Department of Safety, Health and Environmental Engineering, National United University, Miaoli 360, Taiwan.
J Hazard Mater. 2012 May 30;217-218:149-55. doi: 10.1016/j.jhazmat.2012.03.007. Epub 2012 Mar 10.
In this investigation, the shrinking core model is used to study the rate of aluminum salt leaching from water purification sludge (WPS). This model, which describes the aluminum leaching rate, can be developed to maximize the Al(III) recovering efficiency. Laboratory results indicate that when the mixing speed exceeds 80rpm, the effect of film diffusion control on the leaching process is greatly reduced, such that any further increase in the mixing speed does not affect the Al(III) leaching rate. Additionally, increasing the temperature or acid concentration improves Al(III) leaching rate. The laboratory data were verified by using the shrinking core model to confirm that the leaching of Al(III) from WPS is consistent with the inert-layer diffusion control model. This finding reveals that large amounts of SiO(2), Al(2)O(3) and other inert constituents will form an inter diffusion layer in the WPS and thus become the major limiting factors that control the Al(III) leaching process. The dynamic equation can be expressed as 1-3(1-x)(2/3)+2(1-x)=(2707.3 exp(-3887.6/T))t, in which the apparent activation energy and pre-exponential factors are 32.32 kJ/mol and 2707.3 min(-1), respectively, as determined by solving the Arrhenius equation.
在这项研究中,采用收缩核模型来研究从水净化污泥(WPS)中浸出铝盐的速率。该模型描述了铝浸出速率,可以进行开发以最大限度地提高 Al(III) 的回收效率。实验室结果表明,当混合速度超过 80rpm 时,膜扩散控制对浸出过程的影响大大降低,因此进一步提高混合速度不会影响 Al(III) 的浸出速率。此外,提高温度或酸浓度可以提高 Al(III)的浸出速率。通过使用收缩核模型验证实验室数据,证实了从 WPS 中浸出 Al(III)符合惰性层扩散控制模型。这一发现表明,大量的 SiO(2)、Al(2)O(3)和其他惰性成分将在 WPS 中形成一个扩散层,因此成为控制 Al(III)浸出过程的主要限制因素。动力学方程可以表示为 1-3(1-x)(2/3)+2(1-x)=(2707.3 exp(-3887.6/T))t,其中通过求解阿伦尼乌斯方程确定的表观活化能和指前因子分别为 32.32 kJ/mol 和 2707.3 min(-1)。