48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition 2010
DOI: 10.2514/6.2010-1315
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The KNOMAD Methodology for Integration of Multidisciplinary Engineering Knowledge Within Aerospace Production

Abstract: The paper is associated with the integration of multi-disciplinary knowledge within a Knowledge Based Engineering (KBE)-enabled design framework. To support this integration effort, the KNOMAD methodology has been devised. KNOMAD stands for Knowledge Optimized Manufacture And Design and is a methodology for the analytical utilisation of multi-disciplinary engineering knowledge within design. The KNOMAD acronym can also be used to highlight KNOMAD's formalized process of: (

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Cited by 6 publications
(3 citation statements)
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“…The use of descriptive languages has its roots in the methodology used to build KBE systems, such as MOKA (methodology for knowledge-based engineering applications) [12] or KNOMAD [13], which describe metamodels used in the development of complex technical systems. Metamodels allow us to define the structure of the knowledge base that is used in KBE systems based on these methodologies.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The use of descriptive languages has its roots in the methodology used to build KBE systems, such as MOKA (methodology for knowledge-based engineering applications) [12] or KNOMAD [13], which describe metamodels used in the development of complex technical systems. Metamodels allow us to define the structure of the knowledge base that is used in KBE systems based on these methodologies.…”
Section: Methodsmentioning
confidence: 99%
“…In the case of creating a generative model, the role of the designer is completely different [14]. In this case, the designer, together with the knowledge engineer, tries to identify the appropriate geometric features of the object and develops a set of parameters and rules that describe the given features [13,14]. The result of these activities is a CAD model that allows the automatic generation of specific design features based on the assumed input data.…”
Section: Methodsmentioning
confidence: 99%
“…A critical issue of knowledge-based product modelling is capturing, classifying, structuring, and managing the captured knowledge. Since there is no clear formalised link between a generic product model and an interoperable format in the KBE environment [5][6][7], it is essential to provide well-defined knowledge classes and a formalised knowledge capture method for individuals, enterprises and industries to capture and share knowledge instead of using informal oral communication or notes and spreadsheets in different formats. In this paper, geometric data contained in a CAD file is regarded as "geometry information", and non-geometric information, such as experience, expertise and design rules, is called "knowledge".…”
Section: Introduction 11 Backgroundmentioning
confidence: 99%