平面磨削精度控制的一种方法

分析了利用砂轮周边进行平面磨削加工产生形状误差的原因之一。即待加工表面的形状变化引起磨削力的变化,从而引起工艺系统的弹性变形的变化,这种变形最终导致工件产生形状误差。提出了解决这一问题的技术途径和方法,即将待加工表面分解成若干小块,对每一小块根据其形状进行分析,找出其磨削力的变化规律,然后用程序控制工件速度,从而保持磨削力近似不变,并总结了应用该方法的步骤。举例说明了应用该方法所取得的结果是:磨削平面的精度提高到原来的5倍,加工时间缩短到约为原来的一半。     

黑体辐射数值反演新方法

应用广义偏离原则对黑体辐射问题进行了反演的研究,给出了正则参数的选择方法,由计算机仿真结果知,该方法计算精度高,有良好的应用前景。     

圆柱壳体振动特性研究与有限元计算验证

采用解析理论和有限元方法研究计算了圆柱壳体的固有频率与固有振型,发现环向封闭的圆柱壳具有同一节点形式的两种固有振型,对应两种固有振型的固有频率值相同。     

双基地中两坐标收站的三维定位跟踪算法

文中讨论了Ｔ／Ｒ—Ｒ型双基地系统中无俯仰信息收站对运动目标的三维定位跟踪能力;通过若干观测点上测量数据的组合,较好地实现厂对运动目标的三维定位跟踪,从而可以将目标的高度信息从变化的距离和之差的测最值中提取出来。文中以仿真手段证明了这种方法的可行性。     

轰炸机——空防导弹武器系统对抗的兰彻斯特方程

应用兰彻斯特作战动态方程的研究方法建立了轰炸机———地空导弹的对抗模型,与统计实验法相比可以节约大量的仿真时间。     

在有限区间中用FFT求微分方程数值解的几个问题

本文讨论了在有限区间中运用FFT求解微分方程数值解时遇到的几个问题,并提出了解决方法。     

精密磨床主轴新型轴承系统工作机理的研究

圆锥多油楔动压滑动轴承系统是精密磨床主轴的一种新型支承结构,本文通过建立圆锥极坐标系,导出圆锥极坐标雷诺方程和对不可导边界的有效处理,提出了适用于锥轴承分析的方法并给出了相应计算程序。分析和计算的结果表明:工作间隙的自动调节是轴承最重要的特征,油楔深度和弹簧预紧力是影响轴承性能的主要参数,合理选择此二参数,可使轴承获得普通圆柱轴承难以达到的优良性能。     

Kane方程在平面机构动力学中的应用

在平面机构动力学的研究过程中,因其含有闭环结构而使得经典动力学的应用遇到许多麻烦。本文采用近几年发展起来的Kane方程对此进行了研究,给出了任意的平面机构的动力学方程和与之对应的数值计算方法,所得结果程序化。为平面机构的动力学控制与仿真提供了有效的方法。同时使Kane方程得以运用到新的领域。     

Bureaucracy Does Its Thing: US Performance and the Institutional Dimension of Strategy in Afghanistan

It is not too soon to draw cautionary lessons from the inconclusive results of US performance during more than 11 years of Operation ‘Enduring Freedom’ in Afghanistan. As in Vietnam, fundamental difficulties persist in adapting enduring institutions to the requirements of strategy. At the heart of the matter is tension between the assumptions that underlie counterinsurgency as practiced in Afghanistan and organization of the US Armed Forces, State Department, and Agency for International Development. Knowledge of basic principles and necessary changes is available to answer the question, could the US have done better?     

Directional change‐point detection for process control with multivariate categorical data

Most modern processes involve multiple quality characteristics that are all measured on attribute levels, and their overall quality is determined by these characteristics simultaneously. The characteristic factors usually correlate with each other, making multivariate categorical control techniques a must. We study Phase I analysis of multivariate categorical processes (MCPs) to identify the presence of change‐points in the reference dataset. A directional change‐point detection method based on log‐linear models is proposed. The method exploits directional shift information and integrates MCPs into the unified framework of multivariate binomial and multivariate multinomial distributions. A diagnostic scheme for identifying the change‐point location and the shift direction is also suggested. Numerical simulations are conducted to demonstrate the detection effectiveness and the diagnostic accuracy.© 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013