Digital Twin and web services for robotic deburring in intelligent manufacturing
Author:
Funder
European Social Fund
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-022-01928-x.pdf
Reference52 articles.
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3. Armendia, M., Cugnon, F., Berglind, L., Ozturk, E., Gil, G., & Selmi, J. (2019). Evaluation of machine tool digital twin for machining operations in industrial environment. Procedia CIRP. https://doi.org/10.1016/j.procir.2019.04.040
4. Baladrón, C., Jiménez, M. I., Aguiar, J. M., Carro, B., & Sánchez-Esguevillas, A. J. (2013). Improving teaching in engineering education: Adjunct enterprise professors programme. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-011-0546-0
5. Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019). A survey on digital twin: definitions, characteristics, applications, and design implications. IEEE Access, 7, 167653–167671. https://doi.org/10.1109/ACCESS.2019.2953499.
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