Increasing efficiency and reducing weight in additive manufacturing through networked data analysis

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In the AluTrace project, a decentralized data room architecture was developed that enables seamless traceability and analysis of materials and process data. This is not only important for the design process of lightweight components, but also for the entire value chain in additive manufacturing. By implementing a process-specific topology optimization algorithm (PSTO), it was possible to demonstrate how end-to-end data networking can lead to significant improvements in component quality and performance. The results achieved, including a weight reduction of up to 23% while maintaining the same mechanical strength, demonstrate the clear industrial need for effective solutions for lightweight construction.