摘要
分析了合成AlON的各种方法。用模式识别结合神经网络对碳热还原氮化合成AlON工艺进行了优化 ,利用模式逆映射得到了理想的合成工艺参数。对AlON体系进行了热力学初步分析 ,计算了温度为 2 0 73K时合成AlON的热力学参数状态图。根据热力学参数状态图所确定的条件 ,热压合成了AlON陶瓷。对所合成的AlON试样进行了X射线衍射标定及部分物理性能的测定。其密度为 3 .6 3g/cm3,约为其理论密度的 97.8%。
The synthesis technology of AlON ceramics was investigated. The program of pattern recognition was used to optimize the parameters of AlON synthesis process, and the proper parameters were obtained by inverse projection. The thermodynamic properties of AlON were preliminary analyzed and estimated, phase stability diagrams at 2 073 K were calculated. AlON ceramics was synthesized by hot press sintering under the conditions given by phase stability diagram. The density of AlON is 3.63 g/cm 3, about 97.8% of its theoretic density. [
出处
《中国有色金属学报》
EI
CAS
CSCD
北大核心
2001年第1期59-62,共4页
The Chinese Journal of Nonferrous Metals
基金
国家自然科学基金!资助项目 (5 9872 0 0 2及 5 0 0 740 0 4)
关键词
氮氧化铝
合成
模式识别
陶瓷
aluminum oxynitride
synthesis
pattern recognition
