【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。更多还原

【Abstract】 Based on the Rosin-Rammler distribution function,this research presents a new optimization method in fitting distribution functions. It also presents the analysis and treatment in experiment data of Laser particle size analyzer by taking for example four kinds of materials: silica,potassium feldspar pow der,mineral pow der and quartz sand. Then the Matlab 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 calculation of the average particle size and the variance,and for the objective evaluation of pow der material properties,etc.更多还原