亚微米Beta-Li2TiO3的高稳定超胞结构：超临界水热场调制

项目名称： 亚微米Beta-Li2TiO3的高稳定超胞结构：超临界水热场调制

项目编号： No.51302159

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 一般工业技术

项目作者： 于成龙

作者单位： 陕西科技大学

项目金额： 25万元

中文摘要： 超胞结构高度稳定的超细Beta-Li2TiO3是极其重要的固态氚增殖新能源材料。本项目针对普通湿化学方法后期长时间煅烧容易破坏超胞结构的难题，提出利用超临界水热场调制直接制备高稳定的亚微米Li2TiO3。借助超临界水热场，有效降低超胞结构中离子稳定的活化势垒，旨在避免后期煅烧而直接促进超胞结构中Li和Ti离子归位并稳定。拟以TiO2和LiOH为原料，系统深入研究超临界水热场调制下超细颗粒可控制备的工艺优化并超胞结构高度稳定的必要条件及其形成机理。探索一套集成HR-TEM的傅里叶变换频率谱、ICP-AES、Raman光谱及XRD精细谱和模拟谱等测试方法定量评价复杂氧化物结构的方法。项目可为超临界水热场系统中制备高稳定超胞结构的Li2TiO3粉体提供直接工艺参数，可为同类复杂氧化物的制备及结构稳定性评价提供重要的理论参考，对提高Li2TiO3氚增殖性能和抗高能粒子轰击性能具有极其重要意义。

中文关键词： Beta-Li2TiO3；超胞结构；超临界水热法；工艺优化；机理

英文摘要： As one of the key solid breeder materials in International Thermonuclear Experimental Reactor (IETR), fine Beta-Li2TiO3 with well-developed supercell structure has been a strategic focus to enhance the optimal tritium releasing properties in the pellet bed. This project aims to synthesize micro-sized Beta-Li2TiO3 with well developed supercell structure via hydrothermal reaction under supercritical conditions using anatase TiO2 and LiOH as raw materials, avoiding the destruction of the supercell structure promotion of the fine particles with further calcination for relative long time by the previously proposed wet-chemical methods. Aiding by the theoretical higher inner pressure, the lower viscosity, and the higher ion diffusion coefficients, the activation barrier of the stabilization of the ions in the supercell structure of Beta-Li2TiO3 can be effectively decreased, thus no further calcination is needed for the stabilization of the lithium and titanium ions, typically of the lithium ions in the (002) supercell lattice plane. Effects of the supercritical and sub-supercritical hydrothermal conditions on the supercell structure development and the experimental optimization for fine particles, and the necessary conditions concerning temperature, time, pressure, and concentration of the raw materials on the superce

英文关键词： Beta-Li2TiO3；Supercell structure；Supercritical hydrothermal reaction；Experimental optimization；Formation mechanism