固化工艺影响L形复合材料制件固化变形研究

通过数值模拟方法,利用ABAQUS有限元仿真软件,模拟含R角的复合材料构件的固化过程.根据已有的固化工艺,比较不同工艺条件对复合材料构件固化过程中的温度场和固化度场及变形的影响.结果表明,合理地降低固化工艺温度和固化冷却速率可以减少残余应力的积累,缓解固化变形.     

一种C/C密封材料的设计与性能表征

设计并制备了一种C/C密封材料。该材料以针刺无纬布为预制体,依次进行了CVD炭、树脂炭和沥青炭致密,中间热处理温度为2 500℃,最终进行封孔不透性改性处理。所得材料的综合性能良好,其密度1.92 g/cm3,开孔率0.06%,肖氏硬度77,轴向压缩强度232 MPa,轴向弯曲强度158 MPa,并成功通过多次冷试和热试考核。     

模具材料线胀系数对复合材料固化变形的影响研究

为了研究模具材料线胀系数对复合材料固化变形的影响,面向复合材料零件热压罐固化成形工艺过程,针对复合材料成形模具材料与复合材料零件线胀系数不一致导致复合材料零件热固化变形的问题,研究了模具与复合材料零件相互作用关系,推导了模具对复合材料固化变形的理论模型,利用ABAQUS等仿真软件建立了模具温度场的数值模拟模型,并将模具热变形的模拟数据与复合材料零件变形的试验数据进行了对比分析。结果表明,不同材料模具型面各位置变形值与型面结构特征无关,与型面大小有关;模具材料与复合材料的线胀系数差异越大,复合材料零件变形量越大。     

基于铣抛喷组合工艺的TB6钛合金精铣参数优化

TB6钛合金是航空制造领域承重结构件的重要材料,属于典型难加工材料。开展了TB6钛合金铣抛喷组合工艺试验,研究了不同铣削参数对表面完整性的影响及精铣与喷丸工序间的耦合关系。结果表明,试件表面粗糙度主要受铣削每齿进给量fz影响。fz0.2mm/z时,组合工艺加工后,试件表面粗糙度值Ra较低;fz0.2mm/z时,随精铣fz提高,铣削硬化率下降,喷丸后的表面粗糙度提高;铣喷组合工艺条件下,铣削线速度vs在20~40m/min范围内,硬化率随vs的升高而降低,喷丸区域表面粗糙度升高;vs在40~50m/min范围内,铣削硬化率升高,喷丸区域表面粗糙度降低。切宽ae对试件硬化和表面粗糙度的影响不显著。铣喷组合工艺条件下的精铣参数优化结果为:vs=50m/min,fz=0.2mm/z,ae=1.0mm。铣抛喷组合工艺条件下,可在低于0.4mm/z范围内适当提高铣削每齿进给量fz。     

轻型公务机碳纤维复合材料增压舱共固化成型工艺的试验研究

以轻型高端公务机领世300增压舱共固化成型技术为研究背景,针对增压舱为固化炉整体成型的特点,借助DSC对T700G-12K碳纤维/环氧预浸料的固化温度和固化度进行了研究与分析,优化固化工艺参数.通过无损检测C扫描和力学测试进行验证.试验结果表明:增压舱固化工艺采用凝胶点温度80℃下处理240rin,105℃下保温保压120min以及130℃下保温保压120min为本组试验的最优方案,产品缺陷少.     

全工序法弧齿锥齿轮加工参数计算方法

分析弧齿锥齿轮刀盘的结构特征与切齿运动特点,提出三个参考点的设置方法.以大轮采用展成法,小轮采用螺旋展成法加工的弧齿锥齿轮副为研究对象,提出了全工序法大轮加工参数的简化计算方法.总结螺旋锥齿轮的一般啮合规律,结合参考点设置方法,利用Free-Form型机床的柔性运动控制特征,建立了小轮的切齿控制优化模型,获得一组最优化...     

Fuzzy multi-criteria decision-making approach to prioritization of space debris for removal

As private companies and government space agencies begin to seriously consider the task of active space debris removal, it is becoming increasingly more important to determine the highest priority objects to deorbit. This work sets forth an approach for prioritization of space debris through the utilization of Multi-Criteria Decision-Making methodologies and fuzzy logic, as well as both quantitative and qualitative criteria. The proposed debris prioritization approach considers various criteria including the orbit, size, mass, pairwise and total collision probabilities, and decay timeframe of each debris object. The means of assigning attributes to each assessment criterion is discussed in detail. To determine the weighting scheme for the criteria, a questionnaire was prepared and shared with experts in the field of space situational awareness. The work examines over two thousand critical debris objects selected from the existing debris catalog with respect to these criteria. The quantified attributes for each debris object are then aggregated through the fuzzy versions of the Analytic Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution. The results of the analysis identify high-priority debris objects for removal from Earth-bound orbits.     

非稳定动态过程非定常气动力建模

现有的大迎角非定常气动力建模方法,通常是以一个或多个频率的稳定振动试验数据来预测稳定滞环。然而,飞机快速机动如过失速机动的过程,不可能是持续的稳定振动,而是一个非稳定的动态过程。因此,这个过程中的气动力不会达到稳定滞环,而是始终处于进入滞环的初始非稳定过程中。基于振动理论分析得出,非定常气动力的动态响应过程存在非稳定和稳定两个阶段,传统建模方法着眼于稳定阶段,而飞机的真实机动过程在非稳定阶段。设计了一种适于非线性系统辨识的激励输入,并以最小二乘支持向量机（LS-SVM）方法为例,实现了在大迎角区幅值和频率范围内任意运动的非定常气动力建模。模型训练完成后,用来预测某机翼在不同基准状态下大迎角范围内做俯仰运动时的升力系数、阻力系数和俯仰力矩系数。结果表明,不仅稳定滞环实现了准确预测,进入滞环的初始非稳定过程也得到了准确预测;此外,基准状态对气动力在初始非稳定过程中的特性存在明显影响。进一步的验证还表明,基于稳定滞环数据只能预测到稳定滞环,无法预测进入滞环的非稳定过程。     

基于GPR模型的自适应平方根容积卡尔曼滤波算法

与传统算法一样,动态系统的参数化模型(含噪声统计特性)未知或不够准确易导致容积卡尔曼滤波(CKF)效果严重下降,甚至滤波结果发散.为此,利用高斯过程回归(GPR)方法对训练数据进行学习,得到动态系统的状态转移GPR模型和量测GPR模型以及噪声统计特性,用以替代或增强原有动态系统模型,并将其融入到平方根容积卡尔曼滤波(SRCKF)中,分别提出了无模型高斯过程SRCKF (MFGP-SRCKF)和模型增强高斯过程SRCKF (MEGP-SRCKF)两种算法.仿真结果表明:这两种新的自适应滤波算法提高了动态系统模型精度,且实时自适应调整噪声的协方差,克服了传统算法滤波性能易受系统模型限制的问题;与MFGP-SRCKF相比,在给定一个不够准确的参数化模型,且有限的训练数据未能遍布估计状态空间的情况下,MEGP-SRCKF具备更高的滤波精度.     

Fast approximate maximum likelihood period estimation from incomplete timing data

 To estimate the period of a periodic point process from noisy and incomplete observations, the classical periodogram algorithm is modified. The original periodogram algorithm yields an estimate by performing grid search of the peak of a spectrum, which is equivalent to the periodogram of the periodic point process, thus its performance is found to be sensitive to the chosen grid spacing. This paper derives a novel grid spacing formula, after finding a lower bound of the width of the spectral mainlobe. By employing this formula, the proposed new estimator can determine an appropriate grid spacing adaptively, and is able to yield approximate maximum likelihood estimate (MLE) with a computational complexity of O(n²). Experimental results prove that the proposed estimator can achieve better trade-off between statistical accuracy and complexity, as compared to existing methods. Simulations also show that the derived grid spacing formula is also applicable to other estimators that operate similarly by grid search.