IP网络资源调度与接纳控制技术研究

从IP QoS技术的研究现状出发,结合IETF的研究成果与电信网NGN的技术发展方向,阐述基于策略的端到端接纳控制框架的技术原理,在各大标准组织的技术框架内,给出一个具体的、切实可行的实现方法。     

Hysys软件在分析精丙烯硫化物来源中的应用

气体分馏装置原料液化石油气 (LPG)中有机硫化物形态复杂 ,考察分析工业装置精丙烯硫化物含量变化难度大。利用Hysys模拟 ,分析判断LPG中小分子有机硫化物在气体分馏产品的分布并提出了控制措施。考虑操作条件对精丙烯硫含量的影响 ,并对工业装置精丙烯总硫超标原因进行了分析。     

WXJB—E型多点温度监测报警仪的研制

本文介绍了 WXJB—E 型多点温度监测报警仪的设计思想、基本原理、技术关键、技术指标及其功能。     

An Analog Front‐End Circuit for ISO/IEC 14443‐Compatible RFID Interrogators

An analog front‐end circuit for ISO/IEC 14443‐compatible radio frequency identification (RFID) interrogators was designed and fabricated by using a 0.25 µm double‐poly CMOS process. The fabricated chip was operated using a 3.3 Volt single‐voltage supply. The results of this work could be provided as reusable IPs in the form of hard or firm IPs for designing single‐chip ISO/IEC 14443‐compatible RFID interrogators.     

近距离下覆4#煤层综采工作面顶板管理经验

介绍了近距离深层综采工作面顶板和巷道顶板管理经验，及综采工作面在通过巷道冒项区域时所采取的办法和措施。     

冷库地坪防冻臌机械通风的传热计算

设计手册中关于使用机械通风防止冷库地坪冻臌的参数（风道直径、间距及长度）仅是推荐值，它忽略了地坪结构、土壤温度和外界空气温度对通风系统节能的影响，因而造成地基土壤的热损失和冷库负荷的增大。从冷库节能和冷库建筑安全使用出发，对采用机械通风防止地坪冻臌进行了传热分析，提出了在传热计算中参数的合理选择和通风系统的设计方法。     

超高吨位灌注桩静载试验中的预应力混凝土反力装置

在复兴大桥超高吨位灌注桩的静载试验,预应力混凝土反力装置替代了传统的钢梁反力系统。这套装置主要包括预应力锚桩、预应力承台与预应力反力梁。试验结果表明,直接获得超高吨位大直径嵌岩桩的极限承载力相当不易,而对这类问题预应力混凝土反力装置是值得考虑的。     

立铣加工过程中的微元铣削力建模分析

针对单纯通过高速切削技术制造某些大型飞机零件过程中,存在难以控制的加工变形和较强表面残余拉应力分布等突出问题,以直齿和螺旋齿立铣加工过程为研究对象,基于微元切削机理,通过对刀齿铣削过程的分析,建立动态铣削加工仿真模型,导出铣削面积、铣削力、主轴扭矩、铣削功率与切削用量的关系.数值模拟结果与试验值较吻合,表明该模型可以实现动态铣削力预测,优化切削用量.     

The statistical modeling of surface roughness in high-speed flat end milling

Surface roughness is one of the most important requirements in machining process. The surface roughness value is a result of the tool wear. When tool wear increase, the surface roughness also increases. The determination of the sufficient cutting parameters is a very important process obtained by means of both minimum surface roughness values and long tool life. The statistical models were developed to predict the surface roughness.This paper presents the development of a statistical model for surface roughness estimation in a high-speed flat end milling process under wet cutting conditions, using machining variables such as spindle speed, feed rate, depth of cut, and step over. First- and second-order models were developed using experimental results of a rotatable central composite design, and assessed by means of various statistical tests. The highest coefficient of correlation (R_adj²) (88%) was obtained with a 10-parameter second-order model. Meanwhile, a time trend was observed in residual values between model predictions and experimental data, reflecting the probable effect of the tool wear on surface roughness. Thus, in order to enhance the estimation capability of the model, another independent variable was included into the model to account for the effect of the tool wear, and the total operating time of the tool was selected as the most suitable variable for this purpose. By inserting this new variable as a linear term into the model, R_adj² was increased to 94% and a good fit was observed between the model predictions and supplementary experimental data.In this study, it was observed that, the order of significance of the main variables is as X₅>X₃>X₄>X₁>X₂ (total machining time, depth of cut, step over, spindle speed and feed rate, respectively).     

基于图像识别的铜转炉吹炼造渣期渣含Fe预测模型研究

铜转炉吹炼是火法炼铜的关键工序,其终点判断与炉寿、铜产率和直收率紧密相关,目前现有人工经验、仪器测定和物料平衡法等终点判断方法均存在一定的局限性。理论上铜转炉吹炼造渣期终点与渣含Fe是否达标有关,而不同Fe含量渣样呈现不同的图像特征,鉴于此,基于图形识别的特征向量提取原理,分别采用卷积神经网络(CNN)算法与支持向量机(SVM)算法,构建了铜转炉吹炼造渣期渣含Fe预测模型,为图像识别技术在铜转炉吹炼终点判断中的应用奠定数模基础。两种模型的实例分析表明,卷积神经网络的训练集预测准确率98%,测试集预测准确率约50%;支持向量机模型的训练集预测准确率99%,测试集预测准确率62%。