• 에너지공학
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• 제28권1호
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• pp.49-56
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• 2019

본 연구에서는 발전소에서 사용되는 부품의 넓은 표면을 세정하기 위한 브라스팅 노즐을 비압축성 유동해석에 기초하여 설계하였다. 설계된 노즐의 출구측 단면은 광폭의 직선 모양이다. 설계 후 3차원 프린팅으로 노즐 시제품을 제작하였고 이를 브라스팅 머신에 장착 후 세정 성능실험을 수행하였다. 해석 후 얻은 광폭 크기와 실험 후 시편 표면에서 얻은 세정된 광폭 크기가 거의 같았다. 이로부터 대면적 표면처리를 위한 브라스팅 노즐의 설계가 유효함을 확인하였다.

• 한국전자파학회논문지
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• 제30권2호
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• pp.173-176
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• 2019

본 논문에서는 밀리미터파 탐색기에 적용 가능한 Ka-대역 도파관 로터리조인트를 설계 및 제작하였다. 제안된 로터리 조인트는 낮은 정재파 비와 저손실 특성을 유지하며, 방위각과 고각 회전이 가능하도록 하는 두 개의 회전축으로 설계되어 있다. 또한 구형 도파관과 원형 도파관 사이에 전파 모드를 정합하기 위한 리지 도파관 형태의 모드 변환기와 ${\lambda}/4$ 길이의 초크 구조로 로터리 조인트를 설계하였다. 제작된 로터리 조인트의 성능은 회로망 분석기와 고출력 송신기를 이용하여 확인하였으며, 진동/충격 시험을 통해 신뢰성 검사를 수행하였다. 그 결과, 중심 주파수$(F_C){\pm}500MHz$의 대역에서 최대 정재파비 1.19 : 1 이하, 삽입손실 0.80 dB 이하의 우수한 특성을 갖는 것을 확인하였다.

• 드라이브 ㆍ 컨트롤
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• 제17권4호
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• pp.125-132
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• 2020

The objective of this study was to analyze the axle load of a rice transplanter when planting rice seedlings at different working load conditions to select a suitable gear stage and a constant planting depth for rice seedlings. In this study, there are four levels of planting distances (26, 35, 43, and 80 cm) and three planting depths (low, medium, and high) with two gear stages (1.3 and 1.7 m/s). Axle loads and required planting pressures were analyzed statistically. It was observed that axle torques were increased with increasing planting depths for both gear stages, meaning that axle torques were directly proportional to planting depths for both gear stages. It was also observed that required planting pressures had a significant difference between planting distances. Planting pressures also showed significant difference according to gear stage and planting depth. These results indicate that planting pressures were directly proportional to both gear stage and planting depth. Results revealed that the automatic depth control system of a rice transplanter could not guarantee a constant planting depth as supplied pressures were variable. This indicates that a control algorithm is needed to ensure a constant planting depth. In the future, a control algorithm will be developed for an automatic depth control system of a rice transplanter to improve its comprehensive performance and efficiency.

• Tribology and Lubricants
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• 제38권3호
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• pp.93-100
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• 2022

Micro-light emitting diode (micro-LED) displays offer numerous advantages such as high brightness, fast response, and low power consumption. Hence, they are spotlighted as the next-generation display. However, defective LEDs may be created due to non-uniform contact loads or LED alignment errors. Therefore, a repair process involving the replacement of defective LEDs with favorable ones is necessitated. The general repair process involves the removal of defective micro-LEDs, interconnection material transfer, as well as new micro-LED transfer and bonding. However, micro-LEDs are difficult to repair since their size decreases to a few tens of micron in width and less than 10 ㎛ in thickness. The conventional nozzle-type dispenser for fluxes and the conventional vacuum chuck for LEDs are not applicable to the micro-LED repair process. In this study, transfer conditions are determined using a micro stamp for repairing micro-LEDs. Results show that the aging time should be set to within 60 min, based on measuring the aging time of the flux. Additionally, the micro-LEDs are subjected to a compression test, and the result shows that they should be transferred under 18.4 MPa. Finally, the I-V curves of micro-LEDs processed by the laser and hot plate reflows are measured to compare the electrical properties of the micro-LEDs based on the reflow methods. It was confirmed that the micro-LEDs processed by the laser reflow show similar electrical performance with that processed by the hot plate reflow. The results can provide guidance for the repair of micro-LEDs using micro stamps.

• Geomechanics and Engineering
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• 제28권5호
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• pp.505-520
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• 2022

In recent years, geotextile-encased gravel columns (usually called stone columns) have become a popular method to increasing soil shear strength, decreasing the settlement, acceleration of the rate of consolidation, reducing the liquefaction potential and increasing the bearing capacity of foundations. The behavior of improved loose base-soil with gravel columns under shear loading and the shear stress-horizontal displacement curves got from large scale direct shear test are of great importance in understanding the performance of this method. In the present study, by performing 36 large-scale direct shear tests on sandy base-soil with different fine-content of zero to 30% in both not improved and improved with gravel columns, the effect of the presence of gravel columns in the loose soils were investigated. The results were used to predict the shear stress-horizontal displacement curve of these samples using support vector machines (SVM). Variables such as the non-plastic fine content of base-soil (FC), the area replacement ratio of the gravel column (Arr), the geotextile encasement and the normal stress on the sample were effective factors in the shear stress-horizontal displacement curve of the samples. The training and testing data of the model showed higher power of SVM compared to multilayer perceptron (MLP) neural network in predicting shear stress-horizontal displacement curve. After ensuring the accuracy of the model evaluation, by introducing different samples to the model, the effect of different variables on the maximum shear stress of the samples was investigated. The results showed that by adding a gravel column and increasing the Arr, the friction angle (ϕ) and cohesion (c) of the samples increase. This increase is less in base-soil with more FC, and in a proportion of the same Arr, with increasing FC, internal friction angle and cohesion decreases.

• 대한조선학회논문집
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• 제60권2호
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• pp.95-109
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• 2023

In the 4th industrial revolution, changes in the technological paradigm have had a direct impact on the maintenance system of ships. The 2-stroke low speed engine system integrates with the core equipment required for propulsive power. The Condition Based Management (CBM) is defined as a technology that predictive maintenance methods in existing calender-based or running time based maintenance systems by monitoring the condition of machinery and diagnosis/prognosis failures. In this study, we have established a framework for CBM technology development on our own, and are engaged in engineering-based failure analysis, data development and management, data feature analysis and pre-processing, and verified the reliability of failure mode DB using LSTM algorithms. We developed various simulated failure mode scenarios for 2-stroke low speed engine and researched to produce data on onshore basis test_beds. The analysis and pre-processing of normal and abnormal status data acquired through failure mode simulation experiment used various Exploratory Data Analysis (EDA) techniques to feature extract not only data on the performance and efficiency of 2-stroke low speed engine but also key feature data using multivariate statistical analysis. In addition, by developing an LSTM classification algorithm, we tried to verify the reliability of various failure mode data with time-series characteristics.

• Wind and Structures
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• 제35권4호
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• pp.269-285
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• 2022

The pressure-mitigating effects of a high-speed train passing through a tunnel with a partially reduced cross-section are investigated via the numerical approach. A compressible, three-dimensional RNG k-ε turbulence model and a hybrid mesh strategy are adopted to reproduce that event, which is validated by the moving model test. Three step-like tunnel forms and two additional transitions at the tunnel junction are proposed and their aerodynamic performance is compared and scrutinized with a constant cross-sectional tunnel as the benchmark. The results show that the tunnel step is unrelated to the pressure mitigation effects since the case of a double-step tunnel has no advantage in comparison to a single-step tunnel, but the excavated volume is an essential matter. The pressure peaks are reduced at different levels along with the increase of the excavated earth volume and the peaks are either fitted with power or logarithmic function relationships. In addition, the Arc and Oblique-transitions have very limited gaps, and their pressure curves are identical to each other, whereas the Rec-transition leads to relatively lower pressure peaks in C_Pmax, C_Pmin, and ΔC_P, with 5.2%, 4.0%, and 4.1% relieved compared with Oblique-transition. This study could provide guidance for the design of the novel railway tunnel.

• 대한방사선기술학회지:방사선기술과학
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• 제46권2호
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• pp.131-139
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• 2023

High-dose I-131 used for the treatment of thyroid cancer causes localized exposure among radiology technologists handling it. There is a delay between the calibration date and when the dose of I-131 is administered to a patient. Therefore, it is necessary to directly measure the radioactivity of the administered dose using a dose calibrator. In this study, we attempted to apply machine learning modeling to measured external dose rates from shielded I-131 in order to predict their radioactivity. External dose rates were measured at 1 m, 0.3 m, and 0.1 m distances from a shielded container with the I-131, with a total of 868 sets of measurements taken. For the modeling process, we utilized the hold-out method to partition the data with a 7:3 ratio (609 for the training set:259 for the test set). For the machine learning algorithms, we chose linear regression, decision tree, random forest and XGBoost. To evaluate the models, we calculated root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE) to evaluate accuracy and R² to evaluate explanatory power. Evaluation results are as follows. Linear regression (RMSE 268.15, MSE 71901.87, MAE 231.68, R² 0.92), decision tree (RMSE 108.89, MSE 11856.92, MAE 19.24, R² 0.99), random forest (RMSE 8.89, MSE 79.10, MAE 6.55, R² 0.99), XGBoost (RMSE 10.21, MSE 104.22, MAE 7.68, R² 0.99). The random forest model achieved the highest predictive ability. Improving the model's performance in the future is expected to contribute to lowering exposure among radiology technologists.

• Composites Research
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• 제20권3호
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• pp.50-54
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• 2007

본 연구에서는 IPMC의 기본적인 기계적 특성을 알아보았다. 기전폴리머의 한 종류인 IPMC는 굽힘형 작동, 가벼움, 저전력 소모, 유연성 등의 많은 장점을 가진 재료이다. 따라서 IPMC는 생체모방형 작동기와 센서로서 많은 가능성을 가지고 있다. 이런 가능성을 바탕으로 IPMC를 실제로 응용하기 위하여 IPMC의 변형, 구동력, 주파수 응답 등 기본적인 기계적 특성을 연구하였다. 우선 이온교환폴리머의 한 종류인 네피온 용액을 사용하여 여러 가지 두께의 네피온 막을 만들고, 무전해 도금을 통해 IPMC를 제작하였다. 이렇게 제작된 IPMC의 규격, 인가 전압에 따른 변형, 구동력, 주파수 응답 특성에 관한 실험을 수행하고, 실험 결과를 통해 IPMC 성능의 실험식과 등가 강성 모델을 수립하였다.

• 한국체육학회지인문사회과학편
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• 제54권5호
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• pp.251-260
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• 2015

본 연구에서는 대학 펜싱선수들을 대상으로 심리교육을 중재한 후 자원동원성 수준에 따라 심리기술과 자기관리행동이 어떻게 변화하는지 탐색하여 참여자의 심리적 역량에 따른 중재의 효과성을 검증하고자 하였다. 대학 펜싱 선수(남 10명, 여 10명) 20명을 연구 참여자로 선정하였으며, 심리교육은 지도자와 참여자에게 동의를 구한 후 팀의 훈련 및 시합일정을 고려하여 12회기를 실시하였다. 시행시간은 주 1회, 60-90분 정도 소요되었으며, 심리 교육의 효과를 확인하기 위하여 1회기와 12회기에 자원동원성, 심리기술, 자기관리행동을 탐색하였다. 특히 자원동원성은 연구 참여자들의 사전 평균점수를 기준으로 고/저 집단으로 나누어 분석에 활용하였다. 연구 결과는 다음과 같다. 첫째, 자원동원성 고집단에서는 심리기술 하위요인 중 집중력, 심상에서 유의미한 변화를 보였으며, 저집단에서는 극복의지, 목표설정, 자신감, 집중력, 심상 요인에서 유의미한 변화를 나타내었다. 둘째, 자원동원성 고집단에서는 자기관리 하위요인 중 몸관리에서 유의미한 변화를 보였고 자원동원성 저집단에서는 훈련관리에서 유의미한 변화를 보여 자원동원성 수준에 따라 다른 변화를 보였다.