Filtros : "Bonnard, Renan" Limpar

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  • Source: International Journal of Advanced Manufacturing Technology. Unidade: ICMC

    Subjects: MODELOS MATEMÁTICOS, PROCESSOS ESTOCÁSTICOS, ÓLEO DE SOJA, INDÚSTRIA 4.0

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    • ABNT

      FERREIRA, Magna Paulina de Souza et al. Stochastic model for setpoint of a rolling mill: an application in the soybean oil production. International Journal of Advanced Manufacturing Technology, v. 121, p. 2773-2786, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00170-022-09439-y. Acesso em: 27 set. 2024.
    • APA

      Ferreira, M. P. de S., Arantes, M. da S., Arantes, J. da S., Bonnard, R., & Toledo, C. F. M. (2022). Stochastic model for setpoint of a rolling mill: an application in the soybean oil production. International Journal of Advanced Manufacturing Technology, 121, 2773-2786. doi:10.1007/s00170-022-09439-y
    • NLM

      Ferreira MP de S, Arantes M da S, Arantes J da S, Bonnard R, Toledo CFM. Stochastic model for setpoint of a rolling mill: an application in the soybean oil production [Internet]. International Journal of Advanced Manufacturing Technology. 2022 ; 121 2773-2786.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s00170-022-09439-y
    • Vancouver

      Ferreira MP de S, Arantes M da S, Arantes J da S, Bonnard R, Toledo CFM. Stochastic model for setpoint of a rolling mill: an application in the soybean oil production [Internet]. International Journal of Advanced Manufacturing Technology. 2022 ; 121 2773-2786.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s00170-022-09439-y
  • Source: International Journal of Advanced Manufacturing Technology. Unidade: ICMC

    Subjects: INDÚSTRIA 4.0, BIG DATA, COMPUTAÇÃO EM NUVEM, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      BONNARD, Renan et al. Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context. International Journal of Advanced Manufacturing Technology, v. No 2021, n. 5-6, p. 1959-1973, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00170-021-07834-5. Acesso em: 27 set. 2024.
    • APA

      Bonnard, R., Arantes, M. da S., Lorbieski, R., Vieira, K. M. M., & Nunes, M. C. (2021). Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context. International Journal of Advanced Manufacturing Technology, No 2021( 5-6), 1959-1973. doi:10.1007/s00170-021-07834-5
    • NLM

      Bonnard R, Arantes M da S, Lorbieski R, Vieira KMM, Nunes MC. Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context [Internet]. International Journal of Advanced Manufacturing Technology. 2021 ; No 2021( 5-6): 1959-1973.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s00170-021-07834-5
    • Vancouver

      Bonnard R, Arantes M da S, Lorbieski R, Vieira KMM, Nunes MC. Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context [Internet]. International Journal of Advanced Manufacturing Technology. 2021 ; No 2021( 5-6): 1959-1973.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s00170-021-07834-5
  • Source: Progress in Additive Manufacturing. Unidade: EP

    Subjects: IMAGEM 3D, PROJETOS DE PRODUTOS, INOVAÇÕES TECNOLÓGICAS

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    • ABNT

      DURÃO, Luiz Fernando Cardoso dos Santos et al. Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments. Progress in Additive Manufacturing, v. 4, n. 3, p. 291-313, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40964-019-00075-9. Acesso em: 27 set. 2024.
    • APA

      Durão, L. F. C. dos S., Barkoczy, R. A., Zancul, E. de S., Ho, L. L., & Bonnard, R. (2019). Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments. Progress in Additive Manufacturing, 4( 3), 291-313. doi:10.1007/s40964-019-00075-9
    • NLM

      Durão LFC dos S, Barkoczy RA, Zancul E de S, Ho LL, Bonnard R. Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments [Internet]. Progress in Additive Manufacturing. 2019 ;4( 3): 291-313.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s40964-019-00075-9
    • Vancouver

      Durão LFC dos S, Barkoczy RA, Zancul E de S, Ho LL, Bonnard R. Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments [Internet]. Progress in Additive Manufacturing. 2019 ;4( 3): 291-313.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s40964-019-00075-9
  • Source: Journal of Manufacturing Systems. Unidade: EP

    Subjects: INTERFACE HOMEM-COMPUTADOR, GEOMETRIA E MODELAGEM COMPUTACIONAL, CAD/CAM

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    • ABNT

      BONNARD, Renan et al. Hierarchical object-oriented model (HOOM) for additive manufacturing digital thread. Journal of Manufacturing Systems, v. 50, n. Ja, p. 36-52, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jmsy.2018.11.003. Acesso em: 27 set. 2024.
    • APA

      Bonnard, R., Hascoët, J. -Y., Mognol, P., Zancul, E. de S., & Alvares, A. J. (2019). Hierarchical object-oriented model (HOOM) for additive manufacturing digital thread. Journal of Manufacturing Systems, 50( Ja), 36-52. doi:10.1016/j.jmsy.2018.11.003
    • NLM

      Bonnard R, Hascoët J-Y, Mognol P, Zancul E de S, Alvares AJ. Hierarchical object-oriented model (HOOM) for additive manufacturing digital thread [Internet]. Journal of Manufacturing Systems. 2019 ; 50( Ja): 36-52.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.jmsy.2018.11.003
    • Vancouver

      Bonnard R, Hascoët J-Y, Mognol P, Zancul E de S, Alvares AJ. Hierarchical object-oriented model (HOOM) for additive manufacturing digital thread [Internet]. Journal of Manufacturing Systems. 2019 ; 50( Ja): 36-52.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.jmsy.2018.11.003

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