• 한국표면공학회지
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• 제55권6호
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• pp.403-407
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• 2022

Grain size of material is important factor in evaluating mechanical properties. Methods for grain size determination are described in ASTM grain size standards. However, conventional method require pretreatment of the surface to clarify grain boundaries. In this study, the grain size from the surface image obtained from scanning electron microscope was measured using the watershed algorithm, which is a region-based method among image segmentation techniques. The shapes of the crystals are similar to each other, but the size and growth height are different. In addition, crystal grains are adjacent to each other, so it is very similar to the shape image of the topography. Therefore, grain boundaries can be efficiently detected using the Watershed algorithm.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.809-810
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• 2023

도서관 자동화 시스템 개발로 이용자가 책을 직접 찾지 않고, 대출하고자 하는 책을 PC에 입력하면 자율주행으로 책이 있는 서가로 이동, 딥러닝 기반의 로봇팔로 책을 잡고 기존 위치로 복귀하여 자동으로 대출과 운반이 가능한 로봇의 시스템을 제안한다.

• 한국기계가공학회지
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• 제18권9호
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• pp.52-57
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• 2019

The key technology of the fourth industrial revolution is artificial intelligence and machine learning. In this study, FMEA was performed on fuel pumps used as key items in most systems to identify major failure components, and artificial neural networks were built using big data. The main failure mode of the fuel pump identified by the test was coil damage due to overheating. Based on the artificial neural network built, machine learning was conducted to predict the failure and the mean error rate was 4.9% when the number of hidden nodes in the artificial neural network was three and the temperature increased to $140^{\circ}C$ rapidly.

• 대한기계학회논문집A
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• 제35권7호
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• pp.791-798
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• 2011

모든 기계 시스템의 변수는 불확실성을 가지고 이는 시스템 성능에 직접적인 영향을 미칠 뿐 아니라 생산성 감소를 야기한다. 특히 MEMS 시스템의 크기는 매우 작으므로 일반적인 기계 시스템에 비해 제조 공차는 상대적으로 커질 수 밖에 없다. 이 제조 공차에 의한 시스템 변수 불확실성은 MEMS 시스템의 성능과 제조 수율에 영향을 미친다. 본 연구에서는 두 가지의 불확실성 해석법을 이용하여 MEMS 가속도계의 시스템 변수 불확실성에 의한 성능의 불확실성 해석을 수행하고 성능분포 및 제조수율을 예측하였다.

• 반도체디스플레이기술학회지
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• 제18권1호
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• pp.25-31
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• 2019

In this study, a new adhesion evaluating equipment and data processing methods were developed to overcome some limitations of existing evaluating equipment. Nano-diamond coated tool is a specimen of experiment. When applying frictional force and shear force on the specimen by a rotating polishing pad, delamination occurs at a moment. During each experiment, the vibration, load, and torque is obtained by accelerometer, loadcell and torque s+ kpensor. Frictional force and coefficient of friction are obtained by calculating torque and load. Based on FFT transformation, acceleration is processed and analyzed. As a result, the moment of delamination and the load at that time can be detected by the new developed equipment and measurement system. Finally, we call this load as an Adhesion force.

• 대한기계학회논문집A
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• 제39권1호
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• pp.79-87
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• 2015

요요 진동시스템을 이용한 파력발전 장치의 모델링 및 성능해석을 수행하였다. 본 연구의 파력발전 시스템은 기계적 요소인 요요진동 시스템, 모션정류 시스템, 동력전달 시스템과 전기적 요소인 발전시스템으로 구성된다. 특히 요요 진동시스템을 적용하여 파랑의 입력을 회전운동으로 변환하였으며 입력되는 파랑의 크기가 공진현상에 의해 증폭되어 높은 에너지 변환효율을 갖도록 구성되었다. 기계적 시스템과 전기적 시스템의 임피던스 연결(Impedance matching)을 통해 기계-전기 통합 해석 모델을 수립하였다. 일정 입력 가속도 0.14g 에서 다양한 파랑 주파수와 시스템 감쇠비에 대한 수치적 성능 해석을 진행하였다. 최대 전기적 출력은 공진주파수에서 부하저항이 최적 부하 조건을 만족할 때 발생하였으며, 이때 최대 전기 출력은 290W, 발전 효율은 48%이다. 해석 결과를 통해 공진 현상을 이용하여 파력발전장치의 출력을 크게 증가시킬 수 있음을 확인하였다.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.84-89
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• 2022

For system maintenance optimization, it is necessary to establish a state information system by CBM+ including CBM and RCM, and sensor selection for CBM+ application requires system process for function model analysis at the early design stage. The study investigated the contents of CBM and CBM+, analyzed the function analysis tasks and procedures of the system, and thus presented a D-FMEA based sensor selection inference methodology at the early stage of design for CBM+ application, and established it as a D-FMEA based sensor selection inference process. The D-FMEA-based sensor inference methodology and procedure in the early design stage were presented for diesel engine sub assembly.

• 한국기계가공학회지
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• 제20권4호
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• pp.119-126
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• 2021

During the development of a weapon system, the concept of maintainability is used for quantitatively predicting and analyzing the maintenance time. However, owing to the complexity of a weapon system, the standard maintenance time predicted during the system's development differs significantly from the measured time during the operation of the equipment after the system's development. According to the analysis presented in this paper, the maintenance time can be predicted by considering the system's complexity on the basis of the military specifications, and the procedure can be Part B of Procedure II and Method B of Procedure V. The maintenance work elements affected by the system complexity were identified by the analytic hierarchy process technique, and the system-complexity-reflecting weights of the maintenance work elements were calculated by the Delphi method, which involves expert surveys. Based on MIL-HDBK-470A and MIL-HDBK-472, it is going to present a Korean-style maintainability prediction method that reflects system complexity of weapons systems.

• 한국기계가공학회지
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• 제20권9호
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• pp.28-34
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• 2021

The Fourth Industrial Revolution has led to the development of drones for commercial and private applications. Therefore, the malfunction of drones has become a prominent problem. Failure mode and effect analysis was used in this study to analyze the primary cause of drone failure, and blade breakage was observed to have the highest frequency of failure. This was tested using a vibration sensor placed on drones along the breakage length of the blades. The data exhibited a significant increase in vibration within the drone body for blade fracture length. Principal component analysis was used to reduce the data dimension and classify the state with machine learning algorithms such as support vector machine, k-nearest neighbor, Gaussian naive Bayes, and random forest. The performance of machine learning was higher than 0.95 for the four algorithms in terms of accuracy, precision, recall, and f1-score. A follow-up study on failure prediction will be conducted based on the results of fault diagnosis.

• 한국군사과학기술학회지
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• 제22권3호
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• pp.341-352
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• 2019

LTV(Light Tactical vehicle) operating in our military requires higher levels of performance and durability to withstand harsher conditions than ordinary vehicles, as they must travel on both rough-train and off-road as well as on public roads. Recently, developed light tactical vehicle is developed by a variety of test evaluations in order to satisfy ROC(Required Operational Capability) by the requirement military group. However, there is no standardized driving test condition for satisfying the durability performance of Korean tactical vehicle. Therefore, this study aims to provide basic data to establish reliable driving test conditions by analyzing the maneuver conditions and the driving data in order to select the representative drive course required. To do this, we analyzed the future operational environment, the area of operation analysis and the driving information of light tactical vehicle.