Scientific objectives and payloads of Tianwen-1, China’s first Mars exploration mission

This paper describes the scientific objectives and payloads of Tianwen-1, China’s first exploration mission to Mars. An orbiter, carrying a lander and a rover, lifted-off in July 2020 for a journey to Mars where it should arrive in February 2021. A suite of 13 scientific payloads, for in-situ and remote sensing, autonomously commanded by integrated payload controllers and mounted on the orbiter and the rover will study the magnetosphere and ionosphere of Mars and the relation with the solar wind, the atmosphere, surface and subsurface of the planet, looking at the topography, composition and structure and in particular for subsurface ice. The mission will also investigate Mars climate history. It is expected that Tianwen-1 will contribute significantly to advance our scientific knowledge of Mars.     

Predicting performance in manually controlled rendezvous and docking through spatial abilities

Manually controlled rendezvous and docking (manual RVD) is a challenging space task for astronauts. This study aims to identify spatial abilities that are critical for accomplishing manual RVD. Based on task analysis, spatial abilities were deduced to be critical for accomplishing manual RVD. 15 Male participants performed manual RVD task simulations and spatial ability tests (the object-manipulation spatial ability and spatial orientation ability). Participants’ performance in the test of visualization of viewpoints (which measures the spatial orientation ability) was found to be significantly correlated with their manual RVD performance, indicating that the spatial orientation ability in the sense of perspective taking is particularly important for accomplishing manual RVD.     

Aircraft Engine Gas Path Fault Diagnosis Based on Hybrid PSO-TWSVM

Twin support vector machine(TWSVM)is a new development of support vector machine(SVM)algorithm.It has the smaller computation scale and the stronger ability to cope with unbalanced problems.In this paper,TWSVM is introduced into aircraft engine gas path fault diagnosis.The generalization capacity of Gauss kernel function usually used in TWSVM is relatively weak.So a mixed kernel function is used to improve performance to ensure that the TWSVM algorithm can better balance a strong generalization ability and a good learning ability.Experimental results prove that the cross validation training accuracy of TWSVM using the mixed kernel function averagely increases 2%.Grid search is usually applied in parameter optimization of TWSVM,but it heavily depends on experience.Therefore,the hybrid particle swarm algorithm is introduced.It can intelligently and rapidly find the global optimum.Experiments prove that its training accuracy is better than that of the classical particle swarm algorithm by 5%.     

The Kumtag meteorite strewn field

The Kumtag meteorite strewn field was found in the Kumtag desert, 132 km south of Hami city in the Xinjiang province, China. It is an ellipse of 2.5 × 7.9 km, with a long axis extending along the northeast-southwest direction. The largest individual meteorite of the strewn field weighs about 10 kg; the smallest individual has a mass of only 27 g. In total, more than 100 individuals with a total mass of more than 180 kg were collected. The location and the distribution of the fragments suggest that the Kumtag meteoroid entered the atmosphere in the direction Northeast-Southwest. All meteorites collected in this strewn field are samples from the same unique meteorite shower. The Kumtag meteorite is an H5 ordinary chondrite with a shock stage S2, and a weathering grade W2. The cosmic ray exposure age of Kumtag is 6.7 ± 0.8 Ma, which is rather typical for H chondrites and which indicates that Kumtag was derived from the massive impact event on its parent body ~7 Ma ago. A significant amount of He has been lost during certain unknown processe(s) before the Kumtag meteorite was ejected from its parent body.     

基于线结构光的飞机蒙皮对缝阶差与间隙测量技术研究

针对飞机蒙皮对缝阶差与间隙的数字化检测问题,以线结构光视觉测量技术为基础,提出了阶差与间隙测量模型,从阶差与间隙的尺寸和位置两个方面设计测量方法。使用线结构光视觉传感器完成阶差与间隙的尺寸测量,同时利用iGPS测量系统对视觉传感器的位姿进行实时跟踪测量,从而确定阶差与间隙的测量位置。通过试验验证了算法的正确性和稳定性,能够实现非接触、高精度测量:试验结果表明:5mm内阶差的重复测量精度优于0.04mm,间隙的重复测量精度优于0.05mm。     

复合材料飞机结构材料和设计许用值的确定方法

分析国内外复合材料飞机结构材料许用值、设计许用值的确定原则和方法,研究给出了复合材料结构材料许用值的表征和应用、试验以反试验数据的统计分析方法,以及静强度、疲劳强度、损伤容限和修理设计许用值的确定方法.     

黏胶纤维在低温热处理过程中的热收缩性能

利用动态热机械分析仪结合热失重曲线和红外光谱图分析了黏胶纤维在低温热处理过程中的热收缩行为,研究了催化剂、张力等因素对热收缩性能的影响,并结合热解机理阐述了这一过程中黏胶纤维的结构变化,对于黏胶基碳纤维制备工艺参数的选取提供了一定信息.     

基于模态与遗传优化的某卡车振动特性分析

针对汽车驾驶室在常用高速(65～80 km/h)时,驾驶室左右晃动的振动问题,分别建立了车体、车体与板簧的系统模型,通过试验和仿真计算得到了其自由与约束状态下的振动模态分布,找到了驾驶室产生晃动的主要原因.以板簧刚度、车体刚度为变量,将约束模态分析与遗传算法相结合,对板簧和车体组成的系统进行了优化,并通过改进使常用车速下的驾驶室响应达到了舒适性要求.