Einsatz wissensbasierter Features für die automatische Konfiguration von Produktkomponenten (English shop)

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Computer-integrated product development is characterised by the use of parametric 3D CAD systems, which primarily support the development and design of components in the field of variant and adaptive design. Feature-based systems are mainly employed here, aiming at a semantic linkage of the various phases of the product development process on the basis of a virtual product model.

The aim of the present work is to extend feature-based modelling methods through the use of knowledge-based components, in order to enable automatic product configuration and thus further accelerate the process of generating virtual prototypes. One focus was placed on mastering variable topological configurations.

Initially, the existing capabilities of parametric CAD systems in the field of knowledge-based design were examined. On the basis of these analyses, rule-based components were identified as a suitable means for generating knowledge-based features. Using the rotor components of a single-shaft compressor as an example, a design methodology based on design modules was then developed, enabling the structured build-up of the virtual prototype. To this end, the product is subdivided into functional units. The individual design modules are linked to one another by means of connectors. Each design module accesses data used across processes via a database connection in order to determine the final geometric configuration, whereby the control of the geometry and of the data provision is carried out by the feature-internal rule-based components. The result of the configuration process is a structured virtual product model.

The work demonstrates the necessity of structured model creation taking into account the requirements of design in downstream processes of product development. Furthermore, using the example of flow channel structures in the plastics-processing industry, the necessity of using knowledge-based features for the integrative coupling of product model and numerical simulation model for automatic fluid-dynamic optimisation was demonstrated.