Uncertainty in load carrying systems e.g. may result from geometric and material deviations in production and assembly of its parts. In usage, this uncertainty may lead to not completely known loads and strength which may lead to severe failure of parts or the entire system. Therefore, an analysis of uncertainty is recommended. In this paper, uncertainty is assumed to occur in processes and an approach is presented to describe uncertainty consistently within processes and process chains. This description is then applied to an example which considers uncertainty in the production and assembly processes of a simple tripod system and its effect on the resulting load distribution in its legs. The consistent description allows the detection of uncertainties and, furthermore, to display uncertainty propagation in process chains for load carrying systems.
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.
In this paper an approach for controlling uncertainties in load-carrying systems in virtual product development during the phase of product design will be presented. In design, manufacturing and usage of technical products uncertainties arise according to process properties and they influence products properties. Many of these properties impact each other. These facts lead to deviation of expected property values which are shown for example in the approximation of stress and strength. In cases of load carrying systems misjudgment can lead to disastrous consequences. In this paper an approach for the visualization of information about uncertainty in loadcarrying systems in CAD (Computer Aided Design)-systems within the Collaborative Research Center (CRC) 805: "Control of Uncertainty in Load-Carrying Systems in Mechanical Engineering" funded by the DFG (Deutsche Forschungsgemeinschaft) will be described. The representation of the properties' interdependency is to be expressed by an ontology based system. The visualization of the properties and the information about uncertainty is demonstrated in a CADsystem.
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.
In design, manufacturing and usage of technical products uncertainty arises according to process properties and results in influence of products properties. In current CAD-systems, where products and product properties are presented, uncertainty is not considered yet. In this paper, we propose a new enhanced concept for the visualization of information about uncertainty in CAD-systems. The presentation of uncertainty is realized on basis of three-dimensional parametric models in a CAD-system and an implemented uncertainty-browser. The uncertainty-browser acts as a graphical user interface to categorize information about uncertainty, the processes and product properties. Beyond that, information about uncertainty will be visualized as annotations referring to chosen properties. Being aware of information about uncertainty during product design, the engineer is able to improve his product. The representation of uncertainty is based on an ontology based information system for supporting the collection and categorization of information about processes, products and uncertainty.
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