【作者】 郑慧萌；

【导师】 杨兆军；

【作者基本信息】 吉林大学 ， 机械制造及其自动化， 2006， 硕士

【摘要】 本文利用LabVIEW7.0软件和MATLAB软件研制开发了一套基于模糊控制技术和多传感器融合技术的微孔钻削在线实时监测系统。该系统能够同时采集轴向力信号,扭矩信号,主轴电机电流信号。并具有数据存储、数据实时显示、历史数据再现、数字滤波、模糊输出、模糊识别,报警显示以及与单片机控制单元进行串行通讯等功能。本文建立了模糊推理判别报警模型。介绍了钻头磨损模糊控制器的整个设计过程,包括确定输入输出变量,选择语言值域、选择合适的隶属度函数、设计模糊控制规则,选择模糊推理方法和去模糊化过程。根据实验采集的反映钻头磨损状态的三参数轴向力信号、扭矩信号、主轴电机电流信号进行模糊融合得到反映钻头磨损状况的监测阈值。并根据监测阈值进行了钻削实验。实验表明,把多参数模糊识别技术用于钻削过程的钻头磨损实时监测能够准确识别钻头的磨损状态,较好地避免了钻头折断和工件的报废,这为微孔钻削加工的智能化在线监测提供了一套有效的方法。更多还原

【Abstract】 With the development of science and technology ,mechanical-electronicproducts becoming accurate, integral and miniature, and then there is an increasingneed for micro-holes in manufacture. At present there are many methods formachiningmicro-holes.However,machiningbyusingdrills is widelyusedall overtheworldbecauseittendstobethemostusefulinpractice. This iscommonlydoneon machines with hand feeding as the drill breakage is a critical and most troublemaking issue in an automated manufacturing system. To solve the problem,develop On-line & Real-time Monitoring System of Micro-hole Drilling. Duringdrilling , collecting some signal which reflect cutting tool wear condition, throughdata processing find characteristic signal .By means of the signal identify cuttingtool. Then the main control machine sends instruction to control system, adjustcutting condition.Parameters which reflect cutting tool condition are force, torqueand main shaft’s current. Monitor tool wear condition as single parameters, theirsensitivityis poor.Soit always applymulti-parametertomonitoringsystem,thenitcould reach better monitoring purpose.In addition, considering drilling machiningis a fuzzy process and tool wear condition is also fuzzy concept, apply fuzzycontrol which simulate man thinking process to drilling, and add fuzzy rule basedon practical experience, then using fuzzy mode identify aiguille’s wear condition,achieve better control effect. This paper develop a set On-line & Real-timeMonitoring System of micro-hole drilling based on multi-sensor’s informationcoordination and fuzzymode identification, set upfuzzyinference alarming modelbasedonknowledgedatabase.On-line & Real-time Monitoring System of micro-hole drilling need muchhardware such as the PC, high speed drill press, piezoelectricity dynamometer,Hall dynamometer, electric charge amplifier, NI6013data-acquisition card,transistor manostat and the SCM. The workpiece was fixed on the dynamometer.Byusinga piezoelectricitydynamometermeasureforceandtorquesignal, byusingHall dynamometer measure main shaft’s current signal. The data collected by adata-acquisition card were transmitted to a PC where they were stored for furtherprocessing.PCcontrolthe SCM through mutual seriescommunication.With the virtual instrument soft LabVIEW 7.0, built monitoring and dataprocessing system. The system could implement various functions includedcollecting date signal, storing the data, displaying the data real time andredisplaying the history data, filter, fuzzy identification and alarm display andimplementseriescommunicationwithSCMcontrolunit.The cutting forces were calibrated by the static parameter got through leastsquare methods. After analyze force signal, torque signal and main shaft’s currentsignal, pick up high-frequency component as the characteristic of the drill wearcondition.Fuzzy identification technology was applied to identify drill wear condition.Discuss the design of fuzzy logic controller, including fuzziness, fuzzy infering,defuzzification, building membership function and fuzzy control rule. Withexperiment data find drill wear limit value and then do real time experimentExperiment result indicates that apply the technology of fuzzy coordinationidentification of the multi-parameters could well identify tool wear condition. Itbetter avoid drill point breakage and workpiece scrap.This offers an effectivepathtointelligencemonitoringsystemofMicro-hole drilling.更多还原