导弹大迎角下非线性诱导滚转力矩数值研究简

 采用计算流体力学（CFD）数值模拟方法,研究战术导弹大迎角状态下涡破裂导致滚转力矩随迎角非线性增长引起舵面控制能力不足的现象。首先通过标准模型的数值分析,验证了所采用的CFD方法具有三角翼前缘涡破裂现象的捕捉能力;然后采用雷诺平均Navier-Stokes方程对某“++”字正常布局导弹构型（含弹翼、弹身、尾舵和整流罩等）进行了数值模拟,结果显示亚声速状态下滚转力矩在迎角大于20°时出现非线性增长,导致全动尾舵的滚转控制能力不足。通过分解各部件对滚转力矩的贡献,并分析流场结构,探明了该现象发生的流动机理,其主要原因是：随着迎角的增长,弹体迎风面的尾舵前缘涡首先发生破裂,导致其平衡诱导滚转力矩的作用被削弱。     

基于推阻平衡的喷管型面截短方法研究及试验验证

出于减小喷管壁面摩擦损失的考虑以及发动机的整体布局的受制,传统推力喷管设计方法得到的理想喷管通常需要进行适当截短。合理的截短方法有助于保持喷管性能,因此,通过壁面单元受力分析并考虑单元体内的推力与阻力关系,提出了一种推阻平衡的喷管截短设计方法。使用上述方法对一个三次曲线型面的三维原始完全膨胀喷管进行截短,使喷管长度减小25%,重量减小34%。通过风洞试验与数值模拟结果对比发现,截短后的喷管推力系数提高1.5%,升力也得到有效提高,验证了此种截短方法的正确性。截短后喷管处于欠膨胀状态,与理论分析得到的最大静推力状态结果相符。     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.     

自由落体下落速度振荡现象的研究

为了研究自由下落物体的速度震荡现象,基于相对运动原理,应用立式风洞研究了5种典型形状的物体在上升气流中的悬浮特性。模型包括球形、正方体、长方体、短圆柱体和碟形等刚体。风速的平均值由皮托管风速计测得,同时通过CCD相机记录了物体达到悬浮状态前后的运动状态并进行了定量分析。实验结果表明：对称性较好的物体具有较稳定的悬浮特性;而非对称性物体,由于不同姿态角下的阻力系数和扭矩系数不同,很难维持一个稳定的悬浮状态,将伴随姿态的变化不断发生振荡运动。从而说明,空间形体对称的物体自由下落过程中可以达到较稳定的最大下落速度,而形体非对称的物体则难以达到确定的最大速度。除实验研究之外,还采用动态网格数值模拟手段计算了二维方形模型下落过程中的姿态角及运动轨迹,同时得到模型不同姿态角下的阻力和扭矩,计算结果也进一步解释了物体下落速度会发生振荡的原因。     

用热流探针测量激波速度

激波速度测量是激波管和激波风洞运行状态的一个重要参数,压电传感器或光学方法测速系统成本高,而传统电离探针在激波马赫数较低、波后温度达不到空气电离程度的情况下无法满足实验要求。提出了一种使用同轴热电偶作为测速探针来测激波速度的方法,弥补了电离探针在激波马赫数较低时的不足。介绍了同轴热电偶探针测速原理,并设计了测量激波速度的系统电路。通过信号放大电路锁定激波冲激信号,触发脉冲信号发生电路,实现了一种单通道、多测点的激波风洞测速系统。分别开展以温度与热流为触发信号的风洞实验,结果表明只有使用热流信号才能满足激波测速的时间要求。     

微纳米尺度流动实验研究的问题与进展

微纳米实验流体力学研究的流动特征尺度在1mm～1nm范围,处于宏观流动到分子运动的过渡区。连续介质力学与量子力学这两个经典理论的衔接,提出了诸如连续性假设适用性、边界滑移等基本理论问题。同时从微纳米尺度研究界面处液/固/气的耦合,化学、电学性质对流动的影响值得关注。微纳米实验测量仪器融入了力、电等测量手段,要求测量空间精度达到nm量级,力的测量精度达到pN,时间分辨率达到ns。本文围绕连续性假设适用性、边界滑移、微纳米粒子布朗运动及微尺度涡旋测量等问题,介绍了 Micro/Nano PIV、示踪粒子流场显示等技术应用于微纳流场观测的进展与难点。目前微纳米流动测量仍然沿着经典流体力学测量“小型化”的思路开展,而纳尺度的测量期待着新的实验方法与技术的提出。     

Design and experimental study of a micro-groove grinding wheel with spray cooling effect

The effectiveness of grinding fluid supply has a crucial impact on grinding quality and efficiency in high speed grinding. In order to improve the cooling and lubrication, through in-depth research of self-inhaling internal cooling method and intermittent grinding mechanism, a new spray cooling method used in high speed grinding is proposed. By referring to the structure of bowl- shaped dispersion disk, the grinding wheel matrix with atomization ability is designed; through studying heat transfer of droplet collision and the influence of micro-groove on the boiling heat transfer, grinding segment with micro-groove is designed to enhance the heat flux of coolant and achieve maximum heat transfer between droplets and grinding contact zone. High-speed grinding experiments on GH4169 with the developed grinding wheel are carried out. The results show that with the micro-groove grinding wheel just 5.4% of pump outlet flow rate and 0.5% of spindle energy is needed to reduce the grinding temperature to 200℃, which means the developed grinding wheel makes cooling high efficient and low energy consuming.     

Application in prestiction friction compensation for angular velocity loop of inertially stabilized platforms

To overcome the influence of the nonlinear friction on the gimbaled servo-system of an inertial stabilized platforms(ISPs) with DC motor direct-drive, the methods of modeling and compensation of the nonlinear friction are proposed. Firstly, the inapplicability of LuGre model when trying to interpret the backward angular displacement in the prestiction regime is observed experimentally and the reason is deduced theoretically. Then, based on the dynamic model of direct-drive ISPs, a modified LuGre model is proposed to describe the characteristic of the friction in the prestiction regime. Furthermore, the state switch condition of the three friction regimes including presliding, gross sliding and prestiction is presented. Finally, a composite compensation controller including a nonlinear friction observer and a feedforward compensator based on the novel LuGre model is designed to restrain the nonlinear friction and to improve the control precision. Experimental results indicate that compared with those of the conventional proportion–integration–differentiation(PID) control method and the PID plus LuGre model-based friction compensation method, the dwell-time has decreased from 0.2 s to almost 0 s, the position error decreased to 86.7%and the peak-to-peak value of position error decreased to 80% after the novel compensation controller is added. It concludes that the composite compensation controller can greatly improve the control precision of the dynamic sealed ISPs.     

柔性热膜剪应力传感器水下测量温度修正

柔性热膜微传感器应用于流体壁面剪应力测量时,流体温度对传感器输出有很大影响,因此有必要对工作在非标定温度下的传感器输出信号进行修正补偿。重点研究了水下测量时传感器输出与水温的关系以及温度修正方法。通过分析传感器过热比和流体物理性质与温度的相关性,建立了流体温度与传感器过热比和标定系数的函数关系。在此基础上,提出了一种用于水下剪应力测量的温度修正方法,可以有效减小水温对传感器输出的影响。经实验验证,该方法可以使工作在25℃、28℃水温环境下的传感器输出值与其20℃标定值的相对误差从23．7％和37．1％回落到0．82％和0．83％。