• Design & Manufacturing
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• 제13권2호
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• pp.17-21
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• 2019

In this study, selective laser sintered 3D printing mold core and metal core were used to investigate the difference of the thickness shrinkage from the gate of the injection molded part at a constant interval. SLS 3D printing mold core was made of nylon-based PA2200 powder and the metal core was manufactured by conventional machining method. As the PA2200 powder material has low strength, thermal conductivity and high specific heat characteristics compared with metal, molding conditions were set with the consideration of molten temperature and injection pressure. Crystalline resin(PP) and amorphous resin(PS) with low melting temperature and viscosity were selected for the injection molding experiment. Cooling time for processing condition was selected by checking the temperature change of the cores with a cavity temperature sensor. The cooling time of the 3D printing core was required a longer time than that of the metal core. The thickness shrinkage of the molded part compared to the core depth was measured from the gate by a constant interval. It was shown that the thickness shrinkage of the 3D printing core was 2.02 ~ 4.34% larger than that of metal core. In additions, in the case of metal core, thickness shrinkage was increased with distance from the gate, on the contrary, in the case of polymer core showed reversed aspect.

• 보존과학회지
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• 제35권3호
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• pp.217-225
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• 2019

왕흥사지 치미는 현존하는 우리나라 최고(最古)의 치미로 왕흥사의 동건물지 남측에서 상단이, 북측에서 하단이 출토되었다. 2개의 치미는 조형적 특징이 유사하고 동일한 건물지의 양쪽에서 출토된 점을 미루어 볼 때, 한 쌍의 치미인 것으로 판단되는데, 2점 모두 유실부가 큰 관계로 본래의 모습을 확인하지 못하는 아쉬움이 있다. 따라서 본 연구에서는 왕흥사지 치미의 역사적 가치 회복을 위해 3차원 스캐닝과 컴퓨터 수치제어 기술(computer numerical control, 이하 CNC)을 이용하여 유실부의 복원품을 제작하였다. 유실부 복원은 조형적 특성을 기준으로 진행되었으며, 특히 국내 치미에서 휘어짐 현상이 관찰됨에 따라 실제 편의 휘어지는 방향을 토대로 모델링데이터가 자연스럽게 휘어지도록 수차례 수정하였으며 상 하단 문양의 자연스러운 연결과 경계면의 이격이 발생되지 않는 것에 중점을 두어 진행하였다. 이를 통해 3D 스캐닝과 CNC를 접목한 복원 방법은 비접촉식으로 유물에 손상을 주지 않고 작업성과 재현성이 우수하여 유물 복원에 적합함을 확인하였다. 뿐만 아니라, 모델링 데이터는 반영구적으로 사용이 가능한 바, 유물의 특성에 맞게 활용된다면 향후 문화유산 복원분야를 비롯한 사이버 가상 전시, hands-on 전시와 같은 다양한 형태의 전시와 교구 및 기념품 제작 등 다양한 분야에서도 활발히 활용될 것으로 사료된다.

• 한국산업융합학회 논문집
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• 제24권6_2호
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• pp.729-735
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• 2021

Recently Artificial Intelligence(AI) has been developed and used in various fields. Especially AI recognition technology can perceive and distinguish images so it should plays a significant role in quality inspection process. For stability of autonomous driving technology, semiconductors inside automobiles must be protected from external electromagnetic wave(EM wave). As a shield film, a thin polymeric material with hole shaped micro-patterns created by a laser processing could be used for the protection. The shielding efficiency of the film can be increased by the hole structure with appropriate pitch and size. However, since the sensitivity of micro-machining for some parameters, the shape of every single hole can not be same, even it is possible to make defective patterns during process. And it is absolutely time consuming way to inspect all patterns by just using optical microscope. In this paper, we introduce a AI inspection system which is based on web site AI tool. And we evaluate the usefulness of AI model by calculate Area Under ROC curve(Receiver Operating Characteristics). The AI system can classify the micro-patterns into normal or abnormal ones displaying the text of the result on real-time images and save them as image files respectively. Furthermore, pressing the running button, the Hardware of robot arm with two Arduino motors move the film on the optical microscopy stage in order for raster scanning. So this AI system can inspect the entire micro-patterns of a film automatically. If our system could collect much more identified data, it is believed that this system should be a more precise and accurate process for the efficiency of the AI inspection. Also this one could be applied to image-based inspection process of other products.