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首页> 外文期刊>Journal of Nuclear Materials: Materials Aspects of Fission and Fusion >A cellular automaton method to simulate the microstructure and evolution of low-enriched uranium (LEU) U–Mo/Al dispersion type fuel plates
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A cellular automaton method to simulate the microstructure and evolution of low-enriched uranium (LEU) U–Mo/Al dispersion type fuel plates

机译:细胞自动机方法模拟低浓铀(UU)Mo / Al弥散型燃料板的组织和演变

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摘要

Low-enriched uranium (LEU) fuel plates for high power materials test reactors (MTR) are composed of nominally spherical uranium–molybdenum (U–Mo) particles within an aluminum matrix. Fresh U–Mo particles typically range between 10 and 100 μm in diameter, with particle volume fractions up to 50%. As the fuel ages, reaction–diffusion processes cause the formation and growth of interaction layers that surround the fuel particles. The growth rate depends upon the temperature and radiation environment. The cellular automaton algorithm described in this paper can synthesize realistic random fuelparticle structures and simulate the growth of the intermetallic interaction layers. Examples in the present paper pack approximately 1000 particles into three-dimensional rectangular fuel structures that are approximately 1 mmon each side. The computational approach is designed to yield synthetic microstructures consistent with images from actual fuel plates and is validated by comparison with empirical data on actual fuel plates.
机译:用于高功率材料测试反应堆(MTR)的低浓铀(LEU)燃料板由铝基体内标称球形的铀-钼(U-Mo)颗粒组成。新鲜的U-Mo颗粒的直径通常在10到100μm之间,颗粒体积分数最高为50%。随着燃料的老化,反应扩散过程导致围绕燃料颗粒的相互作用层的形成和增长。生长速率取决于温度和辐射环境。本文描述的元胞自动机算法可以合成现实的随机燃料颗粒结构,并模拟金属间相互作用层的生长。本纸中的示例将大约1000个粒子包装到三维矩形燃料结构中,每侧大约1毫米。该计算方法旨在产生与实际燃料板图像一致的合成微结构,并通过与实际燃料板上的经验数据进行比较进行验证。

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