Prediction of correlation between ash fusion temperature of ASTM and Thermo-Mechanical Analysis

Kim, Jin-Ho; Kim, Gyu-Bo; Jeon, Chung-Hwan

doi:10.1016/j.applthermaleng.2017.07.114

Cited by 29 publications

(7 citation statements)

References 16 publications

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“…The ash fusion temperature (AFT) was measured using the thermomechanical analysis (TMA) device designed and produced by the Pusan Clean Coal Center (PC3) at Pusan National University [15]. A schematic diagram of the TMA device is given in Figure 1.…”

Section: Biomass Sample Analysismentioning

confidence: 99%

Fundamental Characteristics and Kinetic Analysis of Lignocellulosic Woody and Herbaceous Biomass Fuels

2019

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Biomass fuels are increasingly being viewed as viable alternatives for energy production in biomass-fired power plants and coal-fired power plants, which aim to employ co-firing technologies to achieve CO2 emission reductions. In this study, wood pellets (woody biomass) and kenaf (herbaceous biomass) were fully characterized in terms of their elemental compositions, pyrolysis, and char oxidation kinetics. Kinetic parameters were obtained through the application of the multi-Gaussian distributed activation energy model (DAEM) and Kissinger equation. Analyses of the ash indicated that, unlike coal, the biomass fuel is mostly composed of metal oxide ash. The calorific values of wood pellets were slightly higher than those of kenaf. Detailed kinetic analyses are presented so that steps can be taken to combust the biomass fuels in power plants. The kinetic data suggested that the mechanism for the char oxidation of wood pellets may be more complex than that for kenaf. In summary, these torrefied and pyrolyzed materials were found to represent potentially useful biomass fuels.

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Section: Biomass Sample Analysismentioning

confidence: 99%

Fundamental Characteristics and Kinetic Analysis of Lignocellulosic Woody and Herbaceous Biomass Fuels

2019

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“…As shown in Table 2, the maximum ΔT was 56 °C, which was below the difference between the FT values tested by different AFT detectors under a reducing atmosphere (80 °C, ISO 540-2008; 23 85 °C, ASTM D1857-04 26 ) and also less than the reproducible critical difference for the FT measurement according to the Chinese standard (80 °C, GB/T219-2008). From thermodynamic calculations, the mineral crystals of high calcium and high iron ash [e.g., TC ash (CaO, 28.62%; Fe 2 O 3 , 18.95%)] are mainly in the forms of fayalite, hercynite, dicalcium silicate, feldspar, and melilite at 1100 °C.…”

Section: Reliability Check Of the Correlation Between Ft And Mf 331 C...mentioning

confidence: 78%

Correlation between the Flow Temperature and Mineral Factor for Coal Ashes Based on FactSage Calculation

2023

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To find a simple method to predict the ash flow temperature (FT) based on FactSage calculation, 69 coal ash samples were selected to explore the correlation between the FT and its mineral factor (MF) at a given temperature. An approximate linear relationship was found between ash FT and its MF: FT = 0.64MF + 1332, with a related coefficient value of 0.94 and a standard deviation of 25.77 °C. Ten ash samples were used to investigate its reliability. The calculated FTs were consistent with experimental FTs in the error range of measurement, and the correlation might be more reliable for low iron and low calcium coal.

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“…It is a fact that ash can absorb moisture from the environment because of its pore structure, which leads to a weak mass loss in the DTG curve. The second distinct peak with a temperature of 1250 °C was mainly due to the breakdown and release of complex high-temperature mineral and inorganic species, such as K 2 O, SiO 2 , Fe 2 O 3 , and CaO . There were significant differences of TG–DTG curves between masson pine ash and bamboo ash (Figure H).…”

Section: Resultsmentioning

confidence: 96%

“…The second distinct peak with a temperature of 1250 °C was mainly due to the breakdown and release of complex high-temperature mineral and inorganic species, such as K 2 O, SiO 2 , Fe 2 O 3 , and CaO. 18 There were significant differences of TG− DTG curves between masson pine ash and bamboo ash (Figure 1H). In the TG curves of masson pine ash with different heating rates, the mass loss of ash was relatively stable at the low temperature range and then dropped sharply, which was significantly different from that of bamboo ash, showed in Figure 1C.…”

Section: Resultsmentioning

confidence: 96%

Thermal Characteristics of Ash from Bamboo and Masson Pine Blends: Influence of Mixing Ratio and Heating Rate

Jin

Feng

et al. 2021

ACS Omega

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Thermal characteristics and kinetic parameters of ash from bamboo and masson pine blends with different mixing ratios were investigated using a thermogravimetric analyzer at different heating rates. The results showed that bamboo ash had lower fusion temperatures than the ash of masson pine. Mixing ratios and heating rates had a significant impact on the thermal characteristics and activation energy of ash samples. There was a synergistic interaction of chemical compositions in the bamboo and masson pine ashes. The mass loss of ash samples increased with the increase in the bamboo content of the blends. All ash samples had the maximum activation energy at the heating rate of 20 °C/min. The activation energy had a good linear correlation with mixing ratios at high conversion and heating rates. The optimum blend was suggested as 20% bamboo/80% masson pine due to its high activation energy. The results of this study are helpful to design a combustion system of bamboo and masson pine blends.

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Prediction of correlation between ash fusion temperature of ASTM and Thermo-Mechanical Analysis

Cited by 29 publications

References 16 publications

Fundamental Characteristics and Kinetic Analysis of Lignocellulosic Woody and Herbaceous Biomass Fuels

Fundamental Characteristics and Kinetic Analysis of Lignocellulosic Woody and Herbaceous Biomass Fuels

Correlation between the Flow Temperature and Mineral Factor for Coal Ashes Based on FactSage Calculation

Thermal Characteristics of Ash from Bamboo and Masson Pine Blends: Influence of Mixing Ratio and Heating Rate

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