螺旋齿轮塑件注塑模设计

分析了斜齿轮塑件的工艺特性,给出了实用的注塑模结构,介绍了斜齿轮注塑模各系统的结构设计,论述了模具的工作原理。该模具利用定模推出机构和推管旋转脱模机构解决了螺旋齿轮脱模难的问题。模具结构紧凑,推出可靠,安装维修操作方便,成型塑件质量好,生产效率高。     

氢氧化镁和氧化镁中酸不溶物的研究

产硝后的高镁卤水和硫氢化钡溶液进行反应，生成氢氧化镁，酸不溶物在0．3％（质量分数）左右，但将其煅烧成氧化镁后，酸不溶物高达1．2％-2．5％（质量分数），二者酸不溶物远不成比例关系。通过对样品在分析中穿滤对比、硫酸法测定酸不溶物、碘量法测定硫化物试验，确定在生产过程中，硫氢化钡被氢氧化镁吸附，经过高温煅烧，硫氢化钡被氧化成硫酸钡，成为氧化镁中的酸不溶物，这就是氧化镁和氢氧化镁中酸不溶物不成比例的主要原因。     

新型液晶PVDF合金的研究

本文系统地研究了液晶聚合物(LCP)与PVDF合金共混体系的组成及加工工艺条件对共混物制件性能的影响。并用SEM观察了合金的形态结构。结果表明:在液晶含量10%左右时,加工温度为210℃,合金的拉伸强度最高,磨耗量最低,体系分散均匀并形成了较多的微纤结构。     

我国化肥催化剂工业现状

全国48家化肥催化剂制造厂总能力为57Kt/a,产量近30kt/a,设备利用率不到50%。平均万吨氨耗催化剂10.36t,高于国外5.60t水平。现生产31个品种203个型号的催化剂中有103种经部级鉴定,但经常使用的约50种。目前化肥催化剂工业水平与国外相比还存在四方面差距。     

抗菌薄膜的最新研究进展

介绍了抗菌薄膜的抗菌机理。综述了抗菌薄膜的种类和最新研究进展。提出了抗菌薄膜研究的发展趋势,即无机抗菌薄膜以纳米复合型抗菌薄膜为主要的发展趋势;天然抗菌薄膜以壳聚糖抗菌薄膜为主要的发展方向;高分子抗菌薄膜以含吡啶基团的聚合物抗菌薄膜为拓展方向;光催化型无机抗菌薄膜以纳米TiO2复合抗菌薄膜为主要的拓展趋势。     

空压机冷却系统除垢

我公司矿山现有5L-40/8空压机2台、4L-20/8空压机6台,空压机冷却系统都是循环水,冷却水池的水由清水泵经进水管首先打入中间冷却器和后冷却器,然后再进入Ⅰ级压缩缸和Ⅱ级压缩缸;再经漏斗、回水管流回凉水池.L型空压机中间冷却器安装在Ⅰ、Ⅱ级压缩缸之间,用以冷却Ⅰ级压缩缸排出的高温气体,后冷却器安装在空压机尾部,用以冷却Ⅱ级压缩缸排出的高温气体.     

多孔陶瓷分离膜

多孔陶瓷膜由于其优良的耐高温、耐腐蚀、耐微生物侵蚀等性质，近年来被快速地应用于分离领域。本文介绍其制备方法、性能测定及应用前景。     

苯酚催化氧化制备对苯二酚的研究

介绍了以苯酚为原料，采用催化氧化法合成对苯二酚的方法，讨论了各种因素对反应的影响，并得到了反应的优惠条件。本反应条件温和，三废少，对苯醌收率可达８０．４％。     

Proactive scheduling in distributed computing—A reinforcement learning approach

In distributed computing such as grid computing, online users submit their tasks anytime and anywhere to dynamic resources. Task arrival and execution processes are stochastic. How to adapt to the consequent uncertainties, as well as scheduling overhead and response time, are the main concern in dynamic scheduling. Based on the decision theory, scheduling is formulated as a Markov decision process (MDP). To address this problem, an approach from machine learning is used to learn task arrival and execution patterns online. The proposed algorithm can automatically acquire such knowledge without any aforehand modeling, and proactively allocate tasks on account of the forthcoming tasks and their execution dynamics. Under comparison with four classic algorithms such as Min–Min, Min–Max, Suffrage, and ECT, the proposed algorithm has much less scheduling overhead. The experiments over both synthetic and practical environments reveal that the proposed algorithm outperforms other algorithms in terms of the average response time. The smaller variance of average response time further validates the robustness of our algorithm.     

A Parallel Domain Decomposition Method for 3D Unsteady Incompressible Flows at High Reynolds Number

Numerical simulation of three-dimensional incompressible flows at high Reynolds number using the unsteady Navier–Stokes equations is challenging. In order to obtain accurate simulations, very fine meshes are necessary, and such simulations are increasingly important for modern engineering practices, such as understanding the flow behavior around high speed trains, which is the target application of this research. To avoid the time step size constraint imposed by the CFL number and the fine spacial mesh size, we investigate some fully implicit methods, and focus on how to solve the large nonlinear system of equations at each time step on large scale parallel computers. In most of the existing implicit Navier–Stokes solvers, segregated velocity and pressure treatment is employed. In this paper, we focus on the Newton–Krylov–Schwarz method for solving the monolithic nonlinear system arising from the fully coupled finite element discretization of the Navier–Stokes equations on unstructured meshes. In the subdomain, LU or point-block ILU is used as the local solver. We test the algorithm for some three-dimensional complex unsteady flows, including flows passing a high speed train, on a supercomputer with thousands of processors. Numerical experiments show that the algorithm has superlinear scalability with over three thousand processors for problems with tens of millions of unknowns.