The Experts below are selected from a list of 6534 Experts worldwide ranked by ideXlab platform
Ronald O. Scattergood - One of the best experts on this subject based on the ideXlab platform.
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Thrust force, torque, and tool wear in Drilling the bulk metallic glass
International Journal of Machine Tools & Manufacture, 2004Co-Authors: Mustafa Bakkal, Albert J. Shih, S.b. Mcspadden, Ronald O. ScattergoodAbstract:The thrust force, torque, and tool wear in Drilling of Zr-based bulk metallic glass (BMG) material are investigated. Drilling the BMG at high speed generates the chip light emission, high tool temperature, and severe tool wear. At low spindle speed, the BMG work-material builds up at the major and margin cutting edges and may break the drill. A range of feasible spindle speed and feed rate for the efficient Drilling of BMG without the detrimental chip light emission and cutting edge work-material build-up has been identified in this study. Under the same Drilling Condition, the WC-Co tool generally requires less thrust force and about the same torque than the high-speed steel tool. The progressive wear of the major and margin cutting edges for BMG Drilling is examined. Severe drill wear is associated with the bright BMG chip light emission. Without chip light emission, the drill wear is visible but not severe. This study concluded that precision holes in BMG could be generated with proper selection of tooling and process parameters.
Bisheng Wu - One of the best experts on this subject based on the ideXlab platform.
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Modelling of Time-Dependent Wellbore Collapse in Hard Brittle Shale Formation under Underbalanced Drilling Condition
Geofluids, 2019Co-Authors: Zhiqiang Xiao, Bisheng WuAbstract:In recent years, the lithologic traps in a mid-depth formation are the focus of oil or gas exploration and development for eastern oilfields in China. The Shahejie Formation develops thick hard brittle shale, and the wellbore instability problem is prominent due to obvious hydration effect for long immersion time during Drilling. Through the analysis of laboratory tests and field test results of physical and chemical properties and microstructure and mechanical properties of hard brittle shale, the instability mechanism is discussed for the wellbore in the shale formation. To simulate the whole process of progressive collapse of a wellbore in a hard brittle shale formation, a coupled hydraulic-mechanical-chemical (HMC) model is developed and this model is compiled with ABAQUS software as the solver. Then the coupled HMC model is applied to simulate the progressive evolution process of wellbore collapse in a hard brittle shale formation, and the influence of different parameters on the progressive failure of the wellbore is analysed. The results show that the wellbore enlargement rate increases with the Drilling fluid immersion time and the influence of different parameters on the wellbore enlargement rate is different. The water absorption diffusion coefficient and the activity of the Drilling fluid have the most obvious influence on the expansion of the wellbore, and the sensitivity is strong. The permeability of shale has little effect on the wellbore enlargement rate. The calculated progressive failure process of the wellbore is basically consistent with that of the actual Drilling.
Farshad Rashidinejad - One of the best experts on this subject based on the ideXlab platform.
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prediction of penetration rate of rotary percussive Drilling using artificial neural networks a case study prognozowanie postepu wiercenia przy uzyciu wiertla udarowo obrotowego przy wykorzystaniu sztucznych sieci neuronowych studium przypadku
Archives of Mining Sciences, 2012Co-Authors: Seyed Ali Aalizad, Farshad RashidinejadAbstract:Penetration rate in rocks is one of the most important parameters of determination of Drilling economics. Total Drilling costs can be determined by predicting the penetration rate and utilized for mine planning. The factors which affect penetration rate are exceedingly numerous and certainly are not completely understood. For the prediction of penetration rate in rotary-percussive Drilling, four types of rocks in Sangan mine have been chosen. Sangan is situated in Khorasan-Razavi province inNortheastern Iran. The selected parameters affect penetration rate is divided in three categories: rock properties, Drilling Condition and Drilling pattern. The rock properties are: density, rock quality designation (RQD), uni-axial compressive strength, Brazilian tensile strength, porosity, Mohs hardness, Young modulus, P-wave velocity. Drilling Condition parameters are: percussion, rotation, feed (thrust load) and flushing pressure; and parameters for Drilling pattern are: blasthole diameter and length. Rock properties were determined in the laboratory, and Drilling Condition and Drilling pattern were determined in the field. For create a correlation between penetration rate and rock properties, Drilling Condition and Drilling pattern, artificial neural networks (ANN) were used. For this purpose, 102 blastholes were observed and Drilling Condition, Drilling pattern and time of Drilling in each blasthole were recorded. To obtain a correlation between this data and prediction of penetration rate, MATLAB software was used. To train the pattern of ANN, 77 data has been used and 25 of them found for testing the pattern. Performance of ANN models was assessed through the root mean square error (RMSE) and correlation coefficient (R 2 ). For optimized model (14-14-10-1) RMSE and R 2 is 0.1865 and 86%, respectively, and its sensitivity analysis showed that there is a strong correlation between penetration rate and RQD, rotation and blasthole diameter. High correlation coefficient and low root mean square error of these models showed that the ANN is a suitable tool for penetration rate prediction.
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Prediction of penetration rate of rotary-percussive Drilling using artificial neural networks – a case study / Prognozowanie postępu wiercenia przy użyciu wiertła udarowo-obrotowego przy wykorzystaniu sztucznych sieci neuronowych – studium przypadku
Archives of Mining Sciences, 2012Co-Authors: Seyed Ali Aalizad, Farshad RashidinejadAbstract:Penetration rate in rocks is one of the most important parameters of determination of Drilling economics. Total Drilling costs can be determined by predicting the penetration rate and utilized for mine planning. The factors which affect penetration rate are exceedingly numerous and certainly are not completely understood. For the prediction of penetration rate in rotary-percussive Drilling, four types of rocks in Sangan mine have been chosen. Sangan is situated in Khorasan-Razavi province inNortheastern Iran. The selected parameters affect penetration rate is divided in three categories: rock properties, Drilling Condition and Drilling pattern. The rock properties are: density, rock quality designation (RQD), uni-axial compressive strength, Brazilian tensile strength, porosity, Mohs hardness, Young modulus, P-wave velocity. Drilling Condition parameters are: percussion, rotation, feed (thrust load) and flushing pressure; and parameters for Drilling pattern are: blasthole diameter and length. Rock properties were determined in the laboratory, and Drilling Condition and Drilling pattern were determined in the field. For create a correlation between penetration rate and rock properties, Drilling Condition and Drilling pattern, artificial neural networks (ANN) were used. For this purpose, 102 blastholes were observed and Drilling Condition, Drilling pattern and time of Drilling in each blasthole were recorded. To obtain a correlation between this data and prediction of penetration rate, MATLAB software was used. To train the pattern of ANN, 77 data has been used and 25 of them found for testing the pattern. Performance of ANN models was assessed through the root mean square error (RMSE) and correlation coefficient (R 2 ). For optimized model (14-14-10-1) RMSE and R 2 is 0.1865 and 86%, respectively, and its sensitivity analysis showed that there is a strong correlation between penetration rate and RQD, rotation and blasthole diameter. High correlation coefficient and low root mean square error of these models showed that the ANN is a suitable tool for penetration rate prediction.
Mustafa Bakkal - One of the best experts on this subject based on the ideXlab platform.
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Thrust force, torque, and tool wear in Drilling the bulk metallic glass
International Journal of Machine Tools & Manufacture, 2004Co-Authors: Mustafa Bakkal, Albert J. Shih, S.b. Mcspadden, Ronald O. ScattergoodAbstract:The thrust force, torque, and tool wear in Drilling of Zr-based bulk metallic glass (BMG) material are investigated. Drilling the BMG at high speed generates the chip light emission, high tool temperature, and severe tool wear. At low spindle speed, the BMG work-material builds up at the major and margin cutting edges and may break the drill. A range of feasible spindle speed and feed rate for the efficient Drilling of BMG without the detrimental chip light emission and cutting edge work-material build-up has been identified in this study. Under the same Drilling Condition, the WC-Co tool generally requires less thrust force and about the same torque than the high-speed steel tool. The progressive wear of the major and margin cutting edges for BMG Drilling is examined. Severe drill wear is associated with the bright BMG chip light emission. Without chip light emission, the drill wear is visible but not severe. This study concluded that precision holes in BMG could be generated with proper selection of tooling and process parameters.
Zhiqiang Xiao - One of the best experts on this subject based on the ideXlab platform.
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Modelling of Time-Dependent Wellbore Collapse in Hard Brittle Shale Formation under Underbalanced Drilling Condition
Geofluids, 2019Co-Authors: Zhiqiang Xiao, Bisheng WuAbstract:In recent years, the lithologic traps in a mid-depth formation are the focus of oil or gas exploration and development for eastern oilfields in China. The Shahejie Formation develops thick hard brittle shale, and the wellbore instability problem is prominent due to obvious hydration effect for long immersion time during Drilling. Through the analysis of laboratory tests and field test results of physical and chemical properties and microstructure and mechanical properties of hard brittle shale, the instability mechanism is discussed for the wellbore in the shale formation. To simulate the whole process of progressive collapse of a wellbore in a hard brittle shale formation, a coupled hydraulic-mechanical-chemical (HMC) model is developed and this model is compiled with ABAQUS software as the solver. Then the coupled HMC model is applied to simulate the progressive evolution process of wellbore collapse in a hard brittle shale formation, and the influence of different parameters on the progressive failure of the wellbore is analysed. The results show that the wellbore enlargement rate increases with the Drilling fluid immersion time and the influence of different parameters on the wellbore enlargement rate is different. The water absorption diffusion coefficient and the activity of the Drilling fluid have the most obvious influence on the expansion of the wellbore, and the sensitivity is strong. The permeability of shale has little effect on the wellbore enlargement rate. The calculated progressive failure process of the wellbore is basically consistent with that of the actual Drilling.
