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21.
采用透射电镜观察了快冷态Ti-5Al-4Sn-2Zr-1Mo-0.25Si.0.3~1.2Nd合金(Ti-55合金)稀土相的形貌,发观稀土相尺寸细小(4~34nm),呈球状,均匀弥散地分布在基体中,晶界上稀土相呈椭球状,沿晶界排列。采用图像分析仪对铸态Ti-55合金稀土相进行了分析,结果表明,4种成分合金的稀土相平均尺寸为3.25~3.50μm,平均圆度系数为0.56~0.63,呈椭球状,棒状及不规则状,分布于晶界与晶内,其均匀弥散度劣于快冷态Ti-55合金的稀土相。 相似文献
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Long departure-taxi-out time leads to significant airport surface congestion, fuel-burn costs, and excessive emissions of greenhouse gases. To reduce these undesirable effects, a Predicted taxi-out time-based Dynamic Pushback Control(PDPC) method is proposed. The implementation of this method requires two steps: first, the taxi-out times for aircraft are predicted by the leastsquares support-vector regression approach of which the parameters are optimized by an introduced improved Firefly algorithm. Then, a dynamic pushback control model equipped with a linear gate-hold penalty function is built, along with a proposed iterative taxiway queue-threshold optimization algorithm for solving the model. A case study with data obtained from Beijing International airport(PEK) is presented. The taxi-out time prediction model achieves predictive accuracy within 3 min and 5 min by 84.71% and 95.66%, respectively. The results of the proposed pushback method show that total operation cost and fuel-burn cost achieve a 14.0% and 21.1%reduction, respectively, as compared to the traditional K-control policy.(3) From the perspective of implementation, using PDPC policy can significantly reduce the queue length in taxiway and taxi-out time. The total operation cost and fuel-burn cost can be curtailed by 37.2% and 52.1%,respectively, as compared to the non-enforcement of any pushback control mechanism. These results show that the proposed pushback control model can reduce fuel-burn costs and airport surface congestion effectively. 相似文献
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首先介绍离子液体电喷推力器的工作原理和分类,通过与其他相同推力量级的电推力器对比进一步分析了其特点,然后总结了离子液体电喷推力器的国内外研究现状,在此基础上重点梳理了微尺度下带电粒子的产生与加速、微细制造与精密装配、推进剂贮存和供给、高升压比微功率电源处理单元以及比冲和推力测试等离子液体电喷推力器研制过程中涉及的关键技术,最后展望了小型化、模块化与推力密度提升的发展趋势并提出离子液体电喷推力器的发展构想。 相似文献
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Conflict avoidance (CA) plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm (MA), which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm (GA) is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches. 相似文献
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本文首先综述了航线运输收益管理中两票价等级的最优运营方法的历史与现状,指出了各个经典公式的限制条件和公式推导的不严密性。然后,利用边际分析方法详细推导了一个新的最优座位安排的通用公式,对该领域的传统公式作了重要更正。最后,通过实例分析、计算并与传统公式相比,表明新公式在理论上较为完善,在工程上也实用、简便。 相似文献