Asami, Mohammad KarimMohammad KarimAsamiPrathveraj, ShettyShettyPrathverajPrathamesh, PatilPatilPrathameshRöver, TimTimRöverEmmelmann, ClausClausEmmelmann2025-03-102025-03-102025-03-10https://hdl.handle.net/11420/54730This dataset highlights a specialized application of automation and optimization of infill structures using the Synera platform. By developing a Synera code to automatically apply infill structures to any model, the design process becomes significantly more efficient, allowing engineers to expedite the transition from concept to production. The practical relevance of this technology is demonstrated in its application to injection molds for bipolar plates within the Metal Injection Molding (MIM) process. Bipolar plates are critical components in fuel cells that require precisely manufactured parts to ensure structural integrity and optimal material usage. Furthermore, the use of Material Extrusion of Metals (MEX/M) processes emphasizes the interdisciplinary integration of additive and traditional manufacturing technologies. Insights from automated infill generation can thus be directly applied to the physical production of prototypes or end-use parts, showcasing the potential of Synera in design automation and the synergy between digital design and conventional manufacturing methods.enhttps://creativecommons.org/licenses/by/4.0/Additive Manufacturing (AM)Material Extrusion of Metals (MEX/M)InfillMIMMold DevelopmentBipolar PlatesTechnology::670: ManufacturingCompiled Datahttps://doi.org/10.15480/882.1488410.15480/882.14884