PDM与ERP的集成技术及其应用

产品数据管理(PDM)与企业资源计划(ERP)是制造企业增强其竞争力的最主要技术支撑,如何实现两个系统之间的有效集成是目前制造企业迫切需要解决的问题.本文指出了PDM与ERP系统集成的必要性,分析了两个系统之间集成的数据内容和数据交换过程;介绍了两个系统的集成方法,着重探讨了基于中间文件XML的集成方法并给出了应用实例.     

变推力液体火箭发机系统仿真软件的研究

闸明了变推力液体火箭发动机系统仿真软件设计的指导思想,介绍了软件的结构,着重叙述了典型部件的运算模块。最后,简单地介绍丁在实现该软件时的一些技术处理。     

离散事件系统的Petri网图仿真

1.前言 离散事件动态系统DEDS(Discrete Event Dynamic System)的传统分析方法——应用排队论和随机过程理论为离散事件动态系统建立排队网络模型,在很多情况下已不适用。新的理论和研究方法相继提出。其中之一是“皮特里网”(Petri Nets)理论。另一种比较成熟的方法是仿真法,但是,仿真法要以高昂的计算机设备的大量计算时间为代     

Weak Signal Detection in Non-Gaussian Noise of Unknown Level

An adaptive threshold detector to test for the presence of a weak signal in additive non-Gaussian noise of unknown level is discussed. The detector consists of a locally optimum detector, a noise level estimator, and a decision device. The detection threshold is made adaptive according to the information provided by the noise level estimator in order to keep a fixed false-alarm probability. Asymptotic performance characteristics are obtained indicating relationships among the basic system parameters such as the reference noise sample size and the underlying noise statistics. It is shown that, as the reference noise sample size is made sufficiently large, the adaptive threshold detector attains the performance of a corresponding locally optimum detector for detecting the weak signal were the noise level known.     

激波作用下粉尘卷扬,点火与燃烧的数值研究

根据本文给出的守恒方程和计算方法，对激波与沉积可燃粉尘的相互作用进行了数值研究，讨论了激波作用下的颗粒的上扬、点火与燃烧的基本特征以及波后燃烧粉尘云的内部结构。     

超声爬波无损检测方法的研究

本文介绍了超声无损检测中一种具有较好应用前景的波型──超声爬波。试验研究了爬波检测时缺陷定位、定性评定的方法，并给出了主要结论。     

一种基于数字信号处理的阻抗参数测量新方法

利用数字信号处理理论与技术提出了一种阻抗参数测量新方法,即采用任意的周期信号作为测量的激励信号,激励信号的信噪比可以很低;采用高镜频抑制比的数字正交采样滤波器得到被测阻抗和标准阻抗上的电压采样序列的同相分量与正交分量,并据此确定被测阻抗参数,该方法能得到较高的阻抗参数测量精度和较宽的测量范围,并且硬件电路实现比较容易.文中给出了计算机仿真分析和硬件实现系统的实验结果,证明了新方法的有效性和正确性.     

夏热冬冷地区居住建筑节能设计分析

推动建筑向节能、绿色、智能化方向发展,是国际建筑界实践可持续发展理念的大趋势,也是中国经济社会发展面临的重要任务。我国居住建筑节能,从八十年代初起步,从全国总体情况看,节能标准在北方地区推行较早,近一两年来,我省尤其是南昌市的节能标准执行力度正在不断加大。本文通过对冬冷夏热地区一栋宿舍建筑实例进行节能设计分析,得出冬冷夏热地区"宿舍"建筑节能设计外维护结构的一般设计标准。     

A review of topology optimization for additive manufacturing: Status and challenges

Topology optimization was developed as an advanced structural design methodology to generate innovative lightweight and high-performance configurations that are difficult to obtain with conventional ideas. Additive manufacturing is an advanced manufacturing technique building as-designed structures via layer-by-layer joining material, providing an alternative pattern for complex components. The integration of topology optimization and additive manufacturing can make the most of their advantages and potentials, and has wide application prospects in modern manufacturing. This article reviews the main content and applications of the research on the integration of topology optimization and additive manufacturing in recent years, including multi-scale or hierarchical structural optimization design and topology optimization considering additive manufacturing constraints. Meanwhile, some challenges of structural design approaches for additive manufacturing are discussed, such as the performance characterization and scale effects of additively manufactured lattice structures, the anisotropy and fatigue performance of additively manufactured material, and additively manufactured functionally graded material issues, etc. It is shown that in the research of topology optimization for additive manufacturing, the integration of material, structure, process and performance is important to pursue high-performance, multi-functional and lightweight production. This article provides a reference for further related research and aerospace applications.     

基于学习自动机的雷达干扰资源分配研究

综合考虑干扰机干扰频率、干扰功率、干扰时机和干扰样式等干扰效果评估指标,构建干扰效益矩阵,建立目标函数,构建干扰资源分配博弈模型,并基于学习自动机原理提出了分布式干扰资源分配算法,求解出干扰分配决策。仿真结果表明,提出的分布式干扰资源分配算法能以很低的复杂度来获得很好的干扰性能,有效地解决了干扰资源分配问题,对实际作战指挥有一定的指导意义。