Research And Application Of Automatic Setting Algorithm For Small Line Machining Control Parameters

In the three axis surface machining,small segment is still the tool path general expression,in order to ensure processing quality,the need for speed CNC system planning according to the geometric properties of the tool path.In order to facilitate the speed planning,a series of control parameters are set up.For the actual processing,improper parameter settings will affect the quality and efficiency of cutting.In this paper,the machining parameters are automatically identified according to the NC machining code,so as to optimize the machining efficiency and quality.This paper presents an automatic identification algorithm for machining control parameters based on statistical method.This is based on the identification of the geometric properties of the tool path distribution model to estimate the processing parameters of the algorithm.Based on the interval estimation of the geometric attributes,the geometric properties of the tool path are divided into different intervals,and the velocity planning is carried out for different intervals.Based on the change of the geometric properties of the tool path in a certain range,a method for correcting the estimated value of the machining control parameters is proposed.The method of processing control parameters adjusted,will have different parameters of different tool path in the same G code,reducing the fixed parameter setting caused by adjacent tool path planning speed in different ways,affecting the quality of processing problems.The above research results to design software simulation module based on statistical algorithm based on the development of a automatic parameter identification software,automatically determine the processing control parameters according to the NC code,which can be applied to the actual processing,the operation is simple and convenientBased on the above research,the simulation and experimental verification of the proposed algorithm are made,and compares the differences between the automatic identification algorithm and the original algorithm in the synthesis speed,the synthetic acceleration and the synthetic agility curve.The experimental results show that the proposed algorithm makes the velocity curve more smooth,and reduces the synthetic acceleration and the synthetic agility amplitude.