Intelligent method framework for 3D surface manufacturing in cloud‐edge collaboration architecture

• Published in: IET collaborative intelligent manufacturing Vol. 6; no. 3
• Main Authors: Cai, Hongming, Dong, Yanjun, Zhu, Min, Hu, Pan, Hu, Haoyuan, Jiang, Lihong
• Format: Journal Article
• Language: English
• Published: Wiley 01-09-2024
• Subjects: computer integrated manufacturing; intelligent manufacturing systems; knowledge based systems; optimal control
• ISSN: 2516-8398; 2516-8398
• DOI: 10.1049/cim2.12115

Large and complex workpieces are core components in fields, such as aerospace, shipbuilding, and other industrial applications. However, the main challenge of curved plate processing comes from the difficulty in determining the nonlinear rebound features with structural design parameters. An intelligent method framework is proposed for 3D surface manufacturing in cloud‐edge collaboration environment. With the construction of an intelligent generation method for machining parameters, a unified data model is effectively integrated with various discrete data, and an intelligent processing mechanism based on 3D point clouds is constructed. In particular, a prediction method for curved panel rebound is constructed to reduce the manual dependency of the manufacturing process. Finally, a related case study is conducted to verify the framework, and the result shows accuracy, interpretability and reusability advantages over other similar methods.
An intelligent method framework is proposed for 3D surface manufacturing in cloud‐edge collaboration environment. With the construction of an intelligent generation method for machining parameters, a unified data model is effectively integrated with various discrete data, and an intelligent processing mechanism based on 3D point clouds is constructed. In particular, a prediction method for curved panel rebound is constructed to reduce the manual dependency of the manufacturing process.