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The objective of this study is to provide the design domain with knowledge about restrictive geometric parameters for AM-compatible part design. This knowledge is derived from the existing technical plant configuration and its component parameters. Parameter relationships between the AM plant configuration and the design parameters are derived from technical documentations and guidelines. The system model of an AM plant is built in SysML to formalise the complex relationships of the restrictive parameters relevant for part design depending on the AM system configuration. AM Manufacturing Models are introduced to calculate the technical constraints between AM plant components and restrictive design parameters. AM Plant Models are developed to formalise the configuration of a plant with the required parameters for the AM Manufacturing Models. A GUI is conceptualized for easy configuration setup of an AM plant.

The objective of this study is to develop and implement an analysis tool that identifies CAD geometries which impair Additive Manufacturing. A key performance indicator is generated to be used as data label representing the manufacturability for a future application of AI. Relevant geometric features are identified and algorithms to evaluate critical features are developed. The analyses include part orientation, build volume, wall thicknesses, gap widths, bore and cylinder diameters as well as the process-specific factors powder removal and need for support structures. The manufacturability of a part is calculated as Additive Manufacturing Feasibility Indicator (AMFI), depending on the identified critical features and a user-specific weighting. The AMFI successfully serves as data label which is suitable for application in AI methods. The developed GUI supports designers by highlighting critical features directly in the CAD environment and allowing the user in a purposeful part optimization for AM.

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