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Trabalho de evento
A methodology to predict the effective thermal conductivity of a granular assembly using deep learning (2022)
Quintana Ruiz, Osvaldo Dario ; Campello, Eduardo de Morais Barreto
Source: Proceedings. Conference titles: Ibero-Latin-American Congress on Computational Methods in Engineering - CILAMCE. Unidade: EP
Subjects: REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL, MATERIAIS GRANULARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUINTANA RUIZ, Osvaldo Dario e CAMPELLO, Eduardo de Morais Barreto. A methodology to predict the effective thermal conductivity of a granular assembly using deep learning. 2022, Anais.. Rio de Janeiro: ABMEC, 2022. Disponível em: https://repositorio.usp.br/directbitstream/525e5a7e-f7ce-4e15-a41d-c3f6c2b29fd7/A_methodology_to_predict_the_effective_thermal_conductivity_of_a_granular_assembly_using_deep_learning.pdf. Acesso em: 01 out. 2024.
APA
Quintana Ruiz, O. D., & Campello, E. de M. B. (2022). A methodology to predict the effective thermal conductivity of a granular assembly using deep learning. In Proceedings. Rio de Janeiro: ABMEC. Recuperado de https://repositorio.usp.br/directbitstream/525e5a7e-f7ce-4e15-a41d-c3f6c2b29fd7/A_methodology_to_predict_the_effective_thermal_conductivity_of_a_granular_assembly_using_deep_learning.pdf
NLM
Quintana Ruiz OD, Campello E de MB. A methodology to predict the effective thermal conductivity of a granular assembly using deep learning [Internet]. Proceedings. 2022 ;[citado 2024 out. 01 ] Available from: https://repositorio.usp.br/directbitstream/525e5a7e-f7ce-4e15-a41d-c3f6c2b29fd7/A_methodology_to_predict_the_effective_thermal_conductivity_of_a_granular_assembly_using_deep_learning.pdf
Vancouver
Quintana Ruiz OD, Campello E de MB. A methodology to predict the effective thermal conductivity of a granular assembly using deep learning [Internet]. Proceedings. 2022 ;[citado 2024 out. 01 ] Available from: https://repositorio.usp.br/directbitstream/525e5a7e-f7ce-4e15-a41d-c3f6c2b29fd7/A_methodology_to_predict_the_effective_thermal_conductivity_of_a_granular_assembly_using_deep_learning.pdf
Trabalho de evento
A thermo-mechanical DEM framework for the simulation of selective laser sintering (2022)
Quintana Ruiz, Osvaldo Dario ; Campello, Eduardo de Morais Barreto
Source: Proceedings. Conference titles: Ibero-Latin-American Congress on Computational Methods in Engineering - CILAMCE. Unidade: EP
Subjects: TERCEIRA DIMENSÃO, SIMULAÇÃO DE SISTEMAS, MECÂNICA DAS ESTRUTURAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUINTANA RUIZ, Osvaldo Dario e CAMPELLO, Eduardo de Morais Barreto. A thermo-mechanical DEM framework for the simulation of selective laser sintering. 2022, Anais.. Rio de Janeiro: ABMEC, 2022. Disponível em: https://repositorio.usp.br/directbitstream/800f8983-eb63-43ba-83b7-d3eecfb589ca/A_thermo_mechanical_DEM_framework_for_the_simulation_of_selective_laser_sintering.pdf. Acesso em: 01 out. 2024.
APA
Quintana Ruiz, O. D., & Campello, E. de M. B. (2022). A thermo-mechanical DEM framework for the simulation of selective laser sintering. In Proceedings. Rio de Janeiro: ABMEC. Recuperado de https://repositorio.usp.br/directbitstream/800f8983-eb63-43ba-83b7-d3eecfb589ca/A_thermo_mechanical_DEM_framework_for_the_simulation_of_selective_laser_sintering.pdf
NLM
Quintana Ruiz OD, Campello E de MB. A thermo-mechanical DEM framework for the simulation of selective laser sintering [Internet]. Proceedings. 2022 ;[citado 2024 out. 01 ] Available from: https://repositorio.usp.br/directbitstream/800f8983-eb63-43ba-83b7-d3eecfb589ca/A_thermo_mechanical_DEM_framework_for_the_simulation_of_selective_laser_sintering.pdf
Vancouver
Quintana Ruiz OD, Campello E de MB. A thermo-mechanical DEM framework for the simulation of selective laser sintering [Internet]. Proceedings. 2022 ;[citado 2024 out. 01 ] Available from: https://repositorio.usp.br/directbitstream/800f8983-eb63-43ba-83b7-d3eecfb589ca/A_thermo_mechanical_DEM_framework_for_the_simulation_of_selective_laser_sintering.pdf
Tese (Doutorado)
A coupled thermo-mechanical model for the simulation of discrete particle systems in advanced manufacturing (2021)
Quintana Ruiz, Osvaldo Dario; Campello, Eduardo de Morais Barreto (Orientador)
Unidade: EP
Subjects: INDÚSTRIA 4.0, SINTERIZAÇÃO, AGLUTINAÇÃO, CONCRETO, CIMENTO, MATERIAIS GRANULARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUINTANA RUIZ, Osvaldo Dario. A coupled thermo-mechanical model for the simulation of discrete particle systems in advanced manufacturing. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3144/tde-21122021-103525/. Acesso em: 01 out. 2024.
APA
Quintana Ruiz, O. D. (2021). A coupled thermo-mechanical model for the simulation of discrete particle systems in advanced manufacturing (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3144/tde-21122021-103525/
NLM
Quintana Ruiz OD. A coupled thermo-mechanical model for the simulation of discrete particle systems in advanced manufacturing [Internet]. 2021 ;[citado 2024 out. 01 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3144/tde-21122021-103525/
Vancouver
Quintana Ruiz OD. A coupled thermo-mechanical model for the simulation of discrete particle systems in advanced manufacturing [Internet]. 2021 ;[citado 2024 out. 01 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3144/tde-21122021-103525/

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