A cyber-physical system is one of the integral parts of the development endeavor of the smart manufacturing domain and the Industry 4.0 wave. With the advances in data analytics, smart manufacturing is gradually transforming the global manufacturing landscape. In the Resistance Spot Welding (RSW) domain, the focus has been more on the physical systems, compared to the virtual systems. The cyber-physical system facilitates the integrated analysis of the design and manufacturing processes by converging the physical and virtual stages to improve product quality in real-time. However, a cyber-physical system integrated RSW weldability certification is still an unmet need. This research is to realize a real-time data-driven cyber-physical system framework with integrated analytics and parameter optimization capabilities for connected RSW weldability certification. The framework is based on the conceptualization of the layers of the cyber-physical system and can incorporate the design and machine changes. It integrates data from the analytics lifecycle phases, starting from the data collection operation, to the predictive analytics operation, and to the visualization of the design. This integrated framework aims to support decision-makers to understand product design and its manufacturing implications. In addition to data analytics, the proposed framework implements a closed-loop machine parameter optimization considering the target product design. The framework visualizes the target product assembly with predicted response parameters along with displaying the process parameters and material design parameters simultaneously. This layer should help the designers in their decision-making process and the engineers to gain knowledge about the manufacturing processes. A case study on the basis of a real industrial case and data is presented in detail to illustrate the application of the envisioned cyber-physical systems framework.

网络物理系统是智能制造领域和工业4.0浪潮开发工作不可或缺的部分之一。随着数据分析的发展，智能制造正在逐步改变全球制造业格局。与虚拟系统相比，在电阻点焊（RSW）领域中，重点更多地放在物理系统上。该网络物理系统通过融合物理和虚拟阶段来实时改善产品质量，从而促进了设计和制造过程的集成分析。但是，集成RSW可焊性认证的网络物理系统仍然是未满足的需求。这项研究旨在实现实时数据驱动的网络物理系统框架，该框架具有集成的分析和参数优化功能，可用于连接的RSW可焊性认证。该框架基于网络物理系统各层的概念，可以合并设计和机器更改。它集成了从数据收集操作到预测性分析操作以及设计可视化的分析生命周期阶段中的数据。该集成框架旨在支持决策者了解产品设计及其制造含义。除了数据分析之外，建议的框架还考虑了目标产品设计，还实现了闭环机器参数优化。该框架通过预测的响应参数将目标产品装配可视化，并同时显示过程参数和材料设计参数。该层应帮助设计人员进行决策过程，并帮助工程师获得有关制造过程的知识。详细介绍了基于实际工业案例和数据的案例研究，以说明所设想的网络物理系统框架的应用。