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Hollow tubes constructed by carbon nanotubes self-assembly for CO_(2) capture
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作者 chen xu-rui WU Jun +1 位作者 GU Li CAO Xue-bo 《Journal of Central South University》 SCIE EI CAS CSCD 2024年第7期2256-2267,共12页
Carbon nanotubes(CNTs)have garnered significant attention in the fields of science,engineering,and medicine due to their numerous advantages.The initial step towards harnessing the potential of CNTs involves their mac... Carbon nanotubes(CNTs)have garnered significant attention in the fields of science,engineering,and medicine due to their numerous advantages.The initial step towards harnessing the potential of CNTs involves their macroscopic assembly.The present study employed a gentle and direct self-assembly technique,wherein controlled growth of CNT sheaths occurred on the metal wire’s surface,followed by etching of the remaining metal to obtain the hollow tubes composed of CNTs.By controlling the growth time and temperature,it is possible to alter the thickness of the CNTs sheath.After immersing in a solution containing 1 g/L of CNTs at 60℃ for 24 h,the resulting CNTs layer achieved a thickness of up to 60μm.These hollow CNTs tubes with varying inner diameters were prepared through surface reinforcement using polymers and sacrificing metal wires,thereby exhibiting exceptional attributes such as robustness,flexibility,air tightness,and high adsorption capacity that effectively capture CO_(2) from the gas mixture. 展开更多
关键词 carbon nanotubes SELF-ASSEMBLY hollow tubes CO_(2) capture
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对外客运枢纽出租车接续运输供需匹配度评价方法
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作者 吴玉兰 陈旭蕊 +2 位作者 柴娇龙 翁剑成 孙宇星 《交通运输研究》 2022年第5期11-18,共8页
为解决因旅客出行方式选择的动态性和随机性而导致的抵达客流需求与运输运力供给不匹配的问题,建立了出租车接续运输供需匹配评价模型。首先,根据出租车排队特征和出租车供给情况,将枢纽场站内出租车接续运输的实际场景划分为出租车供... 为解决因旅客出行方式选择的动态性和随机性而导致的抵达客流需求与运输运力供给不匹配的问题,建立了出租车接续运输供需匹配评价模型。首先,根据出租车排队特征和出租车供给情况,将枢纽场站内出租车接续运输的实际场景划分为出租车供给充足和供给不足两种情形;然后,将积压后移平稳估计法(Stationary Backlog-Carryover,SBC)考虑进M/M/C排队模型中,结合出租车运力、出租车数量和排队人数等,从实际旅客排队场景出发构建评价模型,同时引入出租车供需匹配度评价指标(指标值为10min)进行对比分析。最后,以北京南站东侧调度站为例,应用出租车接续运输供需匹配评价模型对其出租车接续运输供需匹配情况进行评价,并将计算得出的平均等待时间与实际测算的平均等待时间进行对比,验证了模型的准确性。计算结果显示:调查日内晚高峰时段乘客平均等待时间为6.24min,小于指标值,供需匹配情况较好;夜间时段乘客平均等待时间为15.20min,大于指标值,供需匹配情况较差。据此,未来枢纽管理部门和接续运输企业可根据实时出租车供需匹配情况合理安排出租车调度,提高枢纽运力保障和应急能力,实现旅客的快速有序疏散。 展开更多
关键词 对外客运枢纽 接续运输 出租车需求 排队时长 供需匹配评价 SBC方法
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