• Proceedings of the KAIS Fall Conference
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• 2001.05a
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• pp.249-252
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• 2001

본 논문은 사출성형제품의 런너시스템 설계를 합리적으로 수행하기 위해 사출금형설계전문가의 축적된 지식과 경험을 발췌ㆍ정리하여 지식베이스를 작성하였으며, 설계에 필요한 제품의 형상정보를 제공하기 위해 총칭형상과 특징형상 개념을 이용하여 특징형상을 정의하였다. 또한 지식베이스를 통해 산출된 설계결과를 기하학적 모델러와의 인터페이스를 통해 3차원 형상으로 보여지도록 하였으며, 최종 생성된 3차원 기하학적 형상정보는 CAE 모듈이나 CAPP 모듈에서의 후속작업을 위해 제공될 수 있도록 구축되었다.

• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.33-40
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• 2000

Computer Aided Process Planning (CAPP) plays a key role by linking CAD and CAM. Given CAD data of a part, CAPP has to recognize manufacturing features of the part. Despite the long history of research on feature recognition, its research results have rarely been transferred into industry. One of the reasons lies in the separation of feature recognition and process planning. This paper proposes to integrate the two activities through AI techniques, and presents efforts for manufacturable feature recognition, setup minimization, feature dependency construction, and generation of an optimal machining sequence.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.1
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• pp.31-40
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• 1992

This paper presents an automatic feature recognition system for recognizing and extracting feature information needed for the process planning input from a 3D CAD system. A given part is modeled by using the AutoCAD and feature information is automatically extracted from the AutoCAD database. The type of parts considered in this study is prismatic parts composed of faces perpendicular to the X, Y, Z axes and the types of features recognized by the proposed system are through steps, blind steps, through slots, blind slots, and pockets. Features are recognized by using the concept of convex points and concave points. Case studies are implemented to evaluate feasibilities of the function of the proposed system. The developed system is programmed by using Turbo Pascal on the IBM PC/AT on which the AutoCAD and the proposed system are implemented.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.623-628
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• 2003

제품의 개발 및 생산 과정에는 설계, 해석, 가공, 검사 등의 많은 부문이 서로 밀접하게 연계되어 있고 각 부문 간에는 각기 서로 다른 형태의 정보를 필요로 하기 때문에 이들의 유기적인 통합을 위해서는 각각의 응용 분야에서 요구되는 다양한 정보가 효과적으로 제공될 필요가 있다. 본 연구에서는 특징형상을 이용하여 설계 기능과 다른 응용 부분을 유기적으로 연계할 수 있는 알고리즘을 제시한다. ISO에서 진행 중인 STEP의 Form Feature을 기준으로 일반적인 분류를 하고 이를 기초로 특징형상을 인식하고자 하였다. 이를 위해 B-Rep 데이터로부터 Face-Edge Graph를 구성하고 다중 절점(Cut Node)을 인식하였으며, 본 연구를 바탕으로 하여 향후 몇 가지 단점을 보완하고 대상 영역을 확대시켜 감으로써 Computer-aided Design 시스템으로부터 얻어지는 3차원 형상 데이터로부터 Computer-aided Process Plan을 위해 필요한 특징형상을 컴퓨터에 의해 자동으로 추출하기 위한 발판을 구축할 수 있을 것이다.

• ICROS
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• v.3 no.1
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• pp.60-65
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• 1997

본 고에서는 생산정보 처리 기술 중에서, 컴퓨터 이용설계와 공정설계(CAPP) 분야에서의 생산정보 통합 활용에 필요한 특징형상과 부품 관련 생산정보 통합 활용에 필요한 데이터베이스 설계라는 두 가지 경우에 국한하여 생산정보를 통합 활용하려는 연구 결과를 정리한다. 즉 밀링 가공 공정을 대상으로 "지적 공정설계 기술 개발" 과제를 통해 얻은 50개의 특징형상과, "S사 금형공장 생산관리 시스템 개발" 과제를 통해 얻은 데이터베이스 설계 방법이 정리되어 있지 않고 CAD/CAPP 통합 및 생산관리 시스템 구축이라는 일부 예에 불과하나, 새로운 연구 분야인 생산정보 통합 기술의 정립에 도움이 되기를 기대한다.술의 정립에 도움이 되기를 기대한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.135-135
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• 2003

• Journal of the Korea Academia-Industrial cooperation Society
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• v.2 no.2
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• pp.33-37
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• 2001

The synthesis of gates of injection-molded parts has been done empirically, since it requires profound knowledge about the gate design,. which is not available to designers through current CAD systems. GATEWAY is a knowledge module which contains knowledge to Permit non-experts as well as mold design experts to generate acceptable gate design of injection-molded parts. A knowledge-based CAD system is constructed by adding the knowledge module, GATEWAY, for gate synthesis and appropriate CAE programs for mold design analysis to an existing geometric modeler to provide designers, at the initial stage, with comprehensive process knowledge for gate synthesis. Performance analysis and feature-based geometric modeling.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.75-81
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• 2011

Protein molecules are combined with another ones which have similar shapes at pocket positions. The pocket positions can be good references to describe the shapes of protein molecules. Harris corner detector is commonly used to detect feature points of 2 or 3D objects. Feature points can be found on the pocket areas and the points which have high derivatives. Generally speaking, the densities of feature points are relatively high at pocket areas because the shapes of pockets are concave. The pocket areas can be decided by the subdivision of voxel cubes which include feature points. The Euclidean distances between feature points and the central coordinate of the decided pocket area are calculated and sorted. The graph of sorted distances describes the shape of a protein molecule and the distribution of feature points. Therefore, it can be used to classify protein molecules by their shapes. Even though the shapes of protein molecules have been distorted with noises, they can be recognized with the accuracy more than 95 %. The accurate shape recognition provides the information to predict the binding properties of protein molecules.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.1
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• pp.38-45
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• 1993

The feature based modeling approach is useful for post-CAD related works such as process planning and NC part programming. This paper describes the development of 'FeaTURN' system which is feature based NC part programming system for turning operation. The programming task in 'FeaTURN' system becomes easy and effective with the assistance of feature icons. The manufacturing attributes can be handled toghther with the features during input procedure. The cutter location data (CLD) is determined by the processor module. The post process module converts the CL data to machine control data (MCD). Also, the system graphically displays the tool path.

• The Transactions of the Korea Information Processing Society
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• v.1 no.4
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• pp.551-558
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• 1994

This paper proposes the algorithm of the feature extraction, making polyline- shape according to extracted points and similarity test on the object represented by contour. The control points which can make approximate curve are extracted as features of the object. Experiments show that this algorithm is a effective method for identification between different shapes.