Wire arc additive manufacturing (WAAM) provides a rapid and cost-effective solution for fabricating low-to-medium complexity and medium-to-large size metal parts. In WAAM, process settings are well-recognized as fundamental factors that determine the performance of the fabricated parts such as geometry accuracy and microstructure. However, decision-making on process variables for WAAM still heavily relies on knowledge from domain experts. For achieving reliable and automated production, process planning systems that can capture, store, and reuse knowledge are needed. This study proposes a process planning framework by integrating a WAAM knowledge base together with our in-house developed computer-aided tools. The knowledge base is construed with a data-knowledge-service structure to incorporate various data and knowledge including metamodels and planning rules. Process configurations are generated from the knowledge base and then used as inputs to computer-aided tools. Moreover, the process planning system also supports the early-stage design of products in the context of design for additive manufacturing. The proposed framework is demonstrated in a digital workflow of fabricating industrial-grade components with overhang features.

电弧增材制造（WAAM）为制造中低复杂度和中大型金属零件提供了一种快速且经济高效的解决方案。在WAAM中，过程设置被公认为是决定所制造零件的性能的基本因素，例如几何精度和微观结构。但是，WAAM的过程变量决策仍然严重依赖领域专家的知识。为了实现可靠和自动化的生产，需要可以捕获，存储和重用知识的过程计划系统。本研究通过将WAAM知识库与我们内部开发的计算机辅助工具集成在一起，提出了一个过程计划框架。知识库由数据知识服务结构构成，以合并各种数据和知识，包括元模型和计划规则。过程配置是从知识库中生成的，然后用作计算机辅助工具的输入。此外，过程计划系统还支持用于增材制造设计的产品的早期设计。提出的框架在制造具有悬垂特征的工业级组件的数字工作流程中得到了证明。