• Proceedings of the Korean Society Of Semiconductor Equipment Technology
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• 2005.09a
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• pp.188-192
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• 2005

나노 구동용 선형 모터는 이송체의 구동에 따른 진동과 열 특성으로 인하여 발생되는 기구간의 진동과 기계적인 마찰력 변화로 나노위치제어에 어려움이 있다. 그러므로 이송체에 대한 진동과 열에 대한 분석이 필요하다. 본 논문에서는 개발된 선형 모터의 이송체를 무부하 상태에서 유한 요소 해석을 통해 진동 특성을 분석하고 실험계획법을 적용하여 이송체에 대하여 최적화된 설계 방향을 제시하고자 한다. 또한 이송체의 진동 특성을 고려한 경량화를 통해 선형 모터의 안정된 구동을 모색하고자 한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.209-209
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• 2003

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5393-5397
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• 2011

The compressing-cutting device is used for manufacturing nano tube. the purpose of this study is to design and manufacture the compressing-cutting device witch has safety and stable performance. The most important core technology, in nano tube manufacturing, is to seam the each end of tube with appropriate pressure and to cut it off into the two part safely not to leak injected medium. Since the compressing pressure and the cutoff speed make the quality of nano tube, they are very important. This study will show the processes of design and manufacturing of compressing-cutting device.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.885-896
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• 2022

Motor failure in manufacturing plays an important role in future A/S and reliability. Motor failure is detected by measuring sound, current, and vibration. For the data used in this paper, the sound of the car's side mirror motor gear box was used. Motor sound consists of three classes. Sound data is input to the network model through a conversion process through MelSpectrogram. In this paper, various methods were applied, such as data augmentation to improve the performance of classifying fault motors and various methods according to class imbalance were applied resampling, reweighting adjustment, change of loss function and representation learning and classification into two stages. In addition, the curriculum learning method and self-space learning method were compared through a total of five network models such as Bidirectional LSTM Attention, Convolutional Recurrent Neural Network, Multi-Head Attention, Bidirectional Temporal Convolution Network, and Convolution Neural Network, and the optimal configuration was found for motor sound classification.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.6
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• pp.614-619
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• 2009

The STW(servo track writing) system which is the process of writing servo signals on disks before assembling in drives uses the spindle motor-chuck mechanism to realize low cost because the spindle motor-chuck mechanism has merit which can simultaneously write multi-disk by piling up disks in hub. Therefore, when the spindle motor-chuck mechanism of horizontal type operates in high rotation speed it is necessary to reduce the effect of RRO(repeatable run-out) and NRRO(non-repeatable run-out) to achieve the high precision accuracy of nano-meter level during the STW process. In this paper, we analyzed that the slip in assembly surfaces can be caused by the mechanical tolerance and clamping force in hub-chuck mechanism and can affect NRRO performance. We designed springs for centering and clamping considering centrifugal force by the rotation speed and assembly condition. The experimental result showed NRRO performance improves about 30 % than case of weak clamping force. The result shows that the optimal design of the spindle motor-chuck mechanism can effectively reduce the effect of NRRO and RRO in STW process.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.437-437
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• 2011

수열합성법에 의해 나노와이어를 합성하였다. 수직하고 장경비가 큰 나노와이어는 기존 Zinc nitrate와 HMTA를 각각 같은 몰 농도(0.015 mol/L)로 하고 이때 나노와이어의 밀도 조절 및 수직성장을 돕고 더 길게 자랄 수 있도록 polyethylenimine (PEI)를 포함하였으며, 이때 화학적으로 불안정한 seed layer 보호하기 위하여 증가 된 Ph 농도를 완화하기 위해 nitrate acid 를 포함한 반응 용액 내에서 생성되었다. 합성된 나노와이어는 지그재그 전극과 결합하여 리니어 모터를 통해 일정한 시간 주기로 일정한 압력을 가하여 얻은 압전특성을 관찰하고 분석하였다.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.458-460
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• 2006

본 논문은 대면적 자기부상 스태이지의 정밀급 위치제어를 위한 시스템 구성 및 제어 알고리즘에 대한 연구결과를 기술한다. 자기부상 스태이지는 16개의 동기모터에 의해 구동되며, 각 모터의 Moving 부분에 수직방향의 힘과 수평방향의 힘을 모두 발생할 수 있도록 Halbach 구조로 되어 있다. Matlab/Simulink 모델링을 수행하였으며, Simulation 결과를 벼였다.

• Proceedings of the Korean Society Of Semiconductor Equipment Technology
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• 2006.05a
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• pp.105-108
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• 2006

We investigated the fluidic gas-driven carbon-nanotube motor based on multi-wall carbon nanotubes and fluidic gas flow. Since the origination of the torque was the friction between the carbon nanotube surface and the fluidic gases, the density and the flow rate of the working gas or liquid were very important for the carbon nanotube motor. Molecular simulation results showed that multi-wall carbon nanotubes with very low rotating energy barriers could be effectively used for fluidic gas-driven carbon-nanotube motors.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1305-1307
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• 2022

자동차 부품의 결함은 시스템 전체의 성능 저하 및 인적 물적 손실이 발생할 수 있으므로 생산라인에서의 불량 검출은 매우 중요하다. 따라서 정확하고 균일한 결과의 불량 검출을 위해 딥러닝 기반의 고장 진단 시스템이 다양하게 연구되고 있다. 하지만 제조현장에서는 정상 샘플보다 비정상 샘플의 발생 빈도가 현저히 낮다. 이는 학습 데이터의 클래스 불균형 문제로 이어지게 되고, 이러한 불균형 문제는 고장을 판별하는 분류 모델의 성능에 영향을 끼치게 된다. 이에 본 연구에서는 모터의 동작음으로부터 불량 모터를 판별하는 불량 검출 시스템 설계를 위한 데이터 불균형 해결 방법을 제안한다. 자동차 사이드 미러 모터의 동작음을 학습 및 테스트를 위한 데이터 셋으로 사용하였으며 손실함수 계산 시 학습 데이터 셋의 클래스별 샘플 수 가 반영되는 label-distribution-aware margin(LDAM) loss 와 Inception, ResNet, DenseNet 신경망 모델의 비교 분석을 통해 불균형 데이터를 처리할 수 있는 가능성을 보여주었다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.11
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• pp.1613-1622
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• 2010

In this paper, the ultraprecision positioning control of an ultrasonic linear motor in a high-vacuum environment is presented. The bolt-clamped Langivin type transducer (BLT) with the 3rd longitudinal; and 6th lateral vibration modes was developed, which was excited by using the Eigen resonance frequency for two vibration modes in order to generate stable and high power. In practical applications, however, even if a geometrical design has an Eigen frequency, discordance between both mode frequencies can be generated by the contact mechanism and because of manufacturing errors as well as environmental factors. Both mode frequencies were precisely matched by adjusting the impedence. By using this method, the BLT can be driven under any environmental conditions. The nominal characteristic trajectory following(NCTF) control method was adopted to control the positioning of the system in vacuum. The developed linear motor stage show high positioning accuracy with 5 nm.