改进灰色模型在刀具状态监控中的研究与应用  

Research and application of improvement grey model to monitoring technique for tool wear

作　　者：任工昌[1] 王党席[1] 苗新强[1] 

机构地区：[1]陕西科技大学机电工程学院,西安710021

出　　处：《机械设计与制造》2010年第9期71-73,共3页Machinery Design & Manufacture

基　　金：陕西省教育厅产业化培育项目(07JC05);咸阳市科技计划项目(XK0708-6)

摘　　要：刀具状态的精确监控是保证金属切削加工过程顺利进行的关键,因此研制准确、可靠且成本低廉的刀具磨损状态监控系统一直是研究人员所追求的目标。引人改进灰色预测模型理论用来预测刀具的运行状态,具有所需数据少、精度高的优势。预测曲线符合实际,较好地反映了刀具磨损状态的变化,达到了监控的目的。The precise monitoring of the tool wear condition is the key to guarantee the metal cutting procedure. There is always the researchers＇ target that how to develop an exact,reliable and low cost tool wear monitor system. In order to improve the precision,the improvement of Grey Model is introduced into tool condition prediction,which needs little data. The result shows that the forecast curve can reflect the changes of tool wear status perfectly,thus the purpose of monitoring is achieved.

关 键 词：灰色预测理论 灰色预测模型 刀具磨损 刀具监控系统 

分 类 号：TH16[机械工程—机械制造及自动化] TP27[自动化与计算机技术—检测技术与自动化装置]