Mechanistic identification of cutting force coefficients in bull-nose milling process

An improved method to determine cutting force coefficients for bull-nose cutters is proposed based on the semi-mechanistic cutting force model. Due to variations of cutting speed along the tool axis in bull-nose milling, they affect coefficients significantly and may bring remarkable discrepancies in the prediction of cutting forces. Firstly, the bull-nose cutter is regarded as a finite number of axial discs piled up along the tool axis, and the rigid cutting force model is exerted. Then through discretization along cutting edges, the cutting force related to each element is recalculated, which equals to differential force value between the current and previous elements. In addition, coefficient identification adopts the cubic polynomial fitting method with the slice elevation as its horizontal axis. By calculating relations of cutting speed and cutting depth, the influences of speed variations on cutting force can be derived. Thereby, several tests are conducted to calibrate the coefficients using the improved method, which are applied to later force predictions. Eventually, experimental evaluations are discussed to verify the effectiveness. Compared to the conventional method, the results are more accurate and show satisfactory consistency with the simulations. For further applications, the method is instructive to predict the cutting forces in bull-nose milling with lead or tilt angles and can be extended to the selection of cutting parameters.     

Research on multi-fidelity aerodynamic optimization methods

 Constructing high approximation accuracy surrogate model with lower computational cost has great engineering significance. In this paper, using co-Kriging method, an efficient multifidelity surrogate model is constructed based on two independent high and low fidelity samples. Co-Kriging method can use a greater quantity of low-fidelity information to enhance the accuracy of a surrogate of the high-fidelity model by modeling the correlation between high and low fidelity model, thus computational cost of building surrogate model can be greatly reduced. A wing-body problem is taken as an example to compare characteristics of co-Kriging multi-fidelity (CKMF) model with traditional Kriging based multi-fidelity (KMF) model. A sampling convergence of the CKMF model and the KMF model is conducted, and an appropriate sampling design is selected through the sampling convergence analysis. The results indicate that CKMF model has higher approximation accuracy with the same high-fidelity samples, and converges at less high-fidelity samples. A wing-body drag reduction optimization design using genetic algorithm is implemented. Satisfying design results are obtained, which validate the feasibility of CKMF model in engineering design.     

Study on ballistic penetration resistance of titanium alloy TC4, Part II: Numerical analysis

Enhancing containment capability and reducing weight are always great concerns in the design of casings. Ballistic tests can help to mitigate a catastrophic event after a blade out, yet taking time and costing money. A wise way is to hunt for a validated numerical simulation technology, through which the material dynamic behavior over the strain rate range in the ballistic tests should be represented and reasonable failure strain should be defined. The simulation results show that the validation of the numerical simulation technology based on the test data can accurately estimate the absorption energy, describe the physical process and failure mode during the penetration, as well as the failure mechanism. It is found that energy dissipation of projectiles is in manner of compression stage, energy conversion stage, and interactive scrap stage. An effect indicator is proposed, where the factors of critical velocity including impact orientation and mass of projectiles and thickness of casings are considered. The critical velocity presents a linear relation with the effect indicator, which implies the critical velocity obtained by the flat casing could underestimate the capability of the real casing.     

某交流换流器自动测试系统设计

提出了交流换流器自动测试系统的解决方案,分别从硬件和软件两方面做了详细分析,并介绍了各主要参数的测试方法。系统的实际应用表明:本设计方案能够实现交流换流器主要被测参数的自动测试,可靠性和准确性能够满足交流换流器各项技术指标的要求。     

影像增强器DR/CT系统像场畸变快速校正

以XRS-152/153影像增强器DR/CT成像系统为研究对象,在分析其输出像场畸变特性的基础上,从校正精度和校正实时性要求出发,采用空间坐标多项式变换方法进行畸变校正.同时,为了解决畸变校正算法计算量大、运算速度慢的问题,利用可编程图形处理单元(GPU, Graphic Processing Unit)并行计算和高速浮点计算特性,将图像映射为GPU中的纹理,采用多线程并行计算,使得校正算法在GPU中加速执行.实验结果表明,本方法能有效实现畸变图像的校正,GPU加速方法可以在不损失图像信息的前提下,实现实时校正.     

HS.748中短程涡轮螺旋桨客机

HS.748是英国霍克·西德利公司阿芙罗工厂生产的双发中短程涡轮螺旋桨客机。原名阿芙罗748,属于DC-3等级的客机。该机适于在地面起降,且操作简单、易于维护。     

航空发动机附件试验研究

针对航空发动机附件外场使用可靠性不高现象,分析附件研制过程中存在的问题和原因。通过对航空发动机通用规范及型号规范中附件试验要求的梳理和分析,重点讨论模拟工作试验、规范没有明确规定的单项试验和新增的可靠性维修性试验要求,提出新研发动机附件试验的一般要求,并结合某型发动机附件结构、功能及发动机型号特点,给出发动机附件研制试验计划。对新研航空发动机附件可靠性工作的开展、鉴定试验项目规划和方案的确定具有指导和借鉴意义。     

航天器规避动态障碍物的自适应人工势函数制导

针对航天器近距离操作中的动态障碍物规避问题,研究了一种燃料较省、精度较高的规避动态障碍物的自适应人工势函数制导方法。首先,对于引入高斯函数形式斥力势会使势函数在收敛点处的值不为零的情况,对斥力势乘以修正项,使得在收敛点的势能为零,消除了平衡点的偏离;在规避静态障碍物的基础上,研究了规避动态障碍物的人工势函数制导。其次,根据速度与引力梯度之间的关系,设计负反馈,使引力势梯度“适应”速度的变化,研究了规避动态障碍物的自适应人工势函数制导。最后,采用精确的数学模型进行数值仿真,验证所设计的制导律的正确性和有效性,并与传统的人工势函数制导对比。仿真结果表明：采用修正势函数提高了收敛精度;自适应人工势函数制导控制脉冲作用施加更加合理,相比人工势函数而言,总速度脉冲消耗可节省30%,精度提高两个数量级。     

石英挠性加速度计测量航天器微振动的方法

利用高精度石英挠性加速度计可以测量航天器低频微振动,同时也可实现航天器在轨微角振动的间接测量。针对航天器特点,结合石英挠性加速度计工作特性,提出用高精度石英挠性加速度计测量航天器微振动的方法,给出微振动加速度、角加速度、角速度和角位移的不确定度分析,根据测量原理给出了各影响因素对测量合成不确定度的计算方法和分析结果。针对卫星敏感载荷的刚体平面测试环境,设计8个加速度计测点布局,开展了整星试验。试验数据分析表明:石英挠性加速度计可准确测量航天器的低频微振动(200 Hz以内),其直接测量和间接测量结果满足测量应用需求,线加速度测量分辨率为5μg,角位移测量分辨率为0.015″。     

眼底图像中硬性渗出自动检测方法的对比

为寻求满足临床需求的硬性渗出自动检测方法,从而构建出基于眼底图像的糖尿病视网膜病变自动筛查系统,在利用O tsu阈值分割结合数学形态学快速提取出视盘的基础上,提出了两种硬性渗出自动检测方法(基于数学形态学的硬性渗出自动检测方法和基于RBF神经网络的硬性渗出自动检测方法),在此基础上不仅提出采用后处理以进一步提高检测精度,还就检测结果进行了比较。与其他硬性渗出自动检测方法相比,这两种方法在保证较高检测精度的基础上,效率也较高;在这两种方法之间,基于数学形态学的方法精度更高,基于RBF神经网络的方法效率更高;结合临床对硬性渗出自动检测快速、可靠性的要求,得出基于RBF神经网络的方法作为糖尿病视网膜病变自动筛查系统中的硬性渗出自动检测方法性能更优。