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- 저자 : Shikun Wen (검색결과 2 건)
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Research on Li0.3Na0.18K0.52NO3 promoted Mg20Al-CO3 LDH/GO composites for CO2 capture
Ying Yang,Kai Chen,Liang Huang,Min Li,Taiping Zhang,Mi Zhong,Ping Ning,Junya Wang,Shikun Wen 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.102 No.-
It has been reported that the addition of graphene oxide (GO) can increase the dispersion and heterogeneousnucleation of layered double hydroxide (LDH), thus providing more active sites, which is more conduciveto CO2 adsorption. Herein, we reported alkali metal nitrates ((Li0.3Na0.18K0.52)NO3) promoted LDHand GO composites (LDH/GO) as adsorbents for CO2 capture. The influence of mass ratio of LDH to GO, theimpregnation ratio of alkali metal nitrates, the calcination and adsorption temperature, as well as thecycling stability were investigated systematically. The results indicated that the CO2 capture capacityof LDH/GO composite with 30 mol% (Li0.3Na0.18K0.52)NO3 could reach 4.51 mmol g 1, which was 5.86times higher than LDH/GO1 without loading alkali metal nitrates. Moreover, it had outstanding CO2adsorption capacity in the range from 200 C to 320 C. In addition, the cyclic adsorption and desorptiontest manifested that the CO2 uptake of the material can reach 3.07 mmol g 1 after 22 cycles. We believethat this study will give a significant contribution to fabrication of LDH based composites as CO2 adsorbentsin future study.
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Error compensation for snake arm maintainer under variable loads
Guodong Qin,Huapeng Wu,Aihong Ji,Huan Shen,Qian Li,Qingfei Han,Zhikang Yang,Shikun Wen 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.2
The cable-driven snake arm maintainer (SAM) simplifies the electronics of the entire snake arm and is well suited for operation in narrow and high-risk environments. However, the structural features of the SAM, the large slenderness ratio and the effects of variable loads and rigid-flexible coupling deformation lead to large end position error. In order to improve the positional accuracy, a joint space error compensation model of a SAM is constructed using the matrix differentiation method. The error parameters under different loads and different poses are identified based on the principles of variable parameter error compensation and a linearized variable-load variable-parameter model. Parameter errors are then calculated by the Levenberg-Marquardt nonlinear damped least-squares algorithm. Finally, we verify the effectiveness of the proposed algorithm by simulation and error compensation experiments. The results of the study provide a theoretical basis for further accuracy improvement and application expansion of the SAM.
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