复杂薄壁、薄板类零件高速加工技术初探

从加工方法,加工参数,工装夹具等方面对薄壁、薄板类零件的加工进行深入探讨,有效地解决了薄壁、薄板类零件的加工,为今后进行此类零件的加工进行了有益的技术储备。     

Mechanism parameters optimization of bionic frog jumping robot based on velocity directional manipulability measure

以速度方向可操作度作为跳跃性能的评价指标,从机构设计角度寻求改善仿蛙跳跃机器人跳跃性能的方法.在仿蛙跳跃机器人机构模型的基础上,建立了起跳阶段的运动学方程,得到机器人从关节空间到质心运动空间的速度映射关系,结合速度方向可操作度,利用优化算法对仿蛙跳跃机器人的机构参数进行优化,使机器人的跳跃性能达到最佳.优化结果表明,运用速度方向可操作度理论,对跳跃机器人机构参数进行优化研究是有效可行的.     

Using the MIR bands in vegetation indices for the estimation of grassland biophysical parameters from satellite remote sensing in the Alps region of Trentino (Italy)

Development of new methods for estimating biophysical parameters can be considered one of the most important targets for the improvement of grassland parameters estimation at full canopy cover. In fact, accurate assessment methods of biophysical characteristics of vegetation are needed in order to avoid the uncertainties of carbon terrestrial sinks.

Remote sensing is a valid tool for scaling up ecosystem measurements towards landscape levels serving a wide range of applications, many of them being related to carbon-cycle models. The aim of this study was to test the suitability of satellite platform sensors in estimating grassland biophysical parameters such as LAI, biomass, phytomass, and Green herbage ratio (GR). Also, we wanted to compare some of the most common NIR and red/green-based vegetation indices with ones that also make use of the MIR band, in relation to their ability to predict grassland biophysical parameters.

Ground-truth measurements were taken on July 2003 and 2004 on the Monte Bondone plateau (Italian Alps, Trento district) in grasslands varying in land use and management intensities. From satellite platforms, an IRS-1C-LISS III image (18/07/2003; 25 m resolution in the visible-NIR and 70 m resolution in the MIR) and a SPOT 5 image (27/07/2004, 10 m resolution in the visible-NIR and MIR) were used.

LAI, biomass, and phytomass measurements showed logarithmic relationships with the investigated NIR and red/green-based indices. GreenNDVI showed the highest R² values (0.59, IRS 2003; 0.60, SPOT 2004). Index saturation occurred above approximately 100–150 g m⁻² of biomass (LAI 1.5–2). On the other hand, GR relationships were shown to be linear. MIR-based indices performed better than NIR and red/green-based ones in estimating biophysical variables, with no saturation effect. Biomass showed a linear regression with Canopy Index (MIR/green ratio) and with the Normalised Canopy Index (NCI) calculated as a normalised difference between MIR and green bands (IRS: R² = 0.91 and 0.90, respectively. SPOT: R² = 0.63 and 0.64). Similar correlations could also be found for LAI and phytomass, and GR predictability was shown to be higher than NDVI and GreenNDVI. According to these results obtained in the investigated areas, phytomass, biomass, LAI, and GR are linearly correlated with the investigated MIR band indices and as a result, these parameters could be estimated from the adopted satellite platforms with limited saturation problems.     

GRACE gravity field modeling with an investigation on correlation between nuisance parameters and gravity field coefficients

The GRACE (Gravity Recovery And Climate Experiment) monthly gravity models have been independently produced and published by several research institutions, such as Center for Space Research (CSR), GeoForschungsZentrum (GFZ), Jet Propulsion Laboratory (JPL), Centre National d’Etudes Spatiales (CNES) and Delft Institute of Earth Observation and Space Systems (DEOS). According to their processing standards, above institutions use the traditional variational approach except that the DEOS exploits the acceleration approach. The background force models employed are rather similar. The produced gravity field models generally agree with one another in the spatial pattern. However, there are some discrepancies in the gravity signal amplitude between solutions produced by different institutions. In particular, 10%–30% signal amplitude differences in some river basins can be observed. In this paper, we implemented a variant of the traditional variational approach and computed two sets of monthly gravity field solutions using the data from January 2005 to December 2006. The input data are K-band range-rates (KBRR) and kinematic orbits of GRACE satellites. The main difference in the production of our two types of models is how to deal with nuisance parameters. This type of parameters is necessary to absorb low-frequency errors in the data, which are mainly the aliasing and instrument errors. One way is to remove the nuisance parameters before estimating the geopotential coefficients, called NPARB approach in the paper. The other way is to estimate the nuisance parameters and geopotential coefficients simultaneously, called NPESS approach. These two types of solutions mainly differ in geopotential coefficients from degree 2 to 5. This can be explained by the fact that the nuisance parameters and the gravity field coefficients are highly correlated, particularly at low degrees. We compare these solutions with the official and published ones by means of spectral analysis. It is found that our solutions are, in general, consistent with others in the spatial pattern. The water storage variations of the Amazon, Chari and Ganges river basins have also been computed. The variations computed with the NPARB approach are closer to those produced by JPL and DEOS solutions, while the variations produced with the NPESS approach are in good agreement with those produced by the CSR and GFZ solutions. A simulation study is implemented with considering realistic noise and low-frequency error. The two approaches are used to recover the true model. The NPESS solution appears closer to the true one. Therefore we are inclined to estimate the nuisance parameters simultaneously with the geopential coefficients.     

自由返回轨道的P平面参数快速设计方法

针对自由返回轨道求解过程中地心轨道类型变化造成的B平面参数方法计算失败问题,提出一种基于P平面参数的自由返回轨道快速设计方法。首先,基于轨道半通径参数的普适性,给出了不同轨道类型的P平面参数定义,建立了以P平面参数为求解目标量的自由返回轨道求解模型。其次,给出了基于P平面参数的自由返回轨道快速设计方法,在构建的瞬时地月惯性系下,以平面双二体自由返回轨道作为初值,实现了高精度力模型下的自由返回轨道快速求解。对8种构型自由返回轨道的设计结果表明,P平面参数具有类似于B平面参数的大收敛域,且有效解决了轨道类型变化对计算的影响,可直接应用于中国后续月球探测任务轨道设计。     

超燃冲压发动机燃烧室空气节流技术研究

为考察空气节流对超燃冲压发动机燃烧室的影响,非定常数值模拟和地面实验相结合证实了空气节流可以实现超燃燃烧室燃料稳定燃烧,研究了节流位置、节流流量、节流撤去时间对节流效果的影响。结果表明:在燃烧室入口马赫数2,静温548.8K,静压101555.9Pa条件下,745mm处节流时,激波串稳定时间较短,稳焰失败;875mm处节流时,火焰稳定成功。随着节流流量和节流撤去时间的增加,燃烧越来越剧烈,壁面压力逐渐升高,可能影响进气道的起动,对于本文来流条件,30%入口空气流量作为节流流量是合适的,440ms以前撤去空气节流是恰当的。     

航空拖靶系统大长度拖缆飞行参数计算与分析

针对航空拖靶系统中大长度拖缆张力、下沉量等参数设计问题,给出了计算方法。结合某拖靶系统大长度拖缆的设计,对拖缆进行了多种结构组成状态下的飞行参数计算和对比分析,给出了优化后的设计结果,并应用于实际产品。经飞行验证,取得了满意的效果。     

结合损伤力学与有限元方法预估铆接结构疲劳寿命

利用飞机铆接试验件疲劳试验数据,结合损伤力学与有限元方法,通过MATLAB调用ABAQUS进行损伤演化方程参数的遗传优化反演。将反演得到的损伤演化方程用于飞机结构疲劳寿命预估中,对机翼蒙皮锪窝形式的铆接结构进行了寿命计算和分析,并与试验数据作对比,证明了方法的可行性。     

基于核心机的GTF发动机方案研究

齿轮传动风扇(GTF)发动机具有部件效率高、噪声低、级数少和质量轻的特点,是未来大型民用发动机的主要发展方向之一。为加快后续发动机的发展,在现有核心机的基础上,通过发动机典型气动循环参数的匹配分析,完成GTF发动机总体性能设计方案。分析了涵道比、风扇外涵压比、低压压气机压比、传动比等参数对GTF发动机性能的影响,初步确定参数选取范围。通过对比相同涵道比的GTF发动机与常规结构发动机,其推力和耗油率等性能指标基本接近,但GTF发动机具有低压部件级数显著减少的优点;总结了GTF发动机特有的关键技术。     

基于GA-ELM的飞行载荷参数识别

针对用复杂飞行数据识别飞行载荷时的精度低、速度慢等问题,提出一种结合遗传算法(GA)和极限学习机(ELM)的GA-ELM模型。该模型使用ELM神经网络作为计算核心,用遗传算法产生ELM网络输入层到隐含层的权值矩阵和隐含层偏移量;用GA-ELM模型对飞行数据进行识别,并与BP神经网络和原始ELM神经网络的识别结果进行对比。结果表明:GA-ELM模型是一种有效且高精度的飞行载荷参数识别方法。