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검색결과 13건 처리시간 0.02초

선각 거어더의 최종 몇 잔류종강도 추정 시스템 재발 (Development of Longitudinal Ultimate and Residual Strength Estimation System for Hull Girder Structure)

  • 함주혁;김을년
    • 대한조선학회논문집
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    • 제32권3호
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    • pp.107-115
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    • 1995
  • 본 연구에서는 선체 구조설계자가 초기설계단계에서 선각거어더의 최종 또는 잔류 종강도를 쉽게 평가할 수 있는 시스템을 SUN4 워크스테이션의 Open-Window상에 구축하였다. 즉, 현재 기본적으로 이루어지고 있는 탄성 단면계수 계산을 위한 입력정보만을 사용하여 최종 종강도 계산이 가능하도록 하기 위하여 최종종강도를 평가할 수 있는 기존의 여러 방법들을 살펴보고, 실선과 모형 Box-Girder들의 수치해석 및 실험결과들에 적용하여 비교적 유용한 방법을 선정하였다. 선정된 식 및 조사된 몇가지 식을 선각 거어더의 탄성 또는 완전소성단면계수 계산과정과 연결하여 선체가 건전한 상태(Intact Condition) 혹은 좌초나 충돌등에 의하여 손상을 받았을 때(Damaged Condition)의 최종 또는 잔류강도를 계산할 수 있게 하였다. 또한 사용자의 편리를 위하여 이 흐름을 마우스버튼을 사용하는 화면운용체계하에서 작업이 이루어지도록 구성하였으며, 3차원 그래픽환경을 구축하여 종강도 구조부재의 만성 또는 완전소성 응력상태를 제시하게 하였다. 마지막으로 개발시스템은 여러 형태의 실제 건조선박(약 20척)에 적용하여 최종 종강도평가를 수행하고 그들 분포특성 및 구조가 취약한 선박등을 파악하였으며, 설계 종굽힘모우먼트에 대해 새깅 및 호깅상태 모두 평균적으로 약 2배가 되는 최종 종굽힘모우먼트를 가지고 있음을 확인하였다.

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컴퓨터 시뮬레이션을 이용한 임플란트 상부 티타늄 구조물의 주조방안 (CONFUTER-AIDED CASTING DESIGN FOR IMPLANT TITANIUM SUPERSTRUCTURES)

  • 오세욱;이호용;이근우;심준성
    • 대한치과보철학회지
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    • 제41권4호
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    • pp.421-439
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    • 2003
  • Statement of problem : It is difficult to obtain a good titanium casting body using the traditional sprue design because of high melting point of Ti, and the low fluidity and high reactivity of molten Ti. Purpose : A new sprue design for titanium casting bodies needs more trial and error. In order to decrease the number of trial and error, computer simulation(MAGMASOFT, Magmasoft Giessereitechnologie GmbH, Achen, Germany) was used to optimize sprue design in U-shaped implant superstructures. Material and method : Five kinds of sprue were examined for the design of the sprue former for titanium casting: Sprue design A(sprue length 4 mm, rectangular shape, 4 sprues), Sprue design B(sprue length 4 mm. round shape. radius 2 mm, 7 sprues), Sprue design C (sprue length 2 mm, round shape, radius 2 mm, 7 sprues). Sprue design D (sprue length 2 mm, cone shape, large radius 3mm. small radius 2mm, 7 sprues), and Sprue design E( sprue length 2 mm. one unit channel shape). Sprue design F(sprue length 2mm, one unit channel shape) was also examined for the design of the customized sprue former in the Biotan system(Schutz Dental Gmbh, Germany). The casting bodies were taken in Sprue design A, Sprue design D, Sprue design E, and Sprue design F in the Biotan casting system. The numerically predicted defects were compared with the experimental dental castings by the radiographic and sectional view observations. Results : 1. According to the result of computer simulation, turbulence during mold filling was decreased in the sequence of Sprue design F, Sprue design E, Sprue design D, Sprue design C, Sprue design B, and Sprue design A. 2. The calculated solidification time contours indicate that hot spot was moved from the casting body to the sprue button in the sequence of Sprue design A, Sprue design B, Sprue design C, Sprue design D, and Sprue design E. The filling pattern of Sprue design F was similar to that of Sprue design E. 3 The predicted filling pattern shows that less turbulence was found in the customized sprue former than in the standard sprue former. 4. According to the results of the radiographic and cross sectional observations, casting defects less than 1mm were found at the center of a casting body with Sprue design E and Sprue design F. However, larger casting defects of 4mm were found in a casting with Sprue design A. 5. The predicted casting porosity was similar to that of the real casting. Conclusion : One unit channel-type and customized sprue former can be recommended. Further research and developement of various sprue designs using computer simulation in necessary to optimize casting design, in order to reduce the formation of casting defects in implant titanuim super-structures.

인공지능(AI)을 활용한 미세패턴 불량도 자동화 검사 시스템 (Automated Inspection System for Micro-pattern Defection Using Artificial Intelligence)

  • 이관수;김재우;조수찬;신보성
    • 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.