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A Design for Additive Manufacturing Ontology

机译:增材制造本体的设计

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摘要

Design for additive manufacturing (DFAM) gives designers new freedoms to create complex geometries and combine parts into one. However, it has its own limitations, and more importantly, requires a shift in thinking from traditional design for subtractive manufacturing. There is a lack of formal and structured guidelines, especially for novice designers. To formalize knowledge of DFAM, we have developed an ontology using formal web ontology language (OWL)lresource description framework (RDF) representations in the Protege tool. The description logic formalism facilitates expressing domain knowledge as well as capturing information from benchmark studies. This is demonstrated in a case study with three design features: revolute joint, threaded assembly (screw connection), and slider-crank. How multiple instances (build events) are stored and retrieved in the knowledge base is discussed in light of modeling requirements for the DFAM knowledge base: knowledge capture and reuse, supporting a tutoring system, integration into cad tools. A set of competency questions are described to evaluate knowledge retrieval. Examples are given with SPARQL queries. Reasoning with semantic web rule language (SWRL) is exemplified for manufacturability analysis. Knowledge documentation is the main objective of the current ontology. However, description logic creates multiple opportunities for future work, including representing and reasoning about DFAM rules in a structured modular hierarchy, discovering new rules with induction, and recognizing patterns with classification, e.g., what leads to "successful" versus "unsuccessful" fabrications.
机译:增材制造设计(DFAM)为设计人员提供了创建复杂几何形状并将零件组合为一体的新自由。但是,它有其自身的局限性,更重要的是,它需要从传统设计中减去用于减法制造的思维。缺乏正式和结构化的指南,特别是对于新手设计师。为了形式化DFAM知识,我们使用Protege工具中的正式Web本体语言(OWL)资源描述框架(RDF)表示形式开发了一个本体。描述逻辑形式主义有助于表达领域知识以及从基准研究中获取信息。在具有三个设计特征的案例研究中证明了这一点:旋转接头,螺纹组件(螺钉连接)和曲柄滑块。根据DFAM知识库的建模要求,讨论了如何在知识库中存储和检索多个实例(构建事件):知识获取和重用,支持辅导系统,集成到cad工具中。描述了一组能力问题以评估知识检索。 SPARQL查询给出了示例。使用语义Web规则语言(SWRL)进行推理可用于可制造性分析。知识文档是当前本体的主要目标。但是,描述逻辑为将来的工作创造了多种机会,包括在结构化的模块化层次结构中表示和推理DFAM规则,通过归纳发现新规则,并通过分类识别模式,例如,导致“成功”与“不成功”的构造的原因。

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