Growth and aggregation control of spinel by shear-force-based melting modification of stainless steel slag

Qing Zhao , Cheng-jun Liu , Tian-ci Gao , Long-hu Cao , Mao-fa Jiang

International Journal of Minerals, Metallurgy, and Materials ›› 2018, Vol. 25 ›› Issue (10) : 1140 -1147.

PDF
International Journal of Minerals, Metallurgy, and Materials ›› 2018, Vol. 25 ›› Issue (10) : 1140 -1147. DOI: 10.1007/s12613-018-1665-9
Article

Growth and aggregation control of spinel by shear-force-based melting modification of stainless steel slag

Author information +
History +
PDF

Abstract

To improve the efficiency of melting modification for stainless steel (SS) slag, a shear force was introduced in this work and its effects on the spinel and silicate melt were experimentally investigated. The results indicated that the use of shear force changed the nucleation and growth behaviors of spinel and that the effects of shear force varied with its intensity. The aggregation behavior of spinel under different shear-force conditions was studied, revealing that large spinel clusters could be formed when the stirring speed was controlled. However, no notable change in the melt structure of the silicate was detected in this study. The optimal stirring speed for the melting modification treatment was 50 r·min−1, which substantially promoted spinel growth and aggregation, resulting in modified SS slag with excellent chromium sequestration capability.

Keywords

stainless steel slag / spinel / crystal growth / melting modification / shear force / chromium sequestration

Cite this article

Download citation ▾
Qing Zhao, Cheng-jun Liu, Tian-ci Gao, Long-hu Cao, Mao-fa Jiang. Growth and aggregation control of spinel by shear-force-based melting modification of stainless steel slag. International Journal of Minerals, Metallurgy, and Materials, 2018, 25(10): 1140-1147 DOI:10.1007/s12613-018-1665-9

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Shen H.T., Forssberg E., Nordström U. Physicochemical and mineralogical properties of stainless steel slags oriented to metal recovery. Resour. Conserv. Recycl., 2004, 40(3): 245.

[2]

Okabe Y., Tajima I., Ito K. Thermodynamics of chromium oxides in CaO−SiO2−CaF2 slag. Metall. Mater. Trans. B, 1998, 29(1): 131.

[3]

Guo M.X., Durinck D., Jones P.T., Heylen G., Hendrickx R., Baeten R., Blanpain B., Wollants P. EAF stainless steel refining—part I: Observational study on chromium recovery in an eccentric bottom tapping furnace and a spout tapping furnace. Steel Res. Int., 2007, 78(2): 117.

[4]

Gelfi M., Cornacchia G., Roberti R. Investigations on Leaching Behavior of EAF Steel Slags [Dissertation], 2010 70.

[5]

Chaurand P., Rose J., Domas J., Bottero J.Y. Speciation of Cr and V within BOF steel slag reused in road constructions. J. Geochem. Explor., 2006, 88(1–3): 10.

[6]

Dong P.L., Wang X.D., Seetharaman S. Thermodynamic activity of chromium oxide in CaO−SiO2−MgO−Al2O3−CrOx melts. Steel Res. Int., 2009, 80(3): 202.

[7]

Mombelli D., Mapelli C., Barella S., Cecca C.D., Saout G.L., Garcia–Diaz E. The effect of microstructure on the leaching behaviour of electric arc furnace (EAF) carbon steel slag. Process Saf. Environ. Prot., 2016, 102, 810.

[8]

Zhao Q., Liu C.J., Li B.K., Jiang M.F. Decomposition mechanism of chromite in sulfuric acid−dichromic acid solution. Int. J. Miner. Metall. Mater., 2017, 24(12): 1361.

[9]

Zhao Q., Liu C.J., Shi P.Y., Zhang B., Jiang M.F., Zhang Q.S., Saxén H., Zevenhoven R. Sulfuric acid leaching of South African chromite. Part 1: Study on leaching behavior. Int. J. Miner. Process., 2014, 130, 95.

[10]

Zhao Q., Liu C.J., Zhang B., Jiang M.F., Qi J., Saxén H., Zevenhoven R. Study on extraction of iron from chromite. Steel Res. Int., 2015, 86(12): 1541.

[11]

Cao L.H., Liu C.J., Zhao Q., Jiang M.F. Effect of Al2O3 modification on enrichment and stabilization of chromium in stainless steel slag J. Iron Steel Res. Int., 2017, 24(3): 258.

[12]

Cabrera–Real H., Romero–Serrano A., Zeifert B.H., Hernandez–Ramirez A., Hallen–Lopez M., Cruz–Ramirez A. Effect of MgO and CaO/SiO2 on the immobilization of chromium in synthetic slags. J. Mater. Cycles Waste Manage., 2012, 14(4): 317.

[13]

Albertsson G., Teng L.D., Björkman B., Seetharaman S., Engström F. Effect of low oxygen partial pressure on the chromium partition in CaO−MgO−SiO2−Cr2O3−Al2O3 synthetic slag at elevated temperatures. Steel Res. Int., 2013, 84(7): 670.

[14]

Li J.L., Xu A.J., He D.F., Yang Q.X., Tian N.Y. Effect of FeO on the formation of spinel phases and chromium distribution in the CaO−SiO2−MgO−A12O3−Cr2O3 system. Int. J. Miner. Metall. Mater., 2013, 20(3): 253.

[15]

Shu Q.F., Luo Q.Y., Wang L.J., Chou K. Effects of MnO and CaO/SiO2 mass ratio on phase formations of CaO−Al2O3−MgO−SiO2−CrOx slag at 1673K and PO2=10−10 atm. Steel Res. Int., 2015, 86(4): 391.

[16]

Tossavainen M., Engstrom F., Yang Q., Menad N., Larsson M.L., Bjorkman B. Characteristics of steel slag under different cooling conditions. Waste Manage., 2007, 27(10): 1335.

[17]

Samada Y., Miki T., Hino M. Prevention of chromium elution from stainless steel slag into seawater. ISIJ Int., 2011

[18]

Zhao Q., Liu C.J., Yang D.P., Shi P.Y., Jiang M.F., Li B.K., Saxén H., Zevenhoven R. A cleaner method for preparation of chromium oxide from chromite. Process Saf. Environ. Prot., 2017, 105, 91.

[19]

Zhou M.F., Robinson P.T., Su B.X., Gao J.F., Li J.W., Yang J.S., Malpas J. Compositions of chromite, associated minerals, and parental magmas of podiform chromite deposits: The role of slab contamination of asthenospheric melts in suprasubduction zone environments. Gondwana Res., 2014, 26(1): 262.

[20]

Ballhaus C. Origin of podiform chromite deposits by magma mingling. Earth Planet. Sci. Lett., 1998, 156(3–4): 185.

[21]

Weertman J. General theory of water flow at the base of a glacier or ice sheet. Rev. Geophys., 1972, 10(1): 287.

[22]

King D.S.H., Zimmerman M.E., Kohlstedt D.L. Stress–driven melt segregation in partially molten olivine–rich rocks deformed in torsion. J. Petrol., 2010, 51(1–2): 21.

[23]

Xiong F.H., Yang J.S., Liu Z.S. Multi–satge formation of the podiform chromitite. Geol. China, 2013, 40(3): 820.

[24]

Harada Y., Kusada K., Sukenaga S., Yamamura H., Ueshima Y., Mizoguchi T., Saito N., Nakashma K. Effects of agitation and morphology of primary crystalline phase on crystallization behavior of CaO−SiO2−CaF2 supercooled melts. ISIJ Int., 2014, 54(9): 2071.

[25]

Harada Y., Sakaguchi S., Mizoguchi T., Saito N., Nakashima K. Shear rate and crystalline phase effects on the super–cooling degree and crystallization behavior of CaO−SiO2−CaF2−RO (R = Mg, or Sr) flux systems. ISIJ Int., 2017, 57(8): 1313.

[26]

Li J.L., Shu Q.F., Chou K. Effect of agitation on crystallization behavior of CaO−Al2O3−SiO2−Na2O−CaF2 mold fluxes with varying basicity. Metall. Mater. Trans. B, 2015, 46(4): 1555.

[27]

Mandelbrot B.B. The Fractal Geometry of Nature, 1983

[28]

Popescu D.P., Flueraru C., Mao Y.X., Chang S.D., Sowa M.G. Signal attenuation and box–counting fractal analysis of optical coherence tomography images of arterial tissue. Biomed. Opt. Express, 2010, 1(1): 268.

[29]

De Boer D.H., Stone M., Lévesque L.M.J. Fractal dimensions of individual flocs and floc populations in streams. Hydrol. Processes, 2015, 14(4): 653.

[30]

Jullien R. Aggregation phenomena and fractal aggregates. Contemp. Phys., 1987, 28(5): 477.

[31]

Heinson W.R., Sorensen C.M., Chakrabarti A. A three parameter description of the structure of diffusion limited cluster fractal aggregates. J. Colloid Interface Sci., 2012, 375(1): 65.

[32]

Chakraborti R.K., Atkinson J.F., Van Benschoten J.E. Characterization of alum floc by image analysis. Environ. Sci. Technol., 2000, 34(18): 3969.

[33]

Min Y., Shi Z.X., Liu C.J. Ultrasonic depolymerization of Li2O−Na2O−SiO2 type silicate melt. Ultrason. Sonochem., 2017, 39, 727.

[34]

Mysen B.O. Structural behavior of Al3+ in silicate melts: In–situ, high–temperature measurements as a function of bulk chemical composition. Geochim. Cosmochim. Acta, 1995, 59(3): 455.

AI Summary AI Mindmap
PDF

158

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/