4.2 Article

Toward an In-Depth Material Model for Cermet Nuclear Thermal Rocket Fuel Elements

期刊

NUCLEAR TECHNOLOGY
卷 207, 期 6, 页码 825-835

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/00295450.2020.1850162

关键词

Cermet; modeling; mechanical; chemical; erosion

资金

  1. NASA's Center Innovation Fund
  2. NASA Space Technology Mission Directorate

向作者/读者索取更多资源

This study demonstrates the potential application of integrated computational materials engineering techniques in nuclear thermal propulsion fuel elements through three case studies, focusing on material erosion, stability, and high-temperature mechanical response predictions. The use of ab initio techniques and microstructure information provides insight into material behavior under operating conditions, aiding in the development and qualification of NTP fuel element technologies.
The development and qualification of nuclear thermal propulsion (NTP) fuel element technologies would be aided by an in-depth model of material response and failure modes at operating conditions. Integrated computational materials engineering techniques have the potential to provide such a model, as demonstrated here through three case studies focused on a tungsten-uranium mononitride (UN) cermet fuel. The first case focuses on the erosion of tungsten (also named wolfram), a nominal coating/cladding and fuel element matrix material, in hot hydrogen. Ab initio techniques are used to calculate erosion rates and thermal expansion at NTP operating conditions. The second focuses on the stability of UN fuels at high temperature and in the presence of hydrogen. Phase diagram techniques augmented with ab initio thermodynamic data reveal potential instabilities and decomposition pathways at high hydrogen concentrations. The third focuses on using microstructure information to predict high-temperature mechanical response and failure of tungsten. Combined finite element and discrete dislocation dynamics techniques provide mechanical properties in agreement with experimental methods. The integration of these techniques for an all-encompassing material model is discussed.

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