TRR 136: Function Oriented Manufacturing Based on Characteristic Process Signatures

跨区域协作研究中心SFB/TRR 136“工艺特征”的研究侧重于对制造工艺引起的工件表面层修改进行基于机理的分析。作为一个主要假设，假设由过程无关的物理量和化学量表征的内部材料载荷是导致材料修改的原因。这种基于机制的制造过程观点在科学上是新的。预计研究工作的结果将能够以知识为基础选择必要的制造工艺和相应的参数，以达到工件表面层的目标化学和物理性能。为此，协作研究中心引入了“工艺特征”的概念，旨在展示其在广泛的制造工艺中的潜力。目的是确定在制造过程中观察到的工件材料修改和内部材料负荷之间的函数关系。第一个资助期的研究表明，通过选择的方法建立程序签名是可能的。在第二个供资期间，计划考虑到制造过程之前的工件材料状态对过程特征组件的影响。因此，研究工作将集中在由一个制造过程和过程链引起的多个后续内部材料加载，以及它们对所产生的材料修改的影响。在第三个资助期，应利用过程签名，以预测性方法预测性地制造部件的目标功能特性。预计协作研究中心将在设计制造工艺时对反问题的解决做出重大贡献。

The research within the transregional Collaborative Research Center SFB/TRR 136 “Process Signatures” focusses on a mechanism-based analysis of workpiece surface layer modifications caused by manufacturing processes. As a main hypothesis it is assumed that the internal material load, characterized by process independent physical and chemical quantities, is responsible for the resulting material modifications. This mechanism-based view on manufacturing processes is scientifically new. It is expected that the results of the research work will enable a knowledge-based selection of necessary manufacturing processes and the corresponding parameters for the targeted chemical and physical properties of the workpiece surface layer. For this purpose the Collaborative Research Center introduces the notation “Process Signatures” and aims at demonstrating its potential for a broad range of manufacturing processes.The objective is to identify functional relationships between observed workpiece material modifications and the internal material loads during the manufacturing process. The research in the first funding period has shown that setting up Process Signatures is possible by the chosen approach. For the second funding period it is planned to take into account the influence of the workpiece material state before the manufacturing process on Process Signature components. Therefore, the research work will focus on multiple subsequent internal material loadings, caused by one manufacturing process and caused in a process chain, and their effect on the resulting material modifications. In the third funding period Process Signatures shall be utilized to predictively manufacture targeted functional properties of a component in a predictive approach. It is expected that the Collaborative Research Center will significantly contribute to the solution of the inverse problem when designing manufacturing processes.