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Aminated cassava residue-based magnetic microspheres for Pb(II) adsorption from wastewater
Xinling Xie,Jie Huang,Youquan Zhang,Zhangfa Tong,Anping Liao,Xingkui Guo,Zuzeng Qin,Zhanhu Guo 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.2
Aminated cassava residue magnetic microspheres (ACRPM) were synthesized via an inverse emulsion method by using chemically modified cassava residue as a crude material, and acrylic acid (AA), acrylamide (AM), and methyl methacrylate (MMA) as monomers and a polyethylene glycol/methanol system (PEG/MeOH) as the porogen. Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), N2 adsorption-desorption and vibrating sample magnetometry (VSM) were used to characterize the ACRPM. The results indicated that amino groups were grafted to the cassava residue magnetic microspheres, and the Fe3O4 nanoparticles were encapsulated in the microspheres. After porogen was added, the particle size of the ACRPM decreased from 16.5 μm to 150 nm with a pore volume of 0.05510m3/g, and the specific surface area of the ACRPM increased from 3.02 to 12.34m2/g. The ACRPM were superparamagnetic, and the saturation magnetization was 9.8 emu/g. The maximum adsorption capacity of Pb(II) on the ACRPM was 390mg/g. The ACRPM exhibited a large specific surface area and provided many adsorption sites for metal ion adsorption, which favored a high adsorption capacity. Additionally, the Pb(II) adsorption process was fitted to pseudo-second-order kinetic and Langmuir isothermal adsorption models. This suggests that the Pb(II) adsorption process was dominated by a chemical reaction process and that chemisorption was the rate-controlling step during the Pb(II) removal process. In addition, the adsorbent exhibited good stability after six consecutive reuses.
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Optimization Algorithm Based on Laplacian Location and Extension Grid
Shaohui Ma,Xinling Sun,Benzhai Hai,Xie Rui-yun 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.9
This article put forward an optimization algorithm of triangle grid model based on Laplacian coordinate constraint and a fast reconstruction algorithm of model topology structure based on STL file, such methods may enhance the quality of triangular patch as well as splendidly remain local geometric features of original grid model. The character of it is there’s unnecessary to distinguish constraint vertex and free vertex no longer and to carry on a double restraints to location and Laplacian coordinate for all vertex, then solve a linear system, which contains double restraint, with least-squares sense to carry on an relocation for all vertex. The experimental results showed that proposed algorithm is provided with a certain advantage in terms of detail features of grid compared with precedent Laplacian optimization algorithm.
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