Process Chain-Oriented Design Evaluation of Multi-Material Components by Knowledge-Based Engineering

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Herrmann, K.; Plappert, S.; Gembarski, P.C.; Lachmayer, R.: Process Chain-Oriented Design Evaluation of Multi-Material Components by Knowledge-Based Engineering. In: Algorithms 16 (2023), Nr. 5, 247. DOI: https://doi.org/10.3390/a16050247

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Sum total of downloads: 29




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Abstract: 
The design of components suitable for manufacturing requires the application of knowledge about the manufacturing process chain with which the component is to be manufactured. This article presents an assistance system for decision support in the context of design for manufacturing. The assistance system includes explicit manufacturing process chain knowledge and has an inference engine that can automatically evaluate the manufacturability of a component design based on a given manufacturing process chain and resolve emerging manufacturing conflicts by making adjustments on the component or resource side. A link with a CAD system additionally enables the three-dimensional representation of derived manufacturing stages and manufacturing resources. Within the assistance system, a manufacturing process chain is understood as a configurable design object and is implemented via a constraint satisfaction problem. Furthermore, the required abstraction of manufacturing processes within finite domains can be reduced to the extent that necessary modeling resolution is achieved by incorporating empirical or simulative surrogate models into the CSP. The assistance system was conceptually validated on a tailored forming process chain for the production of a multimaterial shaft and provides added value, as valuable manufacturing information for component designs is automatically derived and made available in explicit form during the component development.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Fakultät für Maschinenbau

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1 image of flag of Germany Germany 21 72.41%
2 image of flag of United States United States 6 20.69%
3 image of flag of Indonesia Indonesia 1 3.45%
4 image of flag of France France 1 3.45%

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