• Title/Summary/Keyword: Drifter

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Experimental Evaluation of Percussion Performance for Rock-Drill Drifter

  • Seo, Jaho;Park, Jin-Sun;Kim, Heungsub;Noh, Dae Kyung
    • Journal of Biosystems Engineering
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    • v.40 no.1
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    • pp.1-9
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    • 2015
  • Purpose: The objective of this study was to understand the operating mechanism of the rock-drill drifter, to explain how to setup an experimental test system and measure the strain of the drifter's rod, and to evaluate the drifter's performance with respect to the impact energy and blow frequency. Methods: The structure of the rock-drill drifter and its operating principle regarding the impact process were analyzed. Static calibration was carried out to calculate the correction factor using a drifter rod as the first step of the experimental test. The impact energy and blow frequency were then calculated based on strain measurements of the drifter's rod. Results: Experimental results showed that the tested drifter elicited a blow frequency of 3330 BPM (Blows Per Minute) and generated impact energy of 170 J/blow. This indicates that the drifter elicits a higher percussion speed and results in a lower impact energy compared to the hydraulic breaker at the same input power. Conclusions: The study proposed methodologies that deal with the experimental setup and the evaluation of the performance of the rock-drill drifter. These methodologies can be extensively used for validating and improving the percussion performance of the drilling equipment.

Development of Drifter's Hydraulic System Model and Its Validation (드리프터의 유압시스템 해석모델 개발 및 신뢰성 검토)

  • Noh, D.K.;Jang, J.S.;Seo, J.H.;Kim, H.S.;Park, S.H.
    • Journal of Drive and Control
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    • v.11 no.3
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    • pp.14-21
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    • 2014
  • The goal of this study drifter is to understand the operating mechanism of a drifter and to suggest a reliable analysis model which can be used for evaluating the drifter's performance from the viewpoint of impact frequency and energy. For this, the working principle of drifter and functions of its main components were analyzed, and a simulation model was developed based on the analysis. The model was validated using experimental tests on a test-bench. A comparative study of simulation and experimental results indicated that the suggested model accurately represents the real drifter system in terms of impact frequency and impact energy per blow.

Development of Analysis Model and Sensitivity Analysis for High-Power Hydraulic Drifter Design (고출력 유압 드리프터 설계를 위한 해석모델 개발 및 민감도 분석)

  • Noh, Dae-Kyung;Lee, Dae-Hee;Yun, Joo-Seop;Lee, Dong-Won
    • Journal of the Korea Society for Simulation
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    • v.27 no.2
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    • pp.11-24
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    • 2018
  • The purpose of the present study is to develop an analysis model to analyze the design parameter sensitivity of a high-power drifter suitable for implementation in Korean hydraulic drills. This study aims to establish a basis for the optimization of the impact performance and stability of a high-power drifter by investigating the effects of each design parameter on the impact performance via design parameter sensitivity analysis. To begin, an analysis model of drifter dynamics is developed, and the reliability of the analysis model is verified by comparing the analysis results to the experimental results. The drifter is then redesigned for compatibility with Korean hydraulic drills. Finally, design parameter sensitivity analysis of the redesigned drifter is conducted to determine the effects of the design parameters on the impact performance, and to extract the high-sensitivity parameters. SimulationX, which is multi-physics analysis software, is used to develop the analysis model, and EasyDesign is employed for design parameter sensitivity analysis.

Analysis of Drifter's Critical Performance Factors Using Its Hydraulic Analysis Model (드리프터 유압 해석모델을 활용한 성능격차 유발 인자 접근 사례)

  • Noh, Dae-Kyung;Seo, Jaho;Park, Jin-Sun;Park, James;Jang, Joo-Sup
    • Journal of the Korea Society for Simulation
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    • v.23 no.3
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    • pp.33-40
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    • 2014
  • Drifter is equipment which is hard to localize. Performance of prototype hasn't performed well compared to product of leading companies even though advanced foreign firm's product were dead copied. This study shows cases of approaching the factor which produces performance gap through drifter hydraulic analysis model which is core component of rock drill. Progression of procedure is following. 1) Securing reliability of the analysis model by comparing impact test result with analysis result. 2) Drawing a graph which indicates performance gap between prototype and drifter of advanced foreign firm by using analysis model. 3) Approaching the factor which produces performance gap with analysing variable of the analysis model. Software used for this analysis is SimulationX.

Correction of Drifter Data Using Recurrent Neural Networks (순환신경망을 이용한 뜰개의 관측 데이터 보정)

  • Kim, Gyoung-Do;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.15-21
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    • 2018
  • The ocean drifter is a device for observing the ocean weather by floating off the sea surface. The data observed through the drifter is utilized in the ocean weather prediction and oil spill. Observed data may contain incorrect or missing data at the time of observation, and accuracy may be lowered when we use the data. In this paper, we propose a data correction model using recurrent neural networks. We corrected data collected from 7 drifters in 2015 and 8 drifters in 2016, and conducted experiments of drifter moving prediction to reflect the correction results. Experimental results showed that observed data are corrected by 13.9% and improved the performance of the prediction model by 1.4%.

Observation of the Sea Surface Skin Current Using a GPS-Drifter (GPS 뜰개를 이용한 해양 표면류 관측)

  • Park, Joon Seong;Kang, KiRyong;Lee, Seok;Lee, Sang-Ryong
    • Ocean and Polar Research
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    • v.35 no.3
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    • pp.193-203
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    • 2013
  • A GPS-drifter was newly designed to observe the sea surface skin current and to estimate the direct wind effect on the sea surface. After conducting a test to establish and verify the accuracy of the GPS itself in the laboratory, in-situ experimental campaigns at Saemangeum in Gunsan city and Haeundae in Busan city, Korea, were carried out to ascertain the drifter track and to estimate the velocity data set on Oct. 3, 15, 23, 27 and Nov. 25, 2011. The current meters, RCM9 and ADCP, were moored together to remove the background current field, and the wind data were obtained from several marine stations such as towers and buoys in these areas. The drifter-observed velocity show good agreement with the flow obtained by the HF radar in the Saemangeum area. The direction of the wind-driven current extracted from the drifter-observed velocity was completely deflected to the right, however the degree of the angle was different according to the drift types. The average speed of the wind-driven current matched with 2.19~2.81% of the wind speed and the deflection angle was about $8.0{\sim}10.9^{\circ}$ without adjustment for the land-sea effect, and about 2.19~2.84% and $4.1{\sim}6.0^{\circ}$ with the adjustment for the land-sea effect.

Observation of Reservoir Current Using Drifter (The Case Study of Yongdam Reservoir) (Drifter를 이용한 저수지 수리거동 조사 (용담댐을 중심으로))

  • Lee, Yo-Sang;Koh, Deok-Koo;Chae, Hyo-Sok;Han, Kyung-Min
    • Korean Journal of Ecology and Environment
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    • v.45 no.2
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    • pp.200-209
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    • 2012
  • The current of the water body is very important information for the water quality management on reservoirs. It is applied to hydraulics and water quality model for simulation. In this regard, the current characteristic of water body is the basic information that can be used to predict various conditions. However, it is very slow flowing and is affected by the reservoir operations and external factors. As such, an accurate measurement of the current is a difficult problem. In order to measure the water current, we constructed a drifter. According to the result of flow survey at Yongdam reservoir, 5m and 10 m depth layer flow was investigated from the upstream to the downstream, during a flood period. Maximum flow rate of 5 m depth is 13.8 cm $sec^{-1}$ and 10 m depth shows 4 cm $sec^{-1}$, respectively. But 2m depth shows a backward flow and maximum flow rate is 4 cm $sec^{-1}$. Density currents flow plays the role of back flow in reservoirs. Flow velocity in the reservoir was measured in the range of 1~2 cm $sec^{-1}$, at normal flow season, and the flow direction were different for each survey. This phenomenon occurs because the reservoir volume is very large, compared to the inflow and outflow volume.

Impact performance for high frequency hydraulic rock drill drifter with sleeve valve

  • Guo, Yong;Yang, Shu Yi;Liu, De Shun;Zhang, Long Yan;Chen, Jian Wen
    • International Journal of Fluid Machinery and Systems
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    • v.9 no.1
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    • pp.39-46
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    • 2016
  • A high frequency hydraulic rock drill drifter with sleeve valve is developed to use on arm of excavator. In order to ensure optimal working parameters of impact system for the new hydraulic rock drill drifter controlled by sleeve valve, the performance test system is built using the arm and the hydraulic source of excavator. The evaluation indexes are gained through measurement of working pressure, supply oil flow and stress wave. The relations of working parameters to impact system performance are analyzed. The result demonstrates that the maximum impact energy of the drill drifter is 98.34J with impact frequency of 71HZ. Optimal pressure of YZ45 rock drill is 12.8 MPa-13.6MPa, in which the energy efficiency reaches above 58.6%, and feature moment of energy distribution is more than 0.650.

Performance Comparison of Machine Learning Based on Neural Networks and Statistical Methods for Prediction of Drifter Movement (뜰개 이동 예측을 위한 신경망 및 통계 기반 기계학습 기법의 성능 비교)

  • Lee, Chan-Jae;Kim, Gyoung-Do;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.45-52
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    • 2017
  • Drifter is an equipment for observing the characteristics of seawater in the ocean, and it can be used to predict effluent oil diffusion and to observe ocean currents. In this paper, we design models or the prediction of drifter trajectory using machine learning. We propose methods for estimating the trajectory of drifter using support vector regression, radial basis function network, Gaussian process, multilayer perceptron, and recurrent neural network. When the propose mothods were compared with the existing MOHID numerical model, performance was improve on three of the four cases. In particular, LSTM, the best performed method, showed the imporvement by 47.59% Future work will improve the accuracy by weighting using bagging and boosting.