Volume 42 Issue 1
Feb.  2021
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Piao Rongxun, Li Xuan, Ji Ying. Research and modeling on thermal conductivity of high temperature heat storage material based on vanadium tailings[J]. IRON STEEL VANADIUM TITANIUM, 2021, 42(1): 93-99. doi: 10.7513/j.issn.1004-7638.2021.01.015
Citation: Piao Rongxun, Li Xuan, Ji Ying. Research and modeling on thermal conductivity of high temperature heat storage material based on vanadium tailings[J]. IRON STEEL VANADIUM TITANIUM, 2021, 42(1): 93-99. doi: 10.7513/j.issn.1004-7638.2021.01.015

Research and modeling on thermal conductivity of high temperature heat storage material based on vanadium tailings

doi: 10.7513/j.issn.1004-7638.2021.01.015
  • Received Date: 2020-10-06
  • Publish Date: 2021-02-10
  • Using vanadium tailings as the base material, high silicon containing clay as auxiliary material and graphite material as modifier, the preparation of the high temperature sensible heat storage materials was carried out by means of carbon thermal reduction followed by powder metallurgy. The effects of graphite content on phase evolution, specific heat capacity and heat conduction of sensible heat storage material were studied. XRD phase analysis result shows that the main phases of the material include quartz, albite, ilmenite and carbonate. With the increase of graphite content, the ratio of quartz decreases. The specific heat capacity test results show that the specific heat capacity firstly increases and then decreases with the increase of graphite content. When the graphite content is 3%, the specific heat capacity is the highest, and the specific heat capacity at 500~700 ℃ is 820~3 180 J/(kg·K). The thermal conductivity test results show that when the graphite content is less than 5%, the thermal conductivity of the heat storage material changes slightly, basically remains at about 0.75 W/(m·K); when the graphite content is more than 5%, the thermal conductivity presents an upward trend. In order to further explore the effect of graphite on thermal conductivity of heat storage materials, the modeling calculation is carried out, and by replacing the volume fraction term of dispersion with the nonlinear correction term, the modified Maxwell model could well predict the experimental data.
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