• Title/Summary/Keyword: 드릴 비트

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Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis (웨이블릿 변환 분석을 이용한 천공 중 드릴 비트의 손상 진단)

  • Jang, Hyongdoo
    • Explosives and Blasting
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    • v.38 no.1
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    • pp.14-22
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    • 2020
  • Bit damage is one of the primary causes of decreasing drilling efficacy. Nevertheless the management of bit ware and failure are often left for field engineers' experience. Thus it is imperative to establish a proper system to predict and manage the bit damage during the rock drilling process. In this study, the drilling sound signal has been recorded and analyzed using wavelet transform analysis to identify the exact moment of bit failure. Through the analysis wavelet time-frequency spectrums have been constructed and an abnormal point has been identified with 0.9 of wavelet transform value at the 652.8s on a frequency band around 500Hz. Furthermore it is also observed that the penetration rate of the damaged bit has been decreased to 23mm/s which is 9mm/sec lower than the average of undamaged bit. The study verifies that wavelet transform analysis can be used to build a system to diagnose the bit damage while drilling.

Optimization of Flow Path of Drill Bit Using CFD Simulation (CFD를 이용한 굴착용 천공드릴비트의 유로 최적화에 관한 연구)

  • Song, Chang-Heon;Kwon, Ki-Beom;Park, Jin-Young;Shin, Dae-Young;Cho, Jung-Woo
    • Tunnel and Underground Space
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    • v.22 no.4
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    • pp.257-265
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    • 2012
  • In this study, a series of CFD (Computational Fluid Dynamics) simulations carried out to evaluate the optimum design model of the internal flow path of drill bit. The Star-CCM+ code was adopted to simulate the multi-phase discharge flow of rock particles and flushing air during a drilling process. The input parameters for the flow simulation of rock particles and air were obtained from the in-situ drilling test results. After the three design factors were determined, the experimental design method (Taguchi method) was utilized to evaluate the optimum value of each factor.

A Study on the Wear Condition Diagnosis of Grinding Wheel in Micro Drill-bit Grinding System (마이크로 드릴비트 연마 시스템 연삭휠의 마모 진단 연구)

  • Kim, Min-Seop;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.3
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    • pp.77-85
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    • 2022
  • In this study, to diagnose the grinding state of a micro drill bit, a sensor attachment location was selected through random vibration analysis of the grinding unit of the micro drill-bit grinding system. In addition, the vibration data generated during the drill bit grinding were collected from the grinding unit for the grinding wheels under the steady and worn conditions, and data feature extraction and dimension reduction were performed. The wear of the micro-drill-bit grinding wheel was diagnosed by applying KNN, a machine-learning algorithm. The classification model showed excellent performance, with an accuracy of 99.2%. The precision, recall and f1-score were higher than 99% in both the steady and wear conditions.

A Study on Thermal Behavior and Reliability Characteristics of PCBs with a Carbon CCL (카본 CCL이 적용된 PCB의 열거동 및 신뢰성 특성 연구)

  • Cho, Seunghyun;Kim, Jeong-Cheol;Kang, Suk Won;Seong, Il;Bae, Kyung Yun
    • Journal of the Microelectronics and Packaging Society
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    • v.22 no.4
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    • pp.47-56
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    • 2015
  • In this paper, the Thermal behavior and reliability characteristics of carbon CCL (Copper Claded Layer), which can be used as the core of HDI (High Density Interconnection) PCB (Printed Circuit Board) are evaluated through experiments and numerical analysis using CAE (Computer Aided Engineering) software. For the characterization of the carbon CCL, it is compared with the conventional FR-4 core and Heavy Cu core. From research results, the deformation amount of the flexure strength of PCB is the highest with pitch grade carbon and thermal behavior of PCB is lowest as temperature increases. In addition, TC (Thermal Cycling), LLTS (Liquid-to-Liquid Thermal Shock) and Humidity tests have been applied in the PCB with carbon core and the reliability of PCB with carbon core is confirmed through reliability tests. Also, possibility of uneven surface of the via hole and wear of the drill bit due to the carbon fibers are analyzed. surface of the via hole is uniform, the surface of the drill bit is smooth. Therefore, it is proved that the carbon CCL has the drilling workability of the same level as conventional core material.

A Study for Predicting Rotational Cutting Torque from Electrical Energy Required for Ground Drilling (지반절삭 전기에너지를 활용한 회전굴착토크 예측에 관한 연구)

  • Choi, Chang-Ho;Cho, Jin-Woo;Lee, Yong-Soo;Chung, Ha-Ik;Park, Yong-Boo
    • Journal of the Korean Geotechnical Society
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    • v.23 no.7
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    • pp.57-64
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    • 2007
  • This study proposes a method to estimate drilling torque during ground boring with an aid of electrical energy required for rotating a boring-auger. Ground boring is commonly used in geotechnical engineering such as preboring precast pile installation, soil-cement grouting, ground exploration and so forth. In order to understand the correlation between required electrical energy to rotate the boring auger and the drilling torque, a small laboratory apparatus was designed and a pilot study was performed. The apparatus rotates common drill bits of $D=5{\sim}25mm$ in CBR specimens. The velocity of a bit is 19 RPM and predefined using a reduction gear which connects a main rotation axis to a 25 Watts AC electrical motor shaft. In the middle of drilling the motor current increments and the drilling torque were measured and the correlation between the current and the torque was obtained through linear square fits. Based on the correlation the acquired motor current during drilling was applied to predict the drilling torque in consequent testing and the prediction results were compared to the measured torque. The comparison leads a conclusion that the motor current during drilling using electrical power may be a good indicator to estimate/determine strength characteristics of the ground.

Correlation Between Drilling Parameter and Tunnel Support Pattern Using Jumbo Drill (도로터널에서 지보패턴별 굴착지수 상관관계 고찰)

  • Kim, Nag-Young;Kim, Sung-Hwan;Chung, Hyung-Sik
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.3 no.4
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    • pp.17-24
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    • 2001
  • Four road tunnels of which the construction conditions were similar were selected in the paper, and laboratory tests and rockmass classification for the tunnels were carried out. And the analysis was performed to find out the correlation between ratio of bit abrasion or drilling parameter and support pattern of tunnel using jumbo drill machine. It was analyzed that there was average abrasion of bit from 11.85% to 3.25% per support patterns of tunnel in four tunnels. Drilling parameter happens to fluctuate according to extent of fracture zone.

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Feature Extraction Techniques from Micro Drill Bits Images (마이크로 드릴 비트 영상에서의 특징 추출 기법)

  • Oh, Se-Jun;Kim, Nak-Hyun
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.919-920
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    • 2008
  • In this paper, we present early processing techniques for visual inspection of metallic parts. Since metallic surfaces give rise to specular reflections, it is difficult to extract object boundaries using elementary segmentation techniques such as edge detection or binary thresholding. In this paper, we present two techniques for finding object boundaries on micro bit images. First, we explain a technique for detecting blade boundaries using a directional correlation mask. Second, a line and angle extraction technique based on Harris corner detector and Hough transform is described. These techniques have been effective for detecting blade boundaries, and a number of experimental results are presented using real images.

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A Study on the Development of Anomaly Detection Prediction Model for Deep Learning-Based Drilling Equipment (딥러닝 기반 시추장비 이상 예측 및 진단 모델 개발 연구)

  • Han, Dong-Kwon;Kim, Min-Soo;Kwon, Sun-Il;Choi, Jung-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.404-407
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    • 2021
  • 석유개발 현장에서 시추장비의 고장으로 인한 장비교체 및 시추시간 증가는 막대한 비용소모를 발생시킨다. 본 논문은 딥러닝 기반의 시추장비 중 드릴비트의 동력을 구동시키는 디젤엔진의 고장 요소를 분류하고 이 요소에 따른 고장여부를 판별하는 딥러닝 기반의 이상 예측 및 진단 모델을 개발하였다. 또한 제안한 모델의 우수성을 확인하기 위해 로지스틱 회귀분석 분류모델과의 예측성능 비교분석도 수행하였다.

Development of Precision Drilling Machine for the Instrumentation of Nuclear Fuels (핵연료계장을 위한 정밀 드릴링장치 개발)

  • Hong, Jintae;Jeong, Hwang-Young;Ahn, Sung-Ho;Joung, Chang-Young
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.2
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    • pp.223-230
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    • 2013
  • When a new nuclear fuel is developed, an irradiation test needs to be carried out in the research reactor to analyze the performance of the new nuclear fuel. In order to check the performance of a nuclear fuel during the irradiation test in the test loop of a research reactor, sensors need to be attached in and out of the fuel rod and connect them with instrumentation cables to the measuring device located outside of the reactor pool. In particular, to check the temporary temperature change at the center of a nuclear fuel during the irradiation test, a thermocouple should be instrumented at the center of the fuel rod. Therefore, a hole needs to be made at the center of fuel pellet to put in the thermocouple. However, because the hardness and the density of a sintered $UO_2$ pellet are very high, it is difficult to make a small fine hole on a sintered $UO_2$ pellet using a simple drilling machine even though we use a diamond drill bit made by electro deposition. In this study, an automated drilling machine using a CVD diamond drill has been developed to make a fine hole in a fuel pellet without changing tools or breakage of workpiece. A sintered alumina ($Al_2O_3$) block which has a higher hardness than a sintered $UO_2$ pellet is used as a test specimen. Then, it is verified that a precise hole can be drilled off without breakage of the drill bit in a short time.