具有厚大断面的大型球墨铸铁铸件的生产

首先通过电炉—LF精炼炉—VD精炼炉—包内球化的工艺路线获得了足够的优质铁液,然后通过选取合适的分型面、设置合理的浇注系统、设计专用的冷铁、安放足够大的保温冒口和上表面加大加工余量来去除夹渣等措施,成功生产了具有厚大断面的大型球墨铸铁铸件。     

分偏移距动校正方法的改进

在地震资料处理中，速度分析和动校正对资料品质的影响很大。由于动校正速度是随偏移距变化而变化的，而常规速度分析并没有考虑这一因素，动校正效果往往不是很理想，从而影响资料的叠加和成像效果。分偏移距动校方法是在不同偏移距上采用不同的速度进行动校正。但由于是在不同偏移距组上分别独立进行速度分析和动校正，因此不能将不同偏移距组的同一反射同相轴校正到同一to层位上。这样就需要进行繁琐的后续处理，而且还会降低同相轴的连续性和平滑性。为此，对该方法进行了一些改进，即固定to在不同的分偏移距段进行速度扫描，段与段之间的衔接问题采用平滑处理解决。理论模型分析表明，采取上述改进措施后，动校正效果得到了一定提高，改善了同相轴的连续性和平滑性。     

董公馆：嫁接之美

董公馆是一个6层楼的公寓，依山而建，业主将他交到设计师手里，让他在这基础上活活变出一个精美的“公馆”。     

陆羽山庄的设计思考

陆羽山庄度假酒店位于余杭径山镇。径山镇盛产茶叶，有双溪漂流的景点。酒店建在一片竹园之中，周边环境非常美。     

印制板蚀刻、微蚀刻废液的再生和铜回收的技术及设备

传统的印制板蚀刻废液处理方法存在着工艺落后、操作不便、二次污染、效益不高等问题,本工艺采用特殊的萃取电解、吸附电解技术,使蚀刻废液得以再生循环利用,铜得以100%回收,低含铜废水铜得到98%回收,整个系统不产生二次污染,获得的铜为高纯度铜板,在实现污染控制的同时,废液废水得到了资源化利用。     

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位于准噶尔盆地腹部的陆梁油气田是准噶尔盆地的又一个亿吨级油气田。笔者运用地球化学方法分析了陆梁油气田石炭纪—早白垩世地层水的类型、平面和纵向分布特征，将其划分为3个水文地质旋回，第一旋回为石炭系—三叠系，为深层静止开放的滞流型水力系统；第二旋回为侏罗系八道湾组—西山窑组，为中层弱开放的压实驱动型水力系统；第三旋回为侏罗系头屯河组—白垩系，为浅层强开放的重力驱动型水力系统。第一、二水文地质旋回是油气生成和初次运移的有利时期，淋滤期前的一段时间是油气二次运移和成藏的较好时期，第三水文地质旋回是油气藏破坏及次生油气藏形成的时期。     

Computer-aided design and analysis of direct-driven wheel motordrive

This paper presents the computer-aided design (CAD) and performance analysis of a novel direct-driven wheel brushless DC motor drive for electric vehicles (EVs). The proposed motor is a permanent magnet square-wave motor, whose rotor with rare earth magnets forms the exterior of the motor, which can be fitted with a wheel tire to realize the direct drive for each wheel of an EV. The interior stator with its windings is rigidly mounted onto the suspension and frame structure of the vehicle. In order to achieve the direct drive without any mechanical transmission for EVs, the wheel motor has been designed as a low-speed high-torque motor. The design and optimization of the motor geometry was achieved with the aid of finite-element electromagnetic field analysis. Simulation studies on the transient performance of the motor drive were also carried out. This involved the creation of the motor transient model and formulation of a motor control strategy to ensure the wheel motor drive runs efficiently in the entire permitted speed and load range. The application of CAD techniques in the design of this very unconventional drive is described in this paper     

Neural-fuzzy classification for segmentation of remotely sensedimages

An unsupervised classification technique conceptualized in terms of neural and fuzzy disciplines for the segmentation of remotely sensed images is presented. The process consists of three major steps: 1) pattern transformation; 2) neural classification; 3) fuzzy grouping. In the first step, the multispectral patterns of image pixels are transformed into what we call coarse patterns. In the second step, a delicate classification of pixels is attained by applying an ART neural classifier to the transformed pixel patterns. Since the resultant clusters of pixels are usually too keen to be of practical significance, in the third step, a fuzzy clustering algorithm is invoked to integrate pixel clusters. A function for measuring clustering validity is defined with which the optimal number of classes can be automatically determined by the clustering algorithm. The proposed technique is applied to both synthetic and real images. High classification rates have been achieved for synthetic images. We also feel comfortable with the results of the real images because their spectral variances are even smaller than the spectral variances of the synthetic images examined     

CMOS scaling into the nanometer regime

Starting with a brief review on 0.1-μm (100 nm) CMOS status, this paper addresses the key challenges in further scaling of CMOS technology into the nanometer (sub-100 nm) regime in light of fundamental physical effects and practical considerations. Among the issues discussed are: lithography, power supply and threshold voltage, short-channel effect, gate oxide, high-field effects, dopant number fluctuations and interconnect delays. The last part of the paper discusses several alternative or unconventional device structures, including silicon-on-insulator (SOI), SiGe MOSFET's, low-temperature CMOS, and double-gate MOSFET's, which may lead to the outermost limits of silicon scaling     

基于智能模糊控制策略的有源消声

有源消声是一种有效的低频噪声控制方法，由于空间有源消声过程具有时变性和非线性，传统的自适应算法不能进行很有效的控制。本文采用智能模糊控制策略，建立了基于智能模糊控制策略的有源消声系统，通过实验与传统自适应控制算法的消声效果作对比分析，证明智能模糊控制器不但控制速度快，易于实现，而且消声效果明显优于后者，具有较大的应用推广价值。