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Carlos Ye Zhu, nascido em Coimbra (Portugal), concluiu o Mestrado Integrado em Engenharia Mecânica na Universidade de Coimbra Faculdade de Ciências e Tecnologia em 2019, com uma média de 16. Possui interesse no desenvolvimento de sistemas mecânicos e robóticos, na produção aditiva de componentes e ambientes de realidade virtual e aumentada.
Identification

Personal identification

Full name
Carlos Ye Zhu
Gender
Male

Citation names

  • Zhu, Carlos

Author identifiers

Ciência ID
0115-03C3-B1A6
ORCID iD
0000-0001-6656-785X

Email addresses

  • carlos.zhu@hotmail.com (Professional)

Telephones

Mobile phone
  • 914644790 (Personal)

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2014/09/09 - 2019/09/21
Concluded
Engenharia Mecânica (Mestrado)
Major in Área de especialização: Sistemas de Produção
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Contributions for the Development of a Robotic Cell for the Additive Manufacturing of Metallic Parts" (THESIS/DISSERTATION)
16 valores
Outputs

Publications

Journal article
  1. "The role of robotics in additive manufacturing: review of the AM processes and introduction of an intelligent system". Industrial Robot: the international journal of robotics research and application ahead-of-p ahead-of-p (2021): http://dx.doi.org/10.1108/ir-06-2021-0110.
    10.1108/ir-06-2021-0110
  2. "From CAD design to robot models and simulation tools. Test-case example using the Kassow 810 collaborative robot". Industrial Robot: the international journal of robotics research and application 48 6 (2021): 856-876. http://dx.doi.org/10.1108/ir-02-2021-0044.
    10.1108/ir-02-2021-0044
  3. Zhu, Carlos Ye; Pires, J. Norberto; Azar, Amin. "A novel multi-brand robotic software interface for industrial additive manufacturing cells". Industrial Robot: the international journal of robotics research and application 47 4 (2020): 581-592. http://dx.doi.org/10.1108/ir-11-2019-0237.
    10.1108/ir-11-2019-0237