• 한국정밀공학회지
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• 제30권7호
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• pp.702-708
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• 2013

The white-light scanning interferometer (WSI) is an effective optical measurement system for high-precision industries (e.g., flat-panel display and electronics packaging manufacturers) and semiconductor manufacturing industries. Its major disadvantages include a slow image-capturing speed for interferogram acquisition and a high computational cost for peak-detection on the acquired interferogram. Here, a WSI system is proposed for the semiconductor inspection process. The new imaging acquisition technique uses an 'on-the-fly' imaging system. During the vertical scanning motion of the WSI, interference fringe images are sequentially acquired at a series of pre-defined lens positions, without conventional stepwise motions. To reduce the calculation time, a parallel computing method is used to link multiple personal computers (PCs). Experiments were performed to evaluate the proposed high-speed WSI system.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.195-198
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• 2002

Demand for high precision measurement of large area is increasing in many industrial fields. White-light Scanning Interferometer(WSI) is a well-known method for 3D profile measurement. However WSI has some limitations in a measurement range because of the sensing mechanism. Therefore, in this paper we use a heterodyne laser interferometer to get over the limitations of a short measurement range in WSI, We suggest a new WSI system combined with heterodyne laser interferometer. This system is aimed at eliminating Abbe error with measuring the focus point directly. With the use of triggering functionality of WSI, we can use this system as a probe of a precision stage such as a probe of CMM. The suggested system gives a repeatability of 87 nm in the absolute distance measurement test under the laboratory environment.

• 한국지능시스템학회논문지
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• 제22권6호
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• pp.694-699
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• 2012

반도체 검사 공정에 적용하기 위한 대시야 백색광간섭계(WSI ; White Light Scanning Interferometer)를 사용한 반도체 검사 결과를 본 논문에서 제시한다. 각 서브스트레이트에 있는 동일한 여러 범프에 대한 3D 데이터 반복성 측정 실험 결과를 제시한다. 각 서브스트레이트의 모든 범프에 대한 3D 데이터 반복성 측정 실험 결과를 제시한다. 반도체 검사 공정에서 3D 데이터 검사를 고속으로 달성하기 위해 대시야 백색광간섭계를 사용한 반도체 검사는 매우 중요한 의미를 갖는다. 인라인 고속 3D 데이터 검사기 개발에 본 논문이 크게 기여할 수 있다.

• 한국지능시스템학회논문지
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• 제23권4호
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• pp.286-291
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• 2013

대시야 백색광간섭계(WSI ; White Light Scanning Interferometer)를 이용하여, Flip Chip Bump 검사 공정에 적용하는 것을 목적으로 한 인라인 형태의 플립칩 범프 3차원 검사 장치를 개발한다. 여러 서브스트레이트에 있는 플립칩 범프 높이 측정 결과와 이에 의한 동일한 여러 범프에 대한 반복성 측정 실험 결과를 제시한다. 테스트 벤치에서의 실험 결과와 개발된 플립칩 범프 3차원 검사 장치에서의 실험 결과를 비교하였으며 진동의 영향이 감소되어 개선된 반복성 실험 결과를 얻을 수 있었다. 플립칩 범프 3차원 검사 장치의 검사성능을 평가할 수 있는 기준을 제시한다.

• 제어로봇시스템학회논문지
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• 제14권6호
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• pp.519-522
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• 2008

As industry of a semiconductor and LCD industry have been rapidly growing, precision technologies of machining such as etching and 3D measurement are required. Stylus has been important measuring method in traditional manufacturing process. However, its disadvantages are low measuring speed and damage possibility at contacting point. To overcome mentioned disadvantage, non-contacting measurement method is needed such as PMP(Phase Measuring Profilometry), WSI(white scanning interferometer) and Confocal Profilometry. Among above 3 well-known methods, WSI started to be applied to FPD(flat panel display) manufacturing process. Even though it overcomes 21t ambiguity of PMP method and can measure objects which has specular surface, the measuring speed and vibration coming from manufacturing machine are one of main issue to apply full automatic total inspection. In this study, We develop high speed WSI system and algorithm to reduce unknown noise. The developing WSI and algorithm are implemented to measure 3D surface of wafer. Experimental results revealed that the proposed system and algorithm are able to measure 3D surface profile of wafer with a good precision and high speed.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2011년도 춘계학술대회 논문집
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• pp.75-76
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• 2011

• 제어로봇시스템학회논문지
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• 제17권3호
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• pp.248-253
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• 2011

This paper proposes the robust matching algorithm for optical images obtained by WSI(White-light Scanning Interferometer) machine. The matching algorithms are divided by two part according to the matching points: algorithm whether the matching points between two images exist or not. Also, after matching the images, we propose the algorithm to smooth the matched image. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.