Solid-state synthesis of NASICON (Na3Zr2Si2PO12) using nanoparticle precursors for optimisation of ionic conductivity
Solid-state synthesis of NASICON (Na3Zr2Si2PO12) using nanoparticle precursors for optimisation of ionic conductivity
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DOI：
10.1007/s10853-019-04162-8
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发表时间：
2019-11
影响因子：
4.5
通讯作者：
A. Jalalian-Khakshour;C. Phillips;L. Jackson;T. Dunlop;S. Margadonna;D. Deganello
中科院分区：
文献类型：
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作者：
A. Jalalian-Khakshour;C. Phillips;L. Jackson;T. Dunlop;S. Margadonna;D. Deganello
本工作研究了前驱体原料SiO_2和ZrO_2在固相合成Na3Zr2Si2PO12中对NaSICON的影响。选择纳米级和宏级前驱体材料进行比较，并在1230℃的温度下测试了一系列烧结时间(10、24和40小时)，发现由纳米粉末前驱体制备的Na3Zr2Si2PO12微球的离子电导率显著高于较大微米级前驱体制备的微米级前驱体制备的Na3Zr2Si2PO12颗粒，具有更好的形貌和更高的密度。纳米粒子前驱体在1230℃下烧结40h时，离子电导率最大为1.16 × 10−3s/cm−1，处于已公布的Na3Zr2Si2PO12固体电导率的较高范围。在相同工艺条件下，大分子前驱体的离子电导率较低，为0.62 × 10−3S/cm−1。目前大多数作者没有引用或考虑固相合成Na3Zr2Si2PO12的前驱体粒度。这项研究揭示了前驱体粉末粒度在固相合成Na3Zr2Si2PO12的组织和性能中的重要性，并为提高制备过程的可预测性和一致性提供了一条途径。
In this work, the effect of varying the size of the precursor raw materials SiO2and ZrO2in the solid-state synthesis of NASICON in the form Na3Zr2Si2PO12was studied. Nanoscale and macro-scale precursor materials were selected for comparison purposes, and a range of sintering times were examined (10, 24 and 40 h) at a temperature of 1230 °C. Na3Zr2Si2PO12pellets produced from nanopowder precursors were found to produce substantially higher ionic conductivities, with improved morphology and higher density than those produced from larger micron-scaled precursors. The nanoparticle precursors were shown to give a maximum ionic conductivity of 1.16 × 10−3S cm−1when sintered at 1230 °C for 40 h, in the higher range of published solid-state Na3Zr2Si2PO12conductivities. The macro-precursors gave lower ionic conductivity of 0.62 × 10−3S cm−1under the same processing conditions. Most current authors do not quote or consider the precursor particle size for solid-state synthesis of Na3Zr2Si2PO12. This study shows the importance of precursor powder particle size in the microstructure and performance of Na3Zr2Si2PO12during solid-state synthesis and offers a route to improved predictability and consistency of the manufacturing process.