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RISS 인기검색어
- 검색키워드
- 저자 : Hidekazu Kamei (검색결과 2 건)
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Automatic detection of the optimal ejecting direction based on a discrete Gauss map
Inui, Masatomo,Kamei, Hidekazu,Umezu, Nobuyuki Society for Computational Design and Engineering 2014 Journal of computational design and engineering Vol.1 No.1
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.
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Automatic Detection of the Optimal Ejecting Direction Based on a Discrete Gauss Map
Masatomo Inui,Nobuyuki Umezu,Hidekazu Kamei (사)한국CDE학회 2013 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8
In this paper, the authors propose a system for assisting mold designers of plastic parts. Plastic parts are usually produced by the injection molding. In this method, the formed part must be removed from the mold core in a single ejecting direction. With a CAD model of a part, the system automatically determines the optimal ejecting direction of the part with the minimum undercuts. Two methods are introduced for improving the performance and the accuracy of the authors’ prior system. New point distribution method for the discrete Gauss map is adopted which is based on the architectural geodesic dome concept. Hierarchical structure is also introduced in the point distribution, a higher level “rough” Gauss map with sparse point distribution and another lower level “fine” Gauss map with much dense point distribution. By using this discrete Gauss map representation, a new algorithm is developed for computing the optimal ejecting direction. An experimental system is implemented and computational experiments are performed. Our system needs less than 30 seconds for determining the optimal ejecting direction of a CAD model with more than 1 million polygons.
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