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基于NC程序的重型数控铣齿机床能耗预测 被引量:1

Energy Consumption Prediction of Heavy-Duty CNC Gear Profile Milling Machine Tool Based on NC Program
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摘要 准确预测重型数控铣齿机床的能耗是制造过程节能降耗的理论基础。以重型数控高速铣齿机为研究对象,提出基于NC程序的能耗预测方法。分析数控机床耗能部件的能耗特征,并按能耗特征进行部件分类;建立各部件能耗模型,并提出齿轮成形铣齿的材料去除率计算方法;最后,开发重型齿轮铣削加工能耗预测程序。在2台不同型号重型数控铣齿机上的试验表明预测方法的预测精度在95%以上,方法可行;此外,分别提高10%进给速度在实验的2台高速铣齿机上,其分别节能7.52%和4.25%,结果表明重型机床规格越大,节能潜力越大。 Accurately predicting the energy consumption of heavy-duty CNC gear profile milling machine tools is the theoretical basis of energy saving and consumption reduction in the manufacturing process.Therefore,taking the heavy-duty CNC high-speed gear milling machine as the research object,an energy consumption prediction method based on NC program was proposed.The energy consumption characteristics of the energy consuming components of CNC machine tools were analyzed,and the components were classified according to the energy consumption characteristics.The energy consumption model of each component was established,and the calculation method of material removal rate of gear forming milling was proposed.Finally,a gear energy consumption prediction program was developed.Moreover,experiments on two different types of heavy-duty CNC gear profile milling machines show that the prediction accuracy of the method is more than 95%,and the method is feasible.In addition,the feed speed was increased by 10%respectively on the two high-speed gear milling machines in the experiment,the energy savings are 7.52%and 4.25%respectively.The results show that the larger size of the heavy machine tool is,the greater the energy saving potential is.
作者 丁文政 贺文权 张金 邢波 卞荣 DING Wenzheng;HE Wenquan;ZHANG Jin;XING Bo;BIAN Rong(Industrial Center,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China;Nanjing Gongda CNC Technology Co.,Ltd.,Nanjing Jiangsu 211899,China)
出处 《机床与液压》 北大核心 2023年第21期91-98,共8页 Machine Tool & Hydraulics
基金 国家自然科学基金青年科学基金项目(51805242)。
关键词 重型数控机床 能耗预测 齿轮成形加工 铣床 Heavy-duty machine tool Energy consumption prediction Gear profile milling Milling machine
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