消磁工作线圈电流对纵向补偿的干扰研究

从现行消磁工作线圈电流对纵向补偿效果产生较大干扰的事实出发,研究其干扰程度。计算得到相关消磁线圈电感,利用法拉第电磁感应定律具体计算了在工作线圈电流首脉冲换向过程中纵向补偿线圈感应电流的大小。进而提出降低干扰的改进方案,通过科学计算及仿真分析检验了方案效果。研究结果表明改进方案可行。     

单叶片螺旋钢桩竖向承载特性数值分析

为分析单叶片螺旋钢桩在砂土地层竖向抗压承载特征,结合单叶片螺旋钢桩现场静载试验进行有限元软件模拟。将数值计算结果与现场实测数据进行对比分析,验证其数值计算结果的可靠性,其次采用该有限元软件分别模拟不同相对密实度砂土中几何参数不同的单叶片螺旋钢桩静载试验而得到不同荷载-位移曲线,同时将螺旋叶片直径的5%位移值对应荷载作为桩极限承载力。考虑砂土相对密实度,钢桩埋深,螺旋叶片直径,中心钢轴4个参数变化对单叶片螺旋钢桩极限承载力影响。结果表明:单叶片螺旋钢桩桩周土层的相对密实度和桩埋深是影响承载力的主要参数,螺旋钢桩叶片直径影响次之,钢轴直径的影响最小;同时,单叶片螺旋钢桩极限承载力增量百分比在松砂中最大,中密砂次之,密砂最小。     

基于有限元法螺旋槽船舶尾轴承结构优化设计

针对水润滑橡胶尾轴承的结构尺寸优化问题,设计了圆弧形、矩形、燕尾形3种不同形式的螺旋槽尾轴承,基于有限元静力分析和模态分析,应用Solid Works Simulation对3种不同形式的螺旋槽艉轴承模型进行结构优化设计。结果表明,通过优化3种不同形式的螺旋槽外形结构尺寸,对各自尾轴承优化设计结果具有一定的影响,且可以得到最为理想的最优尺寸参数。     

Improvement of efficiency and flexibility in multi-slice helical CT

One of the main aspects in computed tomography (CT) development is to make CT rapidly scan a large longitudinal volume with high z-axis resolution. The combination of helical scanning with multi-slice CT is a promising approach. Image reconstruction in multi-slice CT becomes, therefore, the major challenge. Known algorithms need to derive the complementary data or work only for certain range of pitches. A reconstruction algorithm was presented that works with the direct data as well as arbitrary pitches. Filter interpolation based on the proposed method was implemented easy. The results of computer simulations under kinds of conditions for four-slice CT were presented. The proposed method can obtain higher efficiency than the conventional method.     

周围性肺栓塞螺旋CT强化扫描肺密度测量的研究

目的　探讨螺旋CT平扫与强化扫描肺实质密度测量在周围性肺栓塞诊断中的作用。方法　 8只犬于DSA下复制为单侧周围性肺栓塞动物模型后进行螺旋CT平扫和强化扫描 ,根据DSA发现的栓塞肺动脉的位置 ,于螺旋CT平扫和强化扫描图像上分别测量栓塞区与对侧肺正常肺实质的CT值 ,比较双肺的CT值差异与净增CT值差异。结果　螺旋CT平扫栓塞区的CT值与对侧正常肺实质的CT值之间无明显差异 (P >0 .0 5 ) ;螺旋CT强化扫描显示栓塞区的CT值明显低于正常肺实质的CT值 (P <0 .0 1) ,而且栓塞区的净增CT值也明显低于正常肺实质的净增CT值 (P <0 .0 1)。结论　螺旋CT强化扫描可以发现周围性肺栓塞所致的低灌注区 ,是诊断周围性肺栓塞的重要间接征象     

On-line detecting of transformer winding deformation based on parameter identification of leakage inductance

Transformers are required to demonstrate the ability to withstand short circuit currents. Over currents caused by short circuit can give rise to windings deformation. In this paper, a novel method is proposed to monitor the state of transformer windings, which is achieved through on-line detecting the leakage inductance of the windings. Specifically, the mathematical model is established for on-line identifying the leakage inductance of the windings by applying least square algorithm （LSA） to the equivalent circuit equations. The effect of measurement and model inaccuracy on the identification error is analyzed, and the corrected model is also given to decrease these adverse effect on the results. Finally, dynamic test is carried out to verify our method. The test results clearly show that our method is very accurate even under the fluctuation of load or power factor. Therefore, our method can be effectively used to on-line detect the windings deformation.