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When developing products, engineers face challenges in solving technical, economical, but also ecological conflicts of objectives. A common technical conflict is the contradictory behaviour between the stiffness and mass of components. A possibility to resolve this contradiction is offered by multimaterial components, which are made possible by a loadoptimised design.Taking the example of topology-optimised multi-material components, this article shows a method for taking the ecological impact of raw material extraction into account in selecting suitable designs by offsetting a performance index with the results of ecological impact assessment calculations. These results are analysed in order to identify a possible solution according to the technical-ecological conflict of objectives.

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.

The development of a novel manufacturing process chain is a complex scientific challenge and requires interdisciplinary and inter-institutional collaboration. Data need to be exchanged continuously between involved researchers in order to coordinate between individual process steps and to identify cause-effect relationships within the process. This publication describes an approach to provide seamless digital access to quality-related data and to further structure, semantically annotate and link process-and quality-relevant data. It uses a domain-specific ontology called Visual Inspection Ontology embedded in a Knowledge Management System to support the documentation of a qualitydetermining process. The ontology is applied to a use case from the development of a novel process chain to manufacture multi-material shafts within the Collaborative Research Centre (CRC) 1153. A workflow to establish quality control measures regarding a novel process chain for multi-material highperformance components under development based on the proposed ontology is presented.