Analysis of heterogeneous and synthetic data driven artificial intelligence for exploring smart electromagnetic forming (AI4EMF)

电磁成形（EMF）在成形复杂零件和实现轻量化设计概念方面具有很高的潜力，但尽管具有高柔性和许多材料在室温下扩展成形极限等优点，但EMF尚未取得重大突破。一个原因是，由于热、电和机械场变量之间的复杂相互作用，几乎不可能以简单和有效的方式设计包括必要的耐用工具线圈的制造过程。此外，由于非常高的成形速度，几乎无法得出关于工艺条件的任何可靠结论。当前计算能力和新技术的发展，如实时过程数据分析、云计算、连接和受控生产，使我们能够克服这些挑战。计划中的项目结合了人工智能（AI），数值建模和过程技术领域的发展，以实现智能EMF过程的研究。基于数据的人工智能方法应确保系统的工艺设计和控制。为此，从模拟和领域知识的合成数据与传统的工艺数据一起咨询，在技术上几乎没有探索的方法。此外，开发了一种基于综合数值模拟的电磁场耐用工具设计方法。最后，所有的结果结合起来，并根据演示过程进行测试。

Electromagnetic forming (EMF) has high potential for shaping complex parts and implementing lightweight design concepts, but despite of advantages such as high flexibility and extended forming limits at room temperature for many materials EMF has not made its major breakthrough yet. One reason is that due to complex interactions between thermal, electrical and mechanical field variables, it has hardly been possible to design a manufacturing process including the necessary durable tool coils in a simple and efficient way. Furthermore, due to the very high forming speed hardly any reliable conclusions about the process conditions can be made. Current developments in computing power and new technologies such as live process data analysis, cloud computing, connectivity and controlled production, enable overcoming these challenges. The planned project combines developments in the field of artificial intelligence (AI), numerical modelling and process technology to enable the investigation of a smart EMF process. Data-based AI methods shall ensure systematic process design and control. For this purpose, synthetic data from simulation and domain knowledge are consulted together with conventional process data in a technologically barely explored approach. Additionally, a method to design durable tools for EMF based on comprehensive numerical modelling is developed. Finally, all results are combined and tested based on a demonstrator process.