A twin data and knowledge-driven intelligent process planning framework of aviation parts
Author:
Affiliation:
1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, People’s Republic of China
2. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, People’s Republic of China
Funder
National Natural Science Foundation of China
China National Postdoctoral Program for Innovative Talents
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1951869
Reference42 articles.
1. Continuous three-dimensional path planning (CTPP) for complex thin parts with wire arc additive manufacturing
2. The modelling and operations for the digital twin in the context of manufacturing
3. An Intelligent Process Planning Method Based on Feature-based History Machining Data for Aircraft Structural Parts
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