Navegando por Autor "Silva, Diogo Aparecido Lopes"
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Artigo Creating value with less impact: Lean, green and eco-efficiency in a metalworking industry towards a cleaner production(Elsevier, 2018-09-20) Leme Júnior, Roberto Donizeti; Nunes, Andréa Oliveira; Costa, Luana Bonome Message; Silva, Diogo Aparecido LopesIt is possible to create value with less environmental impact through the adoption of Lean and Green manufacturing concepts and tools. This paper proposes a Lean-Green model based on the application of the Single Minute Exchange of Die (SMED) combined with Carbon Footprint (CF) to analyze eco-efficiency of a machining center in a case study in Brazil. The novelty of this paper was the proposal of a Lean-Green model based on ecoefficiency indicators to measure performance of production systems toward a cleaner production. The developed Lean-Green model should be used by companies with low-capacity of production due to restrictions of machine availability. The case study was organized in five different scenarios by varying machine tools, workers and workpieces. First, the SMED tool was applied in the setup activities and gains of reduced idle times were up to 88%. CF results were reduced up to 81% after applying the SMED tool on each scenario. Lastly, an eco-efficiency set of indicators were used to combine results of SMED and CF, and results of eco-efficiency were 3% higher even with higher CF values after converting setup saved time into productive time. To achieve such results simple improvements were performed in the machining center, through the standardization of work and the study of time and methods for setup activities, showing that the proposed Lean-Green model could be also adopted by other companies to create value with less impactArtigo Environmental performance of additive manufacturing process – an overview(Emerald Publishing, 2018-10-08) Garcia, Fabricio Leon; Moris, Virgínia Aparecida da Silva; Nunes, Andréa Oliveira; Silva, Diogo Aparecido LopesPurpose The purpose of this paper is to overview the literature about the environmental performance of additive manufacturing (AM) and to evaluate the use of life cycle assessment (LCA) on these studies. Design/methodology/approach This study was based on the systematic literature review. Findings The investigation found that most authors were concerned about the energy consumption of the AM equipment, which is the subject studied by 87% of articles. In addition, 25% of the studies used LCA at least in some level, making a global environment assessment to evaluate the environmental impacts of AM. By analyzing research studies, it was possible to find signs that AM could be a lower environmental impact process, when compared with traditional manufacturing. However, this assumption is not valid in all cases because there are many variables that may affect environmental results. Originality/value Due to the increase on the usage of this type of technology by industries, studies on the environmental performance of this process became relevantArtigo Evaluating and ranking secondary data sources to be used in the Brazilian LCA database – “SICV Brasil”(Elsevier, 2021-04) Souza, Luri Shirosaki Marçal de; Nunes, Andréa Oliveira; Giustia, Gabriela; Saavedra, Yovana Maria Barrera; Rodrigues, Thiago Oliveira; Braga, Tiago E. Nunes; Silva, Diogo Aparecido LopesThe generation of reliable life cycle inventories is essential towards Life Cycle Assessment (LCA) development, and the use of literature inventories as data sources can serve as a driving force for emerging LCA databases. The aim of this paper was to propose a method to select and rank scientific publications to be used as possible data sources for supplying LCA databases with new datasets. A case study was designed to identify eligible datasets to compose the emergent Brazilian Life Cycle Inventory Database System – the “SICV Brasil” launched in 2016. The methodology used was based on an exploratory research composed of three steps: i) a bibliographic survey on the scientific productions of Life Cycle Inventories (LCI) in Brazil from 2000 to 2017; ii) a cross-check of LCI data and information based on the 40 selected requirements used in order to analyze the quality of LCI datasets in terms of mandatory, recommended and optional requirements; and iii) an analysis of the data quality requirements for those datasets with support of principles of Analytical Hierarchy Process (AHP) to elect possible datasets to be included in the SICV Brasil database. In total, 57 publications were analyzed and the results indicated that mandatory requirements had under 50% acceptance and only 10 requirements (less than 25%) were fully met. The best LCI dataset received 73 points (90%) with the scoring method, while 16 datasets were given less than 40 points (50%). Therefore, it is necessary to improve data quality of LCI datasets found in literature before using them to integrate LCA databases. In this regard, this study proposed a guide with short, medium, and long-term measures to mitigate this problem. The idea is to put an action plan into practice to gather more LCI datasets from literature which may be eligible for publication to SICV Brasil to improve this national database with more and relevant high-quality datasetsArtigo Numerical analyses of timber columns reinforced by particulate composite material(Open Construction and Building Technology Journal, 2016) Carvalho, André Luís Ceravolo de; Leila, Felipe Moretti; Dias, Avelino Manuel da Silva; Christoforo, André Luis; Silva, Diogo Aparecido Lopes; Silveira, Márcio Eduardo; Lahr, Francisco Antonio RoccoBeams are structural elements commonly used in structure for construction designs. Usually wood is applied as structural elements and its use is very important because it is a material of renewable source, low density and satisfactory mechanical performance. When the wood surface is not properly treated, the structure can be destroyed not only by environmental conditions but also the attack of insects, compromising the structural design. This research presents the use of a particulate composite material of epoxy resin reinforced with white Portland cement in order to be applied as repair in timber columns. The mechanical performance of this material is essentially numerical, based on the Finite Element Method. The wood used in the simulation was the Eucalyptus grandis. The elastic properties were obtained from the specialist literature in the field of timber structures. The results of numerical simulations in terms of tension and buckling loads, the inclusion of the composite in the damaged regions (for all dimensions of the defects studied) provided buckling load results significantly higher than the buckling load values for the conditions without composite, and near to the values of the buckling loads without defect, highlighting the good performance of the particulate composite material in the repair of timber columns.Artigo Why using different Life Cycle Assessment software tools can generate different results for the same product system? A cause–effect analysis of the problem(Elsevier, 2019-10) Silva, Diogo Aparecido Lopes; Nunes, Andréa Oliveira; Pierkaski, Cassiano Moro; Moris, Virgínia Aparecida da Silva; Souza, Luri Shirosaki Marçal; Rodrigues, Thiago OliveiraThere are different software tools to perform Life Cycle Assessment (LCA) and results may be different according to which software the user chooses. This paper aims to present how different LCA results can be achieved due to using different LCA software tools for the same product system. The present study focuses on analyzing four LCA software tools: SimaPro, Gabi, Umberto® and openLCA, and a standard case study was designed for the LCA comparisons for the particleboard production in Brazil. The product system was modeled in terms of gate-to-gate (G2G) and cradle-to-gate (C2G) approaches, and the ILCD midpoint was the Life Cycle Impact Assessment (LCIA) method. Characterized and normalized impacts were calculated and compared in terms of maximum/minimum relative deviation for five different impact categories. An analysis of the current software tools indicates that photochemical ozone formation and ecotoxicity freshwater categories were highlighted because of their high relative impacts. However, the G2G impacts for all the software tools were less affected than the C2G impacts, which indicate there are differences in the causes of the impacts for the background datasets. Furthermore, an analysis of the Characterization Factors (CFs) was designed and the results were revealed: i) missing CFs in some software, ii) additional CFs in some software, and iii) different CFs for the same flows. Based on that, a cause–effect analysis was performed, and two root causes were identified: import process for background datasets, and lack of rules for implementing LCIA methods in the software tools. To deal with such root causes, a roadmap was proposed and we recommended to include LCIA methods into a node at the Global LCA Data network, and consequently all software tools should update their databases from there. This would help to at least reducing the discrepancies of LCA results