On-line Monitoring System Of Micro-hole Drilling Based On Fuzzy Control

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.