基于加速性能退化机理的数控机床关键部件服役寿命预测技术研究

项目名称： 基于加速性能退化机理的数控机床关键部件服役寿命预测技术研究

项目编号： No.51275426

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 机械、仪表工业

项目作者： 高宏力

作者单位： 西南交通大学

项目金额： 80万元

中文摘要： 数控机床的工况多样性，结构复杂性和加工动态性等特点导致基于信号特征的关键功能部件（如丝杠、导轨及主轴）的服役寿命预测研究尚有许多重要的科学问题没有解决。当前，更多是对数控机床的故障诊断及可靠性技术进行研究，丝杠、导轨等运动部件的服役寿命预测在国际上基本属于空白领域，相关研究亟待加强。本项目通过对数控机床丝杠副和导轨副进行加速性能退化试验，对接触界面的微观动态进行实时检测，确定部件的性能退化模式，定性及定量分析各因素与部件性能之间的内在联系，揭示其性能退化机理，提出性能退化综合评价指标；结合模态试验和有限元分析方法，采用拉格朗日方程建立反映实际工况的部件系统模型；通过系统动态响应特性分析，针对不同性能退化模式提出信号处理和特征优化方法，利用动态反馈联想记忆网络实现数控机床关键功能部件服役寿命在线预测。本研究对于丰富机械系统状态监测理论，完善机械部件可靠性设计具有重要的科学意义。

中文关键词： 数控机床；服役寿命；加速试验；性能退化；

英文摘要： The technique of Service life prediction based on signal features for NC key components such as screw, guideline and main spindle has been studied for many years and many important scientific problems have not been solved because of diversities of working condition, structure complexity, and dynamic cutting. In present, fault diagnosis and reliability of NC have been mostly studied and service life prediction for running component such as screw and guideline has still not been researched in the world, so it is important for us to investigate the corresponding work. This project will put up accelerated performance degradation tests on screw and guideline of NC, measure real time microcosmic contact interface and dertermine the performance degradation model of the components, perform qualitative analysis and quantitative analysis between performance and different factors, open out its performance degradation mechanism and put forward performance degradation comprehensive evaluation index; Combined with modal test and finite element analysis method, establish system model reflecting the actual working condition by using Lagrange equation; Through system dynamic response characteristics analysis, propose signal processing and features optimization method corresponding to different degradation performance mode, reali

英文关键词： Numerical Control； service life；accelerated test；performance degradation；