Detection of effects of the parameters of the synthetic process on the microstructure of materials is an important, yet elusive goal of materials science. We develop a method for detecting effects based on copula theory, high dimensional distribution distances, and permutational statistics to analyze a designed experiment synthesizing plutonium oxide from Pu(III) Oxalate. We detect effects of strike order and oxalic acid feed on the microstructure of the resulting plutonium oxide, which match the literature well. We also detect excess bivariate effects between the pairs of acid concentration, strike order and precipitation temperature.
翻译:检测合成过程参数对材料微观结构的影响是材料科学中一个重要的、尚未解决的目标。我们开发了一种基于概率密度函数的合成理论、高维分布距离和排列统计的方法,分析了在 Pu(III) Oxalate 合成钚氧化物的设计实验中,合成参数对钚氧化物微观结构的影响。我们发现沉淀顺序和草酸盐喂料对生成的钚氧化物的微观结构有影响,这与文献报告相符。我们还检测到酸浓度、沉淀顺序和沉淀温度之间存在过量的双变量效应。