• Korean Journal of Computational Design and Engineering
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• v.10 no.1
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• pp.49-60
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• 2005

Existing CAD systems have configured geometry data and it is necessary to extend the configured geometry into a knowledge-based system. An intelligent CAD system emerged to provide such a knowledge-based system. However the intelligent CAD system has a limited product model to represent various knowledge models. This paper presents a model, called extended intelligent CAD model, which can extend the product model of the intelligent CAD system into further detailed knowledge model. The extended intelligent CAD model includes a whole design process knowledge and an efficiency of the model has been verified via a knowledge based wiper design system. The model can improve the functionality and efficiency of the existing CAD systems.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.1
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• pp.92-99
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• 2004

With the advent of computers, CAD systems are widely used for various design practice. Complexity of CAD systems and difficulty of exchanging data among different CAD systems, however, do not allow efficient use as desired. In addition, to follow variety of designers' need, CAD activities should be customized. This article proposed a methodology fer developing an intelligent CAD system and the sate-of-the-art technologies described fur customizing CAD systems using API (Application Programming Interface). A basic platform is proposed and a useful application system is implemented to enable a parametric design by directly inputting numerical values on a CAD model. Based on this application, we developed a system that makes it possible to share part family data between SolidEdge and Pro/Engineer. The proposed concept on intelligent CAD systems facilitates integration of external systems such as CAE tools and promotes the use of CAD for both engineering designers and analysts.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1995.06a
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• pp.1-25
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• 1995

This paper deals with the development of an intelligent CAD system for specifying the operation sequence in cold forging. Cold forging technology is facing with various new design requirements. Therefore, it is very important to develop a decision method for the operation sequence, with comparatively high adaptability to the new requirements. An intelligent CAD system which is the uncertain factors in human knowledge into consideration by applying fuzzy theory is established. Various actual design data about were organized, and these organized data were applied to the system as the case base. The system automatically generates the design data of operation sequence such as the forming method and the geometric data of products in each operation stage by the reasoning method applied the fuzzy pattern matching. By comparing the design results in the above system with the actual design data of a human expert, this paper presents that our method is useful for practical application.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.21 no.12
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• pp.2134-2145
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• 1997

We present a framework of an intelligent design system for embodiment design of machine tools which can support efficiently and systematically the machine design by utilizing design knowledge such as objects(part), know-how, public, evaluation, and procedures. The design knowledge of machining center has been accumulated through interview with design experts of machine tool companies. The processes of embodiment design of machining center are established and represented by the IDEF0 model from the field surveys. We also introduce a hybrid knowledge representation so that the system can easily deal with various and complicated design knowledge. The intelligent design system is being developed on the basis of object-oriented programming, and all parts of a design object, machining center, are also classified by the object-oriented modeling.

• Proceedings of the IEEK Conference
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• summer
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• pp.87-91
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• 2004

This research presents distributed database and knowledge-base modeling approach for intelligent product design system. The product design information in this study is described by a collection of rules and design knowledge that are utilized according to the product development procedures. In this work, a network-based architecture has been developed to enable dispersed designers to simultaneously accomplish remote design tasks. A client/server communication diagram has also been proposed to facilitate consistent primary information modeling for multi-user access and reuse of designed results. An intelligent product design system has been studied with the concepts of distributed database and network-based architecture in order to support concurrent engineering design and automatic design part assembly. The system provides the capability of composing new designs from proper design elements stored in the database and knowledge-base. The distributed intelligent product design is applied to the design of an automobile part as an example.

• Korean Journal of Computational Design and Engineering
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• v.16 no.3
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• pp.167-177
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• 2011

This paper describes an ontology-based intelligent CAD system for injection mold design, which has been developed based on a commercial CAD system called Unigraphics and an ontological framework for representing the implicit design knowledge as well as the explicit based on the extended function-behavior-structure (FBS) engineering design model that includes the constraint. The system also provides various convenient solid modeling capabilities for mold design and the design process modeling capability that facilitates mold redesign process.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.3
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• pp.73-80
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• 1996

In this paper, a new method of finding a sub-optimal solution of an autoplacer which places electrical components autiomatically in PCB CAD tools. The software implementation of the proposed method can be viewed as a new type of floorplan based on evolutionary programming. To solve this problem, three kinds of operators and a fitness function are designed. Computer simulation results demonstrate the usefulness and effectiveness of the proposed scheme in the light of computation time and effort.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.9
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• pp.116-123
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• 1997

We have already presented the constraint satisfaction algorithm which could solve the closed loop porblem in constraint network by using local constraint propagation, variable elimination and constraint modularization. With this algorithm, we have implemented a knowledge-based system (intelligent CAD) for supporting machine design interactively. In this paper, we present newer constraint satisfaction algorithm which can solve inequalities or under-constrained problems in constraint network, interactively and effi- ciently. This algorithm is a hybrid type of using both declarative description (constraint representation) and optimization algorithm (Simulated Annealing), simultaneously. The under-constrained problems are represented by constraint networks and satisfied completely with this algorithm. The usefulness of our algorithm will be illustrated by the application to a gear design.

• Journal of Computational Design and Engineering
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• v.1 no.1
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• pp.48-54
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• 2014

In this paper, the authors propose a system for assisting mold designers of plastic parts. With a CAD model of a part, the system automatically determines the optimal ejecting direction of the part with minimum undercuts. Since plastic parts are generally very thin, many rib features are placed on the inner side of the part to give sufficient structural strength. Our system extracts the rib features from the CAD model of the part, and determines the possible ejecting directions based on the geometric properties of the features. The system then selects the optimal direction with minimum undercuts. Possible ejecting directions are represented as discrete points on a Gauss map. Our new point distribution method for the Gauss map is based on the concept of the architectural geodesic dome. A hierarchical structure is also introduced in the point distribution, with a higher level "rough" Gauss map with rather sparse point distribution and another lower level "fine" Gauss map with much denser point distribution. A system is implemented and computational experiments are performed. Our system requires less than 10 seconds to determine the optimal ejecting direction of a CAD model with more than 1 million polygons.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.571-575
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• 2004

인쇄회로기판(PCB)을 조립 또는 검사하는 장비의 작업 프로그램 작성을 위해서는, 납땜 패드의 위치와 크기에 대한 데이터가 필요하다. CAD 파일, 거버 파일 등을 사용하여 패드를 추출하는 방법이 많이 사용되고 있으나, 본 논문은 이미지 스캐너를 사용하여 추출하는 방법을 새로이 제안한다. 제안된 방법은 통계적 영상 처리를 적용하여, 기존의 일반적인 영상처리 방식보다 기판 별 패드 색상의 차이에 강인하다. 실제 PCB 에 대한 실험을 통하여 제안 방법의 성능을 검증한다. 제시된 방법은, CAD 파일과 거버 파일의 확보가 어려운 임가공 업체 등의 생산현장에서 사용될 수 있다.