In this study, the desulfurization process developed using ultrasonic
waves for Muğla Yatağan Bağyaka lignite had the optimum conditions for
parameters affecting the ash and sulfur removal potentials determined with the
Surface Response Method and a model created. The process parameters to obtain
optimum desulfurization and ash removal were chosen as the ultrasonic treatment
time, solid content, concentration of chemical reactive (H2O2)
and reactive volume, and the optimum values were determined. Using this data
with the aid of the Design Export 7.0 program, the regression model was found
as a second degree polynomial equation. The coefficients of
determination (R2) for desulfurization and ash removal regressions
were 0.96 and 0.97, respectively, in the determined model. The model prediction
values and experimental results for desulfurization and ash removal in the
investigated parameter intervals were compared and the fit was identified. In
the experimental removal of sulfur types with optimum desulfurization it was
found that pyritic 17.02%, sulfate
16.67% and organic 9.52%..
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | December 15, 2018 |
Published in Issue | Year 2018 Volume: 157 Issue: 157 |
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