首页> 外文会议>CanSmart Workshop on Smart Materials and Structures; 20000928-20000929; St.Hubert; CA >MEASUREMENTS AND OPTIMIZATION OF RADAR ABSORBING MATERIALS: PRELIMINARY CONSIDERATIONS
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MEASUREMENTS AND OPTIMIZATION OF RADAR ABSORBING MATERIALS: PRELIMINARY CONSIDERATIONS

机译:雷达吸收材料的测量和优化:初步考虑

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Currently new organic materials are being developed for use as radar absorbing materials (RAM). These materials are thin, and in general characterized by the complex permittivity and permeability. During their development it is essential to be able to measure their electrical properties in a range of frequencies of interest. There are numerous methods that may be used for measurement of properties of thin samples. However, positioning of thin samples always remains a problem that may significantly increase measurement errors. In the initial phase measurement are limited to a relatively narrow frequency range in X-band (8.2-12.4 GHz). This allows for the measurements to be performed in the waveguide using an automatic vector analyzer. Two methods are explored for measurements of thin samples that are deposited on a low-loss dielectric support e.g., acrylic. In one of the methods, an identical acrylic block is measured, and used as a reference. In the other method, the presence of the acrylic is taken into account in numerical computations. Actually, by selecting a proper length of this sample support an improved accuracy can be obtained for test samples of some permittivity and permeability values. Initial tests and numerical evaluation indicate sufficient accuracy of measurements, as long as the support block is well fitted into the vertical dimension of the waveguide. To retrieve the permittivity and permeability values from measured reflection and transmission coefficients of the test sample in the waveguide two methods are being developed, namely the nonlinear square fit and genetic algorithm. In addition to measurements, methods of multi-layer RAM structures optimization are considered. Very promising results are obtained in this application with use of genetic algorithms.
机译:当前,正在开发新的有机材料用作雷达吸收材料(RAM)。这些材料很薄,通常以介电常数和磁导率复杂为特征。在其开发过程中,至关重要的是能够在感兴趣的频率范围内测量其电性能。有许多方法可用于测量稀薄样品的性能。然而,稀薄样品的定位始终是一个可能会显着增加测量误差的问题。在初始阶段,测量仅限于X波段(8.2-12.4 GHz)中相对较窄的频率范围。这允许使用自动矢量分析仪在波导中执行测量。探索了两种方法来测量沉积在低损耗电介质载体(例如丙烯酸)上的薄样品。在一种方法中,测量相同的丙烯酸嵌段,并用作参考。在另一种方法中,在数值计算中考虑了丙烯酸的存在。实际上,通过选择适当长度的该样品载体,对于具有一些介电常数和磁导率值的测试样品,可以获得更高的精度。初始测试和数值评估表明,只要支撑块完全适合波导的垂直尺寸,测量的精度就足够。为了从波导中测试样品的反射系数和透射系数中获取介电常数和磁导率值,正在开发两种方法,即非线性平方拟合和遗传算法。除了测量之外,还考虑了多层RAM结构优化的方法。使用遗传算法在此应用程序中获得了非常有希望的结果。

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