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RISS 인기검색어
- 검색키워드
- 저자 : Liu Zhanpeng (검색결과 2 건)
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Ali Zahid,Mushtaq M. Asim,Abbas Yasir,Liu Wei,Wu Zhanpeng 한국탄소학회 2023 Carbon Letters Vol.33 No.3
The development of heteroatoms doped inorganic nanocrystal-carbon composites (INCCs) has attained a great focus for energy applications (energy production and energy storage). A precise approach to fabricate the INCCs with homogenous distribution of the heteroatoms with an appropriate distribution of metal atoms remains a challenge for material scientists. Herein, we proposed a facile two-step route to synthesize INCC with doping of metal (α-Fe2O3) and non-metals (N, P, O) using hydrogel formed by treating hexachlorocyclotriphosphazene (HCCP) and 3, 4, 5-trihydroxy benzoic acid (Gallic acid). Metal oxide was doped using an extrinsic doping approach by varying its content and non-metallic doping by an intrinsic doping approach. We have fabricated four different samples (INCC-0.5%, INCC-1.0%, INCC-1.5%, and INCC-2.0%), which exhibit the uniform distribution of the N, P, O, and α-Fe2O3 in the carbon architecture. These composite materials were applied as anode material in water oxidation catalysis (WOC); INCC-1.5% electro-catalyst confirmed by cyclic voltammetry (CV) with a noticeable catholic peak 0.85 V vs RHE and maximal current density 1.5 mA.cm−2. It also delivers better methanol tolerance and elongated stability than RuO2; this superior performance was attributed due to the homogenous distribution of the α-Fe2O3 causing in promotion of adsorption of O2 initially and a greater surface area of 1352.8 m2/g with hierarchical pore size distribution resulting higher rate of ion transportation and mass-flux.
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Cui Junguo,Mei Lianpeng,Xiao Wensheng,Liu Zhanpeng 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
Three methods i.e. Response surface, Taguchi, and improved Taguchi are used for multi-objective design optimization of the drilling permanent magnet synchronous motor (DPMSM) in this study. The optimization objectives are determined according to the performance requirements of the DPMSM aiming to maximize efciency and minimize the torque ripple coefcient. 4 Of 8 electromagnetic parameters were screened as signifcant factors by factorial experiment. The response surface approach uses data from fnite element analysis to ft a polynomial model between objectives and factors. The particle swarm optimization with constrict factor (PSOCF) algorithm is used for determining the Pareto frontier. In the Taguchi method, the efects of the noise factors on the optimization objective are considered. The combinations of signifcant factor levels for diferent objectives obtained from orthogonal experiments were fused into an optimal combination based on the infuence proportion of factors. In the improved Taguchi method, the optimization objectives are fused into multiple performance characteristic indexes (MPCI) based on fuzzy inference. The MPCI is optimized by the Taguchi method. Then the sequential experiments are used to increase the range and efectiveness of the optimization. The characteristics and the optimization results of the three methods were compared and the improved Taguchi method was verifed based on a test of the prototype motor.
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