• Advanced Composite Materials
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• 제17권1호
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• pp.41-56
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• 2008

In this research, optical fiber sensors and shape memory alloys (SMA) were incorporated into sandwich panels for development of a smart honeycomb sandwich structure with damage detection and shape recovery functions. First, small-diameter fiber Bragg grating (FBG) sensors were embedded in the adhesive layer between a CFRP face-sheet and an aluminum honeycomb core. From the change in the reflection spectrum of the FBG sensors, the debonding between the face-sheet and the core and the deformation of the face-sheet due to impact loading could be well detected. Then, the authors developed the SMA honeycomb core and bonded CFRP face-sheets to the core. When an impact load was applied to the panel, the cell walls of the core were buckled and the face-sheet was bent. However, after the panel was heated over the reverse transformation finish temperature of the SMA, the core buckling disappeared and the deflection of the face-sheet was relieved. Hence the bending stiffness of the panel could be recovered.

• Advanced Composite Materials
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• 제17권2호
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• pp.125-137
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• 2008

FBG (Fiber Bragg Grating) sensors and optical fibers were embedded into CFRP dry preforms before resin impregnation in VaRTM (Vacuum-assisted Resin Transfer Molding). The embedding location was the interface between the skin and the stringer in a CFRP-stiffened panel. The reflection spectra of the FBG sensors monitored the strain and temperature changes during all the molding processes. The internal residual strains of the CFRP panel could be evaluated during both the curing time and the post-curing time. The temperature changes indicated the differences between the dry preform and the outside of the vacuum bagging. After the molding, four-point bending was applied to the panel for the verification of its structural integrity and the sensor capabilities. The optical fibers were then used for the newly-developed PPP-BOTDA (Pulse-PrePump Brillouin Optical Time Domain Analysis) system. The long-range distributed strain and temperature can be measured by this system, whose spatial resolution is 100 mm. The strain changes from the FBGs and the PPP-BOTDA agreed well with those from the conventional strain gages and FE analysis in the CFRP panel. Therefore, the fiber-optic sensors and its system were very effective for the evaluation of the VaRTM composite structures.

• 한국시뮬레이션학회논문지
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• 제14권4호
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• pp.1-8
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• 2005

In a metal grating manufacturing process, the cutting operation allocates the gratings and cut them out from given panels or a plate sheets. Before the cutting operation an operator generates a cutting plan. The cutting plan should decide how pieces of metal rectangles i.e., gratings, are allocated and cut from the panel. This plan generation is a deal of weight on the production cost. the generation of cutting plan is similar to the general two-dimensional cutting problem. In this paper, we first define cutting problem and Af algorithm of Artificial Intelligence to solve the problem. Also, through a simulation, we compare the proposed cutting algorithm to an existing method in terms of material loss

• 한국레이저가공학회지
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• 제8권1호
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• pp.39-44
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• 2005

We report experimental results on the periodic patterning using a Ti:sapphire femtosecond laser (800nm, 100fs, 1kHz). Periodic structures with reproducible basic patterns are produced both on the surface and inside transparent materials. Period patterning for the application to display panel is widely investigated. Also, the submicron dot and line patterns are fabricated inside fused silica glass, which is important for the formation of diffraction grating in integrated optical circuit. finally, we demonstrate the utility of the femtosecond laser application to optical memory by fabricating the three-dimensional dot patterns.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.1223-1227
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• 2005

Fine microgroove is the key component to fabricate micro-grating, micro-grating lens and so on. Conventional groove fabrication methods such as etching and lithography have some problems in efficiency and surface integrity. This study deals with the creation of ultra-precision micro grooves using non-rotational diamond tool and CNC machining center. The shaping type machining method proposed in the study allows to produce V-shaped grooves of $40\mu{m}$ in depth with enough dimensional accuracy and surface. For the analysis of machining characteristics in micro V-grooving, three components of cutting forces and AE signal are measured and processed. Experimental results showed that large amplitude of cutting forces and AE appeared at the beginning of every cutting path, and cutting forces had a linear relation with the cross-sectional area of uncut chip thickness. From the results of this study, proposed micro V-grooving technique could be successfully applied to forming the precise optical parts like prism patterns on light guide panel of TFT-LCD.

• 대한전자공학회논문지SD
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• 제37권9호
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• pp.38-46
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• 2000

본 논문에서는 신뢰성이 높고, 효율적으로 최적해에 도달하는 GA 학습기법을 광 연결에 응용하기 위한 소자 설계에 적용하였다. 실시간에 가까운 광 신호 처리를 위해 프로그래머블 SLM에 CGH 공간 필터를 입력하여 복합 광 신호 처리 시스템을 구성하여 실험하였다. 광학 실험에 의해 실제로 CCD 배열 검출기에서 얻어진 스폿 빔을 정략적인 데이터로 측정하기 위해 기하학적인 변형을 수행한 결과, $3{\times}3$ 스폿 빔에 대하여 그레이 레벨로서 스폿 빔들의 평균이 202, 최대값이 225, 최소값이 186으로 얻어졌고, 균일도가 $1.93{\times}10^{-1}$ 로서 시뮬레이션 결과와 유사하게 안정된 분포로 출력되었다.

• Composites Research
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• 제24권1호
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• pp.24-30
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• 2011

복합재 구조물에서 발생하는 저속 충격에 의한 손상은 대부분 복합재의 내부나 충격을 받은 면의 반대 면에서 발생하기 때문에 검출이 쉽지 않아 시간이 지날수록 구조물이 위험에 처할 확률이 높아진다. 하지만 기존의 비파괴검사 방법은 일정한 주기에 따라 수행되기 때문에 즉각적으로 충격 손상을 감지할 수 없다는 단점이 있다. 따라서 최근에는 이러한 단점을 극복하고자 비파괴검사 장비를 구조물 내에 탑재하여 실시간으로 구조물의 건전성을 확인하는 개념인 구조 건전성 모니터링에 관한 연구가 활발히 진행되고 있다. 그 중의 하나인 충격 모니터링 시스템은 운용 중에 발생한 충격 이벤트를 감지하고 그 위치 및 손상 정도에 대한 정보를 제공해 주어야 한다. 이를 위한 첫 번째 단계로 본 연구에서는 복합재 평판 및 복잡한 복합재 시편 구조물에 FBG 센서를 부착하여 충격 위치 검출 시험을 수행하였고, 이와 같은 복합재 시편에 대해 충격 파손 시험을 수행하여 손상 발생 유무를 예측하는 시험을 수행하였다. 저속 충격에 의해 발생하는 음향 파는 (주)파어버프로에서 개발한 고속 FBG interrogator를 사용하여 4개의 다중화된 FBG 센서로부터 동시에 취득하였고, 신경회로망을 이용한 학습을 거쳐 충격 발생 위치를 검출하였다. 또한 충격 파손 시험으로부터 취득한 음향 파의 웨이블릿 변환을 통해 충격 손상의 발생 유무 예측 가능성을 확인하였다.