多股射流横向喷入有约束管流过程的模拟

用基于控制体的有限差分方法对一排射流横向喷入管流的流场进行了数值分析，以建立流场温度分布和上游流动条件及几何参数的关系，可变的参数包括：喷嘴直径，喷嘴数，圆柱管半径，射流与主流的体积流量比，温度比和动压比，结果发现，动压比，喷嘴个数和喷嘴间距是三个重要变量，通过对模拟结果的函数拟合，发现射流喷射深度与动压比除以喷嘴数的平方之间的关系可用一个对数函数很好地描述，给出了适用最佳混合的喷射深度和喷嘴间距，提出了可用于结构实设计的程序。     

The innovation process: interpreting customer requirements

In this article we argue that the interpreter role serves an important function in the innovation of new products and processes. In our survey of over 1000 United States Air Force engineers and project managers, we found that translating customer requirements into specification and statement of work form is one of the most difficult tasks to do in a program office. In analyzing the reasons for this difficulty, we address possible concerns about the nature of the requirement's definition process     

Low-cost technology for multimode radar

A flexible test bed radar architecture is described which includes an integrated RF electronics package that can support multiple radar applications, including surveillance, fire control, target acquisition, and tracking. This type of architecture can significantly reduce the cost, power, size, and weight of electronics on future weapon delivery platforms. The Army Research Laboratory (ARL) is developing technology to support multimode radar requirements. These requirements include the detection and location of moving or stationary low radar cross section targets in heavy ground clutter and the classification and/or recognition of these targets. We address these requirements with commercial-off-the-shelf (COTS) products and the integration of several enabling technologies. The test bed radar includes a direct digital synthesizer (DDS) for frequency-diverse waveform generation, a flexible wideband transceiver for bandwidth extension and frequency translation, and an open architecture signal processor with embedded wideband analog-to-digital converters for real-time acquisition and processing. Efficient signal processing algorithms have been developed to demonstrate multimode radar capability. This paper discusses the various subassemblies, algorithm efficiency, and field experiment results