摘要
采用随机理论的统计方法 ,分析了难处理金矿常温常压强化碱浸预处理的砷转化过程 ,给出了转化主方程 ,用母函数方法解出了主方程的近似解。在远离临界点的非平衡状态下 ,得到了与实测值吻合较好的统计结果 ,为建立难处理金矿砷转化率与时间关系的数学模型 ,并进而为预测一定预处理时间下的金的氰化浸出率 。
By way of the random statistic method, the arsenic changing course is analyzed during the intensified alkaline leaching pretreatment of certain refractory gold ore at common temperature and normal pressure. The master equation of arsenic changing is given, and its approximate solution is solved through the parent function method. The results show that the statistical outcomes are in correspondence with the actual measurements. This study sets a basement for the founding of the mathematical model of the gold recovery rate relating with the arsenic changing rate at the certain time of pretreatment.
出处
《有色矿冶》
2002年第4期14-18,共5页
Non-Ferrous Mining and Metallurgy
基金
中国科学院九 .五应用研究与发展重大项目 (KY95 1-2 0 2 -0 3 )
国家东北高性能材料研究与发展基地创新基金(CX990 6-3 )资助
