基于CNC加工中心的零件加工节拍计算方法OA
Cycle Time Calculation for Part Processing Based on CNC Machining Centers
零件加工节拍是数控加工中心生产效率和制定生产计划的重要指标,其计算精度直接影响产能评估和工艺优化.针对五轴CNC加工中心的加工节拍计算准确性不足的问题,选择对具有多种典型加工特征的NAS标准零件进行加工,设计了完整的工艺路线和刀具参数,并在巨冈精工桥式五轴摇篮加工中心上进行实验.采用了3种方法计算加工节拍:一是通过UG软件生成刀具轨迹并计算切削时间与非切削时间;二是通过节拍表计算,结合刀具转速、进给量等切削参数计算各工步时间;三是在西门子虚拟仿真软件中导入NC代码并基于机床系统参数进行动态仿真.研究结果表明,节拍表精度最低,误差最大为6.16%,UG仿真兼顾精度和适用性,而西门子仿真方法误差最小为0.66%,但适用性低;同时钻孔和攻丝环节的误差显著大于铣削环节.研究成果为CNC加工中心的节拍预测提供了系统性比较结果和定量依据,为生产计划制定、工艺优化提供参考.
The machining cycle time is a key indicator for evaluating the production efficiency of CNC machining centers and for formulating production plans,and its calculation accuracy directly affects capacity assessment and process optimization.To address the issue of insufficient accuracy in cycle time calculation for five-axis CNC machining centers,a NAS standard part with multiple typical machining features is selected,a complete process route and tool parameters is designed,and experiments on a bridge-type five-axis cradle machining center of Jugang Precision are conducted.Three methods are adopted to calculate the cycle time.Firstly,tool paths is generated using UG software to obtain cutting time and non-cutting time.Secondly,a cycle time table combined with cutting parameters such as spindle speed and feed rate is used to calculate the time of each operation step.Thirdly,NC codes are imported into Siemens virtual simulation software for dynamic simulation based on machine system parameters.The results show that the cycle time table has the lowest accuracy,with a maximum error of 6.16%,UG simulation achieves a balance between accuracy and applicability,while Siemens simulation yields the smallest error of 0.66%but has limited applicability.Furthermore,the errors in drilling and tapping operations are significantly greater than those in milling operations.The study provides a systematic comparative analysis and quantitative evidence for cycle time prediction in CNC machining centers,offering support for production planning and process optimization.
韦世勇;胡翔宇;高孝洋;陈平;吴景良;万珍平
巨冈精工(广东)股份有限公司,广东 东莞 523962华南理工大学 机械与汽车工程学院,广州 510640巨冈精工(广东)股份有限公司,广东 东莞 523962华南理工大学 机械与汽车工程学院,广州 510640巨冈精工(广东)股份有限公司,广东 东莞 523962华南理工大学 机械与汽车工程学院,广州 510640
矿业与冶金
虚拟机床加工工艺加工节拍
virtual machine toolmachining processcycle time
《机电工程技术》 2026 (15)
34-40,7
东莞市工业母机与模具创新联合体项目(20251201500012)
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