Taiane Regina Hoepers;
Chris Zevenbergen;
Cristovão Vicente Scapulatempo Fernandes;
Michel Marques Monteiro;
Daniel Costa dos Santos;
GERALD PEREZ;
Juliana Leithold
SCIENCE OF THE TOTAL ENVIRONMENT,
v. 912,
p. 1-14,
2024
Palavra-chave:
sustainable drainage;
decision making;
water conservation
Áreas do conhecimento:
Engenharias; CONSERVAÇÃO DA ÁGUA EM ÁREAS URBANAS
resumo ...
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HOEPERS, TAIANE REGINA;
LEITHOLD, JULIANA;
MONTEIRO, MICHEL MARQUES;
CORZO PEREZ, GERALD A.;
Cristovão Vicente Scapulatempo Fernandes;
ZEVENBERGEN, CHRIS;
Daniel Costa dos Santos
Palavra-chave:
Integrated Urban Management
Áreas do conhecimento:
Engenharias; Engenharia Sanitária; Recursos Hídricos; Planejamento Integrado dos Recursos Hídricos
resumo ...
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DA ROCHA, EDSON MAIKON;
ÁVILA, SUELEN;
DE LIMA, JAIR JOSÉ;
SILVA, RICARDO SCHEFFER DE ANDRADE;
DE ANDRADE, LUIZ EDUARDO PIÁ;
BACILA, DANNIELE MIRANDA;
Alvaro Luiz Mathias;
Regina Maria Matos Jorge
Palavra-chave:
mushroom;
organic waste
Áreas do conhecimento:
Engenharias; Engenharia Química; Tecnologia Química; Alimentos
resumo ...
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Bráulio Farnese de Paula Lana;
Mônica Beatriz Kolicheski;
Arno Paulo Schmitz;
Alvaro Luiz Mathias;
GONTARSKI, CARLOS ALBERTO UBIRAJARA
Palavra-chave:
Cleaner Production;
solid waste;
solid waste minimization;
Industry 4.0;
expert system
Áreas do conhecimento:
Outros;
Engenharias; Engenharia Química; Bioprocessos
resumo ...
(pt)
Industry 4.0 has expanded the alternatives to design more sustainable processes. Among the technologies of this industrial phase, IoT (Internet of Things) technology allows the linkage of devices that generate data at high volumes (big data), supporting the creation of Artificial Intelligence (AI) models to perform optimal operating standards to minimize waste in the production. By means of vision sensor and AI deployment, this study aimed to reduce the polybutylene plastic waste in an extrusion line of colored tubes, in which most of the waste is generated during the color transition. For that, a vision sensor that transfers the tube color in real-time was installed, which made it possible to set acceptance ranges for the standard colors of the tubes based on the elicitation of the operators' knowledge. These ranges allowed the setup of an expert system that warns the operator, by a light signal, the right time to start the production. The suggested technology demonstrated to be 11.47% more efficient in waste reduction in color transitions. It also allowed the identification of the requirements for the deployment of this technology in plastic extrusion, so it can promote overall waste reduction, which requires improvements in operation, standardization, and employee training.
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Braulio F. P. Lana;
Monica B. Kolicheski;
Arno Paulo Schmitz;
Alvaro luiz Mathias;
Carlos A. U. Gontarski
Revista Latino-Americana de Inovação e Engenharia de Produção,
v. 12,
n. 20,
p. 74-94,
2024
DOI
Home page
Palavra-chave:
Algoritmos;
Eficiência produtiva;
Inteligência Artificial
Áreas do conhecimento:
Engenharias; Engenharia do Produto; Processos de Trabalho
resumo ...
(pt)
Industry 4.0 has expanded the alternatives to design more sustainable processes. Among the technologies of this industrial phase, IoT (Internet of Things) technology allows the linkage of devices that generate data at high volumes (big data), supporting the creation of Artificial Intelligence (AI) models to perform optimal operating standards to minimize waste in the production. By means of vision sensor and AI deployment, this study aimed to reduce the polybutylene plastic waste in an extrusion line of colored tubes, in which most of the waste is generated during the color transition. For that, a vision sensor that transfers the tube color in real-time was installed, which made it possible to set acceptance ranges for the standard colors of the tubes based on the elicitation of the operators' knowledge. These ranges allowed the setup of an expert system that warns the operator, by a light signal, the right time to start the production. The suggested technology demonstrated to be 11.47% more efficient in waste reduction in color transitions. It also allowed the identification of the requirements for the deployment of this technology in plastic extrusion, so it can promote overall waste reduction, which requires improvements in operation, standardization, and employee training.
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Emilio Carlos Zilli Ruiz;
Afonso Figueiredo Filho;
RETSLAFF, FABIANE APARECIDA DE SOUZA;
GARRETT, ALEXANDRE TECHY DE ALMEIDA;
Rodrigo Geroni Mendes Nascimento;
Mailson Roik;
KARINA HENKEL PROCEKE DE DEUS;
Carla Fernanda Mussio
Palavra-chave:
Biomass modeling;
Araucária crown;;
renewable energy;
Araucaria Forest
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Recursos Florestais e Engenharia Florestal; Manejo Florestal; Dendrometria e Inventário Florestal;
CIENCIAS_AGRARIAS; Recursos Florestais e Engenharia Florestal; Conservação da Natureza; Recuperação de Areas Degradadas;
Engenharias; Engenharia de Energia; Fontes Renováveis de Energia; Energia de Biomassa
resumo ...
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José João de Espíndola;
DE ALMEIDA PRADO, BRUNO FERRARI;
José João de Espíndola
Palavra-chave:
Optimization;
Rotordynamic;
Vibration Control in a Frequency Range;
Viscoelastic Support
Áreas do conhecimento:
Engenharias; Mecânica dos Sólidos; Vibrações
resumo ...
Viscoelastic supports (VES) are bearing-foundation systems containing viscoelastic materials with high capacity of vibration energy dissipation. The application of VES on rotating machinery allows for a safe operation around critical speeds while suppressing peaks of vibration amplification. This paper presents an experimental validation of a multi-degree-of-freedom (multi-DOF) VES independently designed with regards to viscoelastic stiffness in translational and rotational DOF. An optimal design of the multi-DOF VES is obtained using a methodology developed in previous works and a prototype is constructed and integrated into the rotating system to be experimentally validated. Run-down measurements were carried out and compared with the frequency unbalance response numerical predictions. The run-down measurements exhibit excellent agreement with numerical predictions, particularly in terms of frequency accuracy. These results highlight the effectiveness of the optimally designed multi-DOF VES in controlling the unbalance frequency response over the entire spin speed range of a dual-disc rotating system. This leads to a significant reduction in response amplitude at critical speed when compared to the rotating system supported on rigid bearings. The experimental validation of the multi-DOF VES demonstrates its capability to enhance the performance and safety of rotating machinery operating around critical speeds. The optimized design effectively mitigates response amplitudes at critical speeds, validating the methodology presented in previous works. The findings underscore the practical applicability of the proposed approach, positioning the multi-DOF VES as a valuable tool for controlling the unbalance frequency response in rotating systems.
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SAVIAN, CAROLINA MENE;
Adenise Lorenci Woiciechowski;
SCAPINI, THAMARYS;
MARTINEZ-BURGOS, WALTER JOSÉ;
ZEVALLOS TORRES, LUIS ALBERTO;
ZANDONA FILHO, ARION;
RAMOS, LUIZ PEREIRA;
Soccol, Carlos Ricardo
Palavra-chave:
Agroindustrial Residues;
bioeconomy;
bioetanol;
Biorefinery;
Reaproveitamento de Resíduos;
biomass pretreatment
resumo ...
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SAVIAN, CAROLINA MENE;
SCAPINI, THAMARYS;
MARTINEZ-BURGOS, WALTER JOSÉ;
ZEVALLOS TORRES, LUIS ALBERTO;
CABRAL, PALOMA SOUZA;
CABRAL, PALOMA SOUZA;
CABRAL, PALOMA SOUZA;
CABRAL, PALOMA SOUZA
Palavra-chave:
Processos Biotecnologicos
Áreas do conhecimento:
Engenharias; Engenharia Elétrica; Telecomunicações
resumo ...
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Paula Sacchelli Pacheco;
Sonia Faria Zawadski;
Daniel Eiras
Palavra-chave:
Mixed matrix membranes;
gas separation;
ZIF-67;
PEBAX® MH-1657
resumo ...
This study synthesized mixed matrix membranes (MMMs) using PEBAX® MH-1657 and ZIF-67 with...
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