• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 춘계학술대회 논문요약집
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• pp.322-322
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• 2004

최근 기계가공은 제품생산의 리드타임(lead time)의 단축 및 가공시간 단축을 통하여 비용을 절감하고 생산성을 극대화하는데 초점이 맞춰지고 있다. 고속가공(HSM： high-speed machining)은 별도의 연마 공정 없이 그 자체로 고품위, 고정도의 가공물을 생성하여 공정을 축소시키며, 가공시간을 단축시켜 생산성을 향상시킬 수 있다. 이러한 고속가공에 있어서 가공특성은 공작기계의 특성, 공구 및 가공조건뿐만 아니라 제품 형상 등의 다양한 요인에 의해 결정되어진다.(중략)

• 한국CDE학회논문집
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• 제4권1호
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• pp.43-51
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• 1999

Producing the relevant information (features) from the CAD models of CAM, called feature recognition or extraction, is the essential stage for the integration of CAD and CAM. Most feature recognition methods, however, have problems in the recognition of intersecting features because they do not handle the intersection geometry properly. In this paper, we propose a machining feature recognition algorithm, which has a solid model consisting of orthogonal primitives as input. The algorithm calculates candidate features and constitutes the Intersection Geometry Matrix which is necessary to represent the spatial relation of candidate features. Finally, it recognizes machining features from the proposed candidate features dividing and growing systems using half space and Boolean operation. The algorithm has the following characteristics: Though the geometry of part is complex due to the intersections of design primitives, it can recognize the necessary machining features. In addition, it creates the Maximal Feature Volumes independent of the machining sequences at the feature recognition stage so that it can easily accommodate the change of decision criteria of machining orders.