甲状腺肿块的高频彩色多普勒超声诊断

目的 :探讨高频彩色多普勒超声检查对甲状腺肿块的诊断价值。方法 :对 48例甲状腺包块患者进行二维及彩色多普勒血流显像超声检查。结果 :48例甲状腺包块患者共检出肿块 67个 ,超声检查与病理对照除 3例误诊外 ,其余 45例与病理结果包括肿块部位、数目均符合 ,符合率 90 % ( 42 / 45 )。结论 :高频彩色多普勒超声检查对甲状腺肿块具有较高的诊断价值 ,可为临床提供有价值的诊断依据     

可视化平面杆件系统分析程序

介绍了研制可视化杆件系统分析程序的基本要求和现有的杆件系统分析程序，阐述了笔所提出的可视化杆件系统分析程序的研制要点。     

高功率型镍氢电池的循环性能

由于没有镉污染,对环境友好,用于高功率设备的镍氢电池的需求量增长很快,目前每年的需求量约为5亿只.但是镍氢电池的一些性能还不能完全满足电动工具的使用要求,突出表现在电池大电流充放循环寿命较差.因此,研制高性能的高倍率镍氢电池不仅具有重要的研究意义,也有很大的应用价值.本文研究影响SC型动力电池循环寿命衰减的主要因素,测量了在大电流循环过程中镍氢电池的内阻、温度及重量变化,并运用SEM、XRD对电池内阻升高的原因进行了分析.我们认为电池内阻升高是镍氢电池大电流循环寿命差的主要原因,分析发现在镍氢电池进行大电流充放电循环时,电池正极膨胀,负极微粉化,电池内部孔隙率增加,致使电解液干涸,电池内阻升高.通过增加负极容量,抑制正极膨胀,可以有效改进镍氢电池大电流充放时的循环性能.     

A new model for the life prediction of GH4133 under TMF conditions

Thermal mechanical cyclic strain tests were carried out under in-phase and out-of-phase conditions on a Nickel-base Superalloy GH4133 in the temperature range of 571-823℃. Based on analyzing the present models of TMF (thermal mechanical fatigue) life prediction, a new model for predicting nickel-base superalloy TMF lifetime was proposed.TMF life of superalloy GH4133 was calculated accurately based on the new model. Experimental TMF life has been compared with the calculatedresults and all results fall in the scatter band of 1.5. The calculating results show that the new model is not only simple, but also precise. This model will play great roles in life prediction of the metal materials and the engineering components subjected to non-isothermal service conditions.     

粘结开裂破坏框架柱性能的研究

本文以试验结果为基础,通过轴压力、配筋、配箍、加载方向的变化,分析了这些因素对产生粘结开裂破坏框架柱性能的影响,并给出了产生粘结开裂破坏的m值下限。     

高应变率扭转SHB实验技术

介绍自制分离式霍布金生扭杆试验设备；详细推导出按扭转ＳＨＢ方法测量材料的动态剪应力和剪应变关系的基本方程；对软铝进行高应变率试验得到动态剪应力和剪应变关系曲线。     

A Dynamic Forecasting System with Applications in Production Logistics

Production logistics involve the co-ordination of ac tivities such as production and materials control (PMC), inventory management, p roduct life cycle management, etc. Those activities demand for an accurate forec asting model. However, the conventional methods of making sell and buy decision based on human forecast or conventional moving average and exponential smoothing methods is no longer be sufficient to meet the future need. Furthermore, the un derlying statistics of the market information change ...