珩磨加工中圆柱度误差的评定方法研究

Research for Cylindricity Evaluation Method in the Honing

针对最小二乘法评定误差较大,而遗传算法及免疫算法等智能仿生算法,由于算法复杂,设置参数过多,收敛较慢等原因,结合圆柱度误差评定的特点及珩磨具体工况,提出采用二分迭代法,基于最小二乘结果,实现了珩磨工况下圆柱度误差的在线高效评定。结果表明,此算法运行时间只需0.219002s,收敛速度快,评价精度高,结构简单,容易理解,适用于珩磨动态在线测量及实时处理系统,从而更好地实现珩磨加工过程的实时指导控制以及珩磨效率和珩磨精度的有效提高。

Considering error too large about the least square method, and genetic algorithm and immune algorithm of intelligent bionic algorithm＇s problem, such as the complex algorithm, too many setting parameters, convergence slower and so on, these methods are not suitable for real-time guide processing. Based on the characteristics of the cylindricity error evaluation and honing specific conditions, it puts forward a new method that is based on the least squares results and dichotomy, and realizes the efficient evaluation of cylindricity error for honing conditions. The results show that this algorithm is running time just 0.219002 seconds, operation results are accurate, suitable for the honing dynamic real-time measurement and real-time processing system, so as to control immediately honing process, and improve the accuracyof honing and efficiency of honing.