TY - JOUR

T1 - Process Chain-Oriented Design Evaluation of Multi-Material Components by Knowledge-Based Engineering

AU - Herrmann, Kevin

AU - Plappert, Stefan

AU - Gembarski, Paul Christoph

AU - Lachmayer, Roland

N1 - Funding Information: The results of this publication have been developed within the framework of the Collaborative Research Center 1153 “Process Chain for the Manufacture of Hybrid High-Performance Components by Tailored Forming” within the subproject C02. The authors would like to thank the German Research Foundation (DFG) for financial and organizational support of the project (project number: 252662854). In addition the publication of this article was funded by the Open Access Fund of Leibniz Universität Hannover.

PY - 2023/5/10

Y1 - 2023/5/10

N2 - 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.

AB - 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.

KW - constraint satisfaction problem

KW - design for manufacturing

KW - knowledge based engineering

KW - process chain

KW - product development

KW - tailored forming

UR - http://www.scopus.com/inward/record.url?scp=85160207534&partnerID=8YFLogxK

U2 - 10.3390/a16050247

DO - 10.3390/a16050247

M3 - Article

AN - SCOPUS:85160207534

VL - 16

JO - Algorithms

JF - Algorithms

IS - 5

M1 - 247

ER -