基于机床反馈数据和工艺知识的进给速度优化

Feed Rate Optimization Based on Machine Feedback Data and Process Knowledge

数控加工工艺参数的合理选择,有助于发挥机床的最优驱动性能和刀具的最佳切削能力。目前,商用计算机辅助制造软件所生成的数控程序只能在一定切削区域给定一个唯一、保守的进给速度,难以发挥数控机床的潜能。针对这一问题,基于通用机床实际加工反馈数据对进给速度进行初步优化,根据金属切削工艺知识,建立粗加工和精加工进给速度上限值多约束模型,保证机床和刀具在发挥最大性能的同时,不会产生机械损伤。针对初步优化后进给速度存在突变的问题,给出了一种进给速度精细优化方法,可以在保证加工质量的前提下,有效提升加工效率。

The reasonable choice of CNC machining process parameters will help to put forth the machine＇s optimal driving performance and the best cutting capacity of the tool. At present, the NC program generated by commercial CAM software can only give a unique, conservative feed rate within a certain cutting area and it is difficult to call forth the potential of CNC machine tools. In order to solve this issue, the feed rate was optimized based on the feedback data in actual machining of the general machine tool. The multiple constraint model for upper limit value of the feed-rate during roughing and finishing was established according to the knowledge of the metal cutting technology to ensure the maximum performance of the machine tool and the tool without causing mechanical damage. Aiming at the problem of sudden change in feed rate after initial optimization, a fine optimization method of feed rate was given, which could improve the working efficiency under the precondition of ensuring the machining quality.