2008
DOI: 10.4322/tmm.00404010
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Caracterização Dos Parâmetros De Porosidade De Concentrados De Minérios De Ferro Pelo Método De Adsorção De Nitrogênio

Abstract: ferro (goethita, agregado terroso ou limonita), de hematita da martita e até mesmo de magnetita/kenomagnetita causam grande impacto no desempenho de diversas etapas do processo industrial de pelotizacão, (1) nas propriedades de resistência à compressão (2) e na redutibilidade das pelotas. (3) INTRODUÇÃOAtualmente, as cargas de minérios de ferro empregadas nos processos são constituídas por misturas de finos de minérios anidros e hidratados, em proporções variáveis, resultando em alterações dos valores de poro… Show more

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Cited by 4 publications
(4 citation statements)
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“…type, indicative of nonrigid aggregates of lamellar particles, mainly mesopores/macropores in the form of slits or parallel plates [64,65]. Table 2 presents the specific surface area and porosimetry, and it is possible to observe that all of the samples are similar regarding the pore volume and diameter values.…”
Section: Iot Sample Characterization and Analysismentioning
confidence: 93%
See 1 more Smart Citation
“…type, indicative of nonrigid aggregates of lamellar particles, mainly mesopores/macropores in the form of slits or parallel plates [64,65]. Table 2 presents the specific surface area and porosimetry, and it is possible to observe that all of the samples are similar regarding the pore volume and diameter values.…”
Section: Iot Sample Characterization and Analysismentioning
confidence: 93%
“…According to IUPAC (International Union of Pure and Applied Chemistry), these curves are characteristics of nonporous or macroporous materials [63]. It is possible to see the presence of narrow and inclined hysteresis, classified as H3 type, indicative of nonrigid aggregates of lamellar particles, mainly mesopores/macropores in the form of slits or parallel plates [64,65]. Table 2 presents the specific surface area and porosimetry, and it is possible to observe that all of the samples are similar regarding the pore volume and diameter values.…”
Section: Iot Sample Characterization and Analysismentioning
confidence: 99%
“…According to IUPAC (International Union of Pure and Applied Chemistry), these curves are characteristics of non-porous or macroporous materials [64]. It is possible to see the presence of narrow and inclined hysteresis, classified as H3 type, indicative of non-rigid aggregates of lamellar particles, mainly mesopores/macropores in the form of slits or parallel plates [65,66]. Table 2 presents the specific surface area and porosimetry and it is possible to observe all the samples are similar regarding the pore volume and diameter values.…”
Section: Iot Samples Characterization and Analysismentioning
confidence: 99%
“…Until now, this model has been based on a systematic geological mapping of the deposits, information derived from geological descriptions of drill cores and results of chemical, physical and mineralogical analyses of samples generated by the exploration work, apart from the results of the technological testing after Costa, Rocha, Bonfioli and Vieira (1) . However, due to the various geological settings, even samples that are mineralogically similar can present variation of porosity parameters, after Pena (2) . Variations of characteristics relative to total volume, dimension, shape and degree of pore connectivity can generate significant behavior alterations in the phases of the concentration processes.…”
Section: Introductionmentioning
confidence: 99%