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- 저자 : ( Li Xiangzhi ) (검색결과 3 건)
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Wenjun Li,Hui Zhang,Pei Chen,Jiale Yao,Xiangzhi Dong 한국섬유공학회 2023 Fibers and polymers Vol.24 No.2
In this study, Ag-doped g-C3N4-TiO2 nanocomposite photocatalysts were deposited on the surface of cotton fabric by a simpleone-step hydrothermal method. The structure features of as-modified cotton fabric were examined by a series of characterizationtechniques, including scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction(XRD) spectroscopy, X-ray photoelectron spectroscopy (XPS), UV–Vis diffuse reflectance spectroscopy (DRS) andphotoluminescence spectroscopy (PL). The experimental results showed that highly dispersed Ag nanoparticles were dopedinto g-C3N4-TiO2 nanocomposites which were evenly coated on the fabric surface. The introduction of Ag nanoparticles intog-C3N4-TiO2 composites could significantly improve the photodegradation rate of methyl orange (MO) dye under visiblelight irradiation. Importantly, the doping site of Ag nanoparticles had a significant influence on the photocatalytic activityof Ag-doped g-C3N4-TiO2 nanocomposites. Compared with the g-C3N4-TiO2 coated cotton fabric, the Ag-doped g-C3N4-TiO2 coated cotton fabric displayed excellent photocatalytic properties for the photodegradation of MO dyes because of thenarrowed band gap and the faster separation and transfer of photoinduced charge carriers. The substrate of cotton fabric hadlittle influence on the active radicals produced by the Ag-doped g-C3N4-TiO2 nanocomposites. In addition, the as-modifiedcotton fabric exhibited good reusability and stability after five recycles for the photodegradation of MO dyes.
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Jianping Jin,Xiao Liu,Shuai Yuan,Peng Gao,Yanjun Li,Hao Zhang,Xiangzhi Meng 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.98 No.-
Red mud and coal gangue are industrial solid wastes discharged during alumina extraction and coalmining, respectively. As these are hazardous materials, their disposal leads to serious environmentalissues. In this study, an innovative utilization of red mud through co-roasting with coal gangue forseparation and recycling of iron and aluminum minerals is presented. Under optimum co-roastingconditions (550 C for 50 min), an iron concentrate containing 57.25% TFe (total iron content) with therecovery of 65.22%, and an aluminum-rich product containing 27.26% Al2O3 with the recovery of 71.37%were obtained after magnetic separation. The characteristics of mixed raw material and products allindicated that the goethite and hematite phases in the mixed raw material were transformed into amagnetite phase after co-roasting, although some of the magnetite generated during co-roasting wasoxidized to hematite again. This study demonstrates that co-roasting of coal gangue and red mud is apromising technology for the reduction of iron and activation of aluminum to realize resource recyclingwithout additional materials
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( Zhang Yankui ),( Xu Haiyun ),( Ba Bin ),( Zong Rong ),( Wang Daming ),( Li Xiangzhi ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.5
The existing direct position determinations(DPD) for coherently distributed(CD) sources are mostly applicable for uniform linear array(ULA), which result in a low degree of freedom(DOF), and it is difficult for them to realize the effective positioning in underdetermined condition. In this paper, a novel DPD algorithm for coherently distributed sources based on compressed sensing with a moving nested array is present. In this algorithm, the nested array is introduced to DPD firstly, and a positioning model of signal moving station based on nested array is constructed. Owing to the features of coherently distributed sources, the cost function of compressed sensing is established based on vectorization. For the sake of convenience, unconstrained transformation and convex transformation of cost functions are carried out. Finally, the position coordinates of the distribution source signals are obtained according to the theory of optimization. At the same time, the complexity is analyzed, and the simulation results show that, in comparison with two-step positioning algorithms and subspace-based algorithms, the proposed algorithm effectively solves the positioning problem in underdetermined condition with the same physical element number.
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