直线运动滚动导轨副混合润滑研究

综合考虑了直线运动导轨副接触几何、预紧力、真实表面粗糙度、曲率系数等因素,建立了直线运动导轨副混合润滑数值模型,研究了滑块移动速度、曲率半径系数、工作载荷、表面粗糙度对导轨接触副润滑特性的影响,得到结论:导轨副法向工作载荷、最大赫兹接触压力和赫兹接触半径随着外加总载荷的增大而增大,平均膜厚随着载荷的增大而减小;混合润滑模型可预测导轨副在大范围工况条件下完整的润滑状态;直线运动导轨大多工作在混合润滑状态下,随着滑块移动速度的增加,接触界面由边界润滑状态向混合润滑状态转变,润滑性能逐渐提高;适当增加曲率半径系数,有利于润滑油膜的形成与稳定。     

Qualitative analysis of thermal explosion of sodium droplet with variable thermophysical properties and thermal radiations

There are many coolants frequently used in the industry for controlling not only heat transfer, but also temperature distribution in a confined domain. However, little is known on the thermal properties of sodium droplets. The qualitative analysis of differential equations that model the thermal explosion, nonlinear dynamic of sodium droplet with variable thermophysical properties when thermal radiations are considered as suggested by Cogley et al, Sohrab et al, and P‐1 approximation Sazhin et al is deliberated upon in this study. The governing equations, first‐order nonlinear ordinary differential equations, are nondimensionalized using the appropriate similarity variables. The existence and uniqueness of the solutions, concavity, and convexity of the temperature distribution, and positivity nature of the solutions of the dimensionless governing equations are established. It is concluded that there exists a solution for a certain range of the admissible parameters and when the reduced activation energy is negative and temperature distribution fits concavity. More so, the major criteria to obtain a positive solution are outlined in this study.     

降凝降黏剂在原油开采集输中的应用

降凝降黏剂已成为钻高难度的高温深井、大斜度定向井、水平井和各种复杂地层的重要手段,并且还可广泛地用作解卡液、射孔完井液、修井液和取心液等。由于稠油的黏度以及凝点低,防止在开采过程中出现困难,降凝降黏剂的应用需要进行一定的关注,解决其发展困难。     

浊点萃取在锕系和镧系元素分离分析中的应用

浊点萃取（cloud point extraction, CPE）是一种安全环保同时兼具高富集系数和低成本的萃取方法，在分析化学中已经被广泛应用于金属离子分析等领域。锕系和镧系金属元素存在环境复杂，自身浓度相对较低，对其进行分离和分析一直是放射化学研究者所关注的问题。经过条件优化，CPE能够有选择性地分离和富集锕系和镧系金属元素。通过与多种技术联用，CPE能实现锕系和镧系元素的高灵敏度分析。本文在介绍浊点萃取机理的基础上，着重描述了不同萃取体系中各类萃取剂（β-二酮类、膦氧类、含氮类、含硫类）对于锕系和镧系元素的萃取效果，全面总结了其中使用的不同联用技术，同时简述了通过构筑超分子识别位点，修饰配体，使用不同表面活性剂及掩蔽剂等改良现有浊点萃取体系的尝试。最后，对浊点萃取在放射化学领域的应用进行了总结和展望。     

考虑关节角加速度约束的仿人机器人偏摆力矩控制方法

针对仿人机器人步行过程中存在的机器人关节角加速度约束影响控制性能的问题，提出一种考虑关节角加速度约束的仿人机器人偏摆力矩控制方法.该方法充分考虑了双臂在摆动过程中对偏摆力矩的影响，根据力矩平衡条件得到需要抵消的偏摆力矩的大小与方向，将偏摆力矩的控制问题转化为带约束条件的二次规划问题，并设计了一种在线变步长迭代算法计算得到优化后的双臂摆动轨迹.实验表明，该方法能有效抵消机器人步行中产生的偏摆力矩，避免控制过程中的"削峰"现象，有效提高机器人的步行稳定性.     

Uncertainty analysis of parameters in non‐point source pollution simulation: case study of the application of the Soil and Water Assessment Tool model to Yitong River watershed in northeast China

Uncertainty analysis of the model parameters in non‐point source pollution (NPSP) simulation is important because of its great effects on predictions and decision‐making. Understanding the main parameters that effect the uncertainty of NPSP is necessary to provide the basis for formulating control measures. In this study, two methods were applied to conduct parameter uncertainty analysis for Soil and Water Assessment Tool (SWAT). Sobol’ method was used to screen out the model parameters with great effects on the runoff, sediment, total nitrogen (TN) and total phosphorus (TP). The results obtained by sensitivity analysis were used subsequent model calibration and further uncertainty analysis. Monte Carlo (MC) method was employed to analyse the effects of parameter uncertainty on the model outputs. However, such problems are time‐consuming because the MC method required to invoke simulation model thousands of times. To address this challenge, a kriging surrogate model was developed to improve the overall calculation efficiency. The results obtained by sensitivity analysis showed that curve number value (CN2), soil evaporation compensation factor (ESCO), universal soil loss equation support practice factor (USLE_P) and initial organic nitrogen concentration in soil layer (SOL_ORGN) had significant effects on the SWAT outputs. The uncertainty analysis results showed that the uncertainty of runoff is the lowest, followed by TP and TN, and the uncertainty of sediment was the greatest. The kriging surrogate model has the ability to solve this time‐consuming problem rapidly with a high degree of accuracy, and thus it is very robust.     

Estimating underground mine ventilation friction factors from low density 3D data acquired by a moving LiDAR

Ventilation system analysis for underground mines has remained mostly unchanged since the Atkinson method was made popular by Mc Elroy in 1935. Data available to ventilation technicians and engineers is typically limited to the quantity of air moving through any given heading. Because computer-aided modelling, simulation, and ventilation system design tools have improved, it is now important to ensure that developed models have the most accurate information possible. This paper presents a new technique for estimating underground drift friction factors that works by processing 3 D point cloud data obtained by using a mobile Li DAR. Presented are field results that compare the proposed approach with previously published algorithms, as well as with manually acquired measurements.