Information exchange and knowledge discovery for additive manufacturing digital thread: a comprehensive literature review

Author:

Xiao Jinhua1,Anwer Nabil2,Huang Hailong3,Bonnard Renan4ORCID,Eynard Benoît5,Huang Chao6,Pei Eujin7

Affiliation:

1. School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China

2. LURPA, École Normale Supérieure Paris Saclay, Gif-sur-Yvette, France

3. Department of Aeronautical and Aviation Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong

4. SENAI, Institute of Embedded Systems, Florianópolis, Brazil

5. Department of Mechanical Systems Engineering, Sorbonne Universités, Université de Technologie de Compiègne, Roberval Laboratory - UMR CNRS, Compiègne Cedex, France

6. College of Engineering, Design & Physical Sciences, Brunel University London, Uxbridge, UK

7. Department of Industrial and Systems Engineering, The Hong Kong Polytechnical University, Hong Kong, Ireland

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Reference193 articles.

1. Semantic interoperability of knowledge in feature-based CAD models

2. Aggour, K. S., V. S. Kumar, P. Cuddihy, J. Weisenberg Williams, V. Gupta, L. DIal, T. Hanlon, J. Gambone, and J. Vinciquerra. 2019. “Federated Multimodal Big Data Storage Analytics Platform for Additive Manufacturing.” Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, 1729–1738. IEEE. https://doi.org/10.1109/BigData47090.2019.9006495.

3. Model-based definition design in the product lifecycle management scenario

4. Designing a Cellular Manufacturing System featuring remanufacturing, recycling, and disposal options: A mathematical modeling approach

5. STEP-NC Architectures for Industrial Robotic Machining: Review, Implementation and Validation

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