Investigation of the rock drilling performance of rotary core drilling

Sakız, Utku; Aydın, Hamit; Yaralı, Olgay

doi:10.1007/s10064-021-02534-6

Cited by 10 publications

(3 citation statements)

References 42 publications

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“…Through data collection, a total of 188 sets of diamond coring bit data consisting of drilling parameters, drillability parameters, and mechanical parameters were gathered [14]. The drilling parameters include drilling force (F), torque (T), rotation speed (N), rate of penetration (V), The drillability parameters include specific energy (SE) and drillability index (Id) and drilling rate index (DRI), and the IOP Publishing doi:10.1088/1742-6596/2738/1/012001 5 mechanical parameters include uniaxial compressive strength (UCS), tensile strength (TS), Cerchar abrasion index (CAI) and Leeb hardness (HL).…”

Section: Rock Mass Drillability Classification and Identificationmentioning

confidence: 99%

Drillability classification and identification for rock mass based on machine learning

Wu,

Wang

2024

J. Phys.: Conf. Ser.

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In order to better apply the drilling method to underground mines, rock drillability classification and identification in situ by drilling process monitoring technology is a convenient and effective method to achieve the rock mass drillability. In this study, a database was established based on 188 groups of drilling parameters, drillability parameters and rock mechanics parameters. By analyzing the correlation between mechanical parameters and drillability parameters, rock drillability was classified using the TOPSIS-RMR method. Then, drilling force (F), torque (T), rotation speed (N), rate of penetration (V), specific energy (SE) and drillability index (Id) were used as machine learning input variables to predict drillability grades. Finally, the machine learning classification models include SVM, ELM, BPNN, RBF, RF and LSTM are compared to select the optimal model. The efforts and results can be used to evaluate the rock mass drillability and provide support for the design optimization of drilling and blasting method. It can effectively protect the safety and improve efficiency of underground mining.

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Section: Rock Mass Drillability Classification and Identificationmentioning

confidence: 99%

Drillability classification and identification for rock mass based on machine learning

Wu,

Wang

2024

J. Phys.: Conf. Ser.

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“…Research on the efficiency of rotary core drilling was the subject of another study (Sakiz et al, 2022). The authors carried out tests under 12 different working conditions, determining, among others, the cutting resistance, but only for new tools.…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of the drill bit tip geometry on the rotary drilling process performed with a hand-held hydraulic drill

Bołoz

2023

Production Engineering Archives

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In the mining and construction industries, hand drills are used to carry out many processes related to excavation and auxiliary works. Hand drilling is commonly applied for making small diameter holes, especially in hard-to-reach places. In the case of manual drilling, an important parameter is drilling resistance, especially torque. Drilling tools are subject to wear, which has a negative impact on the process of drilling, including resistance and efficiency. A blunt tool lowers the drilling speed and puts more strain on the operator. The article presents the results of laboratory tests of selected parameters of the drilling process carried out with a hydraulic rotary drill. The tests were performed with the use of new drill bits as well as drills characterized by a various degree of wear. The tests were carried out for popular, frequently applied rotary drilling tools, on a unique laboratory stand that enabled setting the feed force and measuring the torque, rotational speed, drilling path, drilling speed as well as the in and out pressure of the drill. A number of characteristics were determined as a function of time and depth of the drilled hole. It was found that tool blunting affects the drilling process in various ways, whereas the intensity of this influence is determined by the type of blunting. The test results can provide a basis for developing a criterion for replacing a drill bit with a new one.

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“…Many studies have proved that differences in rock properties can lead to changes in drilling parameters, and the hardness, rock integrity and spatial distribution of faults and holes can be determined by drilling rate (Yang et al, 2012;Chen and Yue, 2015), bit torque (Gui et al, 2002;Van Wyk et al, 2014;Wang et al, 2018a), and specific energy (Yasar et al, 2011). Determination of rock grade by drilling energy analysis is a commonly used method (Tan et al, 2007;Oparin et al, 2018;Sakiz et al, 2021), and current TWD theory assumes the energy required to break the same rock is a constant value, and this energy is only related to the grade and type of rock (Kahraman, 1999;Karasawa et al, 2002;Mostofi et al, 2011;Wang et al, 2018b;Wang et al, 2019). However, in engineering practice, drilling parameters vary greatly in the same stress environment.…”

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confidence: 99%

Energy analysis of intact granite based on test while drilling under different confining stresses and drilling parameters

Tang

Liang²,

Wu³

et al. 2023

Front. Earth Sci.

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The rock properties are related to the stress environment and dynamic disturbance during construction, and the testing-while-drilling-technique was used for evaluation of rock properties. However, the related research ignored the influences of stress environment and drilling parameters. In this study, triaxial compression tests and laboratory drilling tests under different confining stresses and drilling parameters were conducted for intact granite, and the numerical changes of drilling parameters were recorded. Then the static elastic energy and drilling specific energy (dynamic energy) of rock were calculated by using linear energy storage theory and rock breaking energy theory, respectively. According to the characteristics of energy variation, an energy analysis method based on drilling process was proposed, and the sum of static elastic energy and dynamic elastic energy was defined as the total energy. The results showed that: 1) the static elastic energy increased with the increase of confining stress, while the drilling specific energy was opposite. 2) For the same rock, the total energy was constant under the same drilling parameters. 3) The influence of drilling parameters on total energy was quantified by dynamic load influence factor. Finally, the potential application of energy analysis method in stress estimation was discussed through drilling tests.

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Investigation of the rock drilling performance of rotary core drilling

Cited by 10 publications

References 42 publications

Drillability classification and identification for rock mass based on machine learning

Drillability classification and identification for rock mass based on machine learning

Influence of the drill bit tip geometry on the rotary drilling process performed with a hand-held hydraulic drill

Energy analysis of intact granite based on test while drilling under different confining stresses and drilling parameters

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