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Possible approaches to fast quality control of IFE targets

机译:对IFE目标进行快速质量控制的可能方法

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In recent years, research into the development of reliable methods and techniques for characterization and quality control of ICF/IFE targets has been carried out very actively. This is motivated by the need to provide the means for precise and accurate knowledge of cryogenic target parameters. On the other hand, particular emphasis should be paid to the fact that fuelling of a commercial power plant requires similar to 6 targets each second. This indicates that the development of fast quality control techniques is of critical importance as well. Therefore, in this report we discuss the issues underlying the construction of different algorithms for characterization and quality control of ICF/IFE targets. Among them are: (a) algorithm banks and their structure, (b) algorithm testing, (c) target reconstruction experiments. The algorithm bank incorporates the algorithms for two stages of target production: the stage of fuel layering technique development (motionless target) and the stage of cryogenic target delivery (injected target). In the first case an inverse algorithm for individual target characterization (3D target reconstruction) and two threshold algorithms for fast control of target quality are presented. They are based on tomographic information processing methods. Experimentally, tomographic data acquisition is carried out by a hundred projections microtomograph. The spatial resolution of the optical system of the microtomograph is 1 mu m for 490 nm wavelength, the accuracy of target angular positioning is +/-1.5-2.5 min. In the second case we describe the algorithm based on Fourier transform holography for ultra fast target characterization during its injection. The performed computer experiments have demonstrated much promise of this approach in the following directions: recognition of the target imperfections in both low- and high-harmonics; quality control of both a single target and a target batch; simultaneous control of both an injected target quality and its velocity and trajectory.
机译:近年来,非常积极地研究了用于表征和质量控制ICF / IFE目标的可靠方法和技术。这是由于需要提供用于精确且准确地了解低温目标参数的手段而引起的。另一方面,应特别强调以下事实:商业电厂的加油需要每秒接近6个目标。这表明快速质量控制技术的发展也至关重要。因此,在本报告中,我们讨论了构建ICF / IFE目标的表征和质量控制不同算法所依据的问题。其中包括:(a)算法库及其结构,(b)算法测试,(c)目标重建实验。算法库结合了用于目标生产的两个阶段的算法:燃料分层技术开发阶段(静止目标)和低温目标交付阶段(注入目标)。在第一种情况下,提出了用于单个目标表征(3D目标重构)的逆算法和用于快速控制目标质量的两个阈值算法。它们基于断层图像信息处理方法。实验上,断层扫描数据采集是通过一百个投影显微断层扫描仪进行的。显微断层扫描仪光学系统的空间分辨率对于490 nm波长为1微米,目标角度定位的精度为+/- 1.5-2.5分钟。在第二种情况下,我们描述了基于傅里叶变换全息术的算法,用于在注入过程中进行超快速目标表征。进行的计算机实验已经证明了该方法在以下方面的巨大前景:识别低谐波和高谐波中的目标缺陷;单一目标和目标批次的质量控制;同时控制注入的目标质量及其速度和轨迹。

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