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Materials Engineering

Optimizing for Preparing Sodium Silicate from Opal of Palygorskite Using Response Surface Method

  • WANG Can LIU Hai-bo XIE Jing-jing LU Guang-hui YU Long-qing CHEN Tian-hu
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  • 1. Lab. Nanomineralogy Environ. Mater., Sch. Resour. Environ. Eng., Hefei University of Technology, Hefei, Anhui 230009, China;
    2. Xuyi Sinoma Attapulgite Corporation, Xuyi Center of Attapulgite Applied Technology and Engineering, Xuyi, Jiangsu 211700, China

Received date: 2016-10-19

  Revised date: 2016-11-01

  Online published: 2017-04-19

Abstract

The preparation of sodium silicate based on opal rich palygorskite by using response surface method was studied. The weighted mean of both sodium silicate modulus and leaching rate of SiO2 was chosen as the response variables based on the single factor experiment. According to the Box-behnken center combination experiment, the reaction temperature, liquid-solid ratio and mass of NaOH to SiO2 were optimized. In addition, the statistical ANOVA analysis and confirmation tests were studied. The sodium silicate modulus of 2.85 and leaching rate of 81.4% can be obtained at an optimal parameters (reaction temperature 110 ℃, mass of NaOH to SiO2 6:1 and liquid-solid ratio 4.05:10), meanwhile, the weighted mean reached a maximum value of 76.1. The correlation coefficient (R2) of the weighted mean was 0.9921, indicating that the model of response surface method showed a good agreement with the experimental data.temperature, liquid-solid ratio and mass of NaOH to SiO2 were optimized. In addition, the statistical ANOVA analysis and confirmation tests were studied. The sodium silicate modulus of 2.85 and leaching rate of 81.4% can be obtained at an optimal parameters (reaction temperature 110 ℃, mass of NaOH to SiO2 6:1 and liquid-solid ratio 4.05:10), meanwhile, the weighted mean reached a maximum value of 76.1. The correlation coefficient (R2) of the weighted mean was 0.9921, indicating that the model of response surface method showed a good agreement with the experimental data.

Cite this article

WANG Can LIU Hai-bo XIE Jing-jing LU Guang-hui YU Long-qing CHEN Tian-hu . Optimizing for Preparing Sodium Silicate from Opal of Palygorskite Using Response Surface Method[J]. The Chinese Journal of Process Engineering, 2017 , 17(2) : 382 -388 . DOI: 10.12034/j.issn.1009-606X.216326

References

[1] 孙勤.我国硅酸钠的生产及开发应用现状[J].氯碱工业, 2001, (12):29-31
[2] 殷经运.硅酸钠的发展及其前景分析[J].中国洗涤用品工业, 2015, (8):39-42
[3]吴杨, 李文深, 张书宇, 等.内蒙古油砂尾砂制备水玻璃的工艺研究[J].无机盐工业, 2015, 47(7):55-57
[4] 陈天虎, 徐晓春, 岳书仓.苏皖凹凸棒石黏土纳米矿物学及地球化学[M]. 北京: 科学出版社, 2004.
[5] 郑水林, 李杨.用蛋白土为原料制备硅酸钠的研究[J].非金属矿, 1996, (3):13-14
[6] 王钰, 陈俊涛, 郑水林, 等.用蛋白土制备硅酸钠工艺研究[J].非金属矿, 2007, (01):14-16
[7]Yang ZH, Huang J, Zeng G M, et al.Optimization of flocculation conditions for kaolin suspension using the composite flocculant of MBFGAI and PAC by response surface methodology[J].Bioresource Technology, 2009, 100(18):4233-4239
[8]Karacan F, Ozden U, Karacan S.Optimization of manufacturing conditions for activated carbon from Turkish lignite by chemical activation using response surface methodology[J].Applied Thermal Engineering, 2007, 27(7):1212-1218
[9]Li X D, Jia R, Li P S, et al.Response surface analysis for enzymatic decolorization of Congo red by manganese peroxidase[J].Journal of Molecular Catalysis B: Enzymatic, 2009, 56(1):1-6
[10]冯柳毅, 林荣毅, 田登超, 等.酸浸工艺脱除微硅粉杂质离子及其对热碱溶解过程的强化[J].化工进展, 2015, 34(12):4379-4384
[11] 段晓芳, 方莉, 杨凤玲, 等.氧化铝对煤矸石提铝废渣制备水玻璃的影响[J].环境工程学报, 2015, 9(5):2399-2404
[12]贾凤梅, 陈俊涛, 郑水林.用硅藻土制备硅酸钠工艺试验研究[J].非金属矿, 2006, 29(4):31-33
[13]于洪浩, 薛向欣, 黄大威.铁尾矿制备白炭黑的实验研究[J].过程工程学报, 2008, 8(02):300-304
[14] Yu H H, Xue X X, Huang D W.Synthesis of mesoporous silica materials (MCM-41) from iron ore tailings[J].Materials Research Bulletin, 2009, 44(11):2112-2115
[15] 刘成梅, 张彦军, 李俶, 等.响应面分析法优化稻壳灰制备纳米级白炭黑工艺[J].南昌大学学报(理科版), 2009, (05):438-444
[16] 李莉, 张智, 张赛, 等.基于响应面法优化MAP法处理垃圾渗滤液工艺的研究.环境工程学报[J], 2010, (06):1289-1295
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