磨料有序排布电镀砂轮的制备及其把持力研究

为解决电镀砂轮磨削加工中容屑空间不足的问题，采用点胶微粘接的方法制备了磨料有序排布的电镀砂轮，分析了磨料粘接效果和镀层力学性能。通过SEM分析了磨料/镀层/导电胶的结合界面，并进行了干磨削试验。研究结果表明，直径约为磨料粒径40%的胶点可粘接住磨料，单个胶点上粘接多颗磨料的占比小于6%；双脉冲电镀工艺制备的镀层显微硬度大于500HV，表层残余应力小于100MPa，磨料/镀层/导电胶之间的界面贴合紧密，无明显缺陷；砂轮在磨削时没有出现磨料脱落现象。     

优化GD-模糊规则的滑坡预报模型研究

为了提高滑坡灾害预报准确率，改善传统的滑坡监测和预报中存在的参数选取困难及模糊控制系统作为预报模型精确度不高的问题，首先采用山体结构稳定性分析法进行滑坡灾害参数的选取，得出降雨量、含水率、土压力及岩土表面位移增量作为预报参数的结论；其次将选取的参数作为模糊系统的输入，建立滑坡灾害发生概率模型，并引入优化的GD算法修正预报模型中的动态参数，使模糊控制模型具有自适应性；同时与未优化的模糊控制模型以及单独模糊控制模型进行仿真对比，仿真结果表明，该控制算法收敛速度快，具有很好的收敛性；最后将该模型在某滑坡重点灾区实验区进行实验测试，实验结果显示该模型具有较好的收敛性，且预报精度达到90%。     

负径向电场对带电粒子俘获率影响的数值模拟

本文采用数值方法求解Grad-Shafranov方程反演EAST典型长脉冲放电实验(炮号33068)的平衡位形和磁场分布，进而结合粒子在托卡马克电磁场中的运动方程，模拟氘离子在负径向电场存在时的运动轨迹，并统计不同负径向电场下的氘离子俘获率。结果表明：随负径向电场的增大，氘离子轨迹由扩张通行轨迹向外翻香蕉轨迹再向内翻香蕉轨迹，最后向压缩通行轨迹演变；氘离子俘获率随负径向电场的增大而减小，氘离子初始速度越小，其变化越大。     

单自由度八杆仿生机构构型与尺度同步设计方法

单自由度八杆仿生机构杆长参数较多，是仿生机器人领域研究的难点之一。为提高设计效率，提出一种构型与尺度同步设计方法。在选定的运动链和机架的基础上，以不等式形式分步给出运动可行性及外形约束条件，使得上一步的杆长可作为下一步求解的已知值。通过该过程，在得到八杆仿生机构构型的同时，快速得到所有杆长的初步可行域。循环上述过程，逐步缩小约束条件的范围，可使得八杆机构的杆长快速接近目标值。在此基础上，分类讨论了连杆搭接顺序、约束条件及基本运动链的差异对求解难度及构型结果的影响。利用所提出的单自由度八杆仿生机构的设计方法，在对初始条件进行合理选取的前提下，可在初步得到构型的同时将杆长限定在较小范围内，实现了构型与尺度的同步设计。该方法还可应用于其他单自由度机构的设计当中，具有较好的借鉴意义。     

Reducing idle time in event-triggered software execution via runnable migration and DPM-Aware scheduling

Being the main driver of innovation in the automotive industry, vehicle software calls for more efficient tools for its development. Safety-critical applications are predominantly written respecting the AUTOSAR standard, where tasks comprise code-fragments called runnables, and deployed on multi-core architectures. However, task parallelization introduces a substantial number of idle intervals, as runnables have to be mapped and scheduled at design-time without violating data dependencies. In parallelized event-triggered tasks, these intervals are utilized by migrating runnables from the interrupted time-triggered tasks. We propose to also migrate runnables from consecutively scheduled tasks and additionally, to maximize their number using DPM-aware application scheduling.     

机床结构轻量化设计研究进展

对机床进行优化的结构构型设计,使得材料在机床结构空间内更加合理地分布和有效地利用,一直都是机床设计工作者追求探索的目标。论述机床构型和结构件轻量化设计的研究历程和技术发展,对机床结构轻量化设计中常用的现代设计方法:参数优化、结构拓扑优化、多方法综合结构设计、仿生优化设计方法进行具体技术介绍和综合评述,并对近年兴起的仿生优化设计方法进行从方法、实现手段和轻量化效果等方面重点分析和评述,对机床构型和结构件轻量化设计研究的未来发展提出展望。     

Dynamic Performance of a Complex Distillation System to Separate a Five‐Component Hydrocarbon Mixture

Distillation is one of the most used separation processes in chemical industry, although it is a highly energy‐intensive operation. For multicomponent distillation, complex structures have been proposed in previous works, which may allow energy savings. Nevertheless, it is mandatory to understand the dynamic characteristics of such complex structures. In this work, the dynamic performance of a dividing‐wall‐based structure for the separation of a five‐component mixture is studied. A sensitivity analysis is performed on the structure in terms of the interlinking streams, performing a singular value decomposition analysis to selected cases with different operational conditions. The designs with the lowest energy duties also showed the best open‐loop properties.     

Prediction of process parameters of water-assisted injection molding based on inverse radial basis function neural network

Because of the introduction of new processing parameters in water-assisted injection molding (WAIM), processes control has become more difficult. First, design of experiment (DOE) was carried out by using optimized Latin hypercubes (Opt LHS). On the basis of this, computational fluid dynamics (CFD) method was used to simulate and calculate hollowed core ratios and wall thickness differences of cooling water pipe at different positions. Then inverse radial basis function (RBF) neural network model reflecting the fitting relationship between processing parameters and molding quality was established, and accuracy of the model was detected by cross validation. Finally, expected molding quality was applied to predict processing parameters, and the obtained molding quality under the predicted processing parameters was verified by computer aided engineering (CAE) simulation and experimental methods. The results showed that mean relative precisions of processing parameters such as melt temperature, delay time, short shot size, water pressure, and mold temperature for inverse RBF model were 98.6%, 93.6%, 98.5%, 93.9%, and 97.9%, respectively, which met the accuracy requirements. Furthermore, compared with expected values of hollowed core ratios and wall thickness differences, the average errors of CAE and experiment were 2.3% and 4.9%, respectively.     

基于MCGS的洗油空穴反应实验装置计算机控制系统设计

介绍了基于MCGS的洗油空穴反应实验装置远程计算机自动控制系统的硬件、软件设计及其实现过程,为后续进一步的研究工作提供理论和实践基础。