TRR 136: Function Oriented Manufacturing Based on Characteristic Process Signatures

跨区域合作研究中心SFB/TRR 136“过程特征”的研究重点是对制造过程引起的工件表面层变化进行基于机制的分析。作为一个主要的假设，它假设内部材料负荷，其特征是独立于过程的物理和化学量，是导致材料变化的原因。这种基于机制的制造过程观点在科学上是新颖的。预计研究工作的结果将能够基于知识选择必要的制造工艺和工件表面层的目标化学和物理特性的相应参数。为此，合作研究中心引入了“过程签名”的符号，旨在展示其在广泛制造过程中的潜力。目标是确定在制造过程中观察到的工件材料修改和内部材料载荷之间的功能关系。第一个资助期的研究表明，所选择的方法可以建立过程签名。对于第二个资助期，计划考虑制造过程前工件材料状态对过程签名组件的影响。因此，研究工作将集中在由一个制造过程引起的、在一个过程链中引起的多个后续内部材料负荷，以及它们对由此产生的材料修改的影响。在第三个资助期，应利用工艺签名以预测方法预测制造组件的目标功能特性。期望该协同研究中心能为解决制造工艺设计中的逆问题做出重大贡献。

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.