Schmidt hammer rebound number were tested and assigned to each rock type. After that, a set of laboratory drilling tests were carried out on each sample using a new test rig developed for this purpose. As a standard method for vibration analysis, the “root mean square (RMS)” value was applied to present the vibration level in each rock type. The regression analysis revealed that, totally, the RMS values of vibration did have linear correlations with the texture coefficient, Vickers hardness, and Schmidt hammer rebound number. The most reliable correlation was found between vibration and rock texture, while the weakest one was between vibration while drilling and Schmidt hammer rebound number. Therefore, vibration while drilling can be measured based on the texture coefficient.
Laboratorial studies for the prediction of rock texture and hardness using vibration measurement while drilling
Bameri, A. (author) / Cheraghi Seifabad, M. (author) / Hoseinie, S. H. (author)
2021
Article (Journal)
Electronic Resource
English
BKL:
56.00$jBauwesen: Allgemeines
/
38.58
Geomechanik
/
38.58$jGeomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
56.00
Bauwesen: Allgemeines
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB18
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