冗余度机器人力控制的运动学稳定性分析

把非冗余度机器人位置／力混合控制方案引入到冗余度机器人，用线性化的动力学模型对其运动学稳定性进行分析，提出一种改进的基于运动学稳定的冗余度机器人混合控制策略。仿真研究结果证明了所提出方法的有效性。     

Grinding temperature and energy ratio coefficient in MQL grinding of high-temperature nickel-base alloy by using different vegetable oils as base oil

Vegetable oil can be used as a base oil in minimal quantity of lubrication(MQL). This study compared the performances of MQL grinding by using castor oil, soybean oil, rapeseed oil, corn oil, sunflower oil, peanut oil, and palm oil as base oils. A K-P36 numerical-control precision surface grinder was used to perform plain grinding on a workpiece material with a high-temperature nickel base alloy. A YDM–III 99 three-dimensional dynamometer was used to measure grinding force,and a clip-type thermocouple was used to determine grinding temperature. The grinding force, grinding temperature, and energy ratio coefficient of MQL grinding were compared among the seven vegetable oil types. Results revealed that(1) castor oil-based MQL grinding yields the lowest grinding force but exhibits the highest grinding temperature and energy ratio coefficient;(2) palm oil-based MQL grinding generates the second lowest grinding force but shows the lowest grinding temperature and energy ratio coefficient;(3) MQL grinding based on the five other vegetable oils produces similar grinding forces, grinding temperatures, and energy ratio coefficients, with values ranging between those of castor oil and palm oil;(4) viscosity significantly influences grinding force and grinding temperature to a greater extent than fatty acid varieties and contents in vegetable oils;(5) although more viscous vegetable oil exhibits greater lubrication and significantly lower grinding force than less viscous vegetable oil, high viscosity reduces the heat exchange capability of vegetable oil and thus yields a high grinding temperature;(6) saturated fatty acid is a more efficient lubricant than unsaturated fatty acid; and(7) a short carbon chain transfers heat more effectively than a long carbon chain. Palm oil is the optimum base oil of MQL grinding, and this base oil yields 26.98 N tangential grinding force,87.10 N normal grinding force, 119.6 °C grinding temperature, and 42.7% energy ratio coefficient.     

蜂窝式轴心通风器油气分离性能计算

为对航空发动机蜂窝式轴心通风器油气分离效率进行研究,建立考虑油气双向耦合的流场计算方法及油滴/壁面相互作用模型,在验证通风阻力及油气分离效率可靠性的基础上,对不同转速、通风流量和环境温度下蜂窝式轴心通风器的油气分离效果进行计算和分析.结果表明:转速的增加会使油气分离效率得到提升,而通风流量和环境温度的增加则导致油气分离效率的降低.蜂窝孔结构的加入对通风阻力影响不大,却对通风器的滑油分离过程起主要作用,计算表明其对滑油分离贡献率在80%以上.      

基于响应曲面法的高速内冷铣削AISI304不锈钢铣削力

针对硬质合金刀具高速内冷铣削AISI304不锈钢时,切削力大、切削温度高及加工表面质量低的问题。基于响应曲面中心复合设计方法进行高速内冷铣削实验,建立了铣削力分量二阶回归预测模型,并进行了实验验证。对比了干式与内冷铣削后的加工表面质量,分析了铣削参数对铣削力分量的影响规律,以铣削力分量最小为目标优化了铣削参数。结果表明:进给力和径向力的预测值与实验值的误差分别为4. 77%和6. 16%;内冷铣削的Ra为0. 193～0. 327μm;对铣削力分量的影响是铣削深度转速进给量,随着铣削深度和转速的增加,进给力先升高后降低,径向力逐步增加,铣削深度与转速的交互作用对进给力和径向力的影响显著;转速11 643. 63 r/min、铣削深度1 mm、进给量0. 08 mm/r为最优铣削参数组合。     

用于光波纳米推力器的颗粒供应技术和光聚积技术研究

为提高光波纳米推力器在轨应用的可行性,针对与其匹配的颗粒供应技术和光聚积技术进行研究。提出整个推进系统的设计思路,通过建立理论计算和数值计算模型,分析颗粒供应技术和光聚积技术的各项核心结构参数的设计方法。计算结果表明:颗粒供应装置的正负电极内径之比(W/D)会影响正负电荷产生的总量之比,在W/D=300/322附近时,正负电荷比例接近1:1。静电诱导电压为9 V,当中和通道长度大于37.5mm时,正负颗粒可以视为完全中和。光聚积设计思路可令聚积球对光能的利用率在32.8%左右。两种相关技术的装置与推力器在结构上能够对接、在性能上可以匹配,从理论上表明了两种支撑技术的可行性。     

Multi-Sphere Method for modeling spacecraft electrostatic forces and torques

The use of electrostatic (Coulomb) actuation for formation flying is attractive because non-renewable fuel reserves are not depleted and plume impingement issues are avoided. Prior analytical electrostatic force models used for Coulomb formations assume spherical spacecraft shapes, which include mutual capacitance and induced effects. However, this framework does not capture any orientation-dependent forces or torques on generic spacecraft geometries encountered during very close operations and docking scenarios. The Multi-Sphere Method (MSM) uses a collection of finite spheres to represent a complex shape and analytically approximate the Coulomb interaction with other charged bodies. Finite element analysis software is used as a truth model to determine the optimal sphere locations and radii. The model is robust to varying system parameters such as prescribed voltages and external shape size. Using the MSM, faster-than-realtime electrostatic simulation of six degree of freedom relative spacecraft motion is feasible, which is crucial for the development of robust relative position and orientation control algorithms in local space situational awareness applications. To demonstrate this ability, the rotation of a cylindrical craft in deep space is simulated, while charge control from a neighboring spacecraft is used to de-spin the object. Using a 1 m diameter craft separated by 10 m from a 3 by 1 m cylindrical craft in deep space, a 2 °/s initial rotation rate can be removed from the cylinder within 3 days, using electric potentials up to 30 kV.     

数字化组合式大力值校准系统的研制

为了满足对大力值(20 MN左右)的测量和校准,开发了一套数字化组合式大力值校准装置。其最大量程可达24 MN,系统测量准确度为0.1%,适合于大型材料试验机的校准和检定。本文详细介绍了装置的组成结构、弹性体设计、贴片和组桥方式、数字化的方法以及与计算机的通信实现。     

磁悬浮框架飞轮磁轴承技术研究与发展现状

对磁悬浮框架飞轮(MSGFW)和高精度磁轴承研究现状及其未来发展进行了详细阐述。根据转子悬浮力类型，将磁悬浮框架飞轮分为磁阻力构型、洛伦兹力构型和混合力构型，并结合三种构型论述了国内外框架飞轮的发展过程。在此基础上，对球面磁阻力磁轴承和洛伦兹力磁轴承进行了详细介绍，并结合磁路图分析其工作原理，比较了同类磁轴承的优劣。展望了磁悬浮框架飞轮与高精度磁轴承的未来发展方向，指出高动态响应检控共位平动球面磁阻力磁轴承，标准磁悬浮动量球和磁悬浮控制敏感球是磁悬浮框架飞轮的研究重点。     

一种星-箭连接动态界面力的深度学习反演方法

针对于星-箭连接动态界面力无法通过力传感器直接测量,且典型时域动载反演方法难以准确计算界面力的时域变化等难点,提出了基于长短时记忆(LSTM)神经网络的星-箭界面力深度学习反演方法。首先通过卫星地面测试试验得到数据依据,以卫星主体结构的加速度测量数据为输入层,以星-箭界面力测量数据为输出层,利用LSTM神经网络建立输入和输出间的反演映射关系模型,实现卫星在发射过程中较高精度的界面力反演。进而,设计并开展了某典型卫星结构的正弦扫频和随机振动实验,测试LSTM界面力反演方法的可行性。结果分析可知,所提出的基于LSTM深度学习反演方法能够精确地获得动态界面力时程数据,两项性能指标均优于目前典型的载荷反演方法。