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ID:36445098
大小:3.94 MB
页数:129页
时间:2019-05-10
《数字化超声检测系统及关键技术研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、洳≥:J、博士学位论文浙江大学博士学位论文数字化超声检测系统及关键技术研究像提高了配准速度,多图像平均方法能够消除噪声和界面波的影响。提出了变精度最大互相关图像配准算法及基于重心和特征点的图像配准算法,阐述了两种算法的优劣和适用范围。给出了航空锻件多试件超声检测的实例。最后,对全文的工作进行了回顾和总结,对下一步的工作提出了一些初步的设想。关键词:超声检测,混合控制,虚拟超声频谱分析仪,虚拟超声检测,置信度评价,仿形测量,图像配准IIABSTRACTThedissertationofferstheresearchonthebasic
2、theoryofdigitalultrasonictestsystemanditsautomatization.Thesystembasedonultrasonicboardrealizedultrasonictestintelligentizingandimaging.Theultrasonicimagingandflawrecognitionmethodweredesignedandarchivedbypresentingthehi曲一speedsamplingandreal-timeprocessingoftheultraso
3、nicsignal.Theautomatizationoftheultrasonictestsystemwasimprovedbasedontherobottechnique,errorcompensateandcontrolstrategy,Thedissertationdevelopedanewpropertyrightsystemdependedontheproject”Therodautomaticallyultrasonictestsystembasedonwaterlogging".Theprojectwasbornou
4、tofprojeet”Theresearchofultrasonictestsystemusedforwarindustry”.Chapteroneanalyzesthedevelopmentofdigitalultrasonictest.Accordingtoadvancedmanufacturingtechnologyandthebackgroundofprojecttask,thenecessityofarticlewasdisoussed.Thentheobjectandcontentsofthedissertationw哪
5、given.Theoverallprojectofdigitalultrasonictestsystemwasdiscussedtoo.Chaptertwoanalyzedthecharacterofdigitalultrasonictest.Themodelofdigitalultrasonictestbasedonultrasonicboardwasdeveloped.Accordingtodigitalultrasonictestsystem,themodelofdigitalultrasonictestwassetforth
6、.Thechapterdisscusedthetechnologyofhardwareindependenceandtemplatedprocessplanning.Inchapterthree,Thekinematicsmodelandcontrolstrategywerebuilt.Themultiplespindleultrasonictestrobotusedservocontrolsystem.Kinematicalanalysisofcontrolsystemwasputforward.Thecompensatemeth
7、odofrobotanditstolerancetechnologyweredisscussed.CompositecontrolsystembasedonFCSandDCSwasdeveloped.Chapter.fourintroducedultrasonicflawqualitativeanalysistechniqueandquantitativeanalysistechnique.Ultrasonicimageprocessingandfrequencydomainanalysistechnologywere.discus
8、sed.Accordingtovisualizationanddigitization,thecombinationimagingandflawrecognitionmethodwereanalysed.Thetheoreticalm
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