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적층제조 특화 설계를 위한 함수장 기반 CAD 시스템의 개발
안재승(Jaeseung Ahn),박상인(Sang-in Park) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Design for additive manufacturing (DfAM) is a design approach to maximize performance of parts based on capabilities of additive manufacturing (AM) achieved by its complex-free manufacturing process. To support DfAM activities it is important to effectively synthesize design information from three domains that are easily tailored by AM processes such as geometry, material, and manufacturing process. However, performing DfAM activities in conventional CAD systems is not effective because the conventional CAD system represent all design information by only geometric information. Thus, the design process can be time-consuming and ineffective. The goal of this research is to develop a computer aided design (CAD) system to support DfAM activities. To achieve the goal, we develop a field-driven CAD system based on the implicit geometric representation. In the proposed CAD system, the shape of a geometry is represented by a set of points that have the same level of an implicit function on a three-dimensional grid. In addition to geometric information, the proposed CAD system allows to embed various design information in material and process domains in a CAD model by assign a field of design-related functions to the grid points. The proposed CAD framework is applied to three DfAM activities such as manufacturing process mapping, lattice structure utilization and geometry correction to verify the effectiveness of the proposed CAD system.
그래프 이론 기반 적층제조 온톨로지 데이터베이스 개발과 활용
정동호(Dongho Jung),안재승(Jaeseung Ahn),유현재(Hyunjae Yoo),박여춘(Yeochoon Park),박상인(Sang-in Park) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
The ontology is a knowledge representation method by defining a set of concepts in a certain domain and abstracting relationship among concepts. In recent research, the ontology scheme has been applied to establish knowledgebase of additive manufacturing (AM) systems because AM processes utilize various physical phenomena resulting complex relationships among diverse parameters across modeling, material, and process domains. The goal of this research is to construct an additive manufacturing knowledgebase using the ontology scheme with graph representation. To do this, we firstly developed the class structure and defined relationships among the classes based on a structure of working principles structure for given additive manufacturing device. Next, we employ concept of a weight factor, which is a measure for a level of importance or impact of relationships. Finally, we convert the developed ontology representation to graph representation with proposed weight factors. The developed knowledge presentation approach is applied to construct knowledge-base for a material extrusion additive manufacturing system and verified using examples.