Rosin-Rammler分布的实验拟合曲线优化  

The Optimization of Experimental Fitting Curves Based on Rosin-Rammler Distribution

作　　者：王亮[1] 杨云川[1] 唐宏新 冯岩[1] 

机构地区：[1]沈阳理工大学装备工程学院,辽宁沈阳110159 [2]沈阳理工大学材料科学与工程学院,辽宁沈阳110159

出　　处：《沈阳理工大学学报》2015年第5期58-61,75,共5页Journal of Shenyang Ligong University

基　　金：辽宁省教育厅科学技术研究项目(L2013087)

摘　　要：基于Rosin-Rammler分布函数,提出一种新的实验拟合曲线优化方法,以二氧化硅、钾长石粉、矿石粉和石英砂四种材料为例,对激光粒度仪实验测量数据进行分析和处理,并应用Matlab软件编程实现实验数据分析和处理自动化。拟合曲线、误差分析和文献对比结果表明,优化方法正确、合理,优化后的拟合曲线更接近实验测量曲线。该方法对于准确计算平均粒径和方差、客观评价粉体材料性能等实际应用具有重要意义。Based on the Rosin-Rammler distribution function, this research presents a new optimization method in fitting distribution functions. It also presents the analysis and treat- ment in experiment data of Laser particle size analyzer by taking for example four kinds of materials：silica, potassium feldspar powder, mineral powder and quartz sand. Then the Mat- lab software is used to realize the automation of analysis and processing of the experimental data by programming. Through comparing the literature with graphic curve fitting and error analysis, the results show that the optimization method is correct and reasonable. They also show that the fitting result is better than the method of direct regression analysis and of the non - optimized linear regression analysis and the curve of optimization and fitting is closer to experimental measurement curve. This method has much significance for the accurate cal- culation of the average particle size and the variance, and for the objective evaluation of powder material properties, etc.

关 键 词：Rosin—Rammler分布 回归分析 特征粒径 优化方法 相关系数 

分 类 号：TF122[冶金工程—粉末冶金]