Academic Journal
Intelligent method framework for 3D surface manufacturing in cloud‐edge collaboration architecture
العنوان: | Intelligent method framework for 3D surface manufacturing in cloud‐edge collaboration architecture |
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المؤلفون: | Hongming Cai, Yanjun Dong, Min Zhu, Pan Hu, Haoyuan Hu, Lihong Jiang |
المصدر: | IET Collaborative Intelligent Manufacturing, Vol 6, Iss 3, Pp n/a-n/a (2024) |
بيانات النشر: | Wiley, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Manufactures LCC:Technological innovations. Automation |
مصطلحات موضوعية: | computer integrated manufacturing, intelligent manufacturing systems, knowledge based systems, optimal control, Manufactures, TS1-2301, Technological innovations. Automation, HD45-45.2 |
الوصف: | Abstract 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2516-8398 |
Relation: | https://doaj.org/toc/2516-8398 |
DOI: | 10.1049/cim2.12115 |
URL الوصول: | https://doaj.org/article/6e888665750848a4afb264cbb195e3df |
رقم الانضمام: | edsdoj.6e888665750848a4afb264cbb195e3df |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 25168398 |
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DOI: | 10.1049/cim2.12115 |