滁州市农贸市场超长预应力楼盖的设计分析

滁州市农贸市场超长预应力楼盖温度应力有限元分析及设计原则。     

A sensorless brushless dc motor system

This paper describes a brushless dc motor system without position or speed sensor. The brushless motor consists of a permanent magnet synchronous motor and a voltage-source inverter capable of controlling the amplitude and frequency of voltage. The rectangular-shaped stator current with a conducting interval of 120° (electrical) is controlled to be in phase with the trapezoidal back electromotive force. This results in producing maximum torque. Variable speed is achieved by adjusting the average motor voltage similarly to chopper control of dc motors. In this paper, two sensorless position detecting methods, i.e., an “indirect method” suited for the lower-speed range and a “direct method” suited for the higher-speed range are proposed. The combination of the two makes it possible to detect the rotor position over a wide-speed range. Furthermore, a speed-sen-sorless PLL control is proposed in applying the principle of the direct method. Experimental results obtained from a prototype brushless dc motor are shown to confirm the validity of the sensorless drive. The starting procedure of the motor also is discussed because it is impossible to detect the rotor position at a standstill.     

石油钻机提升系统穿绳方法研究

目前国内外钻机大绳一般采用顺穿法或花穿法。分析了2种穿绳方法的受力特点,大绳顺穿时游车的受力不平衡,会发生倾斜和摆动;采用大绳花穿方法,避免了游车的倾斜和摆动,但造成大绳入轮槽的倾角大,大绳易脱槽。顺穿法一般在电动钻机上采用,主要考虑到电控操作提升系统比较平稳;花穿法一般在机械钻机上使用,以受力平衡来缓解气控操作带来的冲击载荷的影响。为了克服这2种穿绳方法的不足,提出了两行双联滑轮组顺穿法和双联滑轮组顺穿法,可以提高安全性,减少磨损。     

高层建筑结构设计特点与剪力墙设计

围绕高层建筑结构，总结了高层建筑结构设计的特点，提出了剪力墙设计的几个问题，以及高层建筑结构分析和各种体系相对应的方法。     

单桩腿有限元分析

为保证桩腿在冬季冰区海域的安全使用,对桩腿结构进行冰载荷作用下的强度分析。应用ANSYS软件建立桩腿、地基、冰相互作用的仿真计算模型,实现桩腿的力学分析。对桩腿进行了强度校核,计算出冰载荷作用下桩腿的变形及其应力状态。计算结果表明,桩腿在此冰载荷作用下强度满足安全要求。     

原位TiCp/Fe复合材料的切削力及切屑形状

从退火态原位TiCp／Fe复合材料的切削力和切屑形状方面分析了其切削性能。研究结果表明其切削力及切削力的波动范围都小于铸态45钢，其切削性能比45钢好。TiCp／Fe复合材料的切屑为C形屑、长紧卷屑和发条状卷屑，在机加工中，产生这几种切屑是比较理想的。从切屑方面看，TiCp／Fe复合材料的切削性能较好。     

Improvement of levitation characteristics in a magnetic bearing system using HTSC‐permanent magnet hybrid structure

Magnetic bearing using pinning force of a permanent magnet and a high‐temperature superconductor has been developed. Additional permanent magnet is introduced to increase the levitation force of the magnetic bearing. In this hybrid magnetic bearing system, levitation force is mainly given by the repulsive force of the permanent magnets, and stability for the lateral direction is given by pinning force of the superconductor. The experimental device is developed. A ring‐type superconductor and a bulk one are examined. Levitation characteristics of the hybrid magnetic bearing are measured. The bulk superconductor shows better characteristics of both levitation and lateral stability than the ring one. Levitation force of the hybrid system becomes about twice as large as that of the nonhybrid one. Although, the repulsive force of the permanent magnet decreases the lateral stability of the system, its influence becomes small by choosing an adequate position of the permanent magnets and the superconductor. © 2004 Wiley Periodicals, Inc. Electr Eng Jpn, 150(1): 71–77, 2005; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.10350     

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可燃气体在运输、储存、加工和使用过程中，因可燃气体泄漏而形成的气云爆炸事故，常常会造成巨大的人员伤亡和财产损失。研究气云爆炸的特性和威力，可防范事故，减小损失。中采用有限差分方法编制了求解可燃气云爆炸过程的定解方程的数值模拟程序。方程组中的源项由能量均匀加入法处理，爆炸场中的间断问题通过人工黏性模型处理。经开敞空间乙炔——空气气云爆炸实验结果检验，数值计算结果的偏差在13％以内。计算结果表明，气云半径越大，爆炸最大压力和压力增加速率越大；气云爆热越大，爆炸最大压力和压力增加速率越大。     

屏蔽电泵运行中存在问题的分析与改进

对屏蔽电泵在非设计流量下工作存在较大的轴向力不平衡，造成前端轴承磨损严重进行了分析。在不降低效率的情况下，在屏蔽电泵的泵头加入平衡盘使轴向力得到平衡，并取得了满意的效果。     

Use of a neural network to link AFM etch patterns to plasma parameters

Plasmas play a critical role in depositing thin films or etching fine patterns while manufacturing integrated circuits. A new model for plasma diagnosis is presented. This was accomplished by linking atomic force microscopy (AFM) to plasma parameters using a neural network. Experimental AFM data were collected during the etching of silicon oxynitride films in C₂F₆ inductively coupled plasma. Surface roughness of etched patterns was characterized by means of discrete wavelet transformation. This led to the construction of three vertical (type I), diagonal (type II), and horizontal (type III) wavelet coefficient-based models. The performance of diagnosis models was evaluated in terms of the prediction and recognition accuracies. Both accuracies were optimized as a function of the number of hidden neurons. Comparisons revealed that the type I model yielded the largest recognition and the smallest prediction error. This was demonstrated even under stricter monitoring conditions. More improved diagnosis is expected by enhancing AFM resolution.