Consideration of Uncertainty in Virtual Product Design

Mosch, Lucia; Sprenger, André; Anderl, Reiner

doi:10.1115/detc2011-47278

Cited by 5 publications

(3 citation statements)

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“…Basically two possibilities to visualize knowledge from the presented experiments exist. Each possibility uses the front-end of an uncertainty-browser presented in [9,10]. The uncertaintybrowser contains the interpreted information about uncertain property, the according process and the allocation within the geometry model from the information model.…”

Section: Visualization Of Results From Experimentsmentioning

confidence: 99%

“…The uncertaintybrowser contains the interpreted information about uncertain property, the according process and the allocation within the geometry model from the information model. The geometry references are imported along the CAD-model structure and adapted with the ontology-based system [10]. For this the BRep structure is used.…”

Section: Visualization Of Results From Experimentsmentioning

confidence: 99%

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Ontology-Based Information Model for the Exchange of Uncertainty in Load Carrying Structures

Sprenger

Haydn

Ondoua

et al. 2011

AMM

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Knowledge about future process properties is crucial for the development of safe and economic products with load carrying structures. Real processes are influenced by uncertainty what causes scattering and deviation from assumed values. As a consequence, products are often oversized or even product failures can occur. To control uncertainty, extensive knowledge about future processes is necessary in the development process. This paper shows an approach for the representation of uncertainty in production-and usage-processes, according to scattering properties and their cause and effect relations. This approach is used as a common platform for storing, locating, comparing and reuse of knowledge about uncertain properties and their relations. The core of the proposed approach is an ontology-based information model with the ability to represent different levels of trusted information in relation to process parameters and cause and effect relations.

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Section: Visualization Of Results From Experimentsmentioning

confidence: 99%

Section: Visualization Of Results From Experimentsmentioning

confidence: 99%

Ontology-Based Information Model for the Exchange of Uncertainty in Load Carrying Structures

Sprenger

Haydn

Ondoua

et al. 2011

AMM

Self Cite

View full text Add to dashboard Cite

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“…The resulting parametric CAD-model structure can be used for furthermore simulations. For more details on parametric and knowledge-based CAD-design see Mosch, Sprenger and Anderl (2011). The design of the high heel, which is deduced by a mathematical optimization process, is created as a CAD-model.…”

Section: Visualization Of Uncertainties In Cad-modelsmentioning

confidence: 99%

Control of uncertainties within an interdisciplinary design approach of a robust high heel

Mosch

Adolph

Betz

et al. 2012

J. Braz. Soc. Mech. Sci. & Eng.

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Within this paper the combination of several methods, developed and used in Collaborative Research Center (CRC) 805-"Control of Uncertainties in Load Carrying Systems in Mechanical Engineering" of the DFG (German Research Foundation), is used to demonstrate the development of a load carrying system under uncertainty. The development starts with the identification of relevant uncertainties, followed by a conceptual design and a mathematical robust optimization approach. The optimized structure is used for the layout of a 3D-CAD-model which is used to print a real rapid-prototyping-model. Throughout the whole design process uncertainties are considered. To demonstrate the symbiosis of these methods an example is chosen. Usually, CRC 805 deals with load carrying systems in mechanical engineering. To let this topic become more vivid and to show that the methods can be transferred to other fields, the design of a robust high heel is taken as an example. At the end of the work three high heels are developed and evaluated regarding their robustness against uncertainties.

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