The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
N C Karmaka - One of the best experts on this subject based on the ideXlab platform.
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estimating rock properties using sound signal dominant frequencies during diamond Core Drilling operations
Journal of rock mechanics and geotechnical engineering, 2019Co-Authors: Ch Vijaya Kuma, Ch. S. N. Murthy, Harsha Vardha, N C KarmakaAbstract:Abstract In many engineering applications such as mining, geotechnical and petroleum industries, Drilling operation is widely used. The Drilling operation produces sound by-product, which could be helpful for preliminary estimation of the rock properties. Nevertheless, determination of rock properties is very difficult by the conventional methods in terms of high accuracy, and thus it is expensive and time-consuming. In this context, a new technique was developed based on the estimation of rock properties using dominant frequencies from sound pressure level generated during diamond Core Drilling operations. First, sound pressure level was recorded and sound signals of these sound frequencies were analyzed using fast Fourier transform (FFT). Rock Drilling experiments were performed on five different types of rock samples using computer numerical control (CNC) Drilling machine BMV 45 T20. Using simple linear regression analysis, mathematical equations were developed for various rock properties, i.e. uniaxial compressive strength, Brazilian tensile strength, density, and dominant frequencies of sound pressure level. The developed models can be utilized at early stage of design to predict rock properties.
M Goedickemeie - One of the best experts on this subject based on the ideXlab platform.
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Core Drilling in reinforced concrete using polycrystalline diamond pcd cutters wear and fracture mechanisms
International Journal of Refractory Metals & Hard Materials, 2009Co-Authors: Steve Moseley, M GoedickemeieAbstract:Abstract The wear and fracture mechanisms of PCD cutters active during the Core Drilling of reinforced concrete have been documented. All have analogies with well known mechanisms from rotary and rotary-percussive rock Drilling and also metal cutting (machining). At rotational velocities up to 5 m/s and normal and cutting forces around 2000 N per 5 mm cutter (equating to principal stresses of around 500 N/mm 2 at the cutting edge), gross fracturing of relatively un-worn cutters early in Drilling is the predominant failure mechanism. Chipping at various size scales is observed with approximately the same rate of occurrence as cutter wear, which is mainly caused by attrition abrasion in concrete and to a lesser extent by chemical (diffusive) wear in the reinforcement steel. Chipping occurs by brittle fracture (unstable crack growth) at the small- to mid-scale and by fatigue crack growth at the large scale.
Ch. S. N. Murthy - One of the best experts on this subject based on the ideXlab platform.
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estimating rock properties using sound signal dominant frequencies during diamond Core Drilling operations
Journal of rock mechanics and geotechnical engineering, 2019Co-Authors: Ch Vijaya Kuma, Ch. S. N. Murthy, Harsha Vardha, N C KarmakaAbstract:Abstract In many engineering applications such as mining, geotechnical and petroleum industries, Drilling operation is widely used. The Drilling operation produces sound by-product, which could be helpful for preliminary estimation of the rock properties. Nevertheless, determination of rock properties is very difficult by the conventional methods in terms of high accuracy, and thus it is expensive and time-consuming. In this context, a new technique was developed based on the estimation of rock properties using dominant frequencies from sound pressure level generated during diamond Core Drilling operations. First, sound pressure level was recorded and sound signals of these sound frequencies were analyzed using fast Fourier transform (FFT). Rock Drilling experiments were performed on five different types of rock samples using computer numerical control (CNC) Drilling machine BMV 45 T20. Using simple linear regression analysis, mathematical equations were developed for various rock properties, i.e. uniaxial compressive strength, Brazilian tensile strength, density, and dominant frequencies of sound pressure level. The developed models can be utilized at early stage of design to predict rock properties.
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Quantification of Rock Properties Using Frequency Analysis During Diamond Core Drilling Operations
Journal of The Institution of Engineers (India): Series D, 2019Co-Authors: Ch. Vijaya Kumar, Harsha Vardhan, Ch. S. N. MurthyAbstract:Rock Drilling is one of the most essential operations in mining and allied industries. This study focuses on the quantification of physico-mechanical rock properties using dominant frequencies from the sound signal generated through diamond Core Drilling operations. The rock Drilling experiments were performed on five different types of rock samples using a computer numerical control Drilling machine. Using simple linear regression analysis, satisfactory mathematical equations were developed between various physico-mechanical rock properties, namely, uniaxial compressive strength, Brazilian tensile strength, density and dominant frequencies of sound level were generated during diamond Core Drilling operations. The developed models can be utilised for quantification of rock properties with an acceptable degree of accuracy in realistic applications.
Ch Vijaya Kuma - One of the best experts on this subject based on the ideXlab platform.
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estimating rock properties using sound signal dominant frequencies during diamond Core Drilling operations
Journal of rock mechanics and geotechnical engineering, 2019Co-Authors: Ch Vijaya Kuma, Ch. S. N. Murthy, Harsha Vardha, N C KarmakaAbstract:Abstract In many engineering applications such as mining, geotechnical and petroleum industries, Drilling operation is widely used. The Drilling operation produces sound by-product, which could be helpful for preliminary estimation of the rock properties. Nevertheless, determination of rock properties is very difficult by the conventional methods in terms of high accuracy, and thus it is expensive and time-consuming. In this context, a new technique was developed based on the estimation of rock properties using dominant frequencies from sound pressure level generated during diamond Core Drilling operations. First, sound pressure level was recorded and sound signals of these sound frequencies were analyzed using fast Fourier transform (FFT). Rock Drilling experiments were performed on five different types of rock samples using computer numerical control (CNC) Drilling machine BMV 45 T20. Using simple linear regression analysis, mathematical equations were developed for various rock properties, i.e. uniaxial compressive strength, Brazilian tensile strength, density, and dominant frequencies of sound pressure level. The developed models can be utilized at early stage of design to predict rock properties.
Steve Moseley - One of the best experts on this subject based on the ideXlab platform.
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Core Drilling in reinforced concrete using polycrystalline diamond pcd cutters wear and fracture mechanisms
International Journal of Refractory Metals & Hard Materials, 2009Co-Authors: Steve Moseley, M GoedickemeieAbstract:Abstract The wear and fracture mechanisms of PCD cutters active during the Core Drilling of reinforced concrete have been documented. All have analogies with well known mechanisms from rotary and rotary-percussive rock Drilling and also metal cutting (machining). At rotational velocities up to 5 m/s and normal and cutting forces around 2000 N per 5 mm cutter (equating to principal stresses of around 500 N/mm 2 at the cutting edge), gross fracturing of relatively un-worn cutters early in Drilling is the predominant failure mechanism. Chipping at various size scales is observed with approximately the same rate of occurrence as cutter wear, which is mainly caused by attrition abrasion in concrete and to a lesser extent by chemical (diffusive) wear in the reinforcement steel. Chipping occurs by brittle fracture (unstable crack growth) at the small- to mid-scale and by fatigue crack growth at the large scale.